2cos (problem 3.3.5)

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Percentage Accurate: 38.2% → 99.3%
Time: 20.6s
Precision: binary64
Cost: 39616

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\[\cos \left(x + \varepsilon\right) - \cos x \]
\[\begin{array}{l} t_0 := \sin \left(0.5 \cdot \varepsilon\right)\\ -2 \cdot \left(t_0 \cdot \mathsf{fma}\left(\sin \left(0.5 \cdot \left(x + x\right)\right), \cos \left(0.5 \cdot \varepsilon\right), \cos x \cdot t_0\right)\right) \end{array} \]
(FPCore (x eps) :precision binary64 (- (cos (+ x eps)) (cos x)))
(FPCore (x eps)
 :precision binary64
 (let* ((t_0 (sin (* 0.5 eps))))
   (*
    -2.0
    (* t_0 (fma (sin (* 0.5 (+ x x))) (cos (* 0.5 eps)) (* (cos x) t_0))))))
double code(double x, double eps) {
	return cos((x + eps)) - cos(x);
}
double code(double x, double eps) {
	double t_0 = sin((0.5 * eps));
	return -2.0 * (t_0 * fma(sin((0.5 * (x + x))), cos((0.5 * eps)), (cos(x) * t_0)));
}
function code(x, eps)
	return Float64(cos(Float64(x + eps)) - cos(x))
end
function code(x, eps)
	t_0 = sin(Float64(0.5 * eps))
	return Float64(-2.0 * Float64(t_0 * fma(sin(Float64(0.5 * Float64(x + x))), cos(Float64(0.5 * eps)), Float64(cos(x) * t_0))))
end
code[x_, eps_] := N[(N[Cos[N[(x + eps), $MachinePrecision]], $MachinePrecision] - N[Cos[x], $MachinePrecision]), $MachinePrecision]
code[x_, eps_] := Block[{t$95$0 = N[Sin[N[(0.5 * eps), $MachinePrecision]], $MachinePrecision]}, N[(-2.0 * N[(t$95$0 * N[(N[Sin[N[(0.5 * N[(x + x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(0.5 * eps), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\cos \left(x + \varepsilon\right) - \cos x
\begin{array}{l}
t_0 := \sin \left(0.5 \cdot \varepsilon\right)\\
-2 \cdot \left(t_0 \cdot \mathsf{fma}\left(\sin \left(0.5 \cdot \left(x + x\right)\right), \cos \left(0.5 \cdot \varepsilon\right), \cos x \cdot t_0\right)\right)
\end{array}

Local Percentage Accuracy?

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.

Herbie found 14 alternatives:

AlternativeAccuracySpeedup

Accuracy vs Speed

The accuracy (vertical axis) and speed (horizontal axis) of each of Herbie's proposed alternatives. Up and to the right is better. Each dot represents an alternative program; the red square represents the initial program.

Bogosity?

Bogosity

Derivation?

  1. Initial program 42.5%

    \[\cos \left(x + \varepsilon\right) - \cos x \]
  2. Applied egg-rr50.0%

    \[\leadsto \color{blue}{-2 \cdot \left(\sin \left(\left(\left(x + \varepsilon\right) - x\right) \cdot 0.5\right) \cdot \sin \left(\left(x + \left(x + \varepsilon\right)\right) \cdot 0.5\right)\right)} \]
    Step-by-step derivation

    [Start]42.5

    \[ \cos \left(x + \varepsilon\right) - \cos x \]

    diff-cos [=>]50.0

    \[ \color{blue}{-2 \cdot \left(\sin \left(\frac{\left(x + \varepsilon\right) - x}{2}\right) \cdot \sin \left(\frac{\left(x + \varepsilon\right) + x}{2}\right)\right)} \]

    div-inv [=>]50.0

    \[ -2 \cdot \left(\sin \color{blue}{\left(\left(\left(x + \varepsilon\right) - x\right) \cdot \frac{1}{2}\right)} \cdot \sin \left(\frac{\left(x + \varepsilon\right) + x}{2}\right)\right) \]

    metadata-eval [=>]50.0

    \[ -2 \cdot \left(\sin \left(\left(\left(x + \varepsilon\right) - x\right) \cdot \color{blue}{0.5}\right) \cdot \sin \left(\frac{\left(x + \varepsilon\right) + x}{2}\right)\right) \]

    div-inv [=>]50.0

    \[ -2 \cdot \left(\sin \left(\left(\left(x + \varepsilon\right) - x\right) \cdot 0.5\right) \cdot \sin \color{blue}{\left(\left(\left(x + \varepsilon\right) + x\right) \cdot \frac{1}{2}\right)}\right) \]

    +-commutative [=>]50.0

    \[ -2 \cdot \left(\sin \left(\left(\left(x + \varepsilon\right) - x\right) \cdot 0.5\right) \cdot \sin \left(\color{blue}{\left(x + \left(x + \varepsilon\right)\right)} \cdot \frac{1}{2}\right)\right) \]

    metadata-eval [=>]50.0

    \[ -2 \cdot \left(\sin \left(\left(\left(x + \varepsilon\right) - x\right) \cdot 0.5\right) \cdot \sin \left(\left(x + \left(x + \varepsilon\right)\right) \cdot \color{blue}{0.5}\right)\right) \]
  3. Simplified74.7%

    \[\leadsto \color{blue}{-2 \cdot \left(\sin \left(0.5 \cdot \varepsilon + 0\right) \cdot \sin \left(0.5 \cdot \left(x + \left(\varepsilon + x\right)\right)\right)\right)} \]
    Step-by-step derivation

    [Start]50.0

    \[ -2 \cdot \left(\sin \left(\left(\left(x + \varepsilon\right) - x\right) \cdot 0.5\right) \cdot \sin \left(\left(x + \left(x + \varepsilon\right)\right) \cdot 0.5\right)\right) \]

    *-commutative [=>]50.0

    \[ -2 \cdot \left(\sin \color{blue}{\left(0.5 \cdot \left(\left(x + \varepsilon\right) - x\right)\right)} \cdot \sin \left(\left(x + \left(x + \varepsilon\right)\right) \cdot 0.5\right)\right) \]

    +-commutative [<=]50.0

    \[ -2 \cdot \left(\sin \left(0.5 \cdot \left(\color{blue}{\left(\varepsilon + x\right)} - x\right)\right) \cdot \sin \left(\left(x + \left(x + \varepsilon\right)\right) \cdot 0.5\right)\right) \]

    associate--l+ [=>]74.7

    \[ -2 \cdot \left(\sin \left(0.5 \cdot \color{blue}{\left(\varepsilon + \left(x - x\right)\right)}\right) \cdot \sin \left(\left(x + \left(x + \varepsilon\right)\right) \cdot 0.5\right)\right) \]

    +-inverses [=>]74.7

    \[ -2 \cdot \left(\sin \left(0.5 \cdot \left(\varepsilon + \color{blue}{0}\right)\right) \cdot \sin \left(\left(x + \left(x + \varepsilon\right)\right) \cdot 0.5\right)\right) \]

    distribute-lft-in [=>]74.7

    \[ -2 \cdot \left(\sin \color{blue}{\left(0.5 \cdot \varepsilon + 0.5 \cdot 0\right)} \cdot \sin \left(\left(x + \left(x + \varepsilon\right)\right) \cdot 0.5\right)\right) \]

    metadata-eval [=>]74.7

    \[ -2 \cdot \left(\sin \left(0.5 \cdot \varepsilon + \color{blue}{0}\right) \cdot \sin \left(\left(x + \left(x + \varepsilon\right)\right) \cdot 0.5\right)\right) \]

    *-commutative [=>]74.7

    \[ -2 \cdot \left(\sin \left(0.5 \cdot \varepsilon + 0\right) \cdot \sin \color{blue}{\left(0.5 \cdot \left(x + \left(x + \varepsilon\right)\right)\right)}\right) \]

    +-commutative [<=]74.7

    \[ -2 \cdot \left(\sin \left(0.5 \cdot \varepsilon + 0\right) \cdot \sin \left(0.5 \cdot \left(x + \color{blue}{\left(\varepsilon + x\right)}\right)\right)\right) \]
  4. Applied egg-rr43.5%

    \[\leadsto -2 \cdot \left(\sin \left(0.5 \cdot \varepsilon + 0\right) \cdot \sin \left(0.5 \cdot \color{blue}{{\left(\sqrt[3]{x + \left(x + \varepsilon\right)}\right)}^{3}}\right)\right) \]
    Step-by-step derivation

    [Start]74.7

    \[ -2 \cdot \left(\sin \left(0.5 \cdot \varepsilon + 0\right) \cdot \sin \left(0.5 \cdot \left(x + \left(\varepsilon + x\right)\right)\right)\right) \]

    add-cube-cbrt [=>]42.9

    \[ -2 \cdot \left(\sin \left(0.5 \cdot \varepsilon + 0\right) \cdot \sin \left(0.5 \cdot \color{blue}{\left(\left(\sqrt[3]{x + \left(\varepsilon + x\right)} \cdot \sqrt[3]{x + \left(\varepsilon + x\right)}\right) \cdot \sqrt[3]{x + \left(\varepsilon + x\right)}\right)}\right)\right) \]

    pow3 [=>]43.5

    \[ -2 \cdot \left(\sin \left(0.5 \cdot \varepsilon + 0\right) \cdot \sin \left(0.5 \cdot \color{blue}{{\left(\sqrt[3]{x + \left(\varepsilon + x\right)}\right)}^{3}}\right)\right) \]

    +-commutative [=>]43.5

    \[ -2 \cdot \left(\sin \left(0.5 \cdot \varepsilon + 0\right) \cdot \sin \left(0.5 \cdot {\left(\sqrt[3]{x + \color{blue}{\left(x + \varepsilon\right)}}\right)}^{3}\right)\right) \]
  5. Applied egg-rr99.4%

    \[\leadsto -2 \cdot \left(\sin \left(0.5 \cdot \varepsilon + 0\right) \cdot \color{blue}{\left(\sin \left(0.5 \cdot \left(x + x\right)\right) \cdot \cos \left(0.5 \cdot \varepsilon\right) + \cos \left(0.5 \cdot \left(x + x\right)\right) \cdot \sin \left(0.5 \cdot \varepsilon\right)\right)}\right) \]
    Step-by-step derivation

    [Start]43.5

    \[ -2 \cdot \left(\sin \left(0.5 \cdot \varepsilon + 0\right) \cdot \sin \left(0.5 \cdot {\left(\sqrt[3]{x + \left(x + \varepsilon\right)}\right)}^{3}\right)\right) \]

    unpow3 [=>]42.9

    \[ -2 \cdot \left(\sin \left(0.5 \cdot \varepsilon + 0\right) \cdot \sin \left(0.5 \cdot \color{blue}{\left(\left(\sqrt[3]{x + \left(x + \varepsilon\right)} \cdot \sqrt[3]{x + \left(x + \varepsilon\right)}\right) \cdot \sqrt[3]{x + \left(x + \varepsilon\right)}\right)}\right)\right) \]

    add-cube-cbrt [<=]74.7

    \[ -2 \cdot \left(\sin \left(0.5 \cdot \varepsilon + 0\right) \cdot \sin \left(0.5 \cdot \color{blue}{\left(x + \left(x + \varepsilon\right)\right)}\right)\right) \]

    associate-+r+ [=>]74.6

    \[ -2 \cdot \left(\sin \left(0.5 \cdot \varepsilon + 0\right) \cdot \sin \left(0.5 \cdot \color{blue}{\left(\left(x + x\right) + \varepsilon\right)}\right)\right) \]

    distribute-lft-in [=>]74.6

    \[ -2 \cdot \left(\sin \left(0.5 \cdot \varepsilon + 0\right) \cdot \sin \color{blue}{\left(0.5 \cdot \left(x + x\right) + 0.5 \cdot \varepsilon\right)}\right) \]

    sin-sum [=>]99.4

    \[ -2 \cdot \left(\sin \left(0.5 \cdot \varepsilon + 0\right) \cdot \color{blue}{\left(\sin \left(0.5 \cdot \left(x + x\right)\right) \cdot \cos \left(0.5 \cdot \varepsilon\right) + \cos \left(0.5 \cdot \left(x + x\right)\right) \cdot \sin \left(0.5 \cdot \varepsilon\right)\right)}\right) \]
  6. Simplified99.4%

    \[\leadsto -2 \cdot \left(\sin \left(0.5 \cdot \varepsilon + 0\right) \cdot \color{blue}{\mathsf{fma}\left(\sin \left(0.5 \cdot \left(x + x\right)\right), \cos \left(0.5 \cdot \varepsilon\right), \sin \left(0.5 \cdot \varepsilon\right) \cdot \cos \left(0.5 \cdot \left(x + x\right)\right)\right)}\right) \]
    Step-by-step derivation

    [Start]99.4

    \[ -2 \cdot \left(\sin \left(0.5 \cdot \varepsilon + 0\right) \cdot \left(\sin \left(0.5 \cdot \left(x + x\right)\right) \cdot \cos \left(0.5 \cdot \varepsilon\right) + \cos \left(0.5 \cdot \left(x + x\right)\right) \cdot \sin \left(0.5 \cdot \varepsilon\right)\right)\right) \]

    fma-def [=>]99.4

    \[ -2 \cdot \left(\sin \left(0.5 \cdot \varepsilon + 0\right) \cdot \color{blue}{\mathsf{fma}\left(\sin \left(0.5 \cdot \left(x + x\right)\right), \cos \left(0.5 \cdot \varepsilon\right), \cos \left(0.5 \cdot \left(x + x\right)\right) \cdot \sin \left(0.5 \cdot \varepsilon\right)\right)}\right) \]

    *-commutative [=>]99.4

    \[ -2 \cdot \left(\sin \left(0.5 \cdot \varepsilon + 0\right) \cdot \mathsf{fma}\left(\sin \left(0.5 \cdot \left(x + x\right)\right), \cos \left(0.5 \cdot \varepsilon\right), \color{blue}{\sin \left(0.5 \cdot \varepsilon\right) \cdot \cos \left(0.5 \cdot \left(x + x\right)\right)}\right)\right) \]
  7. Taylor expanded in eps around inf 99.4%

    \[\leadsto -2 \cdot \left(\sin \left(0.5 \cdot \varepsilon + 0\right) \cdot \mathsf{fma}\left(\sin \left(0.5 \cdot \left(x + x\right)\right), \cos \left(0.5 \cdot \varepsilon\right), \color{blue}{\cos x \cdot \sin \left(0.5 \cdot \varepsilon\right)}\right)\right) \]
  8. Final simplification99.4%

    \[\leadsto -2 \cdot \left(\sin \left(0.5 \cdot \varepsilon\right) \cdot \mathsf{fma}\left(\sin \left(0.5 \cdot \left(x + x\right)\right), \cos \left(0.5 \cdot \varepsilon\right), \cos x \cdot \sin \left(0.5 \cdot \varepsilon\right)\right)\right) \]

Alternatives

Alternative 1
Accuracy99.4%
Cost33088
\[\begin{array}{l} t_0 := \sin \left(0.5 \cdot \varepsilon\right)\\ -2 \cdot \left(t_0 \cdot \left(\cos x \cdot t_0 + \cos \left(0.5 \cdot \varepsilon\right) \cdot \sin x\right)\right) \end{array} \]
Alternative 2
Accuracy99.0%
Cost32776
\[\begin{array}{l} t_0 := \sin \left(0.5 \cdot \varepsilon\right)\\ t_1 := \cos x \cdot \left(\cos \varepsilon + -1\right)\\ \mathbf{if}\;x \leq -3.9 \cdot 10^{-48}:\\ \;\;\;\;t_1 - \sin x \cdot \sin \varepsilon\\ \mathbf{elif}\;x \leq 1.5 \cdot 10^{-8}:\\ \;\;\;\;-2 \cdot \left(t_0 \cdot \left(t_0 + x \cdot \cos \left(0.5 \cdot \varepsilon\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(-\sin x, \sin \varepsilon, t_1\right)\\ \end{array} \]
Alternative 3
Accuracy99.0%
Cost26441
\[\begin{array}{l} t_0 := \sin \left(0.5 \cdot \varepsilon\right)\\ \mathbf{if}\;x \leq -2.8 \cdot 10^{-48} \lor \neg \left(x \leq 2.25 \cdot 10^{-9}\right):\\ \;\;\;\;\cos x \cdot \left(\cos \varepsilon + -1\right) - \sin x \cdot \sin \varepsilon\\ \mathbf{else}:\\ \;\;\;\;-2 \cdot \left(t_0 \cdot \left(t_0 + x \cdot \cos \left(0.5 \cdot \varepsilon\right)\right)\right)\\ \end{array} \]
Alternative 4
Accuracy77.6%
Cost13769
\[\begin{array}{l} \mathbf{if}\;\varepsilon \leq -0.009 \lor \neg \left(\varepsilon \leq 0.0152\right):\\ \;\;\;\;\cos \varepsilon - \cos x\\ \mathbf{else}:\\ \;\;\;\;-0.5 \cdot \left(\varepsilon \cdot \left(\varepsilon \cdot \cos x\right)\right) - \varepsilon \cdot \sin x\\ \end{array} \]
Alternative 5
Accuracy76.9%
Cost13632
\[-2 \cdot \left(\sin \left(0.5 \cdot \varepsilon\right) \cdot \sin \left(0.5 \cdot \left(\varepsilon - -2 \cdot x\right)\right)\right) \]
Alternative 6
Accuracy76.9%
Cost13632
\[-2 \cdot \left(\sin \left(0.5 \cdot \varepsilon\right) \cdot \sin \left(0.5 \cdot \left(x + \left(\varepsilon + x\right)\right)\right)\right) \]
Alternative 7
Accuracy70.6%
Cost13513
\[\begin{array}{l} \mathbf{if}\;x \leq -4.2 \cdot 10^{-48} \lor \neg \left(x \leq 8.5 \cdot 10^{-29}\right):\\ \;\;\;\;-2 \cdot \left(\sin \left(0.5 \cdot \varepsilon\right) \cdot \sin x\right)\\ \mathbf{else}:\\ \;\;\;\;\sin \varepsilon \cdot \tan \left(\frac{-\varepsilon}{2}\right)\\ \end{array} \]
Alternative 8
Accuracy67.3%
Cost13449
\[\begin{array}{l} \mathbf{if}\;\varepsilon \leq -3.7 \cdot 10^{-72} \lor \neg \left(\varepsilon \leq 3.2 \cdot 10^{-36}\right):\\ \;\;\;\;-2 \cdot {\sin \left(0.5 \cdot \varepsilon\right)}^{2}\\ \mathbf{else}:\\ \;\;\;\;\varepsilon \cdot \left(-\sin x\right)\\ \end{array} \]
Alternative 9
Accuracy67.4%
Cost13449
\[\begin{array}{l} \mathbf{if}\;\varepsilon \leq -2 \cdot 10^{-73} \lor \neg \left(\varepsilon \leq 1.38 \cdot 10^{-36}\right):\\ \;\;\;\;\sin \varepsilon \cdot \tan \left(\frac{-\varepsilon}{2}\right)\\ \mathbf{else}:\\ \;\;\;\;\varepsilon \cdot \left(-\sin x\right)\\ \end{array} \]
Alternative 10
Accuracy67.9%
Cost13388
\[\begin{array}{l} t_0 := \cos \varepsilon - \cos x\\ \mathbf{if}\;\varepsilon \leq -0.0078:\\ \;\;\;\;t_0\\ \mathbf{elif}\;\varepsilon \leq -6.5 \cdot 10^{-71}:\\ \;\;\;\;-0.5 \cdot \left(\varepsilon \cdot \varepsilon\right)\\ \mathbf{elif}\;\varepsilon \leq 1.1 \cdot 10^{-6}:\\ \;\;\;\;\varepsilon \cdot \left(-\sin x\right)\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]
Alternative 11
Accuracy67.1%
Cost7052
\[\begin{array}{l} t_0 := \cos \varepsilon + -1\\ \mathbf{if}\;\varepsilon \leq -0.0078:\\ \;\;\;\;t_0\\ \mathbf{elif}\;\varepsilon \leq -3.1 \cdot 10^{-72}:\\ \;\;\;\;-0.5 \cdot \left(\varepsilon \cdot \varepsilon\right)\\ \mathbf{elif}\;\varepsilon \leq 2.25 \cdot 10^{-7}:\\ \;\;\;\;\varepsilon \cdot \left(-\sin x\right)\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]
Alternative 12
Accuracy47.2%
Cost6857
\[\begin{array}{l} \mathbf{if}\;\varepsilon \leq -0.0078 \lor \neg \left(\varepsilon \leq 2.4 \cdot 10^{-13}\right):\\ \;\;\;\;\cos \varepsilon + -1\\ \mathbf{else}:\\ \;\;\;\;-0.5 \cdot \left(\varepsilon \cdot \varepsilon\right)\\ \end{array} \]
Alternative 13
Accuracy22.2%
Cost320
\[-0.5 \cdot \left(\varepsilon \cdot \varepsilon\right) \]

Reproduce?

herbie shell --seed 2023161 
(FPCore (x eps)
  :name "2cos (problem 3.3.5)"
  :precision binary64
  (- (cos (+ x eps)) (cos x)))