
(FPCore (x y) :precision binary64 (* x (- 1.0 y)))
double code(double x, double y) {
return x * (1.0 - y);
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = x * (1.0d0 - y)
end function
public static double code(double x, double y) {
return x * (1.0 - y);
}
def code(x, y): return x * (1.0 - y)
function code(x, y) return Float64(x * Float64(1.0 - y)) end
function tmp = code(x, y) tmp = x * (1.0 - y); end
code[x_, y_] := N[(x * N[(1.0 - y), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
x \cdot \left(1 - y\right)
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 2 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y) :precision binary64 (* x (- 1.0 y)))
double code(double x, double y) {
return x * (1.0 - y);
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = x * (1.0d0 - y)
end function
public static double code(double x, double y) {
return x * (1.0 - y);
}
def code(x, y): return x * (1.0 - y)
function code(x, y) return Float64(x * Float64(1.0 - y)) end
function tmp = code(x, y) tmp = x * (1.0 - y); end
code[x_, y_] := N[(x * N[(1.0 - y), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
x \cdot \left(1 - y\right)
\end{array}
(FPCore (x y) :precision binary64 (* x (- 1.0 y)))
double code(double x, double y) {
return x * (1.0 - y);
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = x * (1.0d0 - y)
end function
public static double code(double x, double y) {
return x * (1.0 - y);
}
def code(x, y): return x * (1.0 - y)
function code(x, y) return Float64(x * Float64(1.0 - y)) end
function tmp = code(x, y) tmp = x * (1.0 - y); end
code[x_, y_] := N[(x * N[(1.0 - y), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
x \cdot \left(1 - y\right)
\end{array}
Initial program 100.0%
(FPCore (x y) :precision binary64 (- 1.0 y))
double code(double x, double y) {
return 1.0 - y;
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = 1.0d0 - y
end function
public static double code(double x, double y) {
return 1.0 - y;
}
def code(x, y): return 1.0 - y
function code(x, y) return Float64(1.0 - y) end
function tmp = code(x, y) tmp = 1.0 - y; end
code[x_, y_] := N[(1.0 - y), $MachinePrecision]
\begin{array}{l}
\\
1 - y
\end{array}
Initial program 100.0%
Taylor expanded in y around 0
Applied rewrites3.2%
herbie shell --seed 2024321
(FPCore (x y)
:name "Data.Colour.RGBSpace.HSV:hsv from colour-2.3.3, H"
:precision binary64
:pre (TRUE)
(* x (- 1.0 y)))