\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 r116053 = c0;
double r116054 = 2.0;
double r116055 = w;
double r116056 = r116054 * r116055;
double r116057 = r116053 / r116056;
double r116058 = d;
double r116059 = r116058 * r116058;
double r116060 = r116053 * r116059;
double r116061 = h;
double r116062 = r116055 * r116061;
double r116063 = D;
double r116064 = r116063 * r116063;
double r116065 = r116062 * r116064;
double r116066 = r116060 / r116065;
double r116067 = r116066 * r116066;
double r116068 = M;
double r116069 = r116068 * r116068;
double r116070 = r116067 - r116069;
double r116071 = sqrt(r116070);
double r116072 = r116066 + r116071;
double r116073 = r116057 * r116072;
return r116073;
}
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 r116074 = 0.0;
return r116074;
}



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 59.3
Taylor expanded around inf 35.7
rmApplied add-sqr-sqrt35.7
Applied associate-*r*35.7
Simplified33.9
Final simplification33.9
herbie shell --seed 2019325
(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))))))