\frac{c0}{2 \cdot w} \cdot \left(\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} + \sqrt{\frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} \cdot \frac{c0 \cdot \left(d \cdot d\right)}{\left(w \cdot h\right) \cdot \left(D \cdot D\right)} - M \cdot M}\right)0 \cdot 0
double f(double c0, double w, double h, double D, double d, double M) {
double r310847 = c0;
double r310848 = 2.0;
double r310849 = w;
double r310850 = r310848 * r310849;
double r310851 = r310847 / r310850;
double r310852 = d;
double r310853 = r310852 * r310852;
double r310854 = r310847 * r310853;
double r310855 = h;
double r310856 = r310849 * r310855;
double r310857 = D;
double r310858 = r310857 * r310857;
double r310859 = r310856 * r310858;
double r310860 = r310854 / r310859;
double r310861 = r310860 * r310860;
double r310862 = M;
double r310863 = r310862 * r310862;
double r310864 = r310861 - r310863;
double r310865 = sqrt(r310864);
double r310866 = r310860 + r310865;
double r310867 = r310851 * r310866;
return r310867;
}
double f(double __attribute__((unused)) c0, double __attribute__((unused)) w, double __attribute__((unused)) h, double __attribute__((unused)) D, double __attribute__((unused)) d, double __attribute__((unused)) M) {
double r310868 = 0.0;
double r310869 = r310868 * r310868;
return r310869;
}



Bits error versus c0



Bits error versus w



Bits error versus h



Bits error versus D



Bits error versus d



Bits error versus M
Results
Initial program 59.8
Taylor expanded around inf 35.2
rmApplied add-cube-cbrt35.2
Simplified35.2
Simplified33.3
Final simplification33.3
herbie shell --seed 2020045
(FPCore (c0 w h D d M)
:name "Henrywood and Agarwal, Equation (13)"
:precision binary64
(* (/ c0 (* 2 w)) (+ (/ (* c0 (* d d)) (* (* w h) (* D D))) (sqrt (- (* (/ (* c0 (* d d)) (* (* w h) (* D D))) (/ (* c0 (* d d)) (* (* w h) (* D D)))) (* M M))))))