\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)\frac{0}{2 \cdot w}double f(double c0, double w, double h, double D, double d, double M) {
double r142435 = c0;
double r142436 = 2.0;
double r142437 = w;
double r142438 = r142436 * r142437;
double r142439 = r142435 / r142438;
double r142440 = d;
double r142441 = r142440 * r142440;
double r142442 = r142435 * r142441;
double r142443 = h;
double r142444 = r142437 * r142443;
double r142445 = D;
double r142446 = r142445 * r142445;
double r142447 = r142444 * r142446;
double r142448 = r142442 / r142447;
double r142449 = r142448 * r142448;
double r142450 = M;
double r142451 = r142450 * r142450;
double r142452 = r142449 - r142451;
double r142453 = sqrt(r142452);
double r142454 = r142448 + r142453;
double r142455 = r142439 * r142454;
return r142455;
}
double f(double __attribute__((unused)) c0, double w, double __attribute__((unused)) h, double __attribute__((unused)) D, double __attribute__((unused)) d, double __attribute__((unused)) M) {
double r142456 = 0.0;
double r142457 = 2.0;
double r142458 = w;
double r142459 = r142457 * r142458;
double r142460 = r142456 / r142459;
return r142460;
}



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 associate-*l/33.2
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))))))