Average Error: 0.1 → 0.1
Time: 3.8s
Precision: 64
Internal precision: 384
\[0.954929658551372 \cdot x - 0.12900613773279798 \cdot \left(\left(x \cdot x\right) \cdot x\right)\]
⬇
\[x \cdot 0.954929658551372 - 0.12900613773279798 \cdot {x}^{3}\]

Error

Bits error versus x

Derivation

  1. Initial program 0.1

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

  2. Applied simplify 0.1

    \[\leadsto \color{blue}{x \cdot 0.954929658551372 - 0.12900613773279798 \cdot {x}^3}\]
  3. Using strategy rm

  4. Applied pow3 0.1

    \[\leadsto x \cdot 0.954929658551372 - 0.12900613773279798 \cdot \color{blue}{{x}^{3}}\]
  5. Removed slow pow expressions

Runtime

Time bar (total: 3.8s) Debug logProfile

Please include this information when filing a bug report:

herbie shell --seed '#(1064524629 4159152179 2999149171 575749698 4006532819 692958815)'
(FPCore (x)
  :name "Rosa's Benchmark"
  (- (* 0.954929658551372 x) (* 0.12900613773279798 (* (* x x) x))))