\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 r188929 = c0;
double r188930 = 2.0;
double r188931 = w;
double r188932 = r188930 * r188931;
double r188933 = r188929 / r188932;
double r188934 = d;
double r188935 = r188934 * r188934;
double r188936 = r188929 * r188935;
double r188937 = h;
double r188938 = r188931 * r188937;
double r188939 = D;
double r188940 = r188939 * r188939;
double r188941 = r188938 * r188940;
double r188942 = r188936 / r188941;
double r188943 = r188942 * r188942;
double r188944 = M;
double r188945 = r188944 * r188944;
double r188946 = r188943 - r188945;
double r188947 = sqrt(r188946);
double r188948 = r188942 + r188947;
double r188949 = r188933 * r188948;
return r188949;
}
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 r188950 = 0.0;
return r188950;
}



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 59.1
Taylor expanded around inf 35.1
rmApplied *-un-lft-identity35.1
Applied associate-*l*35.1
Simplified33.2
Final simplification33.2
herbie shell --seed 2020001 +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))))))