2-ancestry mixing, negative discriminant

Percentage Accurate: 98.5% → 100.0%
Time: 5.6s
Alternatives: 3
Speedup: 1.1×

Specification

?
\[\begin{array}{l} \\ 2 \cdot \cos \left(\frac{2 \cdot \mathsf{PI}\left(\right)}{3} + \frac{\cos^{-1} \left(\frac{-g}{h}\right)}{3}\right) \end{array} \]
(FPCore (g h)
 :precision binary64
 (* 2.0 (cos (+ (/ (* 2.0 (PI)) 3.0) (/ (acos (/ (- g) h)) 3.0)))))
\begin{array}{l}

\\
2 \cdot \cos \left(\frac{2 \cdot \mathsf{PI}\left(\right)}{3} + \frac{\cos^{-1} \left(\frac{-g}{h}\right)}{3}\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 3 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: 98.5% accurate, 1.0× speedup?

\[\begin{array}{l} \\ 2 \cdot \cos \left(\frac{2 \cdot \mathsf{PI}\left(\right)}{3} + \frac{\cos^{-1} \left(\frac{-g}{h}\right)}{3}\right) \end{array} \]
(FPCore (g h)
 :precision binary64
 (* 2.0 (cos (+ (/ (* 2.0 (PI)) 3.0) (/ (acos (/ (- g) h)) 3.0)))))
\begin{array}{l}

\\
2 \cdot \cos \left(\frac{2 \cdot \mathsf{PI}\left(\right)}{3} + \frac{\cos^{-1} \left(\frac{-g}{h}\right)}{3}\right)
\end{array}

Alternative 1: 100.0% accurate, 1.1× speedup?

\[\begin{array}{l} \\ \sin \left(\mathsf{fma}\left(\cos^{-1} \left(\frac{-g}{h}\right) - \mathsf{PI}\left(\right), 0.3333333333333333, 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot -2 \end{array} \]
(FPCore (g h)
 :precision binary64
 (*
  (sin (fma (- (acos (/ (- g) h)) (PI)) 0.3333333333333333 (* 0.5 (PI))))
  -2.0))
\begin{array}{l}

\\
\sin \left(\mathsf{fma}\left(\cos^{-1} \left(\frac{-g}{h}\right) - \mathsf{PI}\left(\right), 0.3333333333333333, 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot -2
\end{array}
Derivation

  1. Initial program 98.5%

    \[2 \cdot \cos \left(\frac{2 \cdot \mathsf{PI}\left(\right)}{3} + \frac{\cos^{-1} \left(\frac{-g}{h}\right)}{3}\right) \]
  2. Add Preprocessing

  3. Taylor expanded in g around 0

    \[\leadsto \color{blue}{2 \cdot \cos \left(\frac{1}{3} \cdot \cos^{-1} \left(-1 \cdot \frac{g}{h}\right) + \frac{2}{3} \cdot \mathsf{PI}\left(\right)\right)} \]

  5. Applied rewrites98.5%

    \[\leadsto \color{blue}{\cos \left(\left(\cos^{-1} \left(\frac{-g}{h}\right) - \mathsf{PI}\left(\right)\right) \cdot 0.3333333333333333\right) \cdot -2} \]
  6. Step-by-step derivation

    1. Applied rewrites100.0%

      \[\leadsto \sin \left(\mathsf{fma}\left(0.3333333333333333, \cos^{-1} \left(\frac{-g}{h}\right) - \mathsf{PI}\left(\right), \frac{\mathsf{PI}\left(\right)}{2}\right)\right) \cdot -2 \]

    2. Taylor expanded in g around 0

      \[\leadsto \sin \left(\frac{1}{3} \cdot \left(\cos^{-1} \left(-1 \cdot \frac{g}{h}\right) - \mathsf{PI}\left(\right)\right) + \frac{1}{2} \cdot \mathsf{PI}\left(\right)\right) \cdot -2 \]
    3. Step-by-step derivation

      1. Applied rewrites100.0%

        \[\leadsto \sin \left(\mathsf{fma}\left(\cos^{-1} \left(\frac{-g}{h}\right) - \mathsf{PI}\left(\right), 0.3333333333333333, 0.5 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot -2 \]
      2. Add Preprocessing

      Alternative 2: 98.5% accurate, 1.1× speedup?

      \[\begin{array}{l} \\ \cos \left(\cos^{-1} \left(\frac{g}{h}\right) \cdot -0.3333333333333333\right) \cdot -2 \end{array} \]
      (FPCore (g h)
 :precision binary64
 (* (cos (* (acos (/ g h)) -0.3333333333333333)) -2.0))
      double code(double g, double h) {
	return cos((acos((g / h)) * -0.3333333333333333)) * -2.0;
}

      module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(g, h)
use fmin_fmax_functions
    real(8), intent (in) :: g
    real(8), intent (in) :: h
    code = cos((acos((g / h)) * (-0.3333333333333333d0))) * (-2.0d0)
end function

      public static double code(double g, double h) {
	return Math.cos((Math.acos((g / h)) * -0.3333333333333333)) * -2.0;
}

      def code(g, h):
	return math.cos((math.acos((g / h)) * -0.3333333333333333)) * -2.0

      function code(g, h)
	return Float64(cos(Float64(acos(Float64(g / h)) * -0.3333333333333333)) * -2.0)
end

      function tmp = code(g, h)
	tmp = cos((acos((g / h)) * -0.3333333333333333)) * -2.0;
end

      code[g_, h_] := N[(N[Cos[N[(N[ArcCos[N[(g / h), $MachinePrecision]], $MachinePrecision] * -0.3333333333333333), $MachinePrecision]], $MachinePrecision] * -2.0), $MachinePrecision]

      \begin{array}{l}

\\
\cos \left(\cos^{-1} \left(\frac{g}{h}\right) \cdot -0.3333333333333333\right) \cdot -2
\end{array}
      Derivation

      1. Initial program 98.5%

        \[2 \cdot \cos \left(\frac{2 \cdot \mathsf{PI}\left(\right)}{3} + \frac{\cos^{-1} \left(\frac{-g}{h}\right)}{3}\right) \]
      2. Add Preprocessing

      3. Taylor expanded in g around 0

        \[\leadsto \color{blue}{2 \cdot \cos \left(\frac{1}{3} \cdot \cos^{-1} \left(-1 \cdot \frac{g}{h}\right) + \frac{2}{3} \cdot \mathsf{PI}\left(\right)\right)} \]

      5. Applied rewrites98.5%

        \[\leadsto \color{blue}{\cos \left(\left(\cos^{-1} \left(\frac{-g}{h}\right) - \mathsf{PI}\left(\right)\right) \cdot 0.3333333333333333\right) \cdot -2} \]
      6. Step-by-step derivation

        1. Applied rewrites98.5%

          \[\leadsto \cos \left(\left(\left(\mathsf{PI}\left(\right) - \cos^{-1} \left(\frac{g}{h}\right)\right) - \mathsf{PI}\left(\right)\right) \cdot 0.3333333333333333\right) \cdot -2 \]

        2. Taylor expanded in g around 0

          \[\leadsto \cos \left(\frac{-1}{3} \cdot \cos^{-1} \left(\frac{g}{h}\right)\right) \cdot -2 \]
        3. Step-by-step derivation

          1. Applied rewrites98.5%

            \[\leadsto \cos \left(\cos^{-1} \left(\frac{g}{h}\right) \cdot -0.3333333333333333\right) \cdot -2 \]
          2. Add Preprocessing

          Alternative 3: 3.1% accurate, 249.0× speedup?

          \[\begin{array}{l} \\ 0 \end{array} \]
          (FPCore (g h) :precision binary64 0.0)
          double code(double g, double h) {
	return 0.0;
}

          module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(g, h)
use fmin_fmax_functions
    real(8), intent (in) :: g
    real(8), intent (in) :: h
    code = 0.0d0
end function

          public static double code(double g, double h) {
	return 0.0;
}

          def code(g, h):
	return 0.0

          function code(g, h)
	return 0.0
end

          function tmp = code(g, h)
	tmp = 0.0;
end

          code[g_, h_] := 0.0

          \begin{array}{l}

\\
0
\end{array}
          Derivation

          1. Initial program 98.5%

            \[2 \cdot \cos \left(\frac{2 \cdot \mathsf{PI}\left(\right)}{3} + \frac{\cos^{-1} \left(\frac{-g}{h}\right)}{3}\right) \]
          2. Add Preprocessing

          4. Applied rewrites3.1%

            \[\leadsto \color{blue}{0} \]
          5. Add Preprocessing

          Reproduce

          ?
          herbie shell --seed 2024351 
(FPCore (g h)
  :name "2-ancestry mixing, negative discriminant"
  :precision binary64
  (* 2.0 (cos (+ (/ (* 2.0 (PI)) 3.0) (/ (acos (/ (- g) h)) 3.0)))))