\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 \cdot 0
double f(double c0, double w, double h, double D, double d, double M) {
double r189493 = c0;
double r189494 = 2.0;
double r189495 = w;
double r189496 = r189494 * r189495;
double r189497 = r189493 / r189496;
double r189498 = d;
double r189499 = r189498 * r189498;
double r189500 = r189493 * r189499;
double r189501 = h;
double r189502 = r189495 * r189501;
double r189503 = D;
double r189504 = r189503 * r189503;
double r189505 = r189502 * r189504;
double r189506 = r189500 / r189505;
double r189507 = r189506 * r189506;
double r189508 = M;
double r189509 = r189508 * r189508;
double r189510 = r189507 - r189509;
double r189511 = sqrt(r189510);
double r189512 = r189506 + r189511;
double r189513 = r189497 * r189512;
return r189513;
}
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 r189514 = 0.0;
double r189515 = r189514 * r189514;
return r189515;
}



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 59.5
Taylor expanded around inf 35.3
rmApplied add-cube-cbrt35.3
Simplified35.3
Simplified33.4
Final simplification33.4
herbie shell --seed 2020043
(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))))))