
(FPCore (x eps) :precision binary64 (- (cos (+ x eps)) (cos x)))
double code(double x, double eps) {
return cos((x + eps)) - cos(x);
}
real(8) function code(x, eps)
real(8), intent (in) :: x
real(8), intent (in) :: eps
code = cos((x + eps)) - cos(x)
end function
public static double code(double x, double eps) {
return Math.cos((x + eps)) - Math.cos(x);
}
def code(x, eps): return math.cos((x + eps)) - math.cos(x)
function code(x, eps) return Float64(cos(Float64(x + eps)) - cos(x)) end
function tmp = code(x, eps) tmp = cos((x + eps)) - cos(x); end
code[x_, eps_] := N[(N[Cos[N[(x + eps), $MachinePrecision]], $MachinePrecision] - N[Cos[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\cos \left(x + \varepsilon\right) - \cos x
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 15 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x eps) :precision binary64 (- (cos (+ x eps)) (cos x)))
double code(double x, double eps) {
return cos((x + eps)) - cos(x);
}
real(8) function code(x, eps)
real(8), intent (in) :: x
real(8), intent (in) :: eps
code = cos((x + eps)) - cos(x)
end function
public static double code(double x, double eps) {
return Math.cos((x + eps)) - Math.cos(x);
}
def code(x, eps): return math.cos((x + eps)) - math.cos(x)
function code(x, eps) return Float64(cos(Float64(x + eps)) - cos(x)) end
function tmp = code(x, eps) tmp = cos((x + eps)) - cos(x); end
code[x_, eps_] := N[(N[Cos[N[(x + eps), $MachinePrecision]], $MachinePrecision] - N[Cos[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\cos \left(x + \varepsilon\right) - \cos x
\end{array}
(FPCore (x eps)
:precision binary64
(let* ((t_0 (* 0.5 (+ x x))))
(*
(*
(sin (* eps 0.5))
(fma
(sin t_0)
(cos (* eps 0.5))
(*
(cos t_0)
(*
eps
(fma
(* eps eps)
(fma eps (* eps 0.00026041666666666666) -0.020833333333333332)
0.5)))))
-2.0)))
double code(double x, double eps) {
double t_0 = 0.5 * (x + x);
return (sin((eps * 0.5)) * fma(sin(t_0), cos((eps * 0.5)), (cos(t_0) * (eps * fma((eps * eps), fma(eps, (eps * 0.00026041666666666666), -0.020833333333333332), 0.5))))) * -2.0;
}
function code(x, eps) t_0 = Float64(0.5 * Float64(x + x)) return Float64(Float64(sin(Float64(eps * 0.5)) * fma(sin(t_0), cos(Float64(eps * 0.5)), Float64(cos(t_0) * Float64(eps * fma(Float64(eps * eps), fma(eps, Float64(eps * 0.00026041666666666666), -0.020833333333333332), 0.5))))) * -2.0) end
code[x_, eps_] := Block[{t$95$0 = N[(0.5 * N[(x + x), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[Sin[N[(eps * 0.5), $MachinePrecision]], $MachinePrecision] * N[(N[Sin[t$95$0], $MachinePrecision] * N[Cos[N[(eps * 0.5), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[t$95$0], $MachinePrecision] * N[(eps * N[(N[(eps * eps), $MachinePrecision] * N[(eps * N[(eps * 0.00026041666666666666), $MachinePrecision] + -0.020833333333333332), $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * -2.0), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \left(x + x\right)\\
\left(\sin \left(\varepsilon \cdot 0.5\right) \cdot \mathsf{fma}\left(\sin t\_0, \cos \left(\varepsilon \cdot 0.5\right), \cos t\_0 \cdot \left(\varepsilon \cdot \mathsf{fma}\left(\varepsilon \cdot \varepsilon, \mathsf{fma}\left(\varepsilon, \varepsilon \cdot 0.00026041666666666666, -0.020833333333333332\right), 0.5\right)\right)\right)\right) \cdot -2
\end{array}
\end{array}
Initial program 53.5%
lift--.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
diff-cosN/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites99.5%
lift-sin.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-+.f64N/A
lift-+.f64N/A
associate-+r+N/A
distribute-rgt-inN/A
+-rgt-identityN/A
lift-+.f64N/A
lift-*.f64N/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-+.f64N/A
lower-cos.f64N/A
lift-+.f64N/A
+-rgt-identityN/A
lift-sin.f64N/A
lower-*.f64N/A
Applied rewrites99.8%
Taylor expanded in eps around 0
lower-*.f64N/A
+-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
sub-negN/A
*-commutativeN/A
unpow2N/A
associate-*l*N/A
metadata-evalN/A
lower-fma.f64N/A
lower-*.f6499.8
Applied rewrites99.8%
lift-+.f64N/A
+-rgt-identity99.8
Applied rewrites99.8%
Final simplification99.8%
(FPCore (x eps)
:precision binary64
(*
-2.0
(*
(sin (* eps 0.5))
(fma
(sin (* 0.5 (+ x x)))
(cos (* eps 0.5))
(* eps (* (cos x) (fma -0.020833333333333332 (* eps eps) 0.5)))))))
double code(double x, double eps) {
return -2.0 * (sin((eps * 0.5)) * fma(sin((0.5 * (x + x))), cos((eps * 0.5)), (eps * (cos(x) * fma(-0.020833333333333332, (eps * eps), 0.5)))));
}
function code(x, eps) return Float64(-2.0 * Float64(sin(Float64(eps * 0.5)) * fma(sin(Float64(0.5 * Float64(x + x))), cos(Float64(eps * 0.5)), Float64(eps * Float64(cos(x) * fma(-0.020833333333333332, Float64(eps * eps), 0.5)))))) end
code[x_, eps_] := N[(-2.0 * N[(N[Sin[N[(eps * 0.5), $MachinePrecision]], $MachinePrecision] * N[(N[Sin[N[(0.5 * N[(x + x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(eps * 0.5), $MachinePrecision]], $MachinePrecision] + N[(eps * N[(N[Cos[x], $MachinePrecision] * N[(-0.020833333333333332 * N[(eps * eps), $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
-2 \cdot \left(\sin \left(\varepsilon \cdot 0.5\right) \cdot \mathsf{fma}\left(\sin \left(0.5 \cdot \left(x + x\right)\right), \cos \left(\varepsilon \cdot 0.5\right), \varepsilon \cdot \left(\cos x \cdot \mathsf{fma}\left(-0.020833333333333332, \varepsilon \cdot \varepsilon, 0.5\right)\right)\right)\right)
\end{array}
Initial program 52.0%
lift--.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
diff-cosN/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites99.6%
lift-sin.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-+.f64N/A
lift-+.f64N/A
associate-+r+N/A
distribute-rgt-inN/A
+-rgt-identityN/A
lift-+.f64N/A
lift-*.f64N/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-+.f64N/A
lower-cos.f64N/A
lift-+.f64N/A
+-rgt-identityN/A
lift-sin.f64N/A
lower-*.f64N/A
Applied rewrites99.8%
Taylor expanded in eps around 0
*-commutativeN/A
unpow2N/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
associate-*r*N/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
unpow2N/A
*-commutativeN/A
distribute-rgt-outN/A
+-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
+-commutativeN/A
Applied rewrites99.5%
Final simplification99.5%
(FPCore (x eps) :precision binary64 (* (* -2.0 (sin (+ x (/ eps 2.0)))) (sin (/ eps 2.0))))
double code(double x, double eps) {
return (-2.0 * sin((x + (eps / 2.0)))) * sin((eps / 2.0));
}
real(8) function code(x, eps)
real(8), intent (in) :: x
real(8), intent (in) :: eps
code = ((-2.0d0) * sin((x + (eps / 2.0d0)))) * sin((eps / 2.0d0))
end function
public static double code(double x, double eps) {
return (-2.0 * Math.sin((x + (eps / 2.0)))) * Math.sin((eps / 2.0));
}
def code(x, eps): return (-2.0 * math.sin((x + (eps / 2.0)))) * math.sin((eps / 2.0))
function code(x, eps) return Float64(Float64(-2.0 * sin(Float64(x + Float64(eps / 2.0)))) * sin(Float64(eps / 2.0))) end
function tmp = code(x, eps) tmp = (-2.0 * sin((x + (eps / 2.0)))) * sin((eps / 2.0)); end
code[x_, eps_] := N[(N[(-2.0 * N[Sin[N[(x + N[(eps / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sin[N[(eps / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(-2 \cdot \sin \left(x + \frac{\varepsilon}{2}\right)\right) \cdot \sin \left(\frac{\varepsilon}{2}\right)
\end{array}
(FPCore (x eps) :precision binary64 (pow (cbrt (* (* -2.0 (sin (* 0.5 (fma 2.0 x eps)))) (sin (* 0.5 eps)))) 3.0))
double code(double x, double eps) {
return pow(cbrt(((-2.0 * sin((0.5 * fma(2.0, x, eps)))) * sin((0.5 * eps)))), 3.0);
}
function code(x, eps) return cbrt(Float64(Float64(-2.0 * sin(Float64(0.5 * fma(2.0, x, eps)))) * sin(Float64(0.5 * eps)))) ^ 3.0 end
code[x_, eps_] := N[Power[N[Power[N[(N[(-2.0 * N[Sin[N[(0.5 * N[(2.0 * x + eps), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sin[N[(0.5 * eps), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision], 3.0], $MachinePrecision]
\begin{array}{l}
\\
{\left(\sqrt[3]{\left(-2 \cdot \sin \left(0.5 \cdot \mathsf{fma}\left(2, x, \varepsilon\right)\right)\right) \cdot \sin \left(0.5 \cdot \varepsilon\right)}\right)}^{3}
\end{array}
herbie shell --seed 2024223
(FPCore (x eps)
:name "2cos (problem 3.3.5)"
:precision binary64
:pre (and (and (and (<= -10000.0 x) (<= x 10000.0)) (< (* 1e-16 (fabs x)) eps)) (< eps (fabs x)))
:alt
(! :herbie-platform default (* -2 (sin (+ x (/ eps 2))) (sin (/ eps 2))))
:alt
(! :herbie-platform default (pow (cbrt (* -2 (sin (* 1/2 (fma 2 x eps))) (sin (* 1/2 eps)))) 3))
(- (cos (+ x eps)) (cos x)))