\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 r96571 = c0;
double r96572 = 2.0;
double r96573 = w;
double r96574 = r96572 * r96573;
double r96575 = r96571 / r96574;
double r96576 = d;
double r96577 = r96576 * r96576;
double r96578 = r96571 * r96577;
double r96579 = h;
double r96580 = r96573 * r96579;
double r96581 = D;
double r96582 = r96581 * r96581;
double r96583 = r96580 * r96582;
double r96584 = r96578 / r96583;
double r96585 = r96584 * r96584;
double r96586 = M;
double r96587 = r96586 * r96586;
double r96588 = r96585 - r96587;
double r96589 = sqrt(r96588);
double r96590 = r96584 + r96589;
double r96591 = r96575 * r96590;
return r96591;
}
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 r96592 = 0.0;
return r96592;
}



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 58.6
Taylor expanded around inf 35.7
rmApplied add-cube-cbrt35.7
Simplified35.7
Simplified33.9
Final simplification33.9
herbie shell --seed 2019308
(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))))))