
(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 16 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 (* (* (sin (/ eps 2.0)) (sin (/ (+ eps (* 2.0 x)) 2.0))) -2.0))
double code(double x, double eps) {
return (sin((eps / 2.0)) * sin(((eps + (2.0 * x)) / 2.0))) * -2.0;
}
real(8) function code(x, eps)
real(8), intent (in) :: x
real(8), intent (in) :: eps
code = (sin((eps / 2.0d0)) * sin(((eps + (2.0d0 * x)) / 2.0d0))) * (-2.0d0)
end function
public static double code(double x, double eps) {
return (Math.sin((eps / 2.0)) * Math.sin(((eps + (2.0 * x)) / 2.0))) * -2.0;
}
def code(x, eps): return (math.sin((eps / 2.0)) * math.sin(((eps + (2.0 * x)) / 2.0))) * -2.0
function code(x, eps) return Float64(Float64(sin(Float64(eps / 2.0)) * sin(Float64(Float64(eps + Float64(2.0 * x)) / 2.0))) * -2.0) end
function tmp = code(x, eps) tmp = (sin((eps / 2.0)) * sin(((eps + (2.0 * x)) / 2.0))) * -2.0; end
code[x_, eps_] := N[(N[(N[Sin[N[(eps / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(N[(eps + N[(2.0 * x), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * -2.0), $MachinePrecision]
\begin{array}{l}
\\
\left(\sin \left(\frac{\varepsilon}{2}\right) \cdot \sin \left(\frac{\varepsilon + 2 \cdot x}{2}\right)\right) \cdot -2
\end{array}
Initial program 57.6%
diff-cosN/A
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr99.7%
Final simplification99.7%
(FPCore (x eps)
:precision binary64
(let* ((t_0
(+
(*
(* eps eps)
(*
eps
(*
eps
(+
0.00026041666666666666
(* eps (* eps -1.5500992063492063e-6))))))
0.5)))
(*
-2.0
(*
(sin (/ (+ eps (* 2.0 x)) 2.0))
(*
eps
(/
(- (* t_0 t_0) (* (* eps (* eps (* eps eps))) 0.00043402777777777775))
(- t_0 (* (* eps eps) -0.020833333333333332))))))))
double code(double x, double eps) {
double t_0 = ((eps * eps) * (eps * (eps * (0.00026041666666666666 + (eps * (eps * -1.5500992063492063e-6)))))) + 0.5;
return -2.0 * (sin(((eps + (2.0 * x)) / 2.0)) * (eps * (((t_0 * t_0) - ((eps * (eps * (eps * eps))) * 0.00043402777777777775)) / (t_0 - ((eps * eps) * -0.020833333333333332)))));
}
real(8) function code(x, eps)
real(8), intent (in) :: x
real(8), intent (in) :: eps
real(8) :: t_0
t_0 = ((eps * eps) * (eps * (eps * (0.00026041666666666666d0 + (eps * (eps * (-1.5500992063492063d-6))))))) + 0.5d0
code = (-2.0d0) * (sin(((eps + (2.0d0 * x)) / 2.0d0)) * (eps * (((t_0 * t_0) - ((eps * (eps * (eps * eps))) * 0.00043402777777777775d0)) / (t_0 - ((eps * eps) * (-0.020833333333333332d0))))))
end function
public static double code(double x, double eps) {
double t_0 = ((eps * eps) * (eps * (eps * (0.00026041666666666666 + (eps * (eps * -1.5500992063492063e-6)))))) + 0.5;
return -2.0 * (Math.sin(((eps + (2.0 * x)) / 2.0)) * (eps * (((t_0 * t_0) - ((eps * (eps * (eps * eps))) * 0.00043402777777777775)) / (t_0 - ((eps * eps) * -0.020833333333333332)))));
}
def code(x, eps): t_0 = ((eps * eps) * (eps * (eps * (0.00026041666666666666 + (eps * (eps * -1.5500992063492063e-6)))))) + 0.5 return -2.0 * (math.sin(((eps + (2.0 * x)) / 2.0)) * (eps * (((t_0 * t_0) - ((eps * (eps * (eps * eps))) * 0.00043402777777777775)) / (t_0 - ((eps * eps) * -0.020833333333333332)))))
function code(x, eps) t_0 = Float64(Float64(Float64(eps * eps) * Float64(eps * Float64(eps * Float64(0.00026041666666666666 + Float64(eps * Float64(eps * -1.5500992063492063e-6)))))) + 0.5) return Float64(-2.0 * Float64(sin(Float64(Float64(eps + Float64(2.0 * x)) / 2.0)) * Float64(eps * Float64(Float64(Float64(t_0 * t_0) - Float64(Float64(eps * Float64(eps * Float64(eps * eps))) * 0.00043402777777777775)) / Float64(t_0 - Float64(Float64(eps * eps) * -0.020833333333333332)))))) end
function tmp = code(x, eps) t_0 = ((eps * eps) * (eps * (eps * (0.00026041666666666666 + (eps * (eps * -1.5500992063492063e-6)))))) + 0.5; tmp = -2.0 * (sin(((eps + (2.0 * x)) / 2.0)) * (eps * (((t_0 * t_0) - ((eps * (eps * (eps * eps))) * 0.00043402777777777775)) / (t_0 - ((eps * eps) * -0.020833333333333332))))); end
code[x_, eps_] := Block[{t$95$0 = N[(N[(N[(eps * eps), $MachinePrecision] * N[(eps * N[(eps * N[(0.00026041666666666666 + N[(eps * N[(eps * -1.5500992063492063e-6), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision]}, N[(-2.0 * N[(N[Sin[N[(N[(eps + N[(2.0 * x), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision] * N[(eps * N[(N[(N[(t$95$0 * t$95$0), $MachinePrecision] - N[(N[(eps * N[(eps * N[(eps * eps), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 0.00043402777777777775), $MachinePrecision]), $MachinePrecision] / N[(t$95$0 - N[(N[(eps * eps), $MachinePrecision] * -0.020833333333333332), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(\varepsilon \cdot \varepsilon\right) \cdot \left(\varepsilon \cdot \left(\varepsilon \cdot \left(0.00026041666666666666 + \varepsilon \cdot \left(\varepsilon \cdot -1.5500992063492063 \cdot 10^{-6}\right)\right)\right)\right) + 0.5\\
-2 \cdot \left(\sin \left(\frac{\varepsilon + 2 \cdot x}{2}\right) \cdot \left(\varepsilon \cdot \frac{t\_0 \cdot t\_0 - \left(\varepsilon \cdot \left(\varepsilon \cdot \left(\varepsilon \cdot \varepsilon\right)\right)\right) \cdot 0.00043402777777777775}{t\_0 - \left(\varepsilon \cdot \varepsilon\right) \cdot -0.020833333333333332}\right)\right)
\end{array}
\end{array}
Initial program 57.6%
diff-cosN/A
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr99.7%
Taylor expanded in eps around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.4%
Simplified99.4%
+-commutativeN/A
distribute-lft-inN/A
associate-+l+N/A
*-commutativeN/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
Applied egg-rr99.4%
+-commutativeN/A
flip-+N/A
/-lowering-/.f64N/A
Applied egg-rr99.4%
Final simplification99.4%
(FPCore (x eps)
:precision binary64
(*
-2.0
(*
(sin (/ (+ eps (* 2.0 x)) 2.0))
(*
eps
(+
(* (* eps eps) -0.020833333333333332)
(+
0.5
(*
(* eps eps)
(*
eps
(*
eps
(+
0.00026041666666666666
(* (* eps eps) -1.5500992063492063e-6)))))))))))
double code(double x, double eps) {
return -2.0 * (sin(((eps + (2.0 * x)) / 2.0)) * (eps * (((eps * eps) * -0.020833333333333332) + (0.5 + ((eps * eps) * (eps * (eps * (0.00026041666666666666 + ((eps * eps) * -1.5500992063492063e-6)))))))));
}
real(8) function code(x, eps)
real(8), intent (in) :: x
real(8), intent (in) :: eps
code = (-2.0d0) * (sin(((eps + (2.0d0 * x)) / 2.0d0)) * (eps * (((eps * eps) * (-0.020833333333333332d0)) + (0.5d0 + ((eps * eps) * (eps * (eps * (0.00026041666666666666d0 + ((eps * eps) * (-1.5500992063492063d-6))))))))))
end function
public static double code(double x, double eps) {
return -2.0 * (Math.sin(((eps + (2.0 * x)) / 2.0)) * (eps * (((eps * eps) * -0.020833333333333332) + (0.5 + ((eps * eps) * (eps * (eps * (0.00026041666666666666 + ((eps * eps) * -1.5500992063492063e-6)))))))));
}
def code(x, eps): return -2.0 * (math.sin(((eps + (2.0 * x)) / 2.0)) * (eps * (((eps * eps) * -0.020833333333333332) + (0.5 + ((eps * eps) * (eps * (eps * (0.00026041666666666666 + ((eps * eps) * -1.5500992063492063e-6)))))))))
function code(x, eps) return Float64(-2.0 * Float64(sin(Float64(Float64(eps + Float64(2.0 * x)) / 2.0)) * Float64(eps * Float64(Float64(Float64(eps * eps) * -0.020833333333333332) + Float64(0.5 + Float64(Float64(eps * eps) * Float64(eps * Float64(eps * Float64(0.00026041666666666666 + Float64(Float64(eps * eps) * -1.5500992063492063e-6)))))))))) end
function tmp = code(x, eps) tmp = -2.0 * (sin(((eps + (2.0 * x)) / 2.0)) * (eps * (((eps * eps) * -0.020833333333333332) + (0.5 + ((eps * eps) * (eps * (eps * (0.00026041666666666666 + ((eps * eps) * -1.5500992063492063e-6))))))))); end
code[x_, eps_] := N[(-2.0 * N[(N[Sin[N[(N[(eps + N[(2.0 * x), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision] * N[(eps * N[(N[(N[(eps * eps), $MachinePrecision] * -0.020833333333333332), $MachinePrecision] + N[(0.5 + N[(N[(eps * eps), $MachinePrecision] * N[(eps * N[(eps * N[(0.00026041666666666666 + N[(N[(eps * eps), $MachinePrecision] * -1.5500992063492063e-6), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
-2 \cdot \left(\sin \left(\frac{\varepsilon + 2 \cdot x}{2}\right) \cdot \left(\varepsilon \cdot \left(\left(\varepsilon \cdot \varepsilon\right) \cdot -0.020833333333333332 + \left(0.5 + \left(\varepsilon \cdot \varepsilon\right) \cdot \left(\varepsilon \cdot \left(\varepsilon \cdot \left(0.00026041666666666666 + \left(\varepsilon \cdot \varepsilon\right) \cdot -1.5500992063492063 \cdot 10^{-6}\right)\right)\right)\right)\right)\right)\right)
\end{array}
Initial program 57.6%
diff-cosN/A
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr99.7%
Taylor expanded in eps around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.4%
Simplified99.4%
+-commutativeN/A
distribute-lft-inN/A
associate-+l+N/A
*-commutativeN/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
Applied egg-rr99.4%
Final simplification99.4%
(FPCore (x eps)
:precision binary64
(*
-2.0
(*
(sin (/ (+ eps (* 2.0 x)) 2.0))
(*
eps
(+
0.5
(*
(* eps eps)
(+
-0.020833333333333332
(*
(* eps eps)
(+
0.00026041666666666666
(* (* eps eps) -1.5500992063492063e-6))))))))))
double code(double x, double eps) {
return -2.0 * (sin(((eps + (2.0 * x)) / 2.0)) * (eps * (0.5 + ((eps * eps) * (-0.020833333333333332 + ((eps * eps) * (0.00026041666666666666 + ((eps * eps) * -1.5500992063492063e-6))))))));
}
real(8) function code(x, eps)
real(8), intent (in) :: x
real(8), intent (in) :: eps
code = (-2.0d0) * (sin(((eps + (2.0d0 * x)) / 2.0d0)) * (eps * (0.5d0 + ((eps * eps) * ((-0.020833333333333332d0) + ((eps * eps) * (0.00026041666666666666d0 + ((eps * eps) * (-1.5500992063492063d-6)))))))))
end function
public static double code(double x, double eps) {
return -2.0 * (Math.sin(((eps + (2.0 * x)) / 2.0)) * (eps * (0.5 + ((eps * eps) * (-0.020833333333333332 + ((eps * eps) * (0.00026041666666666666 + ((eps * eps) * -1.5500992063492063e-6))))))));
}
def code(x, eps): return -2.0 * (math.sin(((eps + (2.0 * x)) / 2.0)) * (eps * (0.5 + ((eps * eps) * (-0.020833333333333332 + ((eps * eps) * (0.00026041666666666666 + ((eps * eps) * -1.5500992063492063e-6))))))))
function code(x, eps) return Float64(-2.0 * Float64(sin(Float64(Float64(eps + Float64(2.0 * x)) / 2.0)) * Float64(eps * Float64(0.5 + Float64(Float64(eps * eps) * Float64(-0.020833333333333332 + Float64(Float64(eps * eps) * Float64(0.00026041666666666666 + Float64(Float64(eps * eps) * -1.5500992063492063e-6))))))))) end
function tmp = code(x, eps) tmp = -2.0 * (sin(((eps + (2.0 * x)) / 2.0)) * (eps * (0.5 + ((eps * eps) * (-0.020833333333333332 + ((eps * eps) * (0.00026041666666666666 + ((eps * eps) * -1.5500992063492063e-6)))))))); end
code[x_, eps_] := N[(-2.0 * N[(N[Sin[N[(N[(eps + N[(2.0 * x), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision] * N[(eps * N[(0.5 + N[(N[(eps * eps), $MachinePrecision] * N[(-0.020833333333333332 + N[(N[(eps * eps), $MachinePrecision] * N[(0.00026041666666666666 + N[(N[(eps * eps), $MachinePrecision] * -1.5500992063492063e-6), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
-2 \cdot \left(\sin \left(\frac{\varepsilon + 2 \cdot x}{2}\right) \cdot \left(\varepsilon \cdot \left(0.5 + \left(\varepsilon \cdot \varepsilon\right) \cdot \left(-0.020833333333333332 + \left(\varepsilon \cdot \varepsilon\right) \cdot \left(0.00026041666666666666 + \left(\varepsilon \cdot \varepsilon\right) \cdot -1.5500992063492063 \cdot 10^{-6}\right)\right)\right)\right)\right)
\end{array}
Initial program 57.6%
diff-cosN/A
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr99.7%
Taylor expanded in eps around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.4%
Simplified99.4%
Final simplification99.4%
(FPCore (x eps)
:precision binary64
(*
-2.0
(*
(sin (/ (+ eps (* 2.0 x)) 2.0))
(*
eps
(+
(* (* eps eps) -0.020833333333333332)
(+ 0.5 (* (* eps eps) (* (* eps eps) 0.00026041666666666666))))))))
double code(double x, double eps) {
return -2.0 * (sin(((eps + (2.0 * x)) / 2.0)) * (eps * (((eps * eps) * -0.020833333333333332) + (0.5 + ((eps * eps) * ((eps * eps) * 0.00026041666666666666))))));
}
real(8) function code(x, eps)
real(8), intent (in) :: x
real(8), intent (in) :: eps
code = (-2.0d0) * (sin(((eps + (2.0d0 * x)) / 2.0d0)) * (eps * (((eps * eps) * (-0.020833333333333332d0)) + (0.5d0 + ((eps * eps) * ((eps * eps) * 0.00026041666666666666d0))))))
end function
public static double code(double x, double eps) {
return -2.0 * (Math.sin(((eps + (2.0 * x)) / 2.0)) * (eps * (((eps * eps) * -0.020833333333333332) + (0.5 + ((eps * eps) * ((eps * eps) * 0.00026041666666666666))))));
}
def code(x, eps): return -2.0 * (math.sin(((eps + (2.0 * x)) / 2.0)) * (eps * (((eps * eps) * -0.020833333333333332) + (0.5 + ((eps * eps) * ((eps * eps) * 0.00026041666666666666))))))
function code(x, eps) return Float64(-2.0 * Float64(sin(Float64(Float64(eps + Float64(2.0 * x)) / 2.0)) * Float64(eps * Float64(Float64(Float64(eps * eps) * -0.020833333333333332) + Float64(0.5 + Float64(Float64(eps * eps) * Float64(Float64(eps * eps) * 0.00026041666666666666))))))) end
function tmp = code(x, eps) tmp = -2.0 * (sin(((eps + (2.0 * x)) / 2.0)) * (eps * (((eps * eps) * -0.020833333333333332) + (0.5 + ((eps * eps) * ((eps * eps) * 0.00026041666666666666)))))); end
code[x_, eps_] := N[(-2.0 * N[(N[Sin[N[(N[(eps + N[(2.0 * x), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision] * N[(eps * N[(N[(N[(eps * eps), $MachinePrecision] * -0.020833333333333332), $MachinePrecision] + N[(0.5 + N[(N[(eps * eps), $MachinePrecision] * N[(N[(eps * eps), $MachinePrecision] * 0.00026041666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
-2 \cdot \left(\sin \left(\frac{\varepsilon + 2 \cdot x}{2}\right) \cdot \left(\varepsilon \cdot \left(\left(\varepsilon \cdot \varepsilon\right) \cdot -0.020833333333333332 + \left(0.5 + \left(\varepsilon \cdot \varepsilon\right) \cdot \left(\left(\varepsilon \cdot \varepsilon\right) \cdot 0.00026041666666666666\right)\right)\right)\right)\right)
\end{array}
Initial program 57.6%
diff-cosN/A
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr99.7%
Taylor expanded in eps around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.4%
Simplified99.4%
+-commutativeN/A
distribute-lft-inN/A
associate-+l+N/A
*-commutativeN/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
Applied egg-rr99.4%
Taylor expanded in eps around 0
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.4%
Simplified99.4%
Final simplification99.4%
(FPCore (x eps)
:precision binary64
(*
-2.0
(*
(sin (/ (+ eps (* 2.0 x)) 2.0))
(*
eps
(+
0.5
(*
eps
(*
eps
(+ -0.020833333333333332 (* (* eps eps) 0.00026041666666666666)))))))))
double code(double x, double eps) {
return -2.0 * (sin(((eps + (2.0 * x)) / 2.0)) * (eps * (0.5 + (eps * (eps * (-0.020833333333333332 + ((eps * eps) * 0.00026041666666666666)))))));
}
real(8) function code(x, eps)
real(8), intent (in) :: x
real(8), intent (in) :: eps
code = (-2.0d0) * (sin(((eps + (2.0d0 * x)) / 2.0d0)) * (eps * (0.5d0 + (eps * (eps * ((-0.020833333333333332d0) + ((eps * eps) * 0.00026041666666666666d0)))))))
end function
public static double code(double x, double eps) {
return -2.0 * (Math.sin(((eps + (2.0 * x)) / 2.0)) * (eps * (0.5 + (eps * (eps * (-0.020833333333333332 + ((eps * eps) * 0.00026041666666666666)))))));
}
def code(x, eps): return -2.0 * (math.sin(((eps + (2.0 * x)) / 2.0)) * (eps * (0.5 + (eps * (eps * (-0.020833333333333332 + ((eps * eps) * 0.00026041666666666666)))))))
function code(x, eps) return Float64(-2.0 * Float64(sin(Float64(Float64(eps + Float64(2.0 * x)) / 2.0)) * Float64(eps * Float64(0.5 + Float64(eps * Float64(eps * Float64(-0.020833333333333332 + Float64(Float64(eps * eps) * 0.00026041666666666666)))))))) end
function tmp = code(x, eps) tmp = -2.0 * (sin(((eps + (2.0 * x)) / 2.0)) * (eps * (0.5 + (eps * (eps * (-0.020833333333333332 + ((eps * eps) * 0.00026041666666666666))))))); end
code[x_, eps_] := N[(-2.0 * N[(N[Sin[N[(N[(eps + N[(2.0 * x), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision] * N[(eps * N[(0.5 + N[(eps * N[(eps * N[(-0.020833333333333332 + N[(N[(eps * eps), $MachinePrecision] * 0.00026041666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
-2 \cdot \left(\sin \left(\frac{\varepsilon + 2 \cdot x}{2}\right) \cdot \left(\varepsilon \cdot \left(0.5 + \varepsilon \cdot \left(\varepsilon \cdot \left(-0.020833333333333332 + \left(\varepsilon \cdot \varepsilon\right) \cdot 0.00026041666666666666\right)\right)\right)\right)\right)
\end{array}
Initial program 57.6%
diff-cosN/A
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr99.7%
Taylor expanded in eps around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.4%
Simplified99.4%
Final simplification99.4%
(FPCore (x eps) :precision binary64 (* -2.0 (* (sin (/ (+ eps (* 2.0 x)) 2.0)) (* eps (+ 0.5 (* (* eps eps) -0.020833333333333332))))))
double code(double x, double eps) {
return -2.0 * (sin(((eps + (2.0 * x)) / 2.0)) * (eps * (0.5 + ((eps * eps) * -0.020833333333333332))));
}
real(8) function code(x, eps)
real(8), intent (in) :: x
real(8), intent (in) :: eps
code = (-2.0d0) * (sin(((eps + (2.0d0 * x)) / 2.0d0)) * (eps * (0.5d0 + ((eps * eps) * (-0.020833333333333332d0)))))
end function
public static double code(double x, double eps) {
return -2.0 * (Math.sin(((eps + (2.0 * x)) / 2.0)) * (eps * (0.5 + ((eps * eps) * -0.020833333333333332))));
}
def code(x, eps): return -2.0 * (math.sin(((eps + (2.0 * x)) / 2.0)) * (eps * (0.5 + ((eps * eps) * -0.020833333333333332))))
function code(x, eps) return Float64(-2.0 * Float64(sin(Float64(Float64(eps + Float64(2.0 * x)) / 2.0)) * Float64(eps * Float64(0.5 + Float64(Float64(eps * eps) * -0.020833333333333332))))) end
function tmp = code(x, eps) tmp = -2.0 * (sin(((eps + (2.0 * x)) / 2.0)) * (eps * (0.5 + ((eps * eps) * -0.020833333333333332)))); end
code[x_, eps_] := N[(-2.0 * N[(N[Sin[N[(N[(eps + N[(2.0 * x), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision] * N[(eps * N[(0.5 + N[(N[(eps * eps), $MachinePrecision] * -0.020833333333333332), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
-2 \cdot \left(\sin \left(\frac{\varepsilon + 2 \cdot x}{2}\right) \cdot \left(\varepsilon \cdot \left(0.5 + \left(\varepsilon \cdot \varepsilon\right) \cdot -0.020833333333333332\right)\right)\right)
\end{array}
Initial program 57.6%
diff-cosN/A
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr99.7%
Taylor expanded in eps around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.3%
Simplified99.3%
Final simplification99.3%
(FPCore (x eps) :precision binary64 (* (sin (+ x (* eps 0.5))) (- 0.0 eps)))
double code(double x, double eps) {
return sin((x + (eps * 0.5))) * (0.0 - eps);
}
real(8) function code(x, eps)
real(8), intent (in) :: x
real(8), intent (in) :: eps
code = sin((x + (eps * 0.5d0))) * (0.0d0 - eps)
end function
public static double code(double x, double eps) {
return Math.sin((x + (eps * 0.5))) * (0.0 - eps);
}
def code(x, eps): return math.sin((x + (eps * 0.5))) * (0.0 - eps)
function code(x, eps) return Float64(sin(Float64(x + Float64(eps * 0.5))) * Float64(0.0 - eps)) end
function tmp = code(x, eps) tmp = sin((x + (eps * 0.5))) * (0.0 - eps); end
code[x_, eps_] := N[(N[Sin[N[(x + N[(eps * 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(0.0 - eps), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sin \left(x + \varepsilon \cdot 0.5\right) \cdot \left(0 - \varepsilon\right)
\end{array}
Initial program 57.6%
diff-cosN/A
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr99.7%
Taylor expanded in eps around 0
*-commutativeN/A
*-lowering-*.f6499.1%
Simplified99.1%
Taylor expanded in eps around inf
mul-1-negN/A
*-commutativeN/A
distribute-rgt-neg-inN/A
mul-1-negN/A
*-lowering-*.f64N/A
metadata-evalN/A
cancel-sign-sub-invN/A
sin-lowering-sin.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
distribute-lft-inN/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
associate-*r*N/A
metadata-evalN/A
*-lowering-*.f64N/A
mul-1-negN/A
neg-sub0N/A
--lowering--.f6499.1%
Simplified99.1%
Final simplification99.1%
(FPCore (x eps) :precision binary64 (* eps (- (* eps -0.5) (sin x))))
double code(double x, double eps) {
return eps * ((eps * -0.5) - sin(x));
}
real(8) function code(x, eps)
real(8), intent (in) :: x
real(8), intent (in) :: eps
code = eps * ((eps * (-0.5d0)) - sin(x))
end function
public static double code(double x, double eps) {
return eps * ((eps * -0.5) - Math.sin(x));
}
def code(x, eps): return eps * ((eps * -0.5) - math.sin(x))
function code(x, eps) return Float64(eps * Float64(Float64(eps * -0.5) - sin(x))) end
function tmp = code(x, eps) tmp = eps * ((eps * -0.5) - sin(x)); end
code[x_, eps_] := N[(eps * N[(N[(eps * -0.5), $MachinePrecision] - N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\varepsilon \cdot \left(\varepsilon \cdot -0.5 - \sin x\right)
\end{array}
Initial program 57.6%
Taylor expanded in eps around 0
*-lowering-*.f64N/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sin-lowering-sin.f6499.2%
Simplified99.2%
Taylor expanded in x around 0
*-commutativeN/A
*-lowering-*.f6498.6%
Simplified98.6%
(FPCore (x eps) :precision binary64 (* eps (+ (* (+ (* x 0.16666666666666666) (* eps 0.25)) (* x x)) (- (* eps -0.5) x))))
double code(double x, double eps) {
return eps * ((((x * 0.16666666666666666) + (eps * 0.25)) * (x * x)) + ((eps * -0.5) - x));
}
real(8) function code(x, eps)
real(8), intent (in) :: x
real(8), intent (in) :: eps
code = eps * ((((x * 0.16666666666666666d0) + (eps * 0.25d0)) * (x * x)) + ((eps * (-0.5d0)) - x))
end function
public static double code(double x, double eps) {
return eps * ((((x * 0.16666666666666666) + (eps * 0.25)) * (x * x)) + ((eps * -0.5) - x));
}
def code(x, eps): return eps * ((((x * 0.16666666666666666) + (eps * 0.25)) * (x * x)) + ((eps * -0.5) - x))
function code(x, eps) return Float64(eps * Float64(Float64(Float64(Float64(x * 0.16666666666666666) + Float64(eps * 0.25)) * Float64(x * x)) + Float64(Float64(eps * -0.5) - x))) end
function tmp = code(x, eps) tmp = eps * ((((x * 0.16666666666666666) + (eps * 0.25)) * (x * x)) + ((eps * -0.5) - x)); end
code[x_, eps_] := N[(eps * N[(N[(N[(N[(x * 0.16666666666666666), $MachinePrecision] + N[(eps * 0.25), $MachinePrecision]), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision] + N[(N[(eps * -0.5), $MachinePrecision] - x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\varepsilon \cdot \left(\left(x \cdot 0.16666666666666666 + \varepsilon \cdot 0.25\right) \cdot \left(x \cdot x\right) + \left(\varepsilon \cdot -0.5 - x\right)\right)
\end{array}
Initial program 57.6%
Taylor expanded in eps around 0
*-lowering-*.f64N/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sin-lowering-sin.f6499.2%
Simplified99.2%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6498.0%
Simplified98.0%
distribute-lft-inN/A
associate-+r+N/A
*-commutativeN/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
*-commutativeN/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6498.0%
Applied egg-rr98.0%
Final simplification98.0%
(FPCore (x eps) :precision binary64 (* eps (+ (* eps -0.5) (* x (+ -1.0 (* x (+ (* x 0.16666666666666666) (* eps 0.25))))))))
double code(double x, double eps) {
return eps * ((eps * -0.5) + (x * (-1.0 + (x * ((x * 0.16666666666666666) + (eps * 0.25))))));
}
real(8) function code(x, eps)
real(8), intent (in) :: x
real(8), intent (in) :: eps
code = eps * ((eps * (-0.5d0)) + (x * ((-1.0d0) + (x * ((x * 0.16666666666666666d0) + (eps * 0.25d0))))))
end function
public static double code(double x, double eps) {
return eps * ((eps * -0.5) + (x * (-1.0 + (x * ((x * 0.16666666666666666) + (eps * 0.25))))));
}
def code(x, eps): return eps * ((eps * -0.5) + (x * (-1.0 + (x * ((x * 0.16666666666666666) + (eps * 0.25))))))
function code(x, eps) return Float64(eps * Float64(Float64(eps * -0.5) + Float64(x * Float64(-1.0 + Float64(x * Float64(Float64(x * 0.16666666666666666) + Float64(eps * 0.25))))))) end
function tmp = code(x, eps) tmp = eps * ((eps * -0.5) + (x * (-1.0 + (x * ((x * 0.16666666666666666) + (eps * 0.25)))))); end
code[x_, eps_] := N[(eps * N[(N[(eps * -0.5), $MachinePrecision] + N[(x * N[(-1.0 + N[(x * N[(N[(x * 0.16666666666666666), $MachinePrecision] + N[(eps * 0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\varepsilon \cdot \left(\varepsilon \cdot -0.5 + x \cdot \left(-1 + x \cdot \left(x \cdot 0.16666666666666666 + \varepsilon \cdot 0.25\right)\right)\right)
\end{array}
Initial program 57.6%
Taylor expanded in eps around 0
*-lowering-*.f64N/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sin-lowering-sin.f6499.2%
Simplified99.2%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6498.0%
Simplified98.0%
(FPCore (x eps) :precision binary64 (* eps (+ (* 0.16666666666666666 (* x (* x x))) (- (* eps -0.5) x))))
double code(double x, double eps) {
return eps * ((0.16666666666666666 * (x * (x * x))) + ((eps * -0.5) - x));
}
real(8) function code(x, eps)
real(8), intent (in) :: x
real(8), intent (in) :: eps
code = eps * ((0.16666666666666666d0 * (x * (x * x))) + ((eps * (-0.5d0)) - x))
end function
public static double code(double x, double eps) {
return eps * ((0.16666666666666666 * (x * (x * x))) + ((eps * -0.5) - x));
}
def code(x, eps): return eps * ((0.16666666666666666 * (x * (x * x))) + ((eps * -0.5) - x))
function code(x, eps) return Float64(eps * Float64(Float64(0.16666666666666666 * Float64(x * Float64(x * x))) + Float64(Float64(eps * -0.5) - x))) end
function tmp = code(x, eps) tmp = eps * ((0.16666666666666666 * (x * (x * x))) + ((eps * -0.5) - x)); end
code[x_, eps_] := N[(eps * N[(N[(0.16666666666666666 * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(eps * -0.5), $MachinePrecision] - x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\varepsilon \cdot \left(0.16666666666666666 \cdot \left(x \cdot \left(x \cdot x\right)\right) + \left(\varepsilon \cdot -0.5 - x\right)\right)
\end{array}
Initial program 57.6%
Taylor expanded in eps around 0
*-lowering-*.f64N/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sin-lowering-sin.f6499.2%
Simplified99.2%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6498.0%
Simplified98.0%
Taylor expanded in x around inf
*-commutativeN/A
*-lowering-*.f6497.9%
Simplified97.9%
distribute-rgt-inN/A
neg-mul-1N/A
associate-*r*N/A
*-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
neg-sub0N/A
--lowering--.f64N/A
associate-*l*N/A
pow3N/A
*-lowering-*.f64N/A
cube-unmultN/A
*-lowering-*.f64N/A
*-lowering-*.f6497.9%
Applied egg-rr97.9%
Final simplification97.9%
(FPCore (x eps) :precision binary64 (* eps (+ (* eps -0.5) (* x (+ -1.0 (* x (* x 0.16666666666666666)))))))
double code(double x, double eps) {
return eps * ((eps * -0.5) + (x * (-1.0 + (x * (x * 0.16666666666666666)))));
}
real(8) function code(x, eps)
real(8), intent (in) :: x
real(8), intent (in) :: eps
code = eps * ((eps * (-0.5d0)) + (x * ((-1.0d0) + (x * (x * 0.16666666666666666d0)))))
end function
public static double code(double x, double eps) {
return eps * ((eps * -0.5) + (x * (-1.0 + (x * (x * 0.16666666666666666)))));
}
def code(x, eps): return eps * ((eps * -0.5) + (x * (-1.0 + (x * (x * 0.16666666666666666)))))
function code(x, eps) return Float64(eps * Float64(Float64(eps * -0.5) + Float64(x * Float64(-1.0 + Float64(x * Float64(x * 0.16666666666666666)))))) end
function tmp = code(x, eps) tmp = eps * ((eps * -0.5) + (x * (-1.0 + (x * (x * 0.16666666666666666))))); end
code[x_, eps_] := N[(eps * N[(N[(eps * -0.5), $MachinePrecision] + N[(x * N[(-1.0 + N[(x * N[(x * 0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\varepsilon \cdot \left(\varepsilon \cdot -0.5 + x \cdot \left(-1 + x \cdot \left(x \cdot 0.16666666666666666\right)\right)\right)
\end{array}
Initial program 57.6%
Taylor expanded in eps around 0
*-lowering-*.f64N/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sin-lowering-sin.f6499.2%
Simplified99.2%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6498.0%
Simplified98.0%
Taylor expanded in x around inf
*-commutativeN/A
*-lowering-*.f6497.9%
Simplified97.9%
(FPCore (x eps) :precision binary64 (* eps (- (* eps -0.5) x)))
double code(double x, double eps) {
return eps * ((eps * -0.5) - x);
}
real(8) function code(x, eps)
real(8), intent (in) :: x
real(8), intent (in) :: eps
code = eps * ((eps * (-0.5d0)) - x)
end function
public static double code(double x, double eps) {
return eps * ((eps * -0.5) - x);
}
def code(x, eps): return eps * ((eps * -0.5) - x)
function code(x, eps) return Float64(eps * Float64(Float64(eps * -0.5) - x)) end
function tmp = code(x, eps) tmp = eps * ((eps * -0.5) - x); end
code[x_, eps_] := N[(eps * N[(N[(eps * -0.5), $MachinePrecision] - x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\varepsilon \cdot \left(\varepsilon \cdot -0.5 - x\right)
\end{array}
Initial program 57.6%
Taylor expanded in eps around 0
*-lowering-*.f64N/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sin-lowering-sin.f6499.2%
Simplified99.2%
Taylor expanded in x around 0
*-commutativeN/A
associate-*r*N/A
unpow2N/A
associate-*r*N/A
distribute-rgt-outN/A
*-lowering-*.f64N/A
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
*-commutativeN/A
*-lowering-*.f6497.3%
Simplified97.3%
(FPCore (x eps) :precision binary64 (* eps (* eps -0.5)))
double code(double x, double eps) {
return eps * (eps * -0.5);
}
real(8) function code(x, eps)
real(8), intent (in) :: x
real(8), intent (in) :: eps
code = eps * (eps * (-0.5d0))
end function
public static double code(double x, double eps) {
return eps * (eps * -0.5);
}
def code(x, eps): return eps * (eps * -0.5)
function code(x, eps) return Float64(eps * Float64(eps * -0.5)) end
function tmp = code(x, eps) tmp = eps * (eps * -0.5); end
code[x_, eps_] := N[(eps * N[(eps * -0.5), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\varepsilon \cdot \left(\varepsilon \cdot -0.5\right)
\end{array}
Initial program 57.6%
Taylor expanded in x around 0
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
cos-lowering-cos.f6456.0%
Simplified56.0%
Taylor expanded in eps around 0
*-commutativeN/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6457.2%
Simplified57.2%
(FPCore (x eps) :precision binary64 0.0)
double code(double x, double eps) {
return 0.0;
}
real(8) function code(x, eps)
real(8), intent (in) :: x
real(8), intent (in) :: eps
code = 0.0d0
end function
public static double code(double x, double eps) {
return 0.0;
}
def code(x, eps): return 0.0
function code(x, eps) return 0.0 end
function tmp = code(x, eps) tmp = 0.0; end
code[x_, eps_] := 0.0
\begin{array}{l}
\\
0
\end{array}
Initial program 57.6%
Taylor expanded in x around 0
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
cos-lowering-cos.f6456.0%
Simplified56.0%
Taylor expanded in eps around 0
Simplified55.9%
metadata-eval55.9%
Applied egg-rr55.9%
(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}
herbie shell --seed 2024158
(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))))
(- (cos (+ x eps)) (cos x)))