Average Error: 0.0 → 0.0
Time: 3.3s
Precision: binary64
\[x \cdot e^{y \cdot y} \]
\[x \cdot {\left(e^{y}\right)}^{y} \]
(FPCore (x y) :precision binary64 (* x (exp (* y y))))
(FPCore (x y) :precision binary64 (* x (pow (exp y) y)))
double code(double x, double y) {
	return x * exp((y * y));
}
double code(double x, double y) {
	return x * pow(exp(y), y);
}
real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = x * exp((y * y))
end function
real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = x * (exp(y) ** y)
end function
public static double code(double x, double y) {
	return x * Math.exp((y * y));
}
public static double code(double x, double y) {
	return x * Math.pow(Math.exp(y), y);
}
def code(x, y):
	return x * math.exp((y * y))
def code(x, y):
	return x * math.pow(math.exp(y), y)
function code(x, y)
	return Float64(x * exp(Float64(y * y)))
end
function code(x, y)
	return Float64(x * (exp(y) ^ y))
end
function tmp = code(x, y)
	tmp = x * exp((y * y));
end
function tmp = code(x, y)
	tmp = x * (exp(y) ^ y);
end
code[x_, y_] := N[(x * N[Exp[N[(y * y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
code[x_, y_] := N[(x * N[Power[N[Exp[y], $MachinePrecision], y], $MachinePrecision]), $MachinePrecision]
x \cdot e^{y \cdot y}
x \cdot {\left(e^{y}\right)}^{y}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original0.0
Target0.0
Herbie0.0
\[x \cdot {\left(e^{y}\right)}^{y} \]

Derivation

  1. Initial program 0.0

    \[x \cdot e^{y \cdot y} \]
  2. Simplified0.0

    \[\leadsto \color{blue}{x \cdot {\left(e^{y}\right)}^{y}} \]
  3. Final simplification0.0

    \[\leadsto x \cdot {\left(e^{y}\right)}^{y} \]

Reproduce

herbie shell --seed 2022150 
(FPCore (x y)
  :name "Data.Number.Erf:$dmerfcx from erf-2.0.0.0"
  :precision binary64

  :herbie-target
  (* x (pow (exp y) y))

  (* x (exp (* y y))))