Average Error: 0.1 → 0.1
Time: 29.2s
Precision: 64
Internal Precision: 576
\[0.954929658551372 \cdot x - 0.12900613773279798 \cdot \left(\left(x \cdot x\right) \cdot x\right)\]
↓
\[\left(-0.12900613773279798\right) \cdot {x}^{3} + 0.954929658551372 \cdot x\]

Error

Bits error versus x

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Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.1

    \[0.954929658551372 \cdot x - 0.12900613773279798 \cdot \left(\left(x \cdot x\right) \cdot x\right)\]

  2. Applied simplify0.1

    \[\leadsto \color{blue}{(\left(-0.12900613773279798\right) \cdot \left({x}^{3}\right) + \left(0.954929658551372 \cdot x\right))_*}\]
  3. Using strategy rm

  4. Applied fma-udef0.1

    \[\leadsto \color{blue}{\left(-0.12900613773279798\right) \cdot {x}^{3} + 0.954929658551372 \cdot x}\]

Runtime

Time bar (total: 29.2s)Debug logProfile

herbie shell --seed 2019053 +o rules:numerics
(FPCore (x)
  :name "Rosa's Benchmark"
  (- (* 0.954929658551372 x) (* 0.12900613773279798 (* (* x x) x))))