\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 \sqrt[3]{0}double f(double c0, double w, double h, double D, double d, double M) {
double r183608 = c0;
double r183609 = 2.0;
double r183610 = w;
double r183611 = r183609 * r183610;
double r183612 = r183608 / r183611;
double r183613 = d;
double r183614 = r183613 * r183613;
double r183615 = r183608 * r183614;
double r183616 = h;
double r183617 = r183610 * r183616;
double r183618 = D;
double r183619 = r183618 * r183618;
double r183620 = r183617 * r183619;
double r183621 = r183615 / r183620;
double r183622 = r183621 * r183621;
double r183623 = M;
double r183624 = r183623 * r183623;
double r183625 = r183622 - r183624;
double r183626 = sqrt(r183625);
double r183627 = r183621 + r183626;
double r183628 = r183612 * r183627;
return r183628;
}
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 r183629 = 0.0;
double r183630 = cbrt(r183629);
double r183631 = r183629 * r183630;
return r183631;
}



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 59.1
Taylor expanded around inf 35.9
rmApplied add-cube-cbrt35.9
Applied associate-*r*35.9
Simplified33.9
Final simplification33.9
herbie shell --seed 2019353 +o rules:numerics
(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))))))