Average Error: 36.8 → 0.4
Time: 14.0s
Precision: binary64
Cost: 59144
\[\tan \left(x + \varepsilon\right) - \tan x \]
\[\begin{array}{l} t_0 := \frac{\sin x}{\cos x}\\ t_1 := -\tan x\\ t_2 := \tan x + \tan \varepsilon\\ \mathbf{if}\;\varepsilon \leq -0.0005537219591504346:\\ \;\;\;\;\mathsf{fma}\left(t_2, \frac{1}{1 - \frac{\tan x \cdot \sin \varepsilon}{\cos \varepsilon}}, t_1\right)\\ \mathbf{elif}\;\varepsilon \leq 4.141214802207624 \cdot 10^{-10}:\\ \;\;\;\;\varepsilon \cdot \left(\left(1 + \frac{{\sin x}^{2}}{{\cos x}^{2}}\right) + \varepsilon \cdot \left(t_0 + {t_0}^{3}\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(t_2, \frac{1}{1 - \tan x \cdot \tan \varepsilon}, t_1\right)\\ \end{array} \]
(FPCore (x eps) :precision binary64 (- (tan (+ x eps)) (tan x)))
(FPCore (x eps)
 :precision binary64
 (let* ((t_0 (/ (sin x) (cos x)))
        (t_1 (- (tan x)))
        (t_2 (+ (tan x) (tan eps))))
   (if (<= eps -0.0005537219591504346)
     (fma t_2 (/ 1.0 (- 1.0 (/ (* (tan x) (sin eps)) (cos eps)))) t_1)
     (if (<= eps 4.141214802207624e-10)
       (*
        eps
        (+
         (+ 1.0 (/ (pow (sin x) 2.0) (pow (cos x) 2.0)))
         (* eps (+ t_0 (pow t_0 3.0)))))
       (fma t_2 (/ 1.0 (- 1.0 (* (tan x) (tan eps)))) t_1)))))
double code(double x, double eps) {
	return tan((x + eps)) - tan(x);
}
double code(double x, double eps) {
	double t_0 = sin(x) / cos(x);
	double t_1 = -tan(x);
	double t_2 = tan(x) + tan(eps);
	double tmp;
	if (eps <= -0.0005537219591504346) {
		tmp = fma(t_2, (1.0 / (1.0 - ((tan(x) * sin(eps)) / cos(eps)))), t_1);
	} else if (eps <= 4.141214802207624e-10) {
		tmp = eps * ((1.0 + (pow(sin(x), 2.0) / pow(cos(x), 2.0))) + (eps * (t_0 + pow(t_0, 3.0))));
	} else {
		tmp = fma(t_2, (1.0 / (1.0 - (tan(x) * tan(eps)))), t_1);
	}
	return tmp;
}
function code(x, eps)
	return Float64(tan(Float64(x + eps)) - tan(x))
end
function code(x, eps)
	t_0 = Float64(sin(x) / cos(x))
	t_1 = Float64(-tan(x))
	t_2 = Float64(tan(x) + tan(eps))
	tmp = 0.0
	if (eps <= -0.0005537219591504346)
		tmp = fma(t_2, Float64(1.0 / Float64(1.0 - Float64(Float64(tan(x) * sin(eps)) / cos(eps)))), t_1);
	elseif (eps <= 4.141214802207624e-10)
		tmp = Float64(eps * Float64(Float64(1.0 + Float64((sin(x) ^ 2.0) / (cos(x) ^ 2.0))) + Float64(eps * Float64(t_0 + (t_0 ^ 3.0)))));
	else
		tmp = fma(t_2, Float64(1.0 / Float64(1.0 - Float64(tan(x) * tan(eps)))), t_1);
	end
	return tmp
end
code[x_, eps_] := N[(N[Tan[N[(x + eps), $MachinePrecision]], $MachinePrecision] - N[Tan[x], $MachinePrecision]), $MachinePrecision]
code[x_, eps_] := Block[{t$95$0 = N[(N[Sin[x], $MachinePrecision] / N[Cos[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = (-N[Tan[x], $MachinePrecision])}, Block[{t$95$2 = N[(N[Tan[x], $MachinePrecision] + N[Tan[eps], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[eps, -0.0005537219591504346], N[(t$95$2 * N[(1.0 / N[(1.0 - N[(N[(N[Tan[x], $MachinePrecision] * N[Sin[eps], $MachinePrecision]), $MachinePrecision] / N[Cos[eps], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[eps, 4.141214802207624e-10], N[(eps * N[(N[(1.0 + N[(N[Power[N[Sin[x], $MachinePrecision], 2.0], $MachinePrecision] / N[Power[N[Cos[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(eps * N[(t$95$0 + N[Power[t$95$0, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$2 * N[(1.0 / N[(1.0 - N[(N[Tan[x], $MachinePrecision] * N[Tan[eps], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]]
\tan \left(x + \varepsilon\right) - \tan x
\begin{array}{l}
t_0 := \frac{\sin x}{\cos x}\\
t_1 := -\tan x\\
t_2 := \tan x + \tan \varepsilon\\
\mathbf{if}\;\varepsilon \leq -0.0005537219591504346:\\
\;\;\;\;\mathsf{fma}\left(t_2, \frac{1}{1 - \frac{\tan x \cdot \sin \varepsilon}{\cos \varepsilon}}, t_1\right)\\

\mathbf{elif}\;\varepsilon \leq 4.141214802207624 \cdot 10^{-10}:\\
\;\;\;\;\varepsilon \cdot \left(\left(1 + \frac{{\sin x}^{2}}{{\cos x}^{2}}\right) + \varepsilon \cdot \left(t_0 + {t_0}^{3}\right)\right)\\

\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(t_2, \frac{1}{1 - \tan x \cdot \tan \varepsilon}, t_1\right)\\


\end{array}

Error

Target

Original36.8
Target15.5
Herbie0.4
\[\frac{\sin \varepsilon}{\cos x \cdot \cos \left(x + \varepsilon\right)} \]

Derivation

  1. Split input into 3 regimes
  2. if eps < -5.53721959150434606e-4

    1. Initial program 29.9

      \[\tan \left(x + \varepsilon\right) - \tan x \]
    2. Applied egg-rr0.3

      \[\leadsto \color{blue}{\mathsf{fma}\left(\tan x + \tan \varepsilon, \frac{1}{1 - \tan x \cdot \tan \varepsilon}, -\tan x\right)} \]
    3. Applied egg-rr0.3

      \[\leadsto \mathsf{fma}\left(\tan x + \tan \varepsilon, \frac{1}{1 - \color{blue}{\frac{\sin \varepsilon \cdot \tan x}{\cos \varepsilon}}}, -\tan x\right) \]

    if -5.53721959150434606e-4 < eps < 4.141214802207624e-10

    1. Initial program 44.1

      \[\tan \left(x + \varepsilon\right) - \tan x \]
    2. Applied egg-rr43.6

      \[\leadsto \color{blue}{\mathsf{fma}\left(\tan x + \tan \varepsilon, \frac{1}{1 - \tan x \cdot \tan \varepsilon}, -\tan x\right)} \]
    3. Applied egg-rr43.6

      \[\leadsto \mathsf{fma}\left(\tan x + \tan \varepsilon, \frac{1}{1 - \color{blue}{\frac{\sin \varepsilon \cdot \tan x}{\cos \varepsilon}}}, -\tan x\right) \]
    4. Applied egg-rr43.6

      \[\leadsto \mathsf{fma}\left(\tan x + \tan \varepsilon, \frac{1}{1 - \color{blue}{\sqrt[3]{{\left(\tan x \cdot \tan \varepsilon\right)}^{3}}}}, -\tan x\right) \]
    5. Taylor expanded in eps around 0 0.4

      \[\leadsto \color{blue}{\left(\frac{\sin x}{\cos x} + \frac{{\sin x}^{3}}{{\cos x}^{3}}\right) \cdot {\varepsilon}^{2} + \varepsilon \cdot \left(1 + \frac{{\sin x}^{2}}{{\cos x}^{2}}\right)} \]
    6. Simplified0.4

      \[\leadsto \color{blue}{\varepsilon \cdot \left(\left(1 + \frac{{\sin x}^{2}}{{\cos x}^{2}}\right) + \left(\frac{\sin x}{\cos x} + {\left(\frac{\sin x}{\cos x}\right)}^{3}\right) \cdot \varepsilon\right)} \]

    if 4.141214802207624e-10 < eps

    1. Initial program 30.3

      \[\tan \left(x + \varepsilon\right) - \tan x \]
    2. Applied egg-rr0.5

      \[\leadsto \color{blue}{\mathsf{fma}\left(\tan x + \tan \varepsilon, \frac{1}{1 - \tan x \cdot \tan \varepsilon}, -\tan x\right)} \]
  3. Recombined 3 regimes into one program.
  4. Final simplification0.4

    \[\leadsto \begin{array}{l} \mathbf{if}\;\varepsilon \leq -0.0005537219591504346:\\ \;\;\;\;\mathsf{fma}\left(\tan x + \tan \varepsilon, \frac{1}{1 - \frac{\tan x \cdot \sin \varepsilon}{\cos \varepsilon}}, -\tan x\right)\\ \mathbf{elif}\;\varepsilon \leq 4.141214802207624 \cdot 10^{-10}:\\ \;\;\;\;\varepsilon \cdot \left(\left(1 + \frac{{\sin x}^{2}}{{\cos x}^{2}}\right) + \varepsilon \cdot \left(\frac{\sin x}{\cos x} + {\left(\frac{\sin x}{\cos x}\right)}^{3}\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(\tan x + \tan \varepsilon, \frac{1}{1 - \tan x \cdot \tan \varepsilon}, -\tan x\right)\\ \end{array} \]

Alternatives

Alternative 1
Error0.5
Cost45828
\[\begin{array}{l} t_0 := -\tan x\\ t_1 := \tan x + \tan \varepsilon\\ \mathbf{if}\;\varepsilon \leq -0.0005537219591504346:\\ \;\;\;\;\mathsf{fma}\left(t_1, \frac{1}{1 - \frac{\tan x \cdot \sin \varepsilon}{\cos \varepsilon}}, t_0\right)\\ \mathbf{elif}\;\varepsilon \leq 4.141214802207624 \cdot 10^{-10}:\\ \;\;\;\;\varepsilon + \varepsilon \cdot \frac{{\sin x}^{2}}{{\cos x}^{2}}\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(t_1, \frac{1}{1 - \tan x \cdot \tan \varepsilon}, t_0\right)\\ \end{array} \]
Alternative 2
Error0.5
Cost39432
\[\begin{array}{l} t_0 := \tan x + \tan \varepsilon\\ t_1 := 1 - \tan x \cdot \tan \varepsilon\\ \mathbf{if}\;\varepsilon \leq -0.0005537219591504346:\\ \;\;\;\;\frac{t_0}{t_1} - \tan x\\ \mathbf{elif}\;\varepsilon \leq 4.141214802207624 \cdot 10^{-10}:\\ \;\;\;\;\varepsilon + \varepsilon \cdot \frac{{\sin x}^{2}}{{\cos x}^{2}}\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(t_0, \frac{1}{t_1}, -\tan x\right)\\ \end{array} \]
Alternative 3
Error0.5
Cost32968
\[\begin{array}{l} t_0 := \frac{\tan x + \tan \varepsilon}{1 - \tan x \cdot \tan \varepsilon} - \tan x\\ \mathbf{if}\;\varepsilon \leq -0.0005537219591504346:\\ \;\;\;\;t_0\\ \mathbf{elif}\;\varepsilon \leq 4.141214802207624 \cdot 10^{-10}:\\ \;\;\;\;\varepsilon + \varepsilon \cdot \frac{{\sin x}^{2}}{{\cos x}^{2}}\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]
Alternative 4
Error14.9
Cost26440
\[\begin{array}{l} \mathbf{if}\;\varepsilon \leq -869.9913763468928:\\ \;\;\;\;\tan \varepsilon\\ \mathbf{elif}\;\varepsilon \leq 4.141214802207624 \cdot 10^{-10}:\\ \;\;\;\;\varepsilon + \varepsilon \cdot \frac{{\sin x}^{2}}{{\cos x}^{2}}\\ \mathbf{else}:\\ \;\;\;\;\tan \varepsilon\\ \end{array} \]
Alternative 5
Error14.9
Cost13448
\[\begin{array}{l} \mathbf{if}\;\varepsilon \leq -869.9913763468928:\\ \;\;\;\;\tan \varepsilon\\ \mathbf{elif}\;\varepsilon \leq 4.141214802207624 \cdot 10^{-10}:\\ \;\;\;\;\varepsilon + \varepsilon \cdot {\tan x}^{2}\\ \mathbf{else}:\\ \;\;\;\;\tan \varepsilon\\ \end{array} \]
Alternative 6
Error27.0
Cost6464
\[\tan \varepsilon \]
Alternative 7
Error44.1
Cost64
\[\varepsilon \]

Error

Reproduce

herbie shell --seed 2022228 
(FPCore (x eps)
  :name "2tan (problem 3.3.2)"
  :precision binary64

  :herbie-target
  (/ (sin eps) (* (cos x) (cos (+ x eps))))

  (- (tan (+ x eps)) (tan x)))