\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 r195305 = c0;
double r195306 = 2.0;
double r195307 = w;
double r195308 = r195306 * r195307;
double r195309 = r195305 / r195308;
double r195310 = d;
double r195311 = r195310 * r195310;
double r195312 = r195305 * r195311;
double r195313 = h;
double r195314 = r195307 * r195313;
double r195315 = D;
double r195316 = r195315 * r195315;
double r195317 = r195314 * r195316;
double r195318 = r195312 / r195317;
double r195319 = r195318 * r195318;
double r195320 = M;
double r195321 = r195320 * r195320;
double r195322 = r195319 - r195321;
double r195323 = sqrt(r195322);
double r195324 = r195318 + r195323;
double r195325 = r195309 * r195324;
return r195325;
}
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 r195326 = 0.0;
return r195326;
}



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 35.7
rmApplied pow135.7
Applied pow135.7
Applied pow-prod-down35.7
Simplified33.8
Final simplification33.8
herbie shell --seed 2019356 +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))))))