?

\[x \cdot e^{y \cdot y} \]

↓

\[\frac{x}{e^{-{y}^{2}}} \]

(FPCore (x y) :precision binary64 (* x (exp (* y y))))

↓

(FPCore (x y) :precision binary64 (/ x (exp (- (pow y 2.0)))))

double code(double x, double y) {
	return x * exp((y * y));
}

↓

double code(double x, double y) {
	return x / exp(-pow(y, 2.0));
}

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 ** 2.0d0))
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.exp(-Math.pow(y, 2.0));
}

def code(x, y):
	return x * math.exp((y * y))

↓

def code(x, y):
	return x / math.exp(-math.pow(y, 2.0))

function code(x, y)
	return Float64(x * exp(Float64(y * y)))
end

↓

function code(x, y)
	return Float64(x / exp(Float64(-(y ^ 2.0))))
end

function tmp = code(x, y)
	tmp = x * exp((y * y));
end

↓

function tmp = code(x, y)
	tmp = x / exp(-(y ^ 2.0));
end

code[x_, y_] := N[(x * N[Exp[N[(y * y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]

↓

code[x_, y_] := N[(x / N[Exp[(-N[Power[y, 2.0], $MachinePrecision])], $MachinePrecision]), $MachinePrecision]

x \cdot e^{y \cdot y}

↓

\frac{x}{e^{-{y}^{2}}}

Alternative 1
Error	0.0
Cost	6720

Alternative 2
Error	0.9
Cost	64

Error?

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