\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
double f(double c0, double w, double h, double D, double d, double M) {
double r187600 = c0;
double r187601 = 2.0;
double r187602 = w;
double r187603 = r187601 * r187602;
double r187604 = r187600 / r187603;
double r187605 = d;
double r187606 = r187605 * r187605;
double r187607 = r187600 * r187606;
double r187608 = h;
double r187609 = r187602 * r187608;
double r187610 = D;
double r187611 = r187610 * r187610;
double r187612 = r187609 * r187611;
double r187613 = r187607 / r187612;
double r187614 = r187613 * r187613;
double r187615 = M;
double r187616 = r187615 * r187615;
double r187617 = r187614 - r187616;
double r187618 = sqrt(r187617);
double r187619 = r187613 + r187618;
double r187620 = r187604 * r187619;
return r187620;
}
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 r187621 = 0.0;
return r187621;
}



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 59.5
Taylor expanded around inf 35.7
rmApplied add-cube-cbrt35.7
Simplified35.7
Simplified34.3
Final simplification34.3
herbie shell --seed 2019318
(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))))))