\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 r91509 = c0;
double r91510 = 2.0;
double r91511 = w;
double r91512 = r91510 * r91511;
double r91513 = r91509 / r91512;
double r91514 = d;
double r91515 = r91514 * r91514;
double r91516 = r91509 * r91515;
double r91517 = h;
double r91518 = r91511 * r91517;
double r91519 = D;
double r91520 = r91519 * r91519;
double r91521 = r91518 * r91520;
double r91522 = r91516 / r91521;
double r91523 = r91522 * r91522;
double r91524 = M;
double r91525 = r91524 * r91524;
double r91526 = r91523 - r91525;
double r91527 = sqrt(r91526);
double r91528 = r91522 + r91527;
double r91529 = r91513 * r91528;
return r91529;
}
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 r91530 = 0.0;
return r91530;
}



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 59.3
Taylor expanded around inf 35.4
rmApplied add-cube-cbrt35.4
Simplified35.4
Simplified33.4
Final simplification33.4
herbie shell --seed 2019303
(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))))))