\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 r90536 = c0;
double r90537 = 2.0;
double r90538 = w;
double r90539 = r90537 * r90538;
double r90540 = r90536 / r90539;
double r90541 = d;
double r90542 = r90541 * r90541;
double r90543 = r90536 * r90542;
double r90544 = h;
double r90545 = r90538 * r90544;
double r90546 = D;
double r90547 = r90546 * r90546;
double r90548 = r90545 * r90547;
double r90549 = r90543 / r90548;
double r90550 = r90549 * r90549;
double r90551 = M;
double r90552 = r90551 * r90551;
double r90553 = r90550 - r90552;
double r90554 = sqrt(r90553);
double r90555 = r90549 + r90554;
double r90556 = r90540 * r90555;
return r90556;
}
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 r90557 = 0.0;
return r90557;
}



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))))))