(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



Bits error versus x



Bits error versus y



Bits error versus z
Results
Initial program 0.1
Final simplification0.1
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))