Average Error: 0.7 → 1.1
Time: 3.3s
Precision: binary64
\[\]
↓
\[\]
↓
double code(double x, double y, double z, double t) {
	return ((double) (1.0 - ((double) (x / ((double) (((double) (y - z)) * ((double) (y - t))))))));
}

↓
double code(double x, double y, double z, double t) {
	return ((double) (1.0 - ((double) (((double) (x / ((double) (y - t)))) / ((double) (y - z))))));
}

Error
Bits error versus x
Bits error versus y
Bits error versus z
Bits error versus t
Try it out
Your Program's Arguments
Results
Enter valid numbers for all inputs
Derivation
  1. Initial program 0.7
    \[\]
  2. Using strategy rm
  3. Applied clear-num0.7
    \[\leadsto \]
  4. Simplified1.1
    \[\leadsto \]
  5. Using strategy rm
  6. Applied add-sqr-sqrt1.1
    \[\leadsto \]
  7. Applied times-frac1.3
    \[\leadsto \]
  8. Simplified1.3
    \[\leadsto \]
  9. Simplified1.3
    \[\leadsto \]
  10. Using strategy rm
  11. Applied associate-*r/1.2
    \[\leadsto \]
  12. Simplified1.1
    \[\leadsto \]
  13. Final simplification1.1
    \[\leadsto \]
Reproduce
herbie shell --seed 2020180 
(FPCore (x y z t)
  :name "Data.Random.Distribution.Triangular:triangularCDF from random-fu-0.2.6.2, A"
  :precision binary64
  (- 1.0 (/ x (* (- y z) (- y t)))))