Average Error: 0.2 → 0.2
Time: 1.3s
Precision: binary64
\[\frac{x}{1 + \sqrt{x + 1}} \]
↓
\[\frac{x}{1 + \sqrt{x + 1}} \]
(FPCore (x) :precision binary64 (/ x (+ 1.0 (sqrt (+ x 1.0)))))
↓
(FPCore (x) :precision binary64 (/ x (+ 1.0 (sqrt (+ x 1.0)))))
double code(double x) {
	return x / (1.0 + sqrt((x + 1.0)));
}
↓
double code(double x) {
	return x / (1.0 + sqrt((x + 1.0)));
}

real(8) function code(x)
    real(8), intent (in) :: x
    code = x / (1.0d0 + sqrt((x + 1.0d0)))
end function
↓
real(8) function code(x)
    real(8), intent (in) :: x
    code = x / (1.0d0 + sqrt((x + 1.0d0)))
end function

public static double code(double x) {
	return x / (1.0 + Math.sqrt((x + 1.0)));
}
↓
public static double code(double x) {
	return x / (1.0 + Math.sqrt((x + 1.0)));
}

def code(x):
	return x / (1.0 + math.sqrt((x + 1.0)))
↓
def code(x):
	return x / (1.0 + math.sqrt((x + 1.0)))

function code(x)
	return Float64(x / Float64(1.0 + sqrt(Float64(x + 1.0))))
end
↓
function code(x)
	return Float64(x / Float64(1.0 + sqrt(Float64(x + 1.0))))
end

function tmp = code(x)
	tmp = x / (1.0 + sqrt((x + 1.0)));
end
↓
function tmp = code(x)
	tmp = x / (1.0 + sqrt((x + 1.0)));
end

code[x_] := N[(x / N[(1.0 + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
↓
code[x_] := N[(x / N[(1.0 + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

\frac{x}{1 + \sqrt{x + 1}}
↓
\frac{x}{1 + \sqrt{x + 1}}

Error

Bits error versus x

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.2

    \[\frac{x}{1 + \sqrt{x + 1}} \]

  2. Final simplification0.2

    \[\leadsto \frac{x}{1 + \sqrt{x + 1}} \]

Reproduce

herbie shell --seed 2022134 
(FPCore (x)
  :name "Numeric.Log:$clog1p from log-domain-0.10.2.1, B"
  :precision binary64
  (/ x (+ 1.0 (sqrt (+ x 1.0)))))