Average Error: 0.0 → 0.0
Time: 12.1s
Precision: 64
Internal Precision: 320
\[\frac{x}{1 + e^{\left(-1.702\right) \cdot x}}\]
\[\frac{x}{1 + \frac{1}{e^{1.702 \cdot x}}}\]

Error

Bits error versus x

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Your Program's Arguments

Results

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Derivation

  1. Initial program 0.0

    \[\frac{x}{1 + e^{\left(-1.702\right) \cdot x}}\]
  2. Using strategy rm
  3. Applied distribute-lft-neg-out0.0

    \[\leadsto \frac{x}{1 + e^{\color{blue}{-1.702 \cdot x}}}\]
  4. Applied exp-neg0.0

    \[\leadsto \frac{x}{1 + \color{blue}{\frac{1}{e^{1.702 \cdot x}}}}\]

Runtime

Time bar (total: 12.1s)Debug log

herbie shell --seed '#(2775764126 3555076145 3898259844 1891440260 2599947619 1948460636)' 
(FPCore (x)
  :name "x/(1 + exp(-1.702 * x))"
  (/ x (+ 1 (exp (* (- 1.702) x)))))