\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 r94291 = c0;
double r94292 = 2.0;
double r94293 = w;
double r94294 = r94292 * r94293;
double r94295 = r94291 / r94294;
double r94296 = d;
double r94297 = r94296 * r94296;
double r94298 = r94291 * r94297;
double r94299 = h;
double r94300 = r94293 * r94299;
double r94301 = D;
double r94302 = r94301 * r94301;
double r94303 = r94300 * r94302;
double r94304 = r94298 / r94303;
double r94305 = r94304 * r94304;
double r94306 = M;
double r94307 = r94306 * r94306;
double r94308 = r94305 - r94307;
double r94309 = sqrt(r94308);
double r94310 = r94304 + r94309;
double r94311 = r94295 * r94310;
return r94311;
}
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 r94312 = 0.0;
return r94312;
}



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 59.4
Taylor expanded around inf 35.4
rmApplied *-un-lft-identity35.4
Applied associate-*l*35.4
Simplified33.3
Final simplification33.3
herbie shell --seed 2019212 +o rules:numerics
(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))))))