Average Error: 61.8 → 0.4
Time: 5.2s
Precision: 64
Internal Precision: 128
\[\left(1 + t \cdot 2 \cdot 10^{-16}\right) \cdot \left(1 + t \cdot 2 \cdot 10^{-16}\right) + \left(-1 - 2 \cdot \left(t \cdot 2 \cdot 10^{-16}\right)\right)\]
↓
\[\left(2 \cdot 10^{-16} \cdot \left(t \cdot t\right)\right) \cdot 2 \cdot 10^{-16}\]

Error

Bits error versus t

Target

Original61.8
Target50.6
Herbie0.4
\[(\left(1 + t \cdot 2 \cdot 10^{-16}\right) \cdot \left(1 + t \cdot 2 \cdot 10^{-16}\right) + \left(-1 - 2 \cdot \left(t \cdot 2 \cdot 10^{-16}\right)\right))_*\]

Derivation

  1. Initial program 61.8

    \[\left(1 + t \cdot 2 \cdot 10^{-16}\right) \cdot \left(1 + t \cdot 2 \cdot 10^{-16}\right) + \left(-1 - 2 \cdot \left(t \cdot 2 \cdot 10^{-16}\right)\right)\]

  2. Simplified0.4

    \[\leadsto \color{blue}{\left(2 \cdot 10^{-16} \cdot t\right) \cdot \left(2 \cdot 10^{-16} \cdot t\right)}\]
  3. Using strategy rm

  4. Applied associate-*l*0.3

    \[\leadsto \color{blue}{2 \cdot 10^{-16} \cdot \left(t \cdot \left(2 \cdot 10^{-16} \cdot t\right)\right)}\]

  5. Taylor expanded around 0 0.4

    \[\leadsto 2 \cdot 10^{-16} \cdot \color{blue}{\left(2 \cdot 10^{-16} \cdot {t}^{2}\right)}\]

  6. Simplified0.4

    \[\leadsto 2 \cdot 10^{-16} \cdot \color{blue}{\left(\left(t \cdot t\right) \cdot 2 \cdot 10^{-16}\right)}\]

  7. Final simplification0.4

    \[\leadsto \left(2 \cdot 10^{-16} \cdot \left(t \cdot t\right)\right) \cdot 2 \cdot 10^{-16}\]

Reproduce

herbie shell --seed 2019093 
(FPCore (t)
  :name "fma_test1"
  :pre (<= 0.9 t 1.1)

  :herbie-target
  (fma (+ 1 (* t 2e-16)) (+ 1 (* t 2e-16)) (- -1 (* 2 (* t 2e-16))))

  (+ (* (+ 1 (* t 2e-16)) (+ 1 (* t 2e-16))) (- -1 (* 2 (* t 2e-16)))))