
(FPCore (a x) :precision binary64 (- (exp (* a x)) 1.0))
double code(double a, double x) {
return exp((a * x)) - 1.0;
}
real(8) function code(a, x)
real(8), intent (in) :: a
real(8), intent (in) :: x
code = exp((a * x)) - 1.0d0
end function
public static double code(double a, double x) {
return Math.exp((a * x)) - 1.0;
}
def code(a, x): return math.exp((a * x)) - 1.0
function code(a, x) return Float64(exp(Float64(a * x)) - 1.0) end
function tmp = code(a, x) tmp = exp((a * x)) - 1.0; end
code[a_, x_] := N[(N[Exp[N[(a * x), $MachinePrecision]], $MachinePrecision] - 1.0), $MachinePrecision]
\begin{array}{l}
\\
e^{a \cdot x} - 1
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 6 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (a x) :precision binary64 (- (exp (* a x)) 1.0))
double code(double a, double x) {
return exp((a * x)) - 1.0;
}
real(8) function code(a, x)
real(8), intent (in) :: a
real(8), intent (in) :: x
code = exp((a * x)) - 1.0d0
end function
public static double code(double a, double x) {
return Math.exp((a * x)) - 1.0;
}
def code(a, x): return math.exp((a * x)) - 1.0
function code(a, x) return Float64(exp(Float64(a * x)) - 1.0) end
function tmp = code(a, x) tmp = exp((a * x)) - 1.0; end
code[a_, x_] := N[(N[Exp[N[(a * x), $MachinePrecision]], $MachinePrecision] - 1.0), $MachinePrecision]
\begin{array}{l}
\\
e^{a \cdot x} - 1
\end{array}
(FPCore (a x) :precision binary64 (expm1 (* a x)))
double code(double a, double x) {
return expm1((a * x));
}
public static double code(double a, double x) {
return Math.expm1((a * x));
}
def code(a, x): return math.expm1((a * x))
function code(a, x) return expm1(Float64(a * x)) end
code[a_, x_] := N[(Exp[N[(a * x), $MachinePrecision]] - 1), $MachinePrecision]
\begin{array}{l}
\\
\mathsf{expm1}\left(a \cdot x\right)
\end{array}
Initial program 55.0%
lift--.f64N/A
lift-exp.f64N/A
lower-expm1.f64100.0
lift-*.f64N/A
*-commutativeN/A
lower-*.f64100.0
Applied rewrites100.0%
Final simplification100.0%
(FPCore (a x)
:precision binary64
(if (<= (* a x) -5e+25)
(- (* (* (* (* a a) x) 0.5) x) 1.0)
(if (<= (* a x) -5.0)
(- (* (* (* (* x x) a) a) 0.5) 1.0)
(*
(*
(fma
(*
(fma
(fma (* 0.041666666666666664 x) a 0.16666666666666666)
(* a x)
0.5)
x)
a
1.0)
a)
x))))
double code(double a, double x) {
double tmp;
if ((a * x) <= -5e+25) {
tmp = ((((a * a) * x) * 0.5) * x) - 1.0;
} else if ((a * x) <= -5.0) {
tmp = ((((x * x) * a) * a) * 0.5) - 1.0;
} else {
tmp = (fma((fma(fma((0.041666666666666664 * x), a, 0.16666666666666666), (a * x), 0.5) * x), a, 1.0) * a) * x;
}
return tmp;
}
function code(a, x) tmp = 0.0 if (Float64(a * x) <= -5e+25) tmp = Float64(Float64(Float64(Float64(Float64(a * a) * x) * 0.5) * x) - 1.0); elseif (Float64(a * x) <= -5.0) tmp = Float64(Float64(Float64(Float64(Float64(x * x) * a) * a) * 0.5) - 1.0); else tmp = Float64(Float64(fma(Float64(fma(fma(Float64(0.041666666666666664 * x), a, 0.16666666666666666), Float64(a * x), 0.5) * x), a, 1.0) * a) * x); end return tmp end
code[a_, x_] := If[LessEqual[N[(a * x), $MachinePrecision], -5e+25], N[(N[(N[(N[(N[(a * a), $MachinePrecision] * x), $MachinePrecision] * 0.5), $MachinePrecision] * x), $MachinePrecision] - 1.0), $MachinePrecision], If[LessEqual[N[(a * x), $MachinePrecision], -5.0], N[(N[(N[(N[(N[(x * x), $MachinePrecision] * a), $MachinePrecision] * a), $MachinePrecision] * 0.5), $MachinePrecision] - 1.0), $MachinePrecision], N[(N[(N[(N[(N[(N[(N[(0.041666666666666664 * x), $MachinePrecision] * a + 0.16666666666666666), $MachinePrecision] * N[(a * x), $MachinePrecision] + 0.5), $MachinePrecision] * x), $MachinePrecision] * a + 1.0), $MachinePrecision] * a), $MachinePrecision] * x), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;a \cdot x \leq -5 \cdot 10^{+25}:\\
\;\;\;\;\left(\left(\left(a \cdot a\right) \cdot x\right) \cdot 0.5\right) \cdot x - 1\\
\mathbf{elif}\;a \cdot x \leq -5:\\
\;\;\;\;\left(\left(\left(x \cdot x\right) \cdot a\right) \cdot a\right) \cdot 0.5 - 1\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.041666666666666664 \cdot x, a, 0.16666666666666666\right), a \cdot x, 0.5\right) \cdot x, a, 1\right) \cdot a\right) \cdot x\\
\end{array}
\end{array}
if (*.f64 a x) < -5.00000000000000024e25Initial program 100.0%
Taylor expanded in a around 0
distribute-lft-inN/A
associate-*r*N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
distribute-rgt1-inN/A
*-commutativeN/A
associate-*r*N/A
distribute-rgt1-inN/A
associate-*r*N/A
associate-*l*N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
distribute-lft-inN/A
*-rgt-identityN/A
Applied rewrites0.8%
Taylor expanded in a around inf
Applied rewrites1.9%
if -5.00000000000000024e25 < (*.f64 a x) < -5Initial program 100.0%
Taylor expanded in a around 0
distribute-lft-inN/A
associate-*r*N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
distribute-rgt1-inN/A
*-commutativeN/A
associate-*r*N/A
distribute-rgt1-inN/A
associate-*r*N/A
associate-*l*N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
distribute-lft-inN/A
*-rgt-identityN/A
Applied rewrites10.3%
Taylor expanded in a around inf
Applied rewrites80.1%
Taylor expanded in a around 0
Applied rewrites0.7%
if -5 < (*.f64 a x) Initial program 31.4%
Taylor expanded in a around 0
Applied rewrites98.9%
Applied rewrites98.9%
Final simplification65.6%
(FPCore (a x)
:precision binary64
(if (<= (* a x) -5e+25)
(- (* (* (* (* a a) x) 0.5) x) 1.0)
(if (<= (* a x) -5.0)
(- (* (* (* (* x x) a) a) 0.5) 1.0)
(* (fma (* (fma (* 0.16666666666666666 x) a 0.5) a) x 1.0) (* a x)))))
double code(double a, double x) {
double tmp;
if ((a * x) <= -5e+25) {
tmp = ((((a * a) * x) * 0.5) * x) - 1.0;
} else if ((a * x) <= -5.0) {
tmp = ((((x * x) * a) * a) * 0.5) - 1.0;
} else {
tmp = fma((fma((0.16666666666666666 * x), a, 0.5) * a), x, 1.0) * (a * x);
}
return tmp;
}
function code(a, x) tmp = 0.0 if (Float64(a * x) <= -5e+25) tmp = Float64(Float64(Float64(Float64(Float64(a * a) * x) * 0.5) * x) - 1.0); elseif (Float64(a * x) <= -5.0) tmp = Float64(Float64(Float64(Float64(Float64(x * x) * a) * a) * 0.5) - 1.0); else tmp = Float64(fma(Float64(fma(Float64(0.16666666666666666 * x), a, 0.5) * a), x, 1.0) * Float64(a * x)); end return tmp end
code[a_, x_] := If[LessEqual[N[(a * x), $MachinePrecision], -5e+25], N[(N[(N[(N[(N[(a * a), $MachinePrecision] * x), $MachinePrecision] * 0.5), $MachinePrecision] * x), $MachinePrecision] - 1.0), $MachinePrecision], If[LessEqual[N[(a * x), $MachinePrecision], -5.0], N[(N[(N[(N[(N[(x * x), $MachinePrecision] * a), $MachinePrecision] * a), $MachinePrecision] * 0.5), $MachinePrecision] - 1.0), $MachinePrecision], N[(N[(N[(N[(N[(0.16666666666666666 * x), $MachinePrecision] * a + 0.5), $MachinePrecision] * a), $MachinePrecision] * x + 1.0), $MachinePrecision] * N[(a * x), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;a \cdot x \leq -5 \cdot 10^{+25}:\\
\;\;\;\;\left(\left(\left(a \cdot a\right) \cdot x\right) \cdot 0.5\right) \cdot x - 1\\
\mathbf{elif}\;a \cdot x \leq -5:\\
\;\;\;\;\left(\left(\left(x \cdot x\right) \cdot a\right) \cdot a\right) \cdot 0.5 - 1\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(\mathsf{fma}\left(0.16666666666666666 \cdot x, a, 0.5\right) \cdot a, x, 1\right) \cdot \left(a \cdot x\right)\\
\end{array}
\end{array}
if (*.f64 a x) < -5.00000000000000024e25Initial program 100.0%
Taylor expanded in a around 0
distribute-lft-inN/A
associate-*r*N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
distribute-rgt1-inN/A
*-commutativeN/A
associate-*r*N/A
distribute-rgt1-inN/A
associate-*r*N/A
associate-*l*N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
distribute-lft-inN/A
*-rgt-identityN/A
Applied rewrites0.8%
Taylor expanded in a around inf
Applied rewrites1.9%
if -5.00000000000000024e25 < (*.f64 a x) < -5Initial program 100.0%
Taylor expanded in a around 0
distribute-lft-inN/A
associate-*r*N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
distribute-rgt1-inN/A
*-commutativeN/A
associate-*r*N/A
distribute-rgt1-inN/A
associate-*r*N/A
associate-*l*N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
distribute-lft-inN/A
*-rgt-identityN/A
Applied rewrites10.3%
Taylor expanded in a around inf
Applied rewrites80.1%
Taylor expanded in a around 0
Applied rewrites0.7%
if -5 < (*.f64 a x) Initial program 31.4%
Taylor expanded in a around 0
Applied rewrites98.7%
Final simplification65.4%
(FPCore (a x)
:precision binary64
(if (<= (* a x) -5e+25)
(- (* (* (* (* a a) x) 0.5) x) 1.0)
(if (<= (* a x) -5.0)
(- (* (* (* (* x x) a) a) 0.5) 1.0)
(* (fma (* 0.5 a) x 1.0) (* a x)))))
double code(double a, double x) {
double tmp;
if ((a * x) <= -5e+25) {
tmp = ((((a * a) * x) * 0.5) * x) - 1.0;
} else if ((a * x) <= -5.0) {
tmp = ((((x * x) * a) * a) * 0.5) - 1.0;
} else {
tmp = fma((0.5 * a), x, 1.0) * (a * x);
}
return tmp;
}
function code(a, x) tmp = 0.0 if (Float64(a * x) <= -5e+25) tmp = Float64(Float64(Float64(Float64(Float64(a * a) * x) * 0.5) * x) - 1.0); elseif (Float64(a * x) <= -5.0) tmp = Float64(Float64(Float64(Float64(Float64(x * x) * a) * a) * 0.5) - 1.0); else tmp = Float64(fma(Float64(0.5 * a), x, 1.0) * Float64(a * x)); end return tmp end
code[a_, x_] := If[LessEqual[N[(a * x), $MachinePrecision], -5e+25], N[(N[(N[(N[(N[(a * a), $MachinePrecision] * x), $MachinePrecision] * 0.5), $MachinePrecision] * x), $MachinePrecision] - 1.0), $MachinePrecision], If[LessEqual[N[(a * x), $MachinePrecision], -5.0], N[(N[(N[(N[(N[(x * x), $MachinePrecision] * a), $MachinePrecision] * a), $MachinePrecision] * 0.5), $MachinePrecision] - 1.0), $MachinePrecision], N[(N[(N[(0.5 * a), $MachinePrecision] * x + 1.0), $MachinePrecision] * N[(a * x), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;a \cdot x \leq -5 \cdot 10^{+25}:\\
\;\;\;\;\left(\left(\left(a \cdot a\right) \cdot x\right) \cdot 0.5\right) \cdot x - 1\\
\mathbf{elif}\;a \cdot x \leq -5:\\
\;\;\;\;\left(\left(\left(x \cdot x\right) \cdot a\right) \cdot a\right) \cdot 0.5 - 1\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(0.5 \cdot a, x, 1\right) \cdot \left(a \cdot x\right)\\
\end{array}
\end{array}
if (*.f64 a x) < -5.00000000000000024e25Initial program 100.0%
Taylor expanded in a around 0
distribute-lft-inN/A
associate-*r*N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
distribute-rgt1-inN/A
*-commutativeN/A
associate-*r*N/A
distribute-rgt1-inN/A
associate-*r*N/A
associate-*l*N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
distribute-lft-inN/A
*-rgt-identityN/A
Applied rewrites0.8%
Taylor expanded in a around inf
Applied rewrites1.9%
if -5.00000000000000024e25 < (*.f64 a x) < -5Initial program 100.0%
Taylor expanded in a around 0
distribute-lft-inN/A
associate-*r*N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
distribute-rgt1-inN/A
*-commutativeN/A
associate-*r*N/A
distribute-rgt1-inN/A
associate-*r*N/A
associate-*l*N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
distribute-lft-inN/A
*-rgt-identityN/A
Applied rewrites10.3%
Taylor expanded in a around inf
Applied rewrites80.1%
Taylor expanded in a around 0
Applied rewrites0.7%
if -5 < (*.f64 a x) Initial program 31.4%
Taylor expanded in a around 0
Applied rewrites98.7%
Taylor expanded in a around 0
Applied rewrites98.3%
Final simplification65.1%
(FPCore (a x) :precision binary64 (* a x))
double code(double a, double x) {
return a * x;
}
real(8) function code(a, x)
real(8), intent (in) :: a
real(8), intent (in) :: x
code = a * x
end function
public static double code(double a, double x) {
return a * x;
}
def code(a, x): return a * x
function code(a, x) return Float64(a * x) end
function tmp = code(a, x) tmp = a * x; end
code[a_, x_] := N[(a * x), $MachinePrecision]
\begin{array}{l}
\\
a \cdot x
\end{array}
Initial program 55.0%
Taylor expanded in a around 0
*-commutativeN/A
lower-*.f6465.6
Applied rewrites65.6%
Final simplification65.6%
(FPCore (a x) :precision binary64 (- 1.0 1.0))
double code(double a, double x) {
return 1.0 - 1.0;
}
real(8) function code(a, x)
real(8), intent (in) :: a
real(8), intent (in) :: x
code = 1.0d0 - 1.0d0
end function
public static double code(double a, double x) {
return 1.0 - 1.0;
}
def code(a, x): return 1.0 - 1.0
function code(a, x) return Float64(1.0 - 1.0) end
function tmp = code(a, x) tmp = 1.0 - 1.0; end
code[a_, x_] := N[(1.0 - 1.0), $MachinePrecision]
\begin{array}{l}
\\
1 - 1
\end{array}
Initial program 55.0%
Taylor expanded in a around 0
Applied rewrites19.4%
(FPCore (a x) :precision binary64 (expm1 (* a x)))
double code(double a, double x) {
return expm1((a * x));
}
public static double code(double a, double x) {
return Math.expm1((a * x));
}
def code(a, x): return math.expm1((a * x))
function code(a, x) return expm1(Float64(a * x)) end
code[a_, x_] := N[(Exp[N[(a * x), $MachinePrecision]] - 1), $MachinePrecision]
\begin{array}{l}
\\
\mathsf{expm1}\left(a \cdot x\right)
\end{array}
herbie shell --seed 2024284
(FPCore (a x)
:name "expax (section 3.5)"
:precision binary64
:pre (> 710.0 (* a x))
:alt
(! :herbie-platform default (expm1 (* a x)))
(- (exp (* a x)) 1.0))