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Home/ Questions/Q 6009265
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Editorial Team
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Editorial Team
Asked: May 23, 20262026-05-23T01:56:45+00:00 2026-05-23T01:56:45+00:00

It seems that cmath for visual studio 2005 does not have erf(x). I am

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It seems that cmath for visual studio 2005 does not have erf(x). I am using NIST Statistical Test Suite for Random and Pseudorandom Number Generators. In cephes.c’s method, double cephes_normal(double x), it uses a C99 math function erf(x) which I don’t believe is supported by visual studio 2005.

How can I overcome this problem? I saw a C++ solution here:
http://social.msdn.microsoft.com/Forums/en-US/vcgeneral/thread/9f5f4bf4-c0ae-4620-8039-4dc36e98d718/

Someone used the boost C++ math library. But I don’t think I can include a c++ header into a C source file.

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-05-23T01:56:45+00:00Added an answer on May 23, 2026 at 1:56 am

    Some Googling found this C++ implementation (reposted here):

    erf code:

    #include <cmath>
    
    double erf(double x)
    {
        // constants
        double a1 =  0.254829592;
        double a2 = -0.284496736;
        double a3 =  1.421413741;
        double a4 = -1.453152027;
        double a5 =  1.061405429;
        double p  =  0.3275911;
    
        // Save the sign of x
        int sign = 1;
        if (x < 0)
            sign = -1;
        x = fabs(x);
    
        // A&S formula 7.1.26
        double t = 1.0/(1.0 + p*x);
        double y = 1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x);
    
        return sign*y;
    }
    

    Test function

    void testErf()
    {
        // Select a few input values
        double x[] = 
        {
            -3, 
            -1, 
            0.0, 
            0.5, 
            2.1 
        };
    
        // Output computed by Mathematica
        // y = Erf[x]
        double y[] = 
        { 
            -0.999977909503, 
            -0.842700792950, 
            0.0, 
            0.520499877813, 
            0.997020533344 
        };
    
        int numTests = sizeof(x)/sizeof(double);
    
        double maxError = 0.0;
        for (int i = 0; i < numTests; ++i)
        {
            double error = fabs(y[i] - erf(x[i]));
            if (error > maxError)
                maxError = error;
        }
    
        std::cout << "Maximum error: " << maxError << "\n";
    }   
    
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