\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 r148076 = c0;
double r148077 = 2.0;
double r148078 = w;
double r148079 = r148077 * r148078;
double r148080 = r148076 / r148079;
double r148081 = d;
double r148082 = r148081 * r148081;
double r148083 = r148076 * r148082;
double r148084 = h;
double r148085 = r148078 * r148084;
double r148086 = D;
double r148087 = r148086 * r148086;
double r148088 = r148085 * r148087;
double r148089 = r148083 / r148088;
double r148090 = r148089 * r148089;
double r148091 = M;
double r148092 = r148091 * r148091;
double r148093 = r148090 - r148092;
double r148094 = sqrt(r148093);
double r148095 = r148089 + r148094;
double r148096 = r148080 * r148095;
return r148096;
}
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 r148097 = 0.0;
return r148097;
}



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 +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))))))