Average Error: 0.1 → 0.1
Time: 3.0s
Precision: binary64
\[\left(x \cdot \log y - z\right) - y \]
\[\left(x \cdot \log y - z\right) - y \]
(FPCore (x y z) :precision binary64 (- (- (* x (log y)) z) y))
(FPCore (x y z) :precision binary64 (- (- (* x (log y)) z) y))
double code(double x, double y, double z) {
	return ((x * log(y)) - z) - y;
}
double code(double x, double y, double z) {
	return ((x * log(y)) - z) - y;
}
real(8) function code(x, y, z)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    code = ((x * log(y)) - z) - y
end function
real(8) function code(x, y, z)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    code = ((x * log(y)) - z) - y
end function
public static double code(double x, double y, double z) {
	return ((x * Math.log(y)) - z) - y;
}
public static double code(double x, double y, double z) {
	return ((x * Math.log(y)) - z) - y;
}
def code(x, y, z):
	return ((x * math.log(y)) - z) - y
def code(x, y, z):
	return ((x * math.log(y)) - z) - y
function code(x, y, z)
	return Float64(Float64(Float64(x * log(y)) - z) - y)
end
function code(x, y, z)
	return Float64(Float64(Float64(x * log(y)) - z) - y)
end
function tmp = code(x, y, z)
	tmp = ((x * log(y)) - z) - y;
end
function tmp = code(x, y, z)
	tmp = ((x * log(y)) - z) - y;
end
code[x_, y_, z_] := N[(N[(N[(x * N[Log[y], $MachinePrecision]), $MachinePrecision] - z), $MachinePrecision] - y), $MachinePrecision]
code[x_, y_, z_] := N[(N[(N[(x * N[Log[y], $MachinePrecision]), $MachinePrecision] - z), $MachinePrecision] - y), $MachinePrecision]
\left(x \cdot \log y - z\right) - y
\left(x \cdot \log y - z\right) - y

Error

Bits error versus x

Bits error versus y

Bits error versus z

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.1

    \[\left(x \cdot \log y - z\right) - y \]
  2. Final simplification0.1

    \[\leadsto \left(x \cdot \log y - z\right) - y \]

Reproduce

herbie shell --seed 2022150 
(FPCore (x y z)
  :name "Statistics.Distribution.Poisson:$clogProbability from math-functions-0.1.5.2"
  :precision binary64
  (- (- (* x (log y)) z) y))