Falkner and Boettcher, Equation (20:1,3)

Percentage Accurate: 99.3% → 99.3%
Time: 7.3s
Alternatives: 8
Speedup: 1.4×

Specification

?
\[\begin{array}{l} \\ \frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2 \cdot \left(1 - 3 \cdot \left(v \cdot v\right)\right)}\right) \cdot \left(1 - v \cdot v\right)} \end{array} \]
(FPCore (v t)
 :precision binary64
 (/
  (- 1.0 (* 5.0 (* v v)))
  (* (* (* (PI) t) (sqrt (* 2.0 (- 1.0 (* 3.0 (* v v)))))) (- 1.0 (* v v)))))
\begin{array}{l}

\\
\frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2 \cdot \left(1 - 3 \cdot \left(v \cdot v\right)\right)}\right) \cdot \left(1 - v \cdot v\right)}
\end{array}

Sampling outcomes in binary64 precision:

Local Percentage Accuracy vs ?

The average percentage accuracy by input value. Horizontal axis shows value of an input variable; the variable is choosen in the title. Vertical axis is accuracy; higher is better. Red represent the original program, while blue represents Herbie's suggestion. These can be toggled with buttons below the plot. The line is an average while dots represent individual samples.

Accuracy vs Speed?

Herbie found 8 alternatives:

AlternativeAccuracySpeedup
The accuracy (vertical axis) and speed (horizontal axis) of each alternatives. Up and to the right is better. The red square shows the initial program, and each blue circle shows an alternative.The line shows the best available speed-accuracy tradeoffs.

Initial Program: 99.3% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2 \cdot \left(1 - 3 \cdot \left(v \cdot v\right)\right)}\right) \cdot \left(1 - v \cdot v\right)} \end{array} \]
(FPCore (v t)
 :precision binary64
 (/
  (- 1.0 (* 5.0 (* v v)))
  (* (* (* (PI) t) (sqrt (* 2.0 (- 1.0 (* 3.0 (* v v)))))) (- 1.0 (* v v)))))
\begin{array}{l}

\\
\frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2 \cdot \left(1 - 3 \cdot \left(v \cdot v\right)\right)}\right) \cdot \left(1 - v \cdot v\right)}
\end{array}

Alternative 1: 99.3% accurate, 1.4× speedup?

\[\begin{array}{l} \\ \frac{\frac{\frac{\mathsf{fma}\left(-2.5, v \cdot v, 1\right)}{\mathsf{PI}\left(\right)}}{\sqrt{2}}}{t} \end{array} \]
(FPCore (v t)
 :precision binary64
 (/ (/ (/ (fma -2.5 (* v v) 1.0) (PI)) (sqrt 2.0)) t))
\begin{array}{l}

\\
\frac{\frac{\frac{\mathsf{fma}\left(-2.5, v \cdot v, 1\right)}{\mathsf{PI}\left(\right)}}{\sqrt{2}}}{t}
\end{array}
Derivation
  1. Initial program 99.4%

    \[\frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2 \cdot \left(1 - 3 \cdot \left(v \cdot v\right)\right)}\right) \cdot \left(1 - v \cdot v\right)} \]
  2. Add Preprocessing
  3. Taylor expanded in v around 0

    \[\leadsto \color{blue}{\frac{-5}{2} \cdot \frac{{v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} + \frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
  4. Step-by-step derivation
    1. associate-*r/N/A

      \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} + \frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
    2. div-add-revN/A

      \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2} + 1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
    3. lower-/.f64N/A

      \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2} + 1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
    4. *-commutativeN/A

      \[\leadsto \frac{\color{blue}{{v}^{2} \cdot \frac{-5}{2}} + 1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
    5. lower-fma.f64N/A

      \[\leadsto \frac{\color{blue}{\mathsf{fma}\left({v}^{2}, \frac{-5}{2}, 1\right)}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
    6. unpow2N/A

      \[\leadsto \frac{\mathsf{fma}\left(\color{blue}{v \cdot v}, \frac{-5}{2}, 1\right)}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
    7. lower-*.f64N/A

      \[\leadsto \frac{\mathsf{fma}\left(\color{blue}{v \cdot v}, \frac{-5}{2}, 1\right)}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
    8. *-commutativeN/A

      \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
    9. lower-*.f64N/A

      \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
    10. *-commutativeN/A

      \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
    11. lower-*.f64N/A

      \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
    12. lower-sqrt.f64N/A

      \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\left(\color{blue}{\sqrt{2}} \cdot \mathsf{PI}\left(\right)\right) \cdot t} \]
    13. lower-PI.f6499.5

      \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, -2.5, 1\right)}{\left(\sqrt{2} \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot t} \]
  5. Applied rewrites99.5%

    \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(v \cdot v, -2.5, 1\right)}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right) \cdot t}} \]
  6. Step-by-step derivation
    1. Applied rewrites99.8%

      \[\leadsto \frac{\frac{\frac{\mathsf{fma}\left(-2.5, v \cdot v, 1\right)}{\mathsf{PI}\left(\right)}}{\sqrt{2}}}{\color{blue}{t}} \]
    2. Add Preprocessing

    Alternative 2: 98.9% accurate, 0.6× speedup?

    \[\begin{array}{l} \\ \frac{{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)}^{-1}}{t} \end{array} \]
    (FPCore (v t) :precision binary64 (/ (pow (* (sqrt 2.0) (PI)) -1.0) t))
    \begin{array}{l}
    
    \\
    \frac{{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)}^{-1}}{t}
    \end{array}
    
    Derivation
    1. Initial program 99.4%

      \[\frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2 \cdot \left(1 - 3 \cdot \left(v \cdot v\right)\right)}\right) \cdot \left(1 - v \cdot v\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in v around 0

      \[\leadsto \color{blue}{\frac{-5}{2} \cdot \frac{{v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} + \frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
    4. Step-by-step derivation
      1. associate-*r/N/A

        \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} + \frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
      2. div-add-revN/A

        \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2} + 1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
      3. lower-/.f64N/A

        \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2} + 1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
      4. *-commutativeN/A

        \[\leadsto \frac{\color{blue}{{v}^{2} \cdot \frac{-5}{2}} + 1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
      5. lower-fma.f64N/A

        \[\leadsto \frac{\color{blue}{\mathsf{fma}\left({v}^{2}, \frac{-5}{2}, 1\right)}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
      6. unpow2N/A

        \[\leadsto \frac{\mathsf{fma}\left(\color{blue}{v \cdot v}, \frac{-5}{2}, 1\right)}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
      7. lower-*.f64N/A

        \[\leadsto \frac{\mathsf{fma}\left(\color{blue}{v \cdot v}, \frac{-5}{2}, 1\right)}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
      8. *-commutativeN/A

        \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
      9. lower-*.f64N/A

        \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
      10. *-commutativeN/A

        \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
      11. lower-*.f64N/A

        \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
      12. lower-sqrt.f64N/A

        \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\left(\color{blue}{\sqrt{2}} \cdot \mathsf{PI}\left(\right)\right) \cdot t} \]
      13. lower-PI.f6499.5

        \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, -2.5, 1\right)}{\left(\sqrt{2} \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot t} \]
    5. Applied rewrites99.5%

      \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(v \cdot v, -2.5, 1\right)}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right) \cdot t}} \]
    6. Step-by-step derivation
      1. Applied rewrites99.8%

        \[\leadsto \frac{\frac{\frac{\mathsf{fma}\left(-2.5, v \cdot v, 1\right)}{\mathsf{PI}\left(\right)}}{\sqrt{2}}}{\color{blue}{t}} \]
      2. Taylor expanded in v around 0

        \[\leadsto \frac{\frac{1}{\mathsf{PI}\left(\right) \cdot \sqrt{2}}}{t} \]
      3. Step-by-step derivation
        1. Applied rewrites99.4%

          \[\leadsto \frac{\frac{1}{\sqrt{2} \cdot \mathsf{PI}\left(\right)}}{t} \]
        2. Final simplification99.4%

          \[\leadsto \frac{{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)}^{-1}}{t} \]
        3. Add Preprocessing

        Alternative 3: 98.4% accurate, 0.6× speedup?

        \[\begin{array}{l} \\ {\left(\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right) \cdot t\right)}^{-1} \end{array} \]
        (FPCore (v t) :precision binary64 (pow (* (* (sqrt 2.0) (PI)) t) -1.0))
        \begin{array}{l}
        
        \\
        {\left(\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right) \cdot t\right)}^{-1}
        \end{array}
        
        Derivation
        1. Initial program 99.4%

          \[\frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2 \cdot \left(1 - 3 \cdot \left(v \cdot v\right)\right)}\right) \cdot \left(1 - v \cdot v\right)} \]
        2. Add Preprocessing
        3. Taylor expanded in v around 0

          \[\leadsto \color{blue}{\frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
        4. Step-by-step derivation
          1. lower-/.f64N/A

            \[\leadsto \color{blue}{\frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
          2. *-commutativeN/A

            \[\leadsto \frac{1}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
          3. lower-*.f64N/A

            \[\leadsto \frac{1}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
          4. *-commutativeN/A

            \[\leadsto \frac{1}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
          5. lower-*.f64N/A

            \[\leadsto \frac{1}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
          6. lower-sqrt.f64N/A

            \[\leadsto \frac{1}{\left(\color{blue}{\sqrt{2}} \cdot \mathsf{PI}\left(\right)\right) \cdot t} \]
          7. lower-PI.f6499.1

            \[\leadsto \frac{1}{\left(\sqrt{2} \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot t} \]
        5. Applied rewrites99.1%

          \[\leadsto \color{blue}{\frac{1}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right) \cdot t}} \]
        6. Final simplification99.1%

          \[\leadsto {\left(\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right) \cdot t\right)}^{-1} \]
        7. Add Preprocessing

        Alternative 4: 98.3% accurate, 0.6× speedup?

        \[\begin{array}{l} \\ {\left(\left(\sqrt{2} \cdot t\right) \cdot \mathsf{PI}\left(\right)\right)}^{-1} \end{array} \]
        (FPCore (v t) :precision binary64 (pow (* (* (sqrt 2.0) t) (PI)) -1.0))
        \begin{array}{l}
        
        \\
        {\left(\left(\sqrt{2} \cdot t\right) \cdot \mathsf{PI}\left(\right)\right)}^{-1}
        \end{array}
        
        Derivation
        1. Initial program 99.4%

          \[\frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2 \cdot \left(1 - 3 \cdot \left(v \cdot v\right)\right)}\right) \cdot \left(1 - v \cdot v\right)} \]
        2. Add Preprocessing
        3. Taylor expanded in v around 0

          \[\leadsto \color{blue}{\frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
        4. Step-by-step derivation
          1. lower-/.f64N/A

            \[\leadsto \color{blue}{\frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
          2. *-commutativeN/A

            \[\leadsto \frac{1}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
          3. lower-*.f64N/A

            \[\leadsto \frac{1}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
          4. *-commutativeN/A

            \[\leadsto \frac{1}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
          5. lower-*.f64N/A

            \[\leadsto \frac{1}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
          6. lower-sqrt.f64N/A

            \[\leadsto \frac{1}{\left(\color{blue}{\sqrt{2}} \cdot \mathsf{PI}\left(\right)\right) \cdot t} \]
          7. lower-PI.f6499.1

            \[\leadsto \frac{1}{\left(\sqrt{2} \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot t} \]
        5. Applied rewrites99.1%

          \[\leadsto \color{blue}{\frac{1}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right) \cdot t}} \]
        6. Step-by-step derivation
          1. Applied rewrites99.0%

            \[\leadsto \frac{1}{\left(\sqrt{2} \cdot t\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}} \]
          2. Final simplification99.0%

            \[\leadsto {\left(\left(\sqrt{2} \cdot t\right) \cdot \mathsf{PI}\left(\right)\right)}^{-1} \]
          3. Add Preprocessing

          Alternative 5: 98.3% accurate, 0.6× speedup?

          \[\begin{array}{l} \\ {\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2}\right)}^{-1} \end{array} \]
          (FPCore (v t) :precision binary64 (pow (* (* (PI) t) (sqrt 2.0)) -1.0))
          \begin{array}{l}
          
          \\
          {\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2}\right)}^{-1}
          \end{array}
          
          Derivation
          1. Initial program 99.4%

            \[\frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2 \cdot \left(1 - 3 \cdot \left(v \cdot v\right)\right)}\right) \cdot \left(1 - v \cdot v\right)} \]
          2. Add Preprocessing
          3. Taylor expanded in v around 0

            \[\leadsto \color{blue}{\frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
          4. Step-by-step derivation
            1. lower-/.f64N/A

              \[\leadsto \color{blue}{\frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
            2. *-commutativeN/A

              \[\leadsto \frac{1}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
            3. lower-*.f64N/A

              \[\leadsto \frac{1}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
            4. *-commutativeN/A

              \[\leadsto \frac{1}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
            5. lower-*.f64N/A

              \[\leadsto \frac{1}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
            6. lower-sqrt.f64N/A

              \[\leadsto \frac{1}{\left(\color{blue}{\sqrt{2}} \cdot \mathsf{PI}\left(\right)\right) \cdot t} \]
            7. lower-PI.f6499.1

              \[\leadsto \frac{1}{\left(\sqrt{2} \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot t} \]
          5. Applied rewrites99.1%

            \[\leadsto \color{blue}{\frac{1}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right) \cdot t}} \]
          6. Step-by-step derivation
            1. Applied rewrites99.0%

              \[\leadsto \frac{1}{\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \color{blue}{\sqrt{2}}} \]
            2. Final simplification99.0%

              \[\leadsto {\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2}\right)}^{-1} \]
            3. Add Preprocessing

            Alternative 6: 99.0% accurate, 1.6× speedup?

            \[\begin{array}{l} \\ \frac{\frac{\mathsf{fma}\left(v \cdot v, -2.5, 1\right)}{\mathsf{PI}\left(\right)}}{\sqrt{2} \cdot t} \end{array} \]
            (FPCore (v t)
             :precision binary64
             (/ (/ (fma (* v v) -2.5 1.0) (PI)) (* (sqrt 2.0) t)))
            \begin{array}{l}
            
            \\
            \frac{\frac{\mathsf{fma}\left(v \cdot v, -2.5, 1\right)}{\mathsf{PI}\left(\right)}}{\sqrt{2} \cdot t}
            \end{array}
            
            Derivation
            1. Initial program 99.4%

              \[\frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2 \cdot \left(1 - 3 \cdot \left(v \cdot v\right)\right)}\right) \cdot \left(1 - v \cdot v\right)} \]
            2. Add Preprocessing
            3. Taylor expanded in v around 0

              \[\leadsto \color{blue}{\frac{-5}{2} \cdot \frac{{v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} + \frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
            4. Step-by-step derivation
              1. associate-*r/N/A

                \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} + \frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
              2. div-add-revN/A

                \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2} + 1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
              3. lower-/.f64N/A

                \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2} + 1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
              4. *-commutativeN/A

                \[\leadsto \frac{\color{blue}{{v}^{2} \cdot \frac{-5}{2}} + 1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
              5. lower-fma.f64N/A

                \[\leadsto \frac{\color{blue}{\mathsf{fma}\left({v}^{2}, \frac{-5}{2}, 1\right)}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
              6. unpow2N/A

                \[\leadsto \frac{\mathsf{fma}\left(\color{blue}{v \cdot v}, \frac{-5}{2}, 1\right)}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
              7. lower-*.f64N/A

                \[\leadsto \frac{\mathsf{fma}\left(\color{blue}{v \cdot v}, \frac{-5}{2}, 1\right)}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
              8. *-commutativeN/A

                \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
              9. lower-*.f64N/A

                \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
              10. *-commutativeN/A

                \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
              11. lower-*.f64N/A

                \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
              12. lower-sqrt.f64N/A

                \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\left(\color{blue}{\sqrt{2}} \cdot \mathsf{PI}\left(\right)\right) \cdot t} \]
              13. lower-PI.f6499.5

                \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, -2.5, 1\right)}{\left(\sqrt{2} \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot t} \]
            5. Applied rewrites99.5%

              \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(v \cdot v, -2.5, 1\right)}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right) \cdot t}} \]
            6. Step-by-step derivation
              1. Applied rewrites99.8%

                \[\leadsto \frac{\frac{\frac{\mathsf{fma}\left(-2.5, v \cdot v, 1\right)}{\mathsf{PI}\left(\right)}}{\sqrt{2}}}{\color{blue}{t}} \]
              2. Step-by-step derivation
                1. Applied rewrites99.5%

                  \[\leadsto \frac{\frac{\mathsf{fma}\left(v \cdot v, -2.5, 1\right)}{\mathsf{PI}\left(\right)}}{\color{blue}{\sqrt{2} \cdot t}} \]
                2. Add Preprocessing

                Alternative 7: 99.0% accurate, 1.6× speedup?

                \[\begin{array}{l} \\ \frac{\frac{\mathsf{fma}\left(-2.5, v \cdot v, 1\right)}{t}}{\mathsf{PI}\left(\right) \cdot \sqrt{2}} \end{array} \]
                (FPCore (v t)
                 :precision binary64
                 (/ (/ (fma -2.5 (* v v) 1.0) t) (* (PI) (sqrt 2.0))))
                \begin{array}{l}
                
                \\
                \frac{\frac{\mathsf{fma}\left(-2.5, v \cdot v, 1\right)}{t}}{\mathsf{PI}\left(\right) \cdot \sqrt{2}}
                \end{array}
                
                Derivation
                1. Initial program 99.4%

                  \[\frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2 \cdot \left(1 - 3 \cdot \left(v \cdot v\right)\right)}\right) \cdot \left(1 - v \cdot v\right)} \]
                2. Add Preprocessing
                3. Taylor expanded in v around 0

                  \[\leadsto \color{blue}{\frac{-5}{2} \cdot \frac{{v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} + \frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
                4. Step-by-step derivation
                  1. associate-*r/N/A

                    \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} + \frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
                  2. div-add-revN/A

                    \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2} + 1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
                  3. lower-/.f64N/A

                    \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2} + 1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
                  4. *-commutativeN/A

                    \[\leadsto \frac{\color{blue}{{v}^{2} \cdot \frac{-5}{2}} + 1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
                  5. lower-fma.f64N/A

                    \[\leadsto \frac{\color{blue}{\mathsf{fma}\left({v}^{2}, \frac{-5}{2}, 1\right)}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
                  6. unpow2N/A

                    \[\leadsto \frac{\mathsf{fma}\left(\color{blue}{v \cdot v}, \frac{-5}{2}, 1\right)}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
                  7. lower-*.f64N/A

                    \[\leadsto \frac{\mathsf{fma}\left(\color{blue}{v \cdot v}, \frac{-5}{2}, 1\right)}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
                  8. *-commutativeN/A

                    \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
                  9. lower-*.f64N/A

                    \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
                  10. *-commutativeN/A

                    \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
                  11. lower-*.f64N/A

                    \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
                  12. lower-sqrt.f64N/A

                    \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\left(\color{blue}{\sqrt{2}} \cdot \mathsf{PI}\left(\right)\right) \cdot t} \]
                  13. lower-PI.f6499.5

                    \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, -2.5, 1\right)}{\left(\sqrt{2} \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot t} \]
                5. Applied rewrites99.5%

                  \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(v \cdot v, -2.5, 1\right)}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right) \cdot t}} \]
                6. Step-by-step derivation
                  1. Applied rewrites99.5%

                    \[\leadsto \color{blue}{\frac{\frac{\mathsf{fma}\left(-2.5, v \cdot v, 1\right)}{t}}{\mathsf{PI}\left(\right) \cdot \sqrt{2}}} \]
                  2. Add Preprocessing

                  Alternative 8: 98.9% accurate, 1.8× speedup?

                  \[\begin{array}{l} \\ \frac{\mathsf{fma}\left(v \cdot v, -2.5, 1\right)}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right) \cdot t} \end{array} \]
                  (FPCore (v t)
                   :precision binary64
                   (/ (fma (* v v) -2.5 1.0) (* (* (sqrt 2.0) (PI)) t)))
                  \begin{array}{l}
                  
                  \\
                  \frac{\mathsf{fma}\left(v \cdot v, -2.5, 1\right)}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right) \cdot t}
                  \end{array}
                  
                  Derivation
                  1. Initial program 99.4%

                    \[\frac{1 - 5 \cdot \left(v \cdot v\right)}{\left(\left(\mathsf{PI}\left(\right) \cdot t\right) \cdot \sqrt{2 \cdot \left(1 - 3 \cdot \left(v \cdot v\right)\right)}\right) \cdot \left(1 - v \cdot v\right)} \]
                  2. Add Preprocessing
                  3. Taylor expanded in v around 0

                    \[\leadsto \color{blue}{\frac{-5}{2} \cdot \frac{{v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} + \frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
                  4. Step-by-step derivation
                    1. associate-*r/N/A

                      \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} + \frac{1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
                    2. div-add-revN/A

                      \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2} + 1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
                    3. lower-/.f64N/A

                      \[\leadsto \color{blue}{\frac{\frac{-5}{2} \cdot {v}^{2} + 1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)}} \]
                    4. *-commutativeN/A

                      \[\leadsto \frac{\color{blue}{{v}^{2} \cdot \frac{-5}{2}} + 1}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
                    5. lower-fma.f64N/A

                      \[\leadsto \frac{\color{blue}{\mathsf{fma}\left({v}^{2}, \frac{-5}{2}, 1\right)}}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
                    6. unpow2N/A

                      \[\leadsto \frac{\mathsf{fma}\left(\color{blue}{v \cdot v}, \frac{-5}{2}, 1\right)}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
                    7. lower-*.f64N/A

                      \[\leadsto \frac{\mathsf{fma}\left(\color{blue}{v \cdot v}, \frac{-5}{2}, 1\right)}{t \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right)} \]
                    8. *-commutativeN/A

                      \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
                    9. lower-*.f64N/A

                      \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{2}\right) \cdot t}} \]
                    10. *-commutativeN/A

                      \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
                    11. lower-*.f64N/A

                      \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\color{blue}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot t} \]
                    12. lower-sqrt.f64N/A

                      \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, \frac{-5}{2}, 1\right)}{\left(\color{blue}{\sqrt{2}} \cdot \mathsf{PI}\left(\right)\right) \cdot t} \]
                    13. lower-PI.f6499.5

                      \[\leadsto \frac{\mathsf{fma}\left(v \cdot v, -2.5, 1\right)}{\left(\sqrt{2} \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot t} \]
                  5. Applied rewrites99.5%

                    \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(v \cdot v, -2.5, 1\right)}{\left(\sqrt{2} \cdot \mathsf{PI}\left(\right)\right) \cdot t}} \]
                  6. Add Preprocessing

                  Reproduce

                  ?
                  herbie shell --seed 2024351 
                  (FPCore (v t)
                    :name "Falkner and Boettcher, Equation (20:1,3)"
                    :precision binary64
                    (/ (- 1.0 (* 5.0 (* v v))) (* (* (* (PI) t) (sqrt (* 2.0 (- 1.0 (* 3.0 (* v v)))))) (- 1.0 (* v v)))))