\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 r153994 = c0;
double r153995 = 2.0;
double r153996 = w;
double r153997 = r153995 * r153996;
double r153998 = r153994 / r153997;
double r153999 = d;
double r154000 = r153999 * r153999;
double r154001 = r153994 * r154000;
double r154002 = h;
double r154003 = r153996 * r154002;
double r154004 = D;
double r154005 = r154004 * r154004;
double r154006 = r154003 * r154005;
double r154007 = r154001 / r154006;
double r154008 = r154007 * r154007;
double r154009 = M;
double r154010 = r154009 * r154009;
double r154011 = r154008 - r154010;
double r154012 = sqrt(r154011);
double r154013 = r154007 + r154012;
double r154014 = r153998 * r154013;
return r154014;
}
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 r154015 = 0.0;
return r154015;
}



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 35.8
rmApplied add-cube-cbrt35.8
Simplified35.8
Simplified33.7
Final simplification33.7
herbie shell --seed 2019174
(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))))))