Average Error: 0.6 → 0.7
Time: 59.3s
Precision: 64
Internal Precision: 384
\[1.0 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}\]
↓
\[1.0 - \frac{1}{\frac{\left(y - z\right) \cdot \left(y - t\right)}{x}}\]

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus t

Target

Original0.6
Target0.6
Herbie0.7
\[1.0 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}\]

Derivation

  1. Initial program 0.6

    \[1.0 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}\]
  2. Using strategy rm

  3. Applied clear-num0.7

    \[\leadsto 1.0 - \color{blue}{\frac{1}{\frac{\left(y - z\right) \cdot \left(y - t\right)}{x}}}\]
  4. Removed slow pow expressions.

Runtime

Time bar (total: 59.3s)Debug log

herbie shell --seed '#(1567391828 2030694642 2833800258 828025724 3004380912 3532991858)' +o setup:early-exit
(FPCore (x y z t)
  :name "Data.Random.Distribution.Triangular:triangularCDF from random-fu-0.2.6.2, A"

  :herbie-target
  (- 1.0 (/ x (* (- y z) (- y t))))

  (- 1.0 (/ x (* (- y z) (- y t)))))