\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 r178292 = c0;
double r178293 = 2.0;
double r178294 = w;
double r178295 = r178293 * r178294;
double r178296 = r178292 / r178295;
double r178297 = d;
double r178298 = r178297 * r178297;
double r178299 = r178292 * r178298;
double r178300 = h;
double r178301 = r178294 * r178300;
double r178302 = D;
double r178303 = r178302 * r178302;
double r178304 = r178301 * r178303;
double r178305 = r178299 / r178304;
double r178306 = r178305 * r178305;
double r178307 = M;
double r178308 = r178307 * r178307;
double r178309 = r178306 - r178308;
double r178310 = sqrt(r178309);
double r178311 = r178305 + r178310;
double r178312 = r178296 * r178311;
return r178312;
}
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 r178313 = 0.0;
return r178313;
}



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 59.2
Taylor expanded around inf 35.0
rmApplied add-cube-cbrt35.0
Applied associate-*r*35.0
Simplified33.2
Final simplification33.2
herbie shell --seed 2019198 +o rules:numerics
(FPCore (c0 w h D d M)
:name "Henrywood and Agarwal, Equation (13)"
(* (/ c0 (* 2.0 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))))))