\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)\frac{0}{2 \cdot w}double f(double c0, double w, double h, double D, double d, double M) {
double r139753 = c0;
double r139754 = 2.0;
double r139755 = w;
double r139756 = r139754 * r139755;
double r139757 = r139753 / r139756;
double r139758 = d;
double r139759 = r139758 * r139758;
double r139760 = r139753 * r139759;
double r139761 = h;
double r139762 = r139755 * r139761;
double r139763 = D;
double r139764 = r139763 * r139763;
double r139765 = r139762 * r139764;
double r139766 = r139760 / r139765;
double r139767 = r139766 * r139766;
double r139768 = M;
double r139769 = r139768 * r139768;
double r139770 = r139767 - r139769;
double r139771 = sqrt(r139770);
double r139772 = r139766 + r139771;
double r139773 = r139757 * r139772;
return r139773;
}
double f(double __attribute__((unused)) c0, double w, double __attribute__((unused)) h, double __attribute__((unused)) D, double __attribute__((unused)) d, double __attribute__((unused)) M) {
double r139774 = 0.0;
double r139775 = 2.0;
double r139776 = w;
double r139777 = r139775 * r139776;
double r139778 = r139774 / r139777;
return r139778;
}



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 59.2
Taylor expanded around inf 35.2
rmApplied associate-*l/33.5
Simplified33.5
Final simplification33.5
herbie shell --seed 2020046
(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))))))