\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 r153841 = c0;
double r153842 = 2.0;
double r153843 = w;
double r153844 = r153842 * r153843;
double r153845 = r153841 / r153844;
double r153846 = d;
double r153847 = r153846 * r153846;
double r153848 = r153841 * r153847;
double r153849 = h;
double r153850 = r153843 * r153849;
double r153851 = D;
double r153852 = r153851 * r153851;
double r153853 = r153850 * r153852;
double r153854 = r153848 / r153853;
double r153855 = r153854 * r153854;
double r153856 = M;
double r153857 = r153856 * r153856;
double r153858 = r153855 - r153857;
double r153859 = sqrt(r153858);
double r153860 = r153854 + r153859;
double r153861 = r153845 * r153860;
return r153861;
}
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 r153862 = 0.0;
double r153863 = r153862 * r153862;
return r153863;
}



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 add-cube-cbrt35.2
Simplified35.2
Simplified33.6
Final simplification33.6
herbie shell --seed 2020047 +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))))))