\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 r4361679 = c0;
double r4361680 = 2.0;
double r4361681 = w;
double r4361682 = r4361680 * r4361681;
double r4361683 = r4361679 / r4361682;
double r4361684 = d;
double r4361685 = r4361684 * r4361684;
double r4361686 = r4361679 * r4361685;
double r4361687 = h;
double r4361688 = r4361681 * r4361687;
double r4361689 = D;
double r4361690 = r4361689 * r4361689;
double r4361691 = r4361688 * r4361690;
double r4361692 = r4361686 / r4361691;
double r4361693 = r4361692 * r4361692;
double r4361694 = M;
double r4361695 = r4361694 * r4361694;
double r4361696 = r4361693 - r4361695;
double r4361697 = sqrt(r4361696);
double r4361698 = r4361692 + r4361697;
double r4361699 = r4361683 * r4361698;
return r4361699;
}
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 r4361700 = 0.0;
return r4361700;
}



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 58.1
Simplified51.3
Taylor expanded around -inf 33.7
Final simplification33.7
herbie shell --seed 2019130 +o rules:numerics
(FPCore (c0 w h D d M)
:name "Henrywood and Agarwal, Equation (13)"
(* (/ 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))))))