Unwinding a loop: why can't .NET add 1 + 2 + 3 ... ?

[Mountain Bikn' Guy]

Take some standard code such as shown below. It simply loops to add up a
series of terms and it produces the correct result.

// sum numbers with a loop
public int DoSumLooping(in t iterations)
{
int result = 0;
for(int i = 1;i <=iterations;i+ +)
{
result += i;
}
return result;
}

Now translate this into a specific solution that doesn't use looping (and
use the same value for the number of iterations the loop performs). This
code returns an incorrect result. The method consists entirely of a very
straightforward code statement, but in this case .NET adds the numbers
incorrectly.
public double ComputeSum( )
{
// Brute force sum method
// For iterations == 10000
double sum = 0+ 1+ 2+ 3+ 4+ 5+ 6+ 7+ 8+ 9+ 10+ 11+ 12+ 13+ 14+ 15+ ...
+ 9997+ 9998+ 9999+ 10000;
return sum;
}
The above method returns an incorrect result with any number of terms above
about 200. It will correctly add 1 + 2 + ... + 200, but it will NOT
correctly add 1 + 2 + ... + 1000.

I have just run across this, and I have not yet researched the possible
reasons for this behavior. It may be a known issue related to either stack
size or the length of a code line, but to my knowledge it hasn't been
discussed in any of the "popular" literature on C# and .NET. I need to write
code like this, so if anyone has already encountered this issue, please
advise me.
Here's another example that also creates problems, but of a somewhat
different nature. Take the following code and translate it into a specific,
non-looping method and try to execute it using reflection. It fails.

public double LoopToCompute()
{
double sumOfProducts = 0;
double grandTotal = 0;
for (int i = 0; i < maxRows; ++i)
{
for (int j = 0; j < maxCols; ++j)
{
sumOfProducts += coeff[j] * table[i][j];
}
a_point[i] = sumOfProducts;
grandTotal += sumOfProducts;
sumOfProducts = 0;
}
return grandTotal;
}//LoopToCompute

The above code works -- but it's equivalent code with loops unrolled (shown
below) doesn't work unless the maxRows is set very small. For small values,
the 2 methods (above and below) produce identical results. There is nothing
"wrong" with the code in that sense. It's similar to the above situation. If
the "size" of the code statement or the number of code statements is too
large, .NET fails. In this case (using reflection) it doesn't return the
incorrect result, as the first example did. In this case, reflection calls
it an invalid program and refuses to run it (but only when the value of
maxRows is above about 250). The reason for this is probably
straightforward . However, I have the need to make statements like this for
performance reasons so I need a work-around. Any suggestions are
appreciated! All comments are appreciated.

public double DoBruteForceCom pute()
{
double bruteForceSum = 0;

point1=coeff1*t able[0][0] +coeff2*table[0][1] +coeff3*table[0][2]
+coeff4*table[0][3] +coeff5*table[0][4] +coeff6*table[0][5]
+coeff7*table[0][6] +coeff8*table[0][7] +coeff9*table[0][8]
+coeff10*table[0][9] +coeff11*table[0][10] +coeff12*table[0][11]
+coeff13*table[0][12] +coeff14*table[0][13] +coeff15*table[0][14]
+coeff16*table[0][15] +coeff17*table[0][16] +coeff18*table[0][17]
+coeff19*table[0][18] +coeff20*table[0][19] +coeff21*table[0][20]
+coeff22*table[0][21] +coeff23*table[0][22] +coeff24*table[0][23]
+coeff25*table[0][24] +coeff26*table[0][25] +coeff27*table[0][26]
+coeff28*table[0][27] +coeff29*table[0][28] +coeff30*table[0][29]
+coeff31*table[0][30] +coeff32*table[0][31] +coeff33*table[0][32]
+coeff34*table[0][33] +coeff35*table[0][34] ;

point2=coeff1*t able[1][0] +coeff2*table[1][1] +coeff3*table[1][2]
+coeff4*table[1][3] +coeff5*table[1][4] +coeff6*table[1][5]
+coeff7*table[1][6] +coeff8*table[1][7] +coeff9*table[1][8]
+coeff10*table[1][9] +coeff11*table[1][10] +coeff12*table[1][11]
+coeff13*table[1][12] +coeff14*table[1][13] +coeff15*table[1][14]
+coeff16*table[1][15] +coeff17*table[1][16] +coeff18*table[1][17]
+coeff19*table[1][18] +coeff20*table[1][19] +coeff21*table[1][20]
+coeff22*table[1][21] +coeff23*table[1][22] +coeff24*table[1][23]
+coeff25*table[1][24] +coeff26*table[1][25] +coeff27*table[1][26]
+coeff28*table[1][27] +coeff29*table[1][28] +coeff30*table[1][29]
+coeff31*table[1][30] +coeff32*table[1][31] +coeff33*table[1][32]
+coeff34*table[1][33] +coeff35*table[1][34] ;
[...]

point500=coeff1 *table[499][0] +coeff2*table[499][1] +coeff3*table[499][2]
+coeff4*table[499][3] +coeff5*table[499][4] +coeff6*table[499][5]
+coeff7*table[499][6] +coeff8*table[499][7] +coeff9*table[499][8]
+coeff10*table[499][9] +coeff11*table[499][10] +coeff12*table[499][11]
+coeff13*table[499][12] +coeff14*table[499][13] +coeff15*table[499][14]
+coeff16*table[499][15] +coeff17*table[499][16] +coeff18*table[499][17]
+coeff19*table[499][18] +coeff20*table[499][19] +coeff21*table[499][20]
+coeff22*table[499][21] +coeff23*table[499][22] +coeff24*table[499][23]
+coeff25*table[499][24] +coeff26*table[499][25] +coeff27*table[499][26]
+coeff28*table[499][27] +coeff29*table[499][28] +coeff30*table[499][29]
+coeff31*table[499][30] +coeff32*table[499][31] +coeff33*table[499][32]
+coeff34*table[499][33] +coeff35*table[499][34] ;

bruteForceSum =
point1 +
point2 + ... +

point499 +
point500
;

return bruteForceSum;

}//DoBruteForceCom pute

[100]

You use variables of diferent type for the result.

result is *int*

// sum numbers with a loop
public int DoSumLooping(in t iterations)
{
int result = 0;
for(int i = 1;i <=iterations;i+ +)
{
result += i;
}
return result;
} public double ComputeSum( )
{
// Brute force sum method
// For iterations == 10000
double sum = 0+ 1+ 2+ 3+ 4+ 5+ 6+ 7+ 8+ 9+ 10+ 11+ 12+ 13+ 14+ 15+ .... + 9997+ 9998+ 9999+ 10000;
return sum;
}

result is *double*

Can it be de reason for the different results?

B\rgds
100

[William Ryan]

I just did it going with 200 Hard coded ints, then 390, then 300. Each time
I got the correct results. Are you positive of the input numbers? I know
that's a stupid question, but I first did each one by loading them into an
Int Array and adding them like that. It worked. Then I actually used
straight hard coding, and I used the number 10 each time and added 100000 to
the last one for good measure (just to make sure the value I had was
similarly high). No problems whatsoever. Inasmuch as you can load those
values in an array and iterate it successfully, couldn't you just load the
array and use an iterative approach? I understand that's what you are
asking about...why should you have to do this, but it's probably easier than
verifying the math each time when you know it will work. If I can find
anything, I'll repost.

HTH,

Bill
"Mountain Bikn' Guy" <[e-mail] > wrote in message
news:NZUjb.7959 42$YN5.793228@s ccrnsc01...

Take some standard code such as shown below. It simply loops to add up a
series of terms and it produces the correct result.

// sum numbers with a loop
public int DoSumLooping(in t iterations)
{
int result = 0;
for(int i = 1;i <=iterations;i+ +)
{
result += i;
}
return result;
}

Now translate this into a specific solution that doesn't use looping (and
use the same value for the number of iterations the loop performs). This
code returns an incorrect result. The method consists entirely of a very
straightforward code statement, but in this case .NET adds the numbers
incorrectly.
public double ComputeSum( )
{
// Brute force sum method
// For iterations == 10000
double sum = 0+ 1+ 2+ 3+ 4+ 5+ 6+ 7+ 8+ 9+ 10+ 11+ 12+ 13+ 14+ 15+ .... + 9997+ 9998+ 9999+ 10000;
return sum;
}
The above method returns an incorrect result with any number of terms above about 200. It will correctly add 1 + 2 + ... + 200, but it will NOT
correctly add 1 + 2 + ... + 1000.

I have just run across this, and I have not yet researched the possible
reasons for this behavior. It may be a known issue related to either stack
size or the length of a code line, but to my knowledge it hasn't been
discussed in any of the "popular" literature on C# and .NET. I need to write code like this, so if anyone has already encountered this issue, please
advise me.
Here's another example that also creates problems, but of a somewhat
different nature. Take the following code and translate it into a specific, non-looping method and try to execute it using reflection. It fails.

public double LoopToCompute()
{
double sumOfProducts = 0;
double grandTotal = 0;
for (int i = 0; i < maxRows; ++i)
{
for (int j = 0; j < maxCols; ++j)
{
sumOfProducts += coeff[j] * table[i][j];
}
a_point[i] = sumOfProducts;
grandTotal += sumOfProducts;
sumOfProducts = 0;
}
return grandTotal;
}//LoopToCompute

The above code works -- but it's equivalent code with loops unrolled (shown below) doesn't work unless the maxRows is set very small. For small values, the 2 methods (above and below) produce identical results. There is nothing "wrong" with the code in that sense. It's similar to the above situation. If the "size" of the code statement or the number of code statements is too
large, .NET fails. In this case (using reflection) it doesn't return the
incorrect result, as the first example did. In this case, reflection calls
it an invalid program and refuses to run it (but only when the value of
maxRows is above about 250). The reason for this is probably
straightforward . However, I have the need to make statements like this for
performance reasons so I need a work-around. Any suggestions are
appreciated! All comments are appreciated.

public double DoBruteForceCom pute()
{
double bruteForceSum = 0;

point1=coeff1*t able[0][0] +coeff2*table[0][1] +coeff3*table[0][2]
+coeff4*table[0][3] +coeff5*table[0][4] +coeff6*table[0][5]
+coeff7*table[0][6] +coeff8*table[0][7] +coeff9*table[0][8]
+coeff10*table[0][9] +coeff11*table[0][10] +coeff12*table[0][11]
+coeff13*table[0][12] +coeff14*table[0][13] +coeff15*table[0][14]
+coeff16*table[0][15] +coeff17*table[0][16] +coeff18*table[0][17]
+coeff19*table[0][18] +coeff20*table[0][19] +coeff21*table[0][20]
+coeff22*table[0][21] +coeff23*table[0][22] +coeff24*table[0][23]
+coeff25*table[0][24] +coeff26*table[0][25] +coeff27*table[0][26]
+coeff28*table[0][27] +coeff29*table[0][28] +coeff30*table[0][29]
+coeff31*table[0][30] +coeff32*table[0][31] +coeff33*table[0][32]
+coeff34*table[0][33] +coeff35*table[0][34] ;

point2=coeff1*t able[1][0] +coeff2*table[1][1] +coeff3*table[1][2]
+coeff4*table[1][3] +coeff5*table[1][4] +coeff6*table[1][5]
+coeff7*table[1][6] +coeff8*table[1][7] +coeff9*table[1][8]
+coeff10*table[1][9] +coeff11*table[1][10] +coeff12*table[1][11]
+coeff13*table[1][12] +coeff14*table[1][13] +coeff15*table[1][14]
+coeff16*table[1][15] +coeff17*table[1][16] +coeff18*table[1][17]
+coeff19*table[1][18] +coeff20*table[1][19] +coeff21*table[1][20]
+coeff22*table[1][21] +coeff23*table[1][22] +coeff24*table[1][23]
+coeff25*table[1][24] +coeff26*table[1][25] +coeff27*table[1][26]
+coeff28*table[1][27] +coeff29*table[1][28] +coeff30*table[1][29]
+coeff31*table[1][30] +coeff32*table[1][31] +coeff33*table[1][32]
+coeff34*table[1][33] +coeff35*table[1][34] ;
[...]

point500=coeff1 *table[499][0] +coeff2*table[499][1] +coeff3*table[499][2]
+coeff4*table[499][3] +coeff5*table[499][4] +coeff6*table[499][5]
+coeff7*table[499][6] +coeff8*table[499][7] +coeff9*table[499][8]
+coeff10*table[499][9] +coeff11*table[499][10] +coeff12*table[499][11]
+coeff13*table[499][12] +coeff14*table[499][13] +coeff15*table[499][14]
+coeff16*table[499][15] +coeff17*table[499][16] +coeff18*table[499][17]
+coeff19*table[499][18] +coeff20*table[499][19] +coeff21*table[499][20]
+coeff22*table[499][21] +coeff23*table[499][22] +coeff24*table[499][23]
+coeff25*table[499][24] +coeff26*table[499][25] +coeff27*table[499][26]
+coeff28*table[499][27] +coeff29*table[499][28] +coeff30*table[499][29]
+coeff31*table[499][30] +coeff32*table[499][31] +coeff33*table[499][32]
+coeff34*table[499][33] +coeff35*table[499][34] ;

bruteForceSum =
point1 +
point2 + ... +

point499 +
point500
;

return bruteForceSum;

}//DoBruteForceCom pute

[Mountain Bikn' Guy]

That's not the issue -- the return type doesn't affect the issue I'm
describing, and if you read my post you would have noticed that I said I had
validated that the results were identical for small problems. It's only when
the problem is large that the answers are different (and it is not a
rounding issue). The answers become vastly different -- by orders of
magnitude.

"100" <10*@100.com> wrote in message
news:OJ******** *****@TK2MSFTNG P11.phx.gbl...

You use variables of diferent type for the result.

result is *int*

// sum numbers with a loop
public int DoSumLooping(in t iterations)
{
int result = 0;
for(int i = 1;i <=iterations;i+ +)
{
result += i;
}
return result;
}

public double ComputeSum( )
{
// Brute force sum method
// For iterations == 10000
double sum = 0+ 1+ 2+ 3+ 4+ 5+ 6+ 7+ 8+ 9+ 10+ 11+ 12+ 13+ 14+ 15+

...

+ 9997+ 9998+ 9999+ 10000;
return sum;
}

result is *double*

Can it be de reason for the different results?

B\rgds
100

[William Ryan]

I thought that it might be the problem too and I tried it both ways. Since
I didn't test with decimals (it looks like his case, he didn't have any
decimals) the only difference was the .0 at the end of it if I declared it
as double.

I suspect that there may be decimals in there b/c it sure seems that if you
iterate with a loop, you should get the same numbers.

"100" <10*@100.com> wrote in message
news:OJ******** *****@TK2MSFTNG P11.phx.gbl...

You use variables of diferent type for the result.

result is *int*

// sum numbers with a loop
public int DoSumLooping(in t iterations)
{
int result = 0;
for(int i = 1;i <=iterations;i+ +)
{
result += i;
}
return result;
}

public double ComputeSum( )
{
// Brute force sum method
// For iterations == 10000
double sum = 0+ 1+ 2+ 3+ 4+ 5+ 6+ 7+ 8+ 9+ 10+ 11+ 12+ 13+ 14+ 15+

...

+ 9997+ 9998+ 9999+ 10000;
return sum;
}

result is *double*

Can it be de reason for the different results?

B\rgds
100

[Mountain Bikn' Guy]

Yes, I'm positive. I will post the exact code. Here is the test anyone can
do:
1. paste this code, compile and run. Check the result.
2. Use Excel and do the same thing and compare the result. In Excel, simply
enter 1 on row 1 and 2 on row 2, then copy down to 10000 (or whatever size
you wish). Then use the sum function to get the sum. You will see that the
C# code is vastly in error.

Here's the code (sorry, but it's long):
public double ComputeSum( )

{

// Brute force sum method

// For value = 10000

double sum = 0+ 1+ 2+ 3+ 4+ 5+ 6+ 7+ 8+ 9+ 10+ 11+ 12+ 13+ 14+ 15+ 16+ 17+
18+ 19+ 20+ 21+ 22+ 23+ 24+ 25+ 26+ 27+ 28+ 29+ 30+ 31+ 32+ 33+ 34+ 35+ 36+
37+ 38+ 39+ 40+ 41+ 42+ 43+ 44+ 45+ 46+ 47+ 48+ 49+ 50+ 51+ 52+ 53+ 54+ 55+
56+ 57+ 58+ 59+ 60+ 61+ 62+ 63+ 64+ 65+ 66+ 67+ 68+ 69+ 70+ 71+ 72+ 73+ 74+
75+ 76+ 77+ 78+ 79+ 80+ 81+ 82+ 83+ 84+ 85+ 86+ 87+ 88+ 89+ 90+ 91+ 92+ 93+
94+ 95+ 96+ 97+ 98+ 99+ 100+ 101+ 102+ 103+ 104+ 105+ 106+ 107+ 108+ 109+
110+ 111+ 112+ 113+ 114+ 115+ 116+ 117+ 118+ 119+ 120+ 121+ 122+ 123+ 124+
125+ 126+ 127+ 128+ 129+ 130+ 131+ 132+ 133+ 134+ 135+ 136+ 137+ 138+ 139+
140+ 141+ 142+ 143+ 144+ 145+ 146+ 147+ 148+ 149+ 150+ 151+ 152+ 153+ 154+
155+ 156+ 157+ 158+ 159+ 160+ 161+ 162+ 163+ 164+ 165+ 166+ 167+ 168+ 169+
170+ 171+ 172+ 173+ 174+ 175+ 176+ 177+ 178+ 179+ 180+ 181+ 182+ 183+ 184+
185+ 186+ 187+ 188+ 189+ 190+ 191+ 192+ 193+ 194+ 195+ 196+ 197+ 198+ 199+
200+ 201+ 202+ 203+ 204+ 205+ 206+ 207+ 208+ 209+ 210+ 211+ 212+ 213+ 214+
215+ 216+ 217+ 218+ 219+ 220+ 221+ 222+ 223+ 224+ 225+ 226+ 227+ 228+ 229+
230+ 231+ 232+ 233+ 234+ 235+ 236+ 237+ 238+ 239+ 240+ 241+ 242+ 243+ 244+
245+ 246+ 247+ 248+ 249+ 250+ 251+ 252+ 253+ 254+ 255+ 256+ 257+ 258+ 259+
260+ 261+ 262+ 263+ 264+ 265+ 266+ 267+ 268+ 269+ 270+ 271+ 272+ 273+ 274+
275+ 276+ 277+ 278+ 279+ 280+ 281+ 282+ 283+ 284+ 285+ 286+ 287+ 288+ 289+
290+ 291+ 292+ 293+ 294+ 295+ 296+ 297+ 298+ 299+ 300+ 301+ 302+ 303+ 304+
305+ 306+ 307+ 308+ 309+ 310+ 311+ 312+ 313+ 314+ 315+ 316+ 317+ 318+ 319+
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335+ 336+ 337+ 338+ 339+ 340+ 341+ 342+ 343+ 344+ 345+ 346+ 347+ 348+ 349+
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8748+ 8749+ 8750+ 8751+ 8752+ 8753+ 8754+ 8755+ 8756+ 8757+ 8758+ 8759+
8760+ 8761+ 8762+ 8763+ 8764+ 8765+ 8766+ 8767+ 8768+ 8769+ 8770+ 8771+
8772+ 8773+ 8774+ 8775+ 8776+ 8777+ 8778+ 8779+ 8780+ 8781+ 8782+ 8783+
8784+ 8785+ 8786+ 8787+ 8788+ 8789+ 8790+ 8791+ 8792+ 8793+ 8794+ 8795+
8796+ 8797+ 8798+ 8799+ 8800+ 8801+ 8802+ 8803+ 8804+ 8805+ 8806+ 8807+
8808+ 8809+ 8810+ 8811+ 8812+ 8813+ 8814+ 8815+ 8816+ 8817+ 8818+ 8819+
8820+ 8821+ 8822+ 8823+ 8824+ 8825+ 8826+ 8827+ 8828+ 8829+ 8830+ 8831+
8832+ 8833+ 8834+ 8835+ 8836+ 8837+ 8838+ 8839+ 8840+ 8841+ 8842+ 8843+
8844+ 8845+ 8846+ 8847+ 8848+ 8849+ 8850+ 8851+ 8852+ 8853+ 8854+ 8855+
8856+ 8857+ 8858+ 8859+ 8860+ 8861+ 8862+ 8863+ 8864+ 8865+ 8866+ 8867+
8868+ 8869+ 8870+ 8871+ 8872+ 8873+ 8874+ 8875+ 8876+ 8877+ 8878+ 8879+
8880+ 8881+ 8882+ 8883+ 8884+ 8885+ 8886+ 8887+ 8888+ 8889+ 8890+ 8891+
8892+ 8893+ 8894+ 8895+ 8896+ 8897+ 8898+ 8899+ 8900+ 8901+ 8902+ 8903+
8904+ 8905+ 8906+ 8907+ 8908+ 8909+ 8910+ 8911+ 8912+ 8913+ 8914+ 8915+
8916+ 8917+ 8918+ 8919+ 8920+ 8921+ 8922+ 8923+ 8924+ 8925+ 8926+ 8927+
8928+ 8929+ 8930+ 8931+ 8932+ 8933+ 8934+ 8935+ 8936+ 8937+ 8938+ 8939+
8940+ 8941+ 8942+ 8943+ 8944+ 8945+ 8946+ 8947+ 8948+ 8949+ 8950+ 8951+
8952+ 8953+ 8954+ 8955+ 8956+ 8957+ 8958+ 8959+ 8960+ 8961+ 8962+ 8963+
8964+ 8965+ 8966+ 8967+ 8968+ 8969+ 8970+ 8971+ 8972+ 8973+ 8974+ 8975+
8976+ 8977+ 8978+ 8979+ 8980+ 8981+ 8982+ 8983+ 8984+ 8985+ 8986+ 8987+
8988+ 8989+ 8990+ 8991+ 8992+ 8993+ 8994+ 8995+ 8996+ 8997+ 8998+ 8999+
9000+ 9001+ 9002+ 9003+ 9004+ 9005+ 9006+ 9007+ 9008+ 9009+ 9010+ 9011+
9012+ 9013+ 9014+ 9015+ 9016+ 9017+ 9018+ 9019+ 9020+ 9021+ 9022+ 9023+
9024+ 9025+ 9026+ 9027+ 9028+ 9029+ 9030+ 9031+ 9032+ 9033+ 9034+ 9035+
9036+ 9037+ 9038+ 9039+ 9040+ 9041+ 9042+ 9043+ 9044+ 9045+ 9046+ 9047+
9048+ 9049+ 9050+ 9051+ 9052+ 9053+ 9054+ 9055+ 9056+ 9057+ 9058+ 9059+
9060+ 9061+ 9062+ 9063+ 9064+ 9065+ 9066+ 9067+ 9068+ 9069+ 9070+ 9071+
9072+ 9073+ 9074+ 9075+ 9076+ 9077+ 9078+ 9079+ 9080+ 9081+ 9082+ 9083+
9084+ 9085+ 9086+ 9087+ 9088+ 9089+ 9090+ 9091+ 9092+ 9093+ 9094+ 9095+
9096+ 9097+ 9098+ 9099+ 9100+ 9101+ 9102+ 9103+ 9104+ 9105+ 9106+ 9107+
9108+ 9109+ 9110+ 9111+ 9112+ 9113+ 9114+ 9115+ 9116+ 9117+ 9118+ 9119+
9120+ 9121+ 9122+ 9123+ 9124+ 9125+ 9126+ 9127+ 9128+ 9129+ 9130+ 9131+
9132+ 9133+ 9134+ 9135+ 9136+ 9137+ 9138+ 9139+ 9140+ 9141+ 9142+ 9143+
9144+ 9145+ 9146+ 9147+ 9148+ 9149+ 9150+ 9151+ 9152+ 9153+ 9154+ 9155+
9156+ 9157+ 9158+ 9159+ 9160+ 9161+ 9162+ 9163+ 9164+ 9165+ 9166+ 9167+
9168+ 9169+ 9170+ 9171+ 9172+ 9173+ 9174+ 9175+ 9176+ 9177+ 9178+ 9179+
9180+ 9181+ 9182+ 9183+ 9184+ 9185+ 9186+ 9187+ 9188+ 9189+ 9190+ 9191+
9192+ 9193+ 9194+ 9195+ 9196+ 9197+ 9198+ 9199+ 9200+ 9201+ 9202+ 9203+
9204+ 9205+ 9206+ 9207+ 9208+ 9209+ 9210+ 9211+ 9212+ 9213+ 9214+ 9215+
9216+ 9217+ 9218+ 9219+ 9220+ 9221+ 9222+ 9223+ 9224+ 9225+ 9226+ 9227+
9228+ 9229+ 9230+ 9231+ 9232+ 9233+ 9234+ 9235+ 9236+ 9237+ 9238+ 9239+
9240+ 9241+ 9242+ 9243+ 9244+ 9245+ 9246+ 9247+ 9248+ 9249+ 9250+ 9251+
9252+ 9253+ 9254+ 9255+ 9256+ 9257+ 9258+ 9259+ 9260+ 9261+ 9262+ 9263+
9264+ 9265+ 9266+ 9267+ 9268+ 9269+ 9270+ 9271+ 9272+ 9273+ 9274+ 9275+
9276+ 9277+ 9278+ 9279+ 9280+ 9281+ 9282+ 9283+ 9284+ 9285+ 9286+ 9287+
9288+ 9289+ 9290+ 9291+ 9292+ 9293+ 9294+ 9295+ 9296+ 9297+ 9298+ 9299+
9300+ 9301+ 9302+ 9303+ 9304+ 9305+ 9306+ 9307+ 9308+ 9309+ 9310+ 9311+
9312+ 9313+ 9314+ 9315+ 9316+ 9317+ 9318+ 9319+ 9320+ 9321+ 9322+ 9323+
9324+ 9325+ 9326+ 9327+ 9328+ 9329+ 9330+ 9331+ 9332+ 9333+ 9334+ 9335+
9336+ 9337+ 9338+ 9339+ 9340+ 9341+ 9342+ 9343+ 9344+ 9345+ 9346+ 9347+
9348+ 9349+ 9350+ 9351+ 9352+ 9353+ 9354+ 9355+ 9356+ 9357+ 9358+ 9359+
9360+ 9361+ 9362+ 9363+ 9364+ 9365+ 9366+ 9367+ 9368+ 9369+ 9370+ 9371+
9372+ 9373+ 9374+ 9375+ 9376+ 9377+ 9378+ 9379+ 9380+ 9381+ 9382+ 9383+
9384+ 9385+ 9386+ 9387+ 9388+ 9389+ 9390+ 9391+ 9392+ 9393+ 9394+ 9395+
9396+ 9397+ 9398+ 9399+ 9400+ 9401+ 9402+ 9403+ 9404+ 9405+ 9406+ 9407+
9408+ 9409+ 9410+ 9411+ 9412+ 9413+ 9414+ 9415+ 9416+ 9417+ 9418+ 9419+
9420+ 9421+ 9422+ 9423+ 9424+ 9425+ 9426+ 9427+ 9428+ 9429+ 9430+ 9431+
9432+ 9433+ 9434+ 9435+ 9436+ 9437+ 9438+ 9439+ 9440+ 9441+ 9442+ 9443+
9444+ 9445+ 9446+ 9447+ 9448+ 9449+ 9450+ 9451+ 9452+ 9453+ 9454+ 9455+
9456+ 9457+ 9458+ 9459+ 9460+ 9461+ 9462+ 9463+ 9464+ 9465+ 9466+ 9467+
9468+ 9469+ 9470+ 9471+ 9472+ 9473+ 9474+ 9475+ 9476+ 9477+ 9478+ 9479+
9480+ 9481+ 9482+ 9483+ 9484+ 9485+ 9486+ 9487+ 9488+ 9489+ 9490+ 9491+
9492+ 9493+ 9494+ 9495+ 9496+ 9497+ 9498+ 9499+ 9500+ 9501+ 9502+ 9503+
9504+ 9505+ 9506+ 9507+ 9508+ 9509+ 9510+ 9511+ 9512+ 9513+ 9514+ 9515+
9516+ 9517+ 9518+ 9519+ 9520+ 9521+ 9522+ 9523+ 9524+ 9525+ 9526+ 9527+
9528+ 9529+ 9530+ 9531+ 9532+ 9533+ 9534+ 9535+ 9536+ 9537+ 9538+ 9539+
9540+ 9541+ 9542+ 9543+ 9544+ 9545+ 9546+ 9547+ 9548+ 9549+ 9550+ 9551+
9552+ 9553+ 9554+ 9555+ 9556+ 9557+ 9558+ 9559+ 9560+ 9561+ 9562+ 9563+
9564+ 9565+ 9566+ 9567+ 9568+ 9569+ 9570+ 9571+ 9572+ 9573+ 9574+ 9575+
9576+ 9577+ 9578+ 9579+ 9580+ 9581+ 9582+ 9583+ 9584+ 9585+ 9586+ 9587+
9588+ 9589+ 9590+ 9591+ 9592+ 9593+ 9594+ 9595+ 9596+ 9597+ 9598+ 9599+
9600+ 9601+ 9602+ 9603+ 9604+ 9605+ 9606+ 9607+ 9608+ 9609+ 9610+ 9611+
9612+ 9613+ 9614+ 9615+ 9616+ 9617+ 9618+ 9619+ 9620+ 9621+ 9622+ 9623+
9624+ 9625+ 9626+ 9627+ 9628+ 9629+ 9630+ 9631+ 9632+ 9633+ 9634+ 9635+
9636+ 9637+ 9638+ 9639+ 9640+ 9641+ 9642+ 9643+ 9644+ 9645+ 9646+ 9647+
9648+ 9649+ 9650+ 9651+ 9652+ 9653+ 9654+ 9655+ 9656+ 9657+ 9658+ 9659+
9660+ 9661+ 9662+ 9663+ 9664+ 9665+ 9666+ 9667+ 9668+ 9669+ 9670+ 9671+
9672+ 9673+ 9674+ 9675+ 9676+ 9677+ 9678+ 9679+ 9680+ 9681+ 9682+ 9683+
9684+ 9685+ 9686+ 9687+ 9688+ 9689+ 9690+ 9691+ 9692+ 9693+ 9694+ 9695+
9696+ 9697+ 9698+ 9699+ 9700+ 9701+ 9702+ 9703+ 9704+ 9705+ 9706+ 9707+
9708+ 9709+ 9710+ 9711+ 9712+ 9713+ 9714+ 9715+ 9716+ 9717+ 9718+ 9719+
9720+ 9721+ 9722+ 9723+ 9724+ 9725+ 9726+ 9727+ 9728+ 9729+ 9730+ 9731+
9732+ 9733+ 9734+ 9735+ 9736+ 9737+ 9738+ 9739+ 9740+ 9741+ 9742+ 9743+
9744+ 9745+ 9746+ 9747+ 9748+ 9749+ 9750+ 9751+ 9752+ 9753+ 9754+ 9755+
9756+ 9757+ 9758+ 9759+ 9760+ 9761+ 9762+ 9763+ 9764+ 9765+ 9766+ 9767+
9768+ 9769+ 9770+ 9771+ 9772+ 9773+ 9774+ 9775+ 9776+ 9777+ 9778+ 9779+
9780+ 9781+ 9782+ 9783+ 9784+ 9785+ 9786+ 9787+ 9788+ 9789+ 9790+ 9791+
9792+ 9793+ 9794+ 9795+ 9796+ 9797+ 9798+ 9799+ 9800+ 9801+ 9802+ 9803+
9804+ 9805+ 9806+ 9807+ 9808+ 9809+ 9810+ 9811+ 9812+ 9813+ 9814+ 9815+
9816+ 9817+ 9818+ 9819+ 9820+ 9821+ 9822+ 9823+ 9824+ 9825+ 9826+ 9827+
9828+ 9829+ 9830+ 9831+ 9832+ 9833+ 9834+ 9835+ 9836+ 9837+ 9838+ 9839+
9840+ 9841+ 9842+ 9843+ 9844+ 9845+ 9846+ 9847+ 9848+ 9849+ 9850+ 9851+
9852+ 9853+ 9854+ 9855+ 9856+ 9857+ 9858+ 9859+ 9860+ 9861+ 9862+ 9863+
9864+ 9865+ 9866+ 9867+ 9868+ 9869+ 9870+ 9871+ 9872+ 9873+ 9874+ 9875+
9876+ 9877+ 9878+ 9879+ 9880+ 9881+ 9882+ 9883+ 9884+ 9885+ 9886+ 9887+
9888+ 9889+ 9890+ 9891+ 9892+ 9893+ 9894+ 9895+ 9896+ 9897+ 9898+ 9899+
9900+ 9901+ 9902+ 9903+ 9904+ 9905+ 9906+ 9907+ 9908+ 9909+ 9910+ 9911+
9912+ 9913+ 9914+ 9915+ 9916+ 9917+ 9918+ 9919+ 9920+ 9921+ 9922+ 9923+
9924+ 9925+ 9926+ 9927+ 9928+ 9929+ 9930+ 9931+ 9932+ 9933+ 9934+ 9935+
9936+ 9937+ 9938+ 9939+ 9940+ 9941+ 9942+ 9943+ 9944+ 9945+ 9946+ 9947+
9948+ 9949+ 9950+ 9951+ 9952+ 9953+ 9954+ 9955+ 9956+ 9957+ 9958+ 9959+
9960+ 9961+ 9962+ 9963+ 9964+ 9965+ 9966+ 9967+ 9968+ 9969+ 9970+ 9971+
9972+ 9973+ 9974+ 9975+ 9976+ 9977+ 9978+ 9979+ 9980+ 9981+ 9982+ 9983+
9984+ 9985+ 9986+ 9987+ 9988+ 9989+ 9990+ 9991+ 9992+ 9993+ 9994+ 9995+
9996+ 9997+ 9998+ 9999+ 10000;

return sum;

}

"William Ryan" <do********@com cast.nospam.net > wrote in message
news:%2******** *******@TK2MSFT NGP09.phx.gbl.. .

I just did it going with 200 Hard coded ints, then 390, then 300. Each time I got the correct results. Are you positive of the input numbers? I know
that's a stupid question, but I first did each one by loading them into an
Int Array and adding them like that. It worked. Then I actually used
straight hard coding, and I used the number 10 each time and added 100000 to the last one for good measure (just to make sure the value I had was
similarly high). No problems whatsoever. Inasmuch as you can load those
values in an array and iterate it successfully, couldn't you just load the
array and use an iterative approach? I understand that's what you are
asking about...why should you have to do this, but it's probably easier than verifying the math each time when you know it will work. If I can find
anything, I'll repost.

HTH,

Bill
"Mountain Bikn' Guy" <[e-mail] > wrote in message
news:NZUjb.7959 42$YN5.793228@s ccrnsc01...

Take some standard code such as shown below. It simply loops to add up a
series of terms and it produces the correct result.

// sum numbers with a loop
public int DoSumLooping(in t iterations)
{
int result = 0;
for(int i = 1;i <=iterations;i+ +)
{
result += i;
}
return result;
}

Now translate this into a specific solution that doesn't use looping (and use the same value for the number of iterations the loop performs). This
code returns an incorrect result. The method consists entirely of a very
straightforward code statement, but in this case .NET adds the numbers
incorrectly.
public double ComputeSum( )
{
// Brute force sum method
// For iterations == 10000
double sum = 0+ 1+ 2+ 3+ 4+ 5+ 6+ 7+ 8+ 9+ 10+ 11+ 12+ 13+ 14+ 15+ ...

+ 9997+ 9998+ 9999+ 10000;
return sum;
}
The above method returns an incorrect result with any number of terms

above

about 200. It will correctly add 1 + 2 + ... + 200, but it will NOT
correctly add 1 + 2 + ... + 1000.

I have just run across this, and I have not yet researched the possible
reasons for this behavior. It may be a known issue related to either stack size or the length of a code line, but to my knowledge it hasn't been
discussed in any of the "popular" literature on C# and .NET. I need to

write

code like this, so if anyone has already encountered this issue, please
advise me.
Here's another example that also creates problems, but of a somewhat
different nature. Take the following code and translate it into a

specific,

non-looping method and try to execute it using reflection. It fails.

public double LoopToCompute()
{
double sumOfProducts = 0;
double grandTotal = 0;
for (int i = 0; i < maxRows; ++i)
{
for (int j = 0; j < maxCols; ++j)
{
sumOfProducts += coeff[j] * table[i][j];
}
a_point[i] = sumOfProducts;
grandTotal += sumOfProducts;
sumOfProducts = 0;
}
return grandTotal;
}//LoopToCompute

The above code works -- but it's equivalent code with loops unrolled

(shown

below) doesn't work unless the maxRows is set very small. For small

values,

the 2 methods (above and below) produce identical results. There is

nothing

"wrong" with the code in that sense. It's similar to the above situation. If

the "size" of the code statement or the number of code statements is too
large, .NET fails. In this case (using reflection) it doesn't return the
incorrect result, as the first example did. In this case, reflection

calls it an invalid program and refuses to run it (but only when the value of
maxRows is above about 250). The reason for this is probably
straightforward . However, I have the need to make statements like this for performance reasons so I need a work-around. Any suggestions are
appreciated! All comments are appreciated.

public double DoBruteForceCom pute()
{
double bruteForceSum = 0;

point1=coeff1*t able[0][0] +coeff2*table[0][1] +coeff3*table[0][2]
+coeff4*table[0][3] +coeff5*table[0][4] +coeff6*table[0][5]
+coeff7*table[0][6] +coeff8*table[0][7] +coeff9*table[0][8]
+coeff10*table[0][9] +coeff11*table[0][10] +coeff12*table[0][11]
+coeff13*table[0][12] +coeff14*table[0][13] +coeff15*table[0][14]
+coeff16*table[0][15] +coeff17*table[0][16] +coeff18*table[0][17]
+coeff19*table[0][18] +coeff20*table[0][19] +coeff21*table[0][20]
+coeff22*table[0][21] +coeff23*table[0][22] +coeff24*table[0][23]
+coeff25*table[0][24] +coeff26*table[0][25] +coeff27*table[0][26]
+coeff28*table[0][27] +coeff29*table[0][28] +coeff30*table[0][29]
+coeff31*table[0][30] +coeff32*table[0][31] +coeff33*table[0][32]
+coeff34*table[0][33] +coeff35*table[0][34] ;

point2=coeff1*t able[1][0] +coeff2*table[1][1] +coeff3*table[1][2]
+coeff4*table[1][3] +coeff5*table[1][4] +coeff6*table[1][5]
+coeff7*table[1][6] +coeff8*table[1][7] +coeff9*table[1][8]
+coeff10*table[1][9] +coeff11*table[1][10] +coeff12*table[1][11]
+coeff13*table[1][12] +coeff14*table[1][13] +coeff15*table[1][14]
+coeff16*table[1][15] +coeff17*table[1][16] +coeff18*table[1][17]
+coeff19*table[1][18] +coeff20*table[1][19] +coeff21*table[1][20]
+coeff22*table[1][21] +coeff23*table[1][22] +coeff24*table[1][23]
+coeff25*table[1][24] +coeff26*table[1][25] +coeff27*table[1][26]
+coeff28*table[1][27] +coeff29*table[1][28] +coeff30*table[1][29]
+coeff31*table[1][30] +coeff32*table[1][31] +coeff33*table[1][32]
+coeff34*table[1][33] +coeff35*table[1][34] ;
[...]

point500=coeff1 *table[499][0] +coeff2*table[499][1] +coeff3*table[499][2] +coeff4*table[499][3] +coeff5*table[499][4] +coeff6*table[499][5]
+coeff7*table[499][6] +coeff8*table[499][7] +coeff9*table[499][8]
+coeff10*table[499][9] +coeff11*table[499][10] +coeff12*table[499][11]
+coeff13*table[499][12] +coeff14*table[499][13] +coeff15*table[499][14]
+coeff16*table[499][15] +coeff17*table[499][16] +coeff18*table[499][17]
+coeff19*table[499][18] +coeff20*table[499][19] +coeff21*table[499][20]
+coeff22*table[499][21] +coeff23*table[499][22] +coeff24*table[499][23]
+coeff25*table[499][24] +coeff26*table[499][25] +coeff27*table[499][26]
+coeff28*table[499][27] +coeff29*table[499][28] +coeff30*table[499][29]
+coeff31*table[499][30] +coeff32*table[499][31] +coeff33*table[499][32]
+coeff34*table[499][33] +coeff35*table[499][34] ;

bruteForceSum =
point1 +
point2 + ... +

point499 +
point500
;

return bruteForceSum;

}//DoBruteForceCom pute

[Jhon]

Hi,

Maybe not the issue, tough it unwinds the loop, the sum of the first n
consecutive numbers:

(n+1)*n
= ---------
2

Greetings
"Mountain Bikn' Guy" <[e-mail] > wrote in message
news:NZUjb.7959 42$YN5.793228@s ccrnsc01...

Take some standard code such as shown below. It simply loops to add up a
series of terms and it produces the correct result.

// sum numbers with a loop
public int DoSumLooping(in t iterations)
{
int result = 0;
for(int i = 1;i <=iterations;i+ +)
{
result += i;
}
return result;
}

Now translate this into a specific solution that doesn't use looping (and
use the same value for the number of iterations the loop performs). This
code returns an incorrect result. The method consists entirely of a very
straightforward code statement, but in this case .NET adds the numbers
incorrectly.
public double ComputeSum( )
{
// Brute force sum method
// For iterations == 10000
double sum = 0+ 1+ 2+ 3+ 4+ 5+ 6+ 7+ 8+ 9+ 10+ 11+ 12+ 13+ 14+ 15+ .... + 9997+ 9998+ 9999+ 10000;
return sum;
}
The above method returns an incorrect result with any number of terms above about 200. It will correctly add 1 + 2 + ... + 200, but it will NOT
correctly add 1 + 2 + ... + 1000.

I have just run across this, and I have not yet researched the possible
reasons for this behavior. It may be a known issue related to either stack
size or the length of a code line, but to my knowledge it hasn't been
discussed in any of the "popular" literature on C# and .NET. I need to write code like this, so if anyone has already encountered this issue, please
advise me.
Here's another example that also creates problems, but of a somewhat
different nature. Take the following code and translate it into a specific, non-looping method and try to execute it using reflection. It fails.

public double LoopToCompute()
{
double sumOfProducts = 0;
double grandTotal = 0;
for (int i = 0; i < maxRows; ++i)
{
for (int j = 0; j < maxCols; ++j)
{
sumOfProducts += coeff[j] * table[i][j];
}
a_point[i] = sumOfProducts;
grandTotal += sumOfProducts;
sumOfProducts = 0;
}
return grandTotal;
}//LoopToCompute

The above code works -- but it's equivalent code with loops unrolled (shown below) doesn't work unless the maxRows is set very small. For small values, the 2 methods (above and below) produce identical results. There is nothing "wrong" with the code in that sense. It's similar to the above situation. If the "size" of the code statement or the number of code statements is too
large, .NET fails. In this case (using reflection) it doesn't return the
incorrect result, as the first example did. In this case, reflection calls
it an invalid program and refuses to run it (but only when the value of
maxRows is above about 250). The reason for this is probably
straightforward . However, I have the need to make statements like this for
performance reasons so I need a work-around. Any suggestions are
appreciated! All comments are appreciated.

public double DoBruteForceCom pute()
{
double bruteForceSum = 0;

point1=coeff1*t able[0][0] +coeff2*table[0][1] +coeff3*table[0][2]
+coeff4*table[0][3] +coeff5*table[0][4] +coeff6*table[0][5]
+coeff7*table[0][6] +coeff8*table[0][7] +coeff9*table[0][8]
+coeff10*table[0][9] +coeff11*table[0][10] +coeff12*table[0][11]
+coeff13*table[0][12] +coeff14*table[0][13] +coeff15*table[0][14]
+coeff16*table[0][15] +coeff17*table[0][16] +coeff18*table[0][17]
+coeff19*table[0][18] +coeff20*table[0][19] +coeff21*table[0][20]
+coeff22*table[0][21] +coeff23*table[0][22] +coeff24*table[0][23]
+coeff25*table[0][24] +coeff26*table[0][25] +coeff27*table[0][26]
+coeff28*table[0][27] +coeff29*table[0][28] +coeff30*table[0][29]
+coeff31*table[0][30] +coeff32*table[0][31] +coeff33*table[0][32]
+coeff34*table[0][33] +coeff35*table[0][34] ;

point2=coeff1*t able[1][0] +coeff2*table[1][1] +coeff3*table[1][2]
+coeff4*table[1][3] +coeff5*table[1][4] +coeff6*table[1][5]
+coeff7*table[1][6] +coeff8*table[1][7] +coeff9*table[1][8]
+coeff10*table[1][9] +coeff11*table[1][10] +coeff12*table[1][11]
+coeff13*table[1][12] +coeff14*table[1][13] +coeff15*table[1][14]
+coeff16*table[1][15] +coeff17*table[1][16] +coeff18*table[1][17]
+coeff19*table[1][18] +coeff20*table[1][19] +coeff21*table[1][20]
+coeff22*table[1][21] +coeff23*table[1][22] +coeff24*table[1][23]
+coeff25*table[1][24] +coeff26*table[1][25] +coeff27*table[1][26]
+coeff28*table[1][27] +coeff29*table[1][28] +coeff30*table[1][29]
+coeff31*table[1][30] +coeff32*table[1][31] +coeff33*table[1][32]
+coeff34*table[1][33] +coeff35*table[1][34] ;
[...]

point500=coeff1 *table[499][0] +coeff2*table[499][1] +coeff3*table[499][2]
+coeff4*table[499][3] +coeff5*table[499][4] +coeff6*table[499][5]
+coeff7*table[499][6] +coeff8*table[499][7] +coeff9*table[499][8]
+coeff10*table[499][9] +coeff11*table[499][10] +coeff12*table[499][11]
+coeff13*table[499][12] +coeff14*table[499][13] +coeff15*table[499][14]
+coeff16*table[499][15] +coeff17*table[499][16] +coeff18*table[499][17]
+coeff19*table[499][18] +coeff20*table[499][19] +coeff21*table[499][20]
+coeff22*table[499][21] +coeff23*table[499][22] +coeff24*table[499][23]
+coeff25*table[499][24] +coeff26*table[499][25] +coeff27*table[499][26]
+coeff28*table[499][27] +coeff29*table[499][28] +coeff30*table[499][29]
+coeff31*table[499][30] +coeff32*table[499][31] +coeff33*table[499][32]
+coeff34*table[499][33] +coeff35*table[499][34] ;

bruteForceSum =
point1 +
point2 + ... +

point499 +
point500
;

return bruteForceSum;

}//DoBruteForceCom pute

[memememe]

maybe there is some sort of limit on the ammount of +s and length of your
line, have you tried splitting it on small chunks?
"Mountain Bikn' Guy" <[e-mail] > wrote in message
news:NZUjb.7959 42$YN5.793228@s ccrnsc01...

Take some standard code such as shown below. It simply loops to add up a
series of terms and it produces the correct result.

// sum numbers with a loop
public int DoSumLooping(in t iterations)
{
int result = 0;
for(int i = 1;i <=iterations;i+ +)
{
result += i;
}
return result;
}

Now translate this into a specific solution that doesn't use looping (and
use the same value for the number of iterations the loop performs). This
code returns an incorrect result. The method consists entirely of a very
straightforward code statement, but in this case .NET adds the numbers
incorrectly.
public double ComputeSum( )
{
// Brute force sum method
// For iterations == 10000
double sum = 0+ 1+ 2+ 3+ 4+ 5+ 6+ 7+ 8+ 9+ 10+ 11+ 12+ 13+ 14+ 15+ .... + 9997+ 9998+ 9999+ 10000;
return sum;
}
The above method returns an incorrect result with any number of terms above about 200. It will correctly add 1 + 2 + ... + 200, but it will NOT
correctly add 1 + 2 + ... + 1000.

I have just run across this, and I have not yet researched the possible
reasons for this behavior. It may be a known issue related to either stack
size or the length of a code line, but to my knowledge it hasn't been
discussed in any of the "popular" literature on C# and .NET. I need to write code like this, so if anyone has already encountered this issue, please
advise me.
Here's another example that also creates problems, but of a somewhat
different nature. Take the following code and translate it into a specific, non-looping method and try to execute it using reflection. It fails.

public double LoopToCompute()
{
double sumOfProducts = 0;
double grandTotal = 0;
for (int i = 0; i < maxRows; ++i)
{
for (int j = 0; j < maxCols; ++j)
{
sumOfProducts += coeff[j] * table[i][j];
}
a_point[i] = sumOfProducts;
grandTotal += sumOfProducts;
sumOfProducts = 0;
}
return grandTotal;
}//LoopToCompute

The above code works -- but it's equivalent code with loops unrolled (shown below) doesn't work unless the maxRows is set very small. For small values, the 2 methods (above and below) produce identical results. There is nothing "wrong" with the code in that sense. It's similar to the above situation. If the "size" of the code statement or the number of code statements is too
large, .NET fails. In this case (using reflection) it doesn't return the
incorrect result, as the first example did. In this case, reflection calls
it an invalid program and refuses to run it (but only when the value of
maxRows is above about 250). The reason for this is probably
straightforward . However, I have the need to make statements like this for
performance reasons so I need a work-around. Any suggestions are
appreciated! All comments are appreciated.

public double DoBruteForceCom pute()
{
double bruteForceSum = 0;

point1=coeff1*t able[0][0] +coeff2*table[0][1] +coeff3*table[0][2]
+coeff4*table[0][3] +coeff5*table[0][4] +coeff6*table[0][5]
+coeff7*table[0][6] +coeff8*table[0][7] +coeff9*table[0][8]
+coeff10*table[0][9] +coeff11*table[0][10] +coeff12*table[0][11]
+coeff13*table[0][12] +coeff14*table[0][13] +coeff15*table[0][14]
+coeff16*table[0][15] +coeff17*table[0][16] +coeff18*table[0][17]
+coeff19*table[0][18] +coeff20*table[0][19] +coeff21*table[0][20]
+coeff22*table[0][21] +coeff23*table[0][22] +coeff24*table[0][23]
+coeff25*table[0][24] +coeff26*table[0][25] +coeff27*table[0][26]
+coeff28*table[0][27] +coeff29*table[0][28] +coeff30*table[0][29]
+coeff31*table[0][30] +coeff32*table[0][31] +coeff33*table[0][32]
+coeff34*table[0][33] +coeff35*table[0][34] ;

point2=coeff1*t able[1][0] +coeff2*table[1][1] +coeff3*table[1][2]
+coeff4*table[1][3] +coeff5*table[1][4] +coeff6*table[1][5]
+coeff7*table[1][6] +coeff8*table[1][7] +coeff9*table[1][8]
+coeff10*table[1][9] +coeff11*table[1][10] +coeff12*table[1][11]
+coeff13*table[1][12] +coeff14*table[1][13] +coeff15*table[1][14]
+coeff16*table[1][15] +coeff17*table[1][16] +coeff18*table[1][17]
+coeff19*table[1][18] +coeff20*table[1][19] +coeff21*table[1][20]
+coeff22*table[1][21] +coeff23*table[1][22] +coeff24*table[1][23]
+coeff25*table[1][24] +coeff26*table[1][25] +coeff27*table[1][26]
+coeff28*table[1][27] +coeff29*table[1][28] +coeff30*table[1][29]
+coeff31*table[1][30] +coeff32*table[1][31] +coeff33*table[1][32]
+coeff34*table[1][33] +coeff35*table[1][34] ;
[...]

point500=coeff1 *table[499][0] +coeff2*table[499][1] +coeff3*table[499][2]
+coeff4*table[499][3] +coeff5*table[499][4] +coeff6*table[499][5]
+coeff7*table[499][6] +coeff8*table[499][7] +coeff9*table[499][8]
+coeff10*table[499][9] +coeff11*table[499][10] +coeff12*table[499][11]
+coeff13*table[499][12] +coeff14*table[499][13] +coeff15*table[499][14]
+coeff16*table[499][15] +coeff17*table[499][16] +coeff18*table[499][17]
+coeff19*table[499][18] +coeff20*table[499][19] +coeff21*table[499][20]
+coeff22*table[499][21] +coeff23*table[499][22] +coeff24*table[499][23]
+coeff25*table[499][24] +coeff26*table[499][25] +coeff27*table[499][26]
+coeff28*table[499][27] +coeff29*table[499][28] +coeff30*table[499][29]
+coeff31*table[499][30] +coeff32*table[499][31] +coeff33*table[499][32]
+coeff34*table[499][33] +coeff35*table[499][34] ;

bruteForceSum =
point1 +
point2 + ... +

point499 +
point500
;

return bruteForceSum;

}//DoBruteForceCom pute

[William Ryan]

Ok, I just ran it and after my IDE finished choking, I'm getting 50005000
whether I loop through it or use your code. That is the same number Excel
is giving me.

Are you getting 50005000 in your computations? From this machine, it looks
like it's working correctly.
"Mountain Bikn' Guy" <[e-mail] > wrote in message
news:tuVjb.8068 80$uu5.142280@s ccrnsc04...

Yes, I'm positive. I will post the exact code. Here is the test anyone can
do:
1. paste this code, compile and run. Check the result.
2. Use Excel and do the same thing and compare the result. In Excel, simply enter 1 on row 1 and 2 on row 2, then copy down to 10000 (or whatever size
you wish). Then use the sum function to get the sum. You will see that the
C# code is vastly in error.

Here's the code (sorry, but it's long):
public double ComputeSum( )

{

// Brute force sum method

// For value = 10000

double sum = 0+ 1+ 2+ 3+ 4+ 5+ 6+ 7+ 8+ 9+ 10+ 11+ 12+ 13+ 14+ 15+ 16+ 17+
18+ 19+ 20+ 21+ 22+ 23+ 24+ 25+ 26+ 27+ 28+ 29+ 30+ 31+ 32+ 33+ 34+ 35+ 36+ 37+ 38+ 39+ 40+ 41+ 42+ 43+ 44+ 45+ 46+ 47+ 48+ 49+ 50+ 51+ 52+ 53+ 54+ 55+ 56+ 57+ 58+ 59+ 60+ 61+ 62+ 63+ 64+ 65+ 66+ 67+ 68+ 69+ 70+ 71+ 72+ 73+ 74+ 75+ 76+ 77+ 78+ 79+ 80+ 81+ 82+ 83+ 84+ 85+ 86+ 87+ 88+ 89+ 90+ 91+ 92+ 93+ 94+ 95+ 96+ 97+ 98+ 99+ 100+ 101+ 102+ 103+ 104+ 105+ 106+ 107+ 108+ 109+
110+ 111+ 112+ 113+ 114+ 115+ 116+ 117+ 118+ 119+ 120+ 121+ 122+ 123+ 124+
125+ 126+ 127+ 128+ 129+ 130+ 131+ 132+ 133+ 134+ 135+ 136+ 137+ 138+ 139+
140+ 141+ 142+ 143+ 144+ 145+ 146+ 147+ 148+ 149+ 150+ 151+ 152+ 153+ 154+
155+ 156+ 157+ 158+ 159+ 160+ 161+ 162+ 163+ 164+ 165+ 166+ 167+ 168+ 169+
170+ 171+ 172+ 173+ 174+ 175+ 176+ 177+ 178+ 179+ 180+ 181+ 182+ 183+ 184+
185+ 186+ 187+ 188+ 189+ 190+ 191+ 192+ 193+ 194+ 195+ 196+ 197+ 198+ 199+
200+ 201+ 202+ 203+ 204+ 205+ 206+ 207+ 208+ 209+ 210+ 211+ 212+ 213+ 214+
215+ 216+ 217+ 218+ 219+ 220+ 221+ 222+ 223+ 224+ 225+ 226+ 227+ 228+ 229+
230+ 231+ 232+ 233+ 234+ 235+ 236+ 237+ 238+ 239+ 240+ 241+ 242+ 243+ 244+
245+ 246+ 247+ 248+ 249+ 250+ 251+ 252+ 253+ 254+ 255+ 256+ 257+ 258+ 259+
260+ 261+ 262+ 263+ 264+ 265+ 266+ 267+ 268+ 269+ 270+ 271+ 272+ 273+ 274+
275+ 276+ 277+ 278+ 279+ 280+ 281+ 282+ 283+ 284+ 285+ 286+ 287+ 288+ 289+
290+ 291+ 292+ 293+ 294+ 295+ 296+ 297+ 298+ 299+ 300+ 301+ 302+ 303+ 304+
305+ 306+ 307+ 308+ 309+ 310+ 311+ 312+ 313+ 314+ 315+ 316+ 317+ 318+ 319+
320+ 321+ 322+ 323+ 324+ 325+ 326+ 327+ 328+ 329+ 330+ 331+ 332+ 333+ 334+
335+ 336+ 337+ 338+ 339+ 340+ 341+ 342+ 343+ 344+ 345+ 346+ 347+ 348+ 349+
350+ 351+ 352+ 353+ 354+ 355+ 356+ 357+ 358+ 359+ 360+ 361+ 362+ 363+ 364+
365+ 366+ 367+ 368+ 369+ 370+ 371+ 372+ 373+ 374+ 375+ 376+ 377+ 378+ 379+
380+ 381+ 382+ 383+ 384+ 385+ 386+ 387+ 388+ 389+ 390+ 391+ 392+ 393+ 394+
395+ 396+ 397+ 398+ 399+ 400+ 401+ 402+ 403+ 404+ 405+ 406+ 407+ 408+ 409+
410+ 411+ 412+ 413+ 414+ 415+ 416+ 417+ 418+ 419+ 420+ 421+ 422+ 423+ 424+
425+ 426+ 427+ 428+ 429+ 430+ 431+ 432+ 433+ 434+ 435+ 436+ 437+ 438+ 439+
440+ 441+ 442+ 443+ 444+ 445+ 446+ 447+ 448+ 449+ 450+ 451+ 452+ 453+ 454+
455+ 456+ 457+ 458+ 459+ 460+ 461+ 462+ 463+ 464+ 465+ 466+ 467+ 468+ 469+
470+ 471+ 472+ 473+ 474+ 475+ 476+ 477+ 478+ 479+ 480+ 481+ 482+ 483+ 484+
485+ 486+ 487+ 488+ 489+ 490+ 491+ 492+ 493+ 494+ 495+ 496+ 497+ 498+ 499+
500+ 501+ 502+ 503+ 504+ 505+ 506+ 507+ 508+ 509+ 510+ 511+ 512+ 513+ 514+
515+ 516+ 517+ 518+ 519+ 520+ 521+ 522+ 523+ 524+ 525+ 526+ 527+ 528+ 529+
530+ 531+ 532+ 533+ 534+ 535+ 536+ 537+ 538+ 539+ 540+ 541+ 542+ 543+ 544+
545+ 546+ 547+ 548+ 549+ 550+ 551+ 552+ 553+ 554+ 555+ 556+ 557+ 558+ 559+
560+ 561+ 562+ 563+ 564+ 565+ 566+ 567+ 568+ 569+ 570+ 571+ 572+ 573+ 574+
575+ 576+ 577+ 578+ 579+ 580+ 581+ 582+ 583+ 584+ 585+ 586+ 587+ 588+ 589+
590+ 591+ 592+ 593+ 594+ 595+ 596+ 597+ 598+ 599+ 600+ 601+ 602+ 603+ 604+
605+ 606+ 607+ 608+ 609+ 610+ 611+ 612+ 613+ 614+ 615+ 616+ 617+ 618+ 619+
620+ 621+ 622+ 623+ 624+ 625+ 626+ 627+ 628+ 629+ 630+ 631+ 632+ 633+ 634+
635+ 636+ 637+ 638+ 639+ 640+ 641+ 642+ 643+ 644+ 645+ 646+ 647+ 648+ 649+
650+ 651+ 652+ 653+ 654+ 655+ 656+ 657+ 658+ 659+ 660+ 661+ 662+ 663+ 664+
665+ 666+ 667+ 668+ 669+ 670+ 671+ 672+ 673+ 674+ 675+ 676+ 677+ 678+ 679+
680+ 681+ 682+ 683+ 684+ 685+ 686+ 687+ 688+ 689+ 690+ 691+ 692+ 693+ 694+
695+ 696+ 697+ 698+ 699+ 700+ 701+ 702+ 703+ 704+ 705+ 706+ 707+ 708+ 709+
710+ 711+ 712+ 713+ 714+ 715+ 716+ 717+ 718+ 719+ 720+ 721+ 722+ 723+ 724+
725+ 726+ 727+ 728+ 729+ 730+ 731+ 732+ 733+ 734+ 735+ 736+ 737+ 738+ 739+
740+ 741+ 742+ 743+ 744+ 745+ 746+ 747+ 748+ 749+ 750+ 751+ 752+ 753+ 754+
755+ 756+ 757+ 758+ 759+ 760+ 761+ 762+ 763+ 764+ 765+ 766+ 767+ 768+ 769+
770+ 771+ 772+ 773+ 774+ 775+ 776+ 777+ 778+ 779+ 780+ 781+ 782+ 783+ 784+
785+ 786+ 787+ 788+ 789+ 790+ 791+ 792+ 793+ 794+ 795+ 796+ 797+ 798+ 799+
800+ 801+ 802+ 803+ 804+ 805+ 806+ 807+ 808+ 809+ 810+ 811+ 812+ 813+ 814+
815+ 816+ 817+ 818+ 819+ 820+ 821+ 822+ 823+ 824+ 825+ 826+ 827+ 828+ 829+
830+ 831+ 832+ 833+ 834+ 835+ 836+ 837+ 838+ 839+ 840+ 841+ 842+ 843+ 844+
845+ 846+ 847+ 848+ 849+ 850+ 851+ 852+ 853+ 854+ 855+ 856+ 857+ 858+ 859+
860+ 861+ 862+ 863+ 864+ 865+ 866+ 867+ 868+ 869+ 870+ 871+ 872+ 873+ 874+
875+ 876+ 877+ 878+ 879+ 880+ 881+ 882+ 883+ 884+ 885+ 886+ 887+ 888+ 889+
890+ 891+ 892+ 893+ 894+ 895+ 896+ 897+ 898+ 899+ 900+ 901+ 902+ 903+ 904+
905+ 906+ 907+ 908+ 909+ 910+ 911+ 912+ 913+ 914+ 915+ 916+ 917+ 918+ 919+
920+ 921+ 922+ 923+ 924+ 925+ 926+ 927+ 928+ 929+ 930+ 931+ 932+ 933+ 934+
935+ 936+ 937+ 938+ 939+ 940+ 941+ 942+ 943+ 944+ 945+ 946+ 947+ 948+ 949+
950+ 951+ 952+ 953+ 954+ 955+ 956+ 957+ 958+ 959+ 960+ 961+ 962+ 963+ 964+
965+ 966+ 967+ 968+ 969+ 970+ 971+ 972+ 973+ 974+ 975+ 976+ 977+ 978+ 979+
980+ 981+ 982+ 983+ 984+ 985+ 986+ 987+ 988+ 989+ 990+ 991+ 992+ 993+ 994+
995+ 996+ 997+ 998+ 999+ 1000+ 1001+ 1002+ 1003+ 1004+ 1005+ 1006+ 1007+
1008+ 1009+ 1010+ 1011+ 1012+ 1013+ 1014+ 1015+ 1016+ 1017+ 1018+ 1019+
1020+ 1021+ 1022+ 1023+ 1024+ 1025+ 1026+ 1027+ 1028+ 1029+ 1030+ 1031+
1032+ 1033+ 1034+ 1035+ 1036+ 1037+ 1038+ 1039+ 1040+ 1041+ 1042+ 1043+
1044+ 1045+ 1046+ 1047+ 1048+ 1049+ 1050+ 1051+ 1052+ 1053+ 1054+ 1055+
1056+ 1057+ 1058+ 1059+ 1060+ 1061+ 1062+ 1063+ 1064+ 1065+ 1066+ 1067+
1068+ 1069+ 1070+ 1071+ 1072+ 1073+ 1074+ 1075+ 1076+ 1077+ 1078+ 1079+
1080+ 1081+ 1082+ 1083+ 1084+ 1085+ 1086+ 1087+ 1088+ 1089+ 1090+ 1091+
1092+ 1093+ 1094+ 1095+ 1096+ 1097+ 1098+ 1099+ 1100+ 1101+ 1102+ 1103+
1104+ 1105+ 1106+ 1107+ 1108+ 1109+ 1110+ 1111+ 1112+ 1113+ 1114+ 1115+
1116+ 1117+ 1118+ 1119+ 1120+ 1121+ 1122+ 1123+ 1124+ 1125+ 1126+ 1127+
1128+ 1129+ 1130+ 1131+ 1132+ 1133+ 1134+ 1135+ 1136+ 1137+ 1138+ 1139+
1140+ 1141+ 1142+ 1143+ 1144+ 1145+ 1146+ 1147+ 1148+ 1149+ 1150+ 1151+
1152+ 1153+ 1154+ 1155+ 1156+ 1157+ 1158+ 1159+ 1160+ 1161+ 1162+ 1163+
1164+ 1165+ 1166+ 1167+ 1168+ 1169+ 1170+ 1171+ 1172+ 1173+ 1174+ 1175+
1176+ 1177+ 1178+ 1179+ 1180+ 1181+ 1182+ 1183+ 1184+ 1185+ 1186+ 1187+
1188+ 1189+ 1190+ 1191+ 1192+ 1193+ 1194+ 1195+ 1196+ 1197+ 1198+ 1199+
1200+ 1201+ 1202+ 1203+ 1204+ 1205+ 1206+ 1207+ 1208+ 1209+ 1210+ 1211+
1212+ 1213+ 1214+ 1215+ 1216+ 1217+ 1218+ 1219+ 1220+ 1221+ 1222+ 1223+
1224+ 1225+ 1226+ 1227+ 1228+ 1229+ 1230+ 1231+ 1232+ 1233+ 1234+ 1235+
1236+ 1237+ 1238+ 1239+ 1240+ 1241+ 1242+ 1243+ 1244+ 1245+ 1246+ 1247+
1248+ 1249+ 1250+ 1251+ 1252+ 1253+ 1254+ 1255+ 1256+ 1257+ 1258+ 1259+
1260+ 1261+ 1262+ 1263+ 1264+ 1265+ 1266+ 1267+ 1268+ 1269+ 1270+ 1271+
1272+ 1273+ 1274+ 1275+ 1276+ 1277+ 1278+ 1279+ 1280+ 1281+ 1282+ 1283+
1284+ 1285+ 1286+ 1287+ 1288+ 1289+ 1290+ 1291+ 1292+ 1293+ 1294+ 1295+
1296+ 1297+ 1298+ 1299+ 1300+ 1301+ 1302+ 1303+ 1304+ 1305+ 1306+ 1307+
1308+ 1309+ 1310+ 1311+ 1312+ 1313+ 1314+ 1315+ 1316+ 1317+ 1318+ 1319+
1320+ 1321+ 1322+ 1323+ 1324+ 1325+ 1326+ 1327+ 1328+ 1329+ 1330+ 1331+
1332+ 1333+ 1334+ 1335+ 1336+ 1337+ 1338+ 1339+ 1340+ 1341+ 1342+ 1343+
1344+ 1345+ 1346+ 1347+ 1348+ 1349+ 1350+ 1351+ 1352+ 1353+ 1354+ 1355+
1356+ 1357+ 1358+ 1359+ 1360+ 1361+ 1362+ 1363+ 1364+ 1365+ 1366+ 1367+
1368+ 1369+ 1370+ 1371+ 1372+ 1373+ 1374+ 1375+ 1376+ 1377+ 1378+ 1379+
1380+ 1381+ 1382+ 1383+ 1384+ 1385+ 1386+ 1387+ 1388+ 1389+ 1390+ 1391+
1392+ 1393+ 1394+ 1395+ 1396+ 1397+ 1398+ 1399+ 1400+ 1401+ 1402+ 1403+
1404+ 1405+ 1406+ 1407+ 1408+ 1409+ 1410+ 1411+ 1412+ 1413+ 1414+ 1415+
1416+ 1417+ 1418+ 1419+ 1420+ 1421+ 1422+ 1423+ 1424+ 1425+ 1426+ 1427+
1428+ 1429+ 1430+ 1431+ 1432+ 1433+ 1434+ 1435+ 1436+ 1437+ 1438+ 1439+
1440+ 1441+ 1442+ 1443+ 1444+ 1445+ 1446+ 1447+ 1448+ 1449+ 1450+ 1451+
1452+ 1453+ 1454+ 1455+ 1456+ 1457+ 1458+ 1459+ 1460+ 1461+ 1462+ 1463+
1464+ 1465+ 1466+ 1467+ 1468+ 1469+ 1470+ 1471+ 1472+ 1473+ 1474+ 1475+
1476+ 1477+ 1478+ 1479+ 1480+ 1481+ 1482+ 1483+ 1484+ 1485+ 1486+ 1487+
1488+ 1489+ 1490+ 1491+ 1492+ 1493+ 1494+ 1495+ 1496+ 1497+ 1498+ 1499+
1500+ 1501+ 1502+ 1503+ 1504+ 1505+ 1506+ 1507+ 1508+ 1509+ 1510+ 1511+
1512+ 1513+ 1514+ 1515+ 1516+ 1517+ 1518+ 1519+ 1520+ 1521+ 1522+ 1523+
1524+ 1525+ 1526+ 1527+ 1528+ 1529+ 1530+ 1531+ 1532+ 1533+ 1534+ 1535+
1536+ 1537+ 1538+ 1539+ 1540+ 1541+ 1542+ 1543+ 1544+ 1545+ 1546+ 1547+
1548+ 1549+ 1550+ 1551+ 1552+ 1553+ 1554+ 1555+ 1556+ 1557+ 1558+ 1559+
1560+ 1561+ 1562+ 1563+ 1564+ 1565+ 1566+ 1567+ 1568+ 1569+ 1570+ 1571+
1572+ 1573+ 1574+ 1575+ 1576+ 1577+ 1578+ 1579+ 1580+ 1581+ 1582+ 1583+
1584+ 1585+ 1586+ 1587+ 1588+ 1589+ 1590+ 1591+ 1592+ 1593+ 1594+ 1595+
1596+ 1597+ 1598+ 1599+ 1600+ 1601+ 1602+ 1603+ 1604+ 1605+ 1606+ 1607+
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1620+ 1621+ 1622+ 1623+ 1624+ 1625+ 1626+ 1627+ 1628+ 1629+ 1630+ 1631+
1632+ 1633+ 1634+ 1635+ 1636+ 1637+ 1638+ 1639+ 1640+ 1641+ 1642+ 1643+
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1668+ 1669+ 1670+ 1671+ 1672+ 1673+ 1674+ 1675+ 1676+ 1677+ 1678+ 1679+
1680+ 1681+ 1682+ 1683+ 1684+ 1685+ 1686+ 1687+ 1688+ 1689+ 1690+ 1691+
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1716+ 1717+ 1718+ 1719+ 1720+ 1721+ 1722+ 1723+ 1724+ 1725+ 1726+ 1727+
1728+ 1729+ 1730+ 1731+ 1732+ 1733+ 1734+ 1735+ 1736+ 1737+ 1738+ 1739+
1740+ 1741+ 1742+ 1743+ 1744+ 1745+ 1746+ 1747+ 1748+ 1749+ 1750+ 1751+
1752+ 1753+ 1754+ 1755+ 1756+ 1757+ 1758+ 1759+ 1760+ 1761+ 1762+ 1763+
1764+ 1765+ 1766+ 1767+ 1768+ 1769+ 1770+ 1771+ 1772+ 1773+ 1774+ 1775+
1776+ 1777+ 1778+ 1779+ 1780+ 1781+ 1782+ 1783+ 1784+ 1785+ 1786+ 1787+
1788+ 1789+ 1790+ 1791+ 1792+ 1793+ 1794+ 1795+ 1796+ 1797+ 1798+ 1799+
1800+ 1801+ 1802+ 1803+ 1804+ 1805+ 1806+ 1807+ 1808+ 1809+ 1810+ 1811+
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9552+ 9553+ 9554+ 9555+ 9556+ 9557+ 9558+ 9559+ 9560+ 9561+ 9562+ 9563+
9564+ 9565+ 9566+ 9567+ 9568+ 9569+ 9570+ 9571+ 9572+ 9573+ 9574+ 9575+
9576+ 9577+ 9578+ 9579+ 9580+ 9581+ 9582+ 9583+ 9584+ 9585+ 9586+ 9587+
9588+ 9589+ 9590+ 9591+ 9592+ 9593+ 9594+ 9595+ 9596+ 9597+ 9598+ 9599+
9600+ 9601+ 9602+ 9603+ 9604+ 9605+ 9606+ 9607+ 9608+ 9609+ 9610+ 9611+
9612+ 9613+ 9614+ 9615+ 9616+ 9617+ 9618+ 9619+ 9620+ 9621+ 9622+ 9623+
9624+ 9625+ 9626+ 9627+ 9628+ 9629+ 9630+ 9631+ 9632+ 9633+ 9634+ 9635+
9636+ 9637+ 9638+ 9639+ 9640+ 9641+ 9642+ 9643+ 9644+ 9645+ 9646+ 9647+
9648+ 9649+ 9650+ 9651+ 9652+ 9653+ 9654+ 9655+ 9656+ 9657+ 9658+ 9659+
9660+ 9661+ 9662+ 9663+ 9664+ 9665+ 9666+ 9667+ 9668+ 9669+ 9670+ 9671+
9672+ 9673+ 9674+ 9675+ 9676+ 9677+ 9678+ 9679+ 9680+ 9681+ 9682+ 9683+
9684+ 9685+ 9686+ 9687+ 9688+ 9689+ 9690+ 9691+ 9692+ 9693+ 9694+ 9695+
9696+ 9697+ 9698+ 9699+ 9700+ 9701+ 9702+ 9703+ 9704+ 9705+ 9706+ 9707+
9708+ 9709+ 9710+ 9711+ 9712+ 9713+ 9714+ 9715+ 9716+ 9717+ 9718+ 9719+
9720+ 9721+ 9722+ 9723+ 9724+ 9725+ 9726+ 9727+ 9728+ 9729+ 9730+ 9731+
9732+ 9733+ 9734+ 9735+ 9736+ 9737+ 9738+ 9739+ 9740+ 9741+ 9742+ 9743+
9744+ 9745+ 9746+ 9747+ 9748+ 9749+ 9750+ 9751+ 9752+ 9753+ 9754+ 9755+
9756+ 9757+ 9758+ 9759+ 9760+ 9761+ 9762+ 9763+ 9764+ 9765+ 9766+ 9767+
9768+ 9769+ 9770+ 9771+ 9772+ 9773+ 9774+ 9775+ 9776+ 9777+ 9778+ 9779+
9780+ 9781+ 9782+ 9783+ 9784+ 9785+ 9786+ 9787+ 9788+ 9789+ 9790+ 9791+
9792+ 9793+ 9794+ 9795+ 9796+ 9797+ 9798+ 9799+ 9800+ 9801+ 9802+ 9803+
9804+ 9805+ 9806+ 9807+ 9808+ 9809+ 9810+ 9811+ 9812+ 9813+ 9814+ 9815+
9816+ 9817+ 9818+ 9819+ 9820+ 9821+ 9822+ 9823+ 9824+ 9825+ 9826+ 9827+
9828+ 9829+ 9830+ 9831+ 9832+ 9833+ 9834+ 9835+ 9836+ 9837+ 9838+ 9839+
9840+ 9841+ 9842+ 9843+ 9844+ 9845+ 9846+ 9847+ 9848+ 9849+ 9850+ 9851+
9852+ 9853+ 9854+ 9855+ 9856+ 9857+ 9858+ 9859+ 9860+ 9861+ 9862+ 9863+
9864+ 9865+ 9866+ 9867+ 9868+ 9869+ 9870+ 9871+ 9872+ 9873+ 9874+ 9875+
9876+ 9877+ 9878+ 9879+ 9880+ 9881+ 9882+ 9883+ 9884+ 9885+ 9886+ 9887+
9888+ 9889+ 9890+ 9891+ 9892+ 9893+ 9894+ 9895+ 9896+ 9897+ 9898+ 9899+
9900+ 9901+ 9902+ 9903+ 9904+ 9905+ 9906+ 9907+ 9908+ 9909+ 9910+ 9911+
9912+ 9913+ 9914+ 9915+ 9916+ 9917+ 9918+ 9919+ 9920+ 9921+ 9922+ 9923+
9924+ 9925+ 9926+ 9927+ 9928+ 9929+ 9930+ 9931+ 9932+ 9933+ 9934+ 9935+
9936+ 9937+ 9938+ 9939+ 9940+ 9941+ 9942+ 9943+ 9944+ 9945+ 9946+ 9947+
9948+ 9949+ 9950+ 9951+ 9952+ 9953+ 9954+ 9955+ 9956+ 9957+ 9958+ 9959+
9960+ 9961+ 9962+ 9963+ 9964+ 9965+ 9966+ 9967+ 9968+ 9969+ 9970+ 9971+
9972+ 9973+ 9974+ 9975+ 9976+ 9977+ 9978+ 9979+ 9980+ 9981+ 9982+ 9983+
9984+ 9985+ 9986+ 9987+ 9988+ 9989+ 9990+ 9991+ 9992+ 9993+ 9994+ 9995+
9996+ 9997+ 9998+ 9999+ 10000;

return sum;

}

"William Ryan" <do********@com cast.nospam.net > wrote in message
news:%2******** *******@TK2MSFT NGP09.phx.gbl.. .

I just did it going with 200 Hard coded ints, then 390, then 300. Each time

I got the correct results. Are you positive of the input numbers? I know

that's a stupid question, but I first did each one by loading them into an Int Array and adding them like that. It worked. Then I actually used
straight hard coding, and I used the number 10 each time and added 100000 to

the last one for good measure (just to make sure the value I had was
similarly high). No problems whatsoever. Inasmuch as you can load

those values in an array and iterate it successfully, couldn't you just load the array and use an iterative approach? I understand that's what you are
asking about...why should you have to do this, but it's probably easier

than

verifying the math each time when you know it will work. If I can find
anything, I'll repost.

HTH,

Bill
"Mountain Bikn' Guy" <[e-mail] > wrote in message
news:NZUjb.7959 42$YN5.793228@s ccrnsc01...

Take some standard code such as shown below. It simply loops to add up a series of terms and it produces the correct result.

// sum numbers with a loop
public int DoSumLooping(in t iterations)
{
int result = 0;
for(int i = 1;i <=iterations;i+ +)
{
result += i;
}
return result;
}

Now translate this into a specific solution that doesn't use looping (and use the same value for the number of iterations the loop performs). This code returns an incorrect result. The method consists entirely of a very straightforward code statement, but in this case .NET adds the numbers
incorrectly.
public double ComputeSum( )
{
// Brute force sum method
// For iterations == 10000
double sum = 0+ 1+ 2+ 3+ 4+ 5+ 6+ 7+ 8+ 9+ 10+ 11+ 12+ 13+ 14+ 15+ ...

+ 9997+ 9998+ 9999+ 10000;
return sum;
}
The above method returns an incorrect result with any number of terms

above

about 200. It will correctly add 1 + 2 + ... + 200, but it will NOT
correctly add 1 + 2 + ... + 1000.

I have just run across this, and I have not yet researched the

possible reasons for this behavior. It may be a known issue related to either

stack size or the length of a code line, but to my knowledge it hasn't been
discussed in any of the "popular" literature on C# and .NET. I need to

write

code like this, so if anyone has already encountered this issue, please advise me.
Here's another example that also creates problems, but of a somewhat
different nature. Take the following code and translate it into a

specific,

non-looping method and try to execute it using reflection. It fails.

public double LoopToCompute()
{
double sumOfProducts = 0;
double grandTotal = 0;
for (int i = 0; i < maxRows; ++i)
{
for (int j = 0; j < maxCols; ++j)
{
sumOfProducts += coeff[j] * table[i][j];
}
a_point[i] = sumOfProducts;
grandTotal += sumOfProducts;
sumOfProducts = 0;
}
return grandTotal;
}//LoopToCompute

The above code works -- but it's equivalent code with loops unrolled

(shown

below) doesn't work unless the maxRows is set very small. For small

values,

the 2 methods (above and below) produce identical results. There is

nothing

"wrong" with the code in that sense. It's similar to the above situation.

If

the "size" of the code statement or the number of code statements is too large, .NET fails. In this case (using reflection) it doesn't return the incorrect result, as the first example did. In this case, reflection

calls it an invalid program and refuses to run it (but only when the value of maxRows is above about 250). The reason for this is probably
straightforward . However, I have the need to make statements like this for performance reasons so I need a work-around. Any suggestions are
appreciated! All comments are appreciated.

public double DoBruteForceCom pute()
{
double bruteForceSum = 0;

point1=coeff1*t able[0][0] +coeff2*table[0][1] +coeff3*table[0][2]
+coeff4*table[0][3] +coeff5*table[0][4] +coeff6*table[0][5]
+coeff7*table[0][6] +coeff8*table[0][7] +coeff9*table[0][8]
+coeff10*table[0][9] +coeff11*table[0][10] +coeff12*table[0][11]
+coeff13*table[0][12] +coeff14*table[0][13] +coeff15*table[0][14]
+coeff16*table[0][15] +coeff17*table[0][16] +coeff18*table[0][17]
+coeff19*table[0][18] +coeff20*table[0][19] +coeff21*table[0][20]
+coeff22*table[0][21] +coeff23*table[0][22] +coeff24*table[0][23]
+coeff25*table[0][24] +coeff26*table[0][25] +coeff27*table[0][26]
+coeff28*table[0][27] +coeff29*table[0][28] +coeff30*table[0][29]
+coeff31*table[0][30] +coeff32*table[0][31] +coeff33*table[0][32]
+coeff34*table[0][33] +coeff35*table[0][34] ;

point2=coeff1*t able[1][0] +coeff2*table[1][1] +coeff3*table[1][2]
+coeff4*table[1][3] +coeff5*table[1][4] +coeff6*table[1][5]
+coeff7*table[1][6] +coeff8*table[1][7] +coeff9*table[1][8]
+coeff10*table[1][9] +coeff11*table[1][10] +coeff12*table[1][11]
+coeff13*table[1][12] +coeff14*table[1][13] +coeff15*table[1][14]
+coeff16*table[1][15] +coeff17*table[1][16] +coeff18*table[1][17]
+coeff19*table[1][18] +coeff20*table[1][19] +coeff21*table[1][20]
+coeff22*table[1][21] +coeff23*table[1][22] +coeff24*table[1][23]
+coeff25*table[1][24] +coeff26*table[1][25] +coeff27*table[1][26]
+coeff28*table[1][27] +coeff29*table[1][28] +coeff30*table[1][29]
+coeff31*table[1][30] +coeff32*table[1][31] +coeff33*table[1][32]
+coeff34*table[1][33] +coeff35*table[1][34] ;
[...]

point500=coeff1 *table[499][0] +coeff2*table[499][1] +coeff3*table[499][2] +coeff4*table[499][3] +coeff5*table[499][4] +coeff6*table[499][5]
+coeff7*table[499][6] +coeff8*table[499][7] +coeff9*table[499][8]
+coeff10*table[499][9] +coeff11*table[499][10] +coeff12*table[499][11]
+coeff13*table[499][12] +coeff14*table[499][13] +coeff15*table[499][14] +coeff16*table[499][15] +coeff17*table[499][16] +coeff18*table[499][17] +coeff19*table[499][18] +coeff20*table[499][19] +coeff21*table[499][20] +coeff22*table[499][21] +coeff23*table[499][22] +coeff24*table[499][23] +coeff25*table[499][24] +coeff26*table[499][25] +coeff27*table[499][26] +coeff28*table[499][27] +coeff29*table[499][28] +coeff30*table[499][29] +coeff31*table[499][30] +coeff32*table[499][31] +coeff33*table[499][32] +coeff34*table[499][33] +coeff35*table[499][34] ;

bruteForceSum =
point1 +
point2 + ... +

point499 +
point500
;

return bruteForceSum;

}//DoBruteForceCom pute

[Mountain Bikn' Guy]

Funny. Now, can we get back to the issue? This is fundamentally about
reflection emit and specific, optimized solutions to any problem.
Dave

"Jhon" <Jh**@a.a> wrote in message
news:Iv******** *************@p hobos.telenet-ops.be...

Hi,

Maybe not the issue, tough it unwinds the loop, the sum of the first n
consecutive numbers:

(n+1)*n
= ---------
2

Greetings
"Mountain Bikn' Guy" <[e-mail] > wrote in message
news:NZUjb.7959 42$YN5.793228@s ccrnsc01...

Take some standard code such as shown below. It simply loops to add up a
series of terms and it produces the correct result.

// sum numbers with a loop
public int DoSumLooping(in t iterations)
{
int result = 0;
for(int i = 1;i <=iterations;i+ +)
{
result += i;
}
return result;
}

Now translate this into a specific solution that doesn't use looping (and use the same value for the number of iterations the loop performs). This
code returns an incorrect result. The method consists entirely of a very
straightforward code statement, but in this case .NET adds the numbers
incorrectly.
public double ComputeSum( )
{
// Brute force sum method
// For iterations == 10000
double sum = 0+ 1+ 2+ 3+ 4+ 5+ 6+ 7+ 8+ 9+ 10+ 11+ 12+ 13+ 14+ 15+ ...

+ 9997+ 9998+ 9999+ 10000;
return sum;
}
The above method returns an incorrect result with any number of terms

above

about 200. It will correctly add 1 + 2 + ... + 200, but it will NOT
correctly add 1 + 2 + ... + 1000.

I have just run across this, and I have not yet researched the possible
reasons for this behavior. It may be a known issue related to either stack size or the length of a code line, but to my knowledge it hasn't been
discussed in any of the "popular" literature on C# and .NET. I need to

write

code like this, so if anyone has already encountered this issue, please
advise me.
Here's another example that also creates problems, but of a somewhat
different nature. Take the following code and translate it into a

specific,

non-looping method and try to execute it using reflection. It fails.

public double LoopToCompute()
{
double sumOfProducts = 0;
double grandTotal = 0;
for (int i = 0; i < maxRows; ++i)
{
for (int j = 0; j < maxCols; ++j)
{
sumOfProducts += coeff[j] * table[i][j];
}
a_point[i] = sumOfProducts;
grandTotal += sumOfProducts;
sumOfProducts = 0;
}
return grandTotal;
}//LoopToCompute

The above code works -- but it's equivalent code with loops unrolled

(shown

below) doesn't work unless the maxRows is set very small. For small

values,

the 2 methods (above and below) produce identical results. There is

nothing

"wrong" with the code in that sense. It's similar to the above situation. If

the "size" of the code statement or the number of code statements is too
large, .NET fails. In this case (using reflection) it doesn't return the
incorrect result, as the first example did. In this case, reflection

calls it an invalid program and refuses to run it (but only when the value of
maxRows is above about 250). The reason for this is probably
straightforward . However, I have the need to make statements like this for performance reasons so I need a work-around. Any suggestions are
appreciated! All comments are appreciated.

public double DoBruteForceCom pute()
{
double bruteForceSum = 0;

point1=coeff1*t able[0][0] +coeff2*table[0][1] +coeff3*table[0][2]
+coeff4*table[0][3] +coeff5*table[0][4] +coeff6*table[0][5]
+coeff7*table[0][6] +coeff8*table[0][7] +coeff9*table[0][8]
+coeff10*table[0][9] +coeff11*table[0][10] +coeff12*table[0][11]
+coeff13*table[0][12] +coeff14*table[0][13] +coeff15*table[0][14]
+coeff16*table[0][15] +coeff17*table[0][16] +coeff18*table[0][17]
+coeff19*table[0][18] +coeff20*table[0][19] +coeff21*table[0][20]
+coeff22*table[0][21] +coeff23*table[0][22] +coeff24*table[0][23]
+coeff25*table[0][24] +coeff26*table[0][25] +coeff27*table[0][26]
+coeff28*table[0][27] +coeff29*table[0][28] +coeff30*table[0][29]
+coeff31*table[0][30] +coeff32*table[0][31] +coeff33*table[0][32]
+coeff34*table[0][33] +coeff35*table[0][34] ;

point2=coeff1*t able[1][0] +coeff2*table[1][1] +coeff3*table[1][2]
+coeff4*table[1][3] +coeff5*table[1][4] +coeff6*table[1][5]
+coeff7*table[1][6] +coeff8*table[1][7] +coeff9*table[1][8]
+coeff10*table[1][9] +coeff11*table[1][10] +coeff12*table[1][11]
+coeff13*table[1][12] +coeff14*table[1][13] +coeff15*table[1][14]
+coeff16*table[1][15] +coeff17*table[1][16] +coeff18*table[1][17]
+coeff19*table[1][18] +coeff20*table[1][19] +coeff21*table[1][20]
+coeff22*table[1][21] +coeff23*table[1][22] +coeff24*table[1][23]
+coeff25*table[1][24] +coeff26*table[1][25] +coeff27*table[1][26]
+coeff28*table[1][27] +coeff29*table[1][28] +coeff30*table[1][29]
+coeff31*table[1][30] +coeff32*table[1][31] +coeff33*table[1][32]
+coeff34*table[1][33] +coeff35*table[1][34] ;
[...]

point500=coeff1 *table[499][0] +coeff2*table[499][1] +coeff3*table[499][2] +coeff4*table[499][3] +coeff5*table[499][4] +coeff6*table[499][5]
+coeff7*table[499][6] +coeff8*table[499][7] +coeff9*table[499][8]
+coeff10*table[499][9] +coeff11*table[499][10] +coeff12*table[499][11]
+coeff13*table[499][12] +coeff14*table[499][13] +coeff15*table[499][14]
+coeff16*table[499][15] +coeff17*table[499][16] +coeff18*table[499][17]
+coeff19*table[499][18] +coeff20*table[499][19] +coeff21*table[499][20]
+coeff22*table[499][21] +coeff23*table[499][22] +coeff24*table[499][23]
+coeff25*table[499][24] +coeff26*table[499][25] +coeff27*table[499][26]
+coeff28*table[499][27] +coeff29*table[499][28] +coeff30*table[499][29]
+coeff31*table[499][30] +coeff32*table[499][31] +coeff33*table[499][32]
+coeff34*table[499][33] +coeff35*table[499][34] ;

bruteForceSum =
point1 +
point2 + ... +

point499 +
point500
;

return bruteForceSum;

}//DoBruteForceCom pute