2isqrt (example 3.6)

?

Percentage Accurate: 69.3% → 99.8%
Time: 15.6s
Precision: binary64
Cost: 27012

?

\[\frac{1}{\sqrt{x}} - \frac{1}{\sqrt{x + 1}} \]
\[\begin{array}{l} \mathbf{if}\;\frac{1}{\sqrt{x}} + \frac{-1}{\sqrt{x + 1}} \leq 0:\\ \;\;\;\;\frac{{x}^{-0.5}}{x + \left(x + 1\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{{x}^{-0.5}}{\left(x + 1\right) + \sqrt{x + x \cdot x}}\\ \end{array} \]
(FPCore (x) :precision binary64 (- (/ 1.0 (sqrt x)) (/ 1.0 (sqrt (+ x 1.0)))))
(FPCore (x)
 :precision binary64
 (if (<= (+ (/ 1.0 (sqrt x)) (/ -1.0 (sqrt (+ x 1.0)))) 0.0)
   (/ (pow x -0.5) (+ x (+ x 1.0)))
   (/ (pow x -0.5) (+ (+ x 1.0) (sqrt (+ x (* x x)))))))
double code(double x) {
	return (1.0 / sqrt(x)) - (1.0 / sqrt((x + 1.0)));
}
double code(double x) {
	double tmp;
	if (((1.0 / sqrt(x)) + (-1.0 / sqrt((x + 1.0)))) <= 0.0) {
		tmp = pow(x, -0.5) / (x + (x + 1.0));
	} else {
		tmp = pow(x, -0.5) / ((x + 1.0) + sqrt((x + (x * x))));
	}
	return tmp;
}
real(8) function code(x)
    real(8), intent (in) :: x
    code = (1.0d0 / sqrt(x)) - (1.0d0 / sqrt((x + 1.0d0)))
end function
real(8) function code(x)
    real(8), intent (in) :: x
    real(8) :: tmp
    if (((1.0d0 / sqrt(x)) + ((-1.0d0) / sqrt((x + 1.0d0)))) <= 0.0d0) then
        tmp = (x ** (-0.5d0)) / (x + (x + 1.0d0))
    else
        tmp = (x ** (-0.5d0)) / ((x + 1.0d0) + sqrt((x + (x * x))))
    end if
    code = tmp
end function
public static double code(double x) {
	return (1.0 / Math.sqrt(x)) - (1.0 / Math.sqrt((x + 1.0)));
}
public static double code(double x) {
	double tmp;
	if (((1.0 / Math.sqrt(x)) + (-1.0 / Math.sqrt((x + 1.0)))) <= 0.0) {
		tmp = Math.pow(x, -0.5) / (x + (x + 1.0));
	} else {
		tmp = Math.pow(x, -0.5) / ((x + 1.0) + Math.sqrt((x + (x * x))));
	}
	return tmp;
}
def code(x):
	return (1.0 / math.sqrt(x)) - (1.0 / math.sqrt((x + 1.0)))
def code(x):
	tmp = 0
	if ((1.0 / math.sqrt(x)) + (-1.0 / math.sqrt((x + 1.0)))) <= 0.0:
		tmp = math.pow(x, -0.5) / (x + (x + 1.0))
	else:
		tmp = math.pow(x, -0.5) / ((x + 1.0) + math.sqrt((x + (x * x))))
	return tmp
function code(x)
	return Float64(Float64(1.0 / sqrt(x)) - Float64(1.0 / sqrt(Float64(x + 1.0))))
end
function code(x)
	tmp = 0.0
	if (Float64(Float64(1.0 / sqrt(x)) + Float64(-1.0 / sqrt(Float64(x + 1.0)))) <= 0.0)
		tmp = Float64((x ^ -0.5) / Float64(x + Float64(x + 1.0)));
	else
		tmp = Float64((x ^ -0.5) / Float64(Float64(x + 1.0) + sqrt(Float64(x + Float64(x * x)))));
	end
	return tmp
end
function tmp = code(x)
	tmp = (1.0 / sqrt(x)) - (1.0 / sqrt((x + 1.0)));
end
function tmp_2 = code(x)
	tmp = 0.0;
	if (((1.0 / sqrt(x)) + (-1.0 / sqrt((x + 1.0)))) <= 0.0)
		tmp = (x ^ -0.5) / (x + (x + 1.0));
	else
		tmp = (x ^ -0.5) / ((x + 1.0) + sqrt((x + (x * x))));
	end
	tmp_2 = tmp;
end
code[x_] := N[(N[(1.0 / N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(1.0 / N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
code[x_] := If[LessEqual[N[(N[(1.0 / N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(-1.0 / N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 0.0], N[(N[Power[x, -0.5], $MachinePrecision] / N[(x + N[(x + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Power[x, -0.5], $MachinePrecision] / N[(N[(x + 1.0), $MachinePrecision] + N[Sqrt[N[(x + N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\frac{1}{\sqrt{x}} - \frac{1}{\sqrt{x + 1}}
\begin{array}{l}
\mathbf{if}\;\frac{1}{\sqrt{x}} + \frac{-1}{\sqrt{x + 1}} \leq 0:\\
\;\;\;\;\frac{{x}^{-0.5}}{x + \left(x + 1\right)}\\

\mathbf{else}:\\
\;\;\;\;\frac{{x}^{-0.5}}{\left(x + 1\right) + \sqrt{x + x \cdot x}}\\


\end{array}

Local Percentage Accuracy vs ?

The average percentage accuracy by input value. Horizontal axis shows value of an input variable; the variable is choosen in the title. Vertical axis is accuracy; higher is better. Red represent the original program, while blue represents Herbie's suggestion. These can be toggled with buttons below the plot. The line is an average while dots represent individual samples.

Herbie found 16 alternatives:

AlternativeAccuracySpeedup

Accuracy vs Speed

The accuracy (vertical axis) and speed (horizontal axis) of each alternatives. Up and to the right is better. The red square shows the initial program, and each blue circle shows an alternative.The line shows the best available speed-accuracy tradeoffs.

Bogosity?

Bogosity

Try it out?

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original69.3%
Target99.0%
Herbie99.8%
\[\frac{1}{\left(x + 1\right) \cdot \sqrt{x} + x \cdot \sqrt{x + 1}} \]

Derivation?

  1. Split input into 2 regimes
  2. if (-.f64 (/.f64 1 (sqrt.f64 x)) (/.f64 1 (sqrt.f64 (+.f64 x 1)))) < 0.0

    1. Initial program 30.3%

      \[\frac{1}{\sqrt{x}} - \frac{1}{\sqrt{x + 1}} \]
    2. Applied egg-rr30.3%

      \[\leadsto \color{blue}{\left(\sqrt{1 + x} - \sqrt{x}\right) \cdot \frac{{x}^{-0.5}}{\sqrt{1 + x}}} \]
      Step-by-step derivation

      [Start]30.3%

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

      frac-sub [=>]30.3%

      \[ \color{blue}{\frac{1 \cdot \sqrt{x + 1} - \sqrt{x} \cdot 1}{\sqrt{x} \cdot \sqrt{x + 1}}} \]

      div-inv [=>]30.3%

      \[ \color{blue}{\left(1 \cdot \sqrt{x + 1} - \sqrt{x} \cdot 1\right) \cdot \frac{1}{\sqrt{x} \cdot \sqrt{x + 1}}} \]

      *-un-lft-identity [<=]30.3%

      \[ \left(\color{blue}{\sqrt{x + 1}} - \sqrt{x} \cdot 1\right) \cdot \frac{1}{\sqrt{x} \cdot \sqrt{x + 1}} \]

      +-commutative [=>]30.3%

      \[ \left(\sqrt{\color{blue}{1 + x}} - \sqrt{x} \cdot 1\right) \cdot \frac{1}{\sqrt{x} \cdot \sqrt{x + 1}} \]

      *-rgt-identity [=>]30.3%

      \[ \left(\sqrt{1 + x} - \color{blue}{\sqrt{x}}\right) \cdot \frac{1}{\sqrt{x} \cdot \sqrt{x + 1}} \]

      metadata-eval [<=]30.3%

      \[ \left(\sqrt{1 + x} - \sqrt{x}\right) \cdot \frac{\color{blue}{1 \cdot 1}}{\sqrt{x} \cdot \sqrt{x + 1}} \]

      frac-times [<=]30.3%

      \[ \left(\sqrt{1 + x} - \sqrt{x}\right) \cdot \color{blue}{\left(\frac{1}{\sqrt{x}} \cdot \frac{1}{\sqrt{x + 1}}\right)} \]

      un-div-inv [=>]30.3%

      \[ \left(\sqrt{1 + x} - \sqrt{x}\right) \cdot \color{blue}{\frac{\frac{1}{\sqrt{x}}}{\sqrt{x + 1}}} \]

      pow1/2 [=>]30.3%

      \[ \left(\sqrt{1 + x} - \sqrt{x}\right) \cdot \frac{\frac{1}{\color{blue}{{x}^{0.5}}}}{\sqrt{x + 1}} \]

      pow-flip [=>]30.3%

      \[ \left(\sqrt{1 + x} - \sqrt{x}\right) \cdot \frac{\color{blue}{{x}^{\left(-0.5\right)}}}{\sqrt{x + 1}} \]

      metadata-eval [=>]30.3%

      \[ \left(\sqrt{1 + x} - \sqrt{x}\right) \cdot \frac{{x}^{\color{blue}{-0.5}}}{\sqrt{x + 1}} \]

      +-commutative [=>]30.3%

      \[ \left(\sqrt{1 + x} - \sqrt{x}\right) \cdot \frac{{x}^{-0.5}}{\sqrt{\color{blue}{1 + x}}} \]
    3. Simplified30.3%

      \[\leadsto \color{blue}{\frac{\left(\sqrt{1 + x} - \sqrt{x}\right) \cdot {x}^{-0.5}}{\sqrt{1 + x}}} \]
      Step-by-step derivation

      [Start]30.3%

      \[ \left(\sqrt{1 + x} - \sqrt{x}\right) \cdot \frac{{x}^{-0.5}}{\sqrt{1 + x}} \]

      associate-*r/ [=>]30.3%

      \[ \color{blue}{\frac{\left(\sqrt{1 + x} - \sqrt{x}\right) \cdot {x}^{-0.5}}{\sqrt{1 + x}}} \]
    4. Applied egg-rr30.3%

      \[\leadsto \frac{\color{blue}{\frac{\left(1 + x\right) - x}{\sqrt{1 + x} + \sqrt{x}}} \cdot {x}^{-0.5}}{\sqrt{1 + x}} \]
      Step-by-step derivation

      [Start]30.3%

      \[ \frac{\left(\sqrt{1 + x} - \sqrt{x}\right) \cdot {x}^{-0.5}}{\sqrt{1 + x}} \]

      flip-- [=>]30.3%

      \[ \frac{\color{blue}{\frac{\sqrt{1 + x} \cdot \sqrt{1 + x} - \sqrt{x} \cdot \sqrt{x}}{\sqrt{1 + x} + \sqrt{x}}} \cdot {x}^{-0.5}}{\sqrt{1 + x}} \]

      add-sqr-sqrt [<=]13.5%

      \[ \frac{\frac{\color{blue}{\left(1 + x\right)} - \sqrt{x} \cdot \sqrt{x}}{\sqrt{1 + x} + \sqrt{x}} \cdot {x}^{-0.5}}{\sqrt{1 + x}} \]

      add-sqr-sqrt [<=]30.3%

      \[ \frac{\frac{\left(1 + x\right) - \color{blue}{x}}{\sqrt{1 + x} + \sqrt{x}} \cdot {x}^{-0.5}}{\sqrt{1 + x}} \]
    5. Simplified99.3%

      \[\leadsto \frac{\color{blue}{\frac{1}{\sqrt{1 + x} + \sqrt{x}}} \cdot {x}^{-0.5}}{\sqrt{1 + x}} \]
      Step-by-step derivation

      [Start]30.3%

      \[ \frac{\frac{\left(1 + x\right) - x}{\sqrt{1 + x} + \sqrt{x}} \cdot {x}^{-0.5}}{\sqrt{1 + x}} \]

      associate--l+ [=>]99.3%

      \[ \frac{\frac{\color{blue}{1 + \left(x - x\right)}}{\sqrt{1 + x} + \sqrt{x}} \cdot {x}^{-0.5}}{\sqrt{1 + x}} \]

      +-inverses [=>]99.3%

      \[ \frac{\frac{1 + \color{blue}{0}}{\sqrt{1 + x} + \sqrt{x}} \cdot {x}^{-0.5}}{\sqrt{1 + x}} \]

      metadata-eval [=>]99.3%

      \[ \frac{\frac{\color{blue}{1}}{\sqrt{1 + x} + \sqrt{x}} \cdot {x}^{-0.5}}{\sqrt{1 + x}} \]
    6. Applied egg-rr30.3%

      \[\leadsto \color{blue}{e^{\mathsf{log1p}\left(\frac{\frac{{x}^{-0.5}}{\sqrt{1 + x} + \sqrt{x}}}{\sqrt{1 + x}}\right)} - 1} \]
      Step-by-step derivation

      [Start]99.3%

      \[ \frac{\frac{1}{\sqrt{1 + x} + \sqrt{x}} \cdot {x}^{-0.5}}{\sqrt{1 + x}} \]

      expm1-log1p-u [=>]99.3%

      \[ \color{blue}{\mathsf{expm1}\left(\mathsf{log1p}\left(\frac{\frac{1}{\sqrt{1 + x} + \sqrt{x}} \cdot {x}^{-0.5}}{\sqrt{1 + x}}\right)\right)} \]

      expm1-udef [=>]30.3%

      \[ \color{blue}{e^{\mathsf{log1p}\left(\frac{\frac{1}{\sqrt{1 + x} + \sqrt{x}} \cdot {x}^{-0.5}}{\sqrt{1 + x}}\right)} - 1} \]

      associate-*l/ [=>]30.3%

      \[ e^{\mathsf{log1p}\left(\frac{\color{blue}{\frac{1 \cdot {x}^{-0.5}}{\sqrt{1 + x} + \sqrt{x}}}}{\sqrt{1 + x}}\right)} - 1 \]

      *-un-lft-identity [<=]30.3%

      \[ e^{\mathsf{log1p}\left(\frac{\frac{\color{blue}{{x}^{-0.5}}}{\sqrt{1 + x} + \sqrt{x}}}{\sqrt{1 + x}}\right)} - 1 \]
    7. Simplified99.7%

      \[\leadsto \color{blue}{\frac{{x}^{-0.5}}{\left(x + 1\right) + \sqrt{x + 1} \cdot \sqrt{x}}} \]
      Step-by-step derivation

      [Start]30.3%

      \[ e^{\mathsf{log1p}\left(\frac{\frac{{x}^{-0.5}}{\sqrt{1 + x} + \sqrt{x}}}{\sqrt{1 + x}}\right)} - 1 \]

      expm1-def [=>]99.4%

      \[ \color{blue}{\mathsf{expm1}\left(\mathsf{log1p}\left(\frac{\frac{{x}^{-0.5}}{\sqrt{1 + x} + \sqrt{x}}}{\sqrt{1 + x}}\right)\right)} \]

      expm1-log1p [=>]99.4%

      \[ \color{blue}{\frac{\frac{{x}^{-0.5}}{\sqrt{1 + x} + \sqrt{x}}}{\sqrt{1 + x}}} \]

      associate-/l/ [=>]99.4%

      \[ \color{blue}{\frac{{x}^{-0.5}}{\sqrt{1 + x} \cdot \left(\sqrt{1 + x} + \sqrt{x}\right)}} \]

      distribute-lft-in [=>]99.4%

      \[ \frac{{x}^{-0.5}}{\color{blue}{\sqrt{1 + x} \cdot \sqrt{1 + x} + \sqrt{1 + x} \cdot \sqrt{x}}} \]

      rem-square-sqrt [=>]99.7%

      \[ \frac{{x}^{-0.5}}{\color{blue}{\left(1 + x\right)} + \sqrt{1 + x} \cdot \sqrt{x}} \]

      +-commutative [=>]99.7%

      \[ \frac{{x}^{-0.5}}{\color{blue}{\left(x + 1\right)} + \sqrt{1 + x} \cdot \sqrt{x}} \]

      +-commutative [=>]99.7%

      \[ \frac{{x}^{-0.5}}{\left(x + 1\right) + \sqrt{\color{blue}{x + 1}} \cdot \sqrt{x}} \]
    8. Taylor expanded in x around inf 99.8%

      \[\leadsto \frac{{x}^{-0.5}}{\left(x + 1\right) + \color{blue}{x}} \]

    if 0.0 < (-.f64 (/.f64 1 (sqrt.f64 x)) (/.f64 1 (sqrt.f64 (+.f64 x 1))))

    1. Initial program 96.2%

      \[\frac{1}{\sqrt{x}} - \frac{1}{\sqrt{x + 1}} \]
    2. Applied egg-rr96.7%

      \[\leadsto \color{blue}{\left(\sqrt{1 + x} - \sqrt{x}\right) \cdot \frac{{x}^{-0.5}}{\sqrt{1 + x}}} \]
      Step-by-step derivation

      [Start]96.2%

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

      frac-sub [=>]96.3%

      \[ \color{blue}{\frac{1 \cdot \sqrt{x + 1} - \sqrt{x} \cdot 1}{\sqrt{x} \cdot \sqrt{x + 1}}} \]

      div-inv [=>]96.3%

      \[ \color{blue}{\left(1 \cdot \sqrt{x + 1} - \sqrt{x} \cdot 1\right) \cdot \frac{1}{\sqrt{x} \cdot \sqrt{x + 1}}} \]

      *-un-lft-identity [<=]96.3%

      \[ \left(\color{blue}{\sqrt{x + 1}} - \sqrt{x} \cdot 1\right) \cdot \frac{1}{\sqrt{x} \cdot \sqrt{x + 1}} \]

      +-commutative [=>]96.3%

      \[ \left(\sqrt{\color{blue}{1 + x}} - \sqrt{x} \cdot 1\right) \cdot \frac{1}{\sqrt{x} \cdot \sqrt{x + 1}} \]

      *-rgt-identity [=>]96.3%

      \[ \left(\sqrt{1 + x} - \color{blue}{\sqrt{x}}\right) \cdot \frac{1}{\sqrt{x} \cdot \sqrt{x + 1}} \]

      metadata-eval [<=]96.3%

      \[ \left(\sqrt{1 + x} - \sqrt{x}\right) \cdot \frac{\color{blue}{1 \cdot 1}}{\sqrt{x} \cdot \sqrt{x + 1}} \]

      frac-times [<=]96.3%

      \[ \left(\sqrt{1 + x} - \sqrt{x}\right) \cdot \color{blue}{\left(\frac{1}{\sqrt{x}} \cdot \frac{1}{\sqrt{x + 1}}\right)} \]

      un-div-inv [=>]96.3%

      \[ \left(\sqrt{1 + x} - \sqrt{x}\right) \cdot \color{blue}{\frac{\frac{1}{\sqrt{x}}}{\sqrt{x + 1}}} \]

      pow1/2 [=>]96.3%

      \[ \left(\sqrt{1 + x} - \sqrt{x}\right) \cdot \frac{\frac{1}{\color{blue}{{x}^{0.5}}}}{\sqrt{x + 1}} \]

      pow-flip [=>]96.7%

      \[ \left(\sqrt{1 + x} - \sqrt{x}\right) \cdot \frac{\color{blue}{{x}^{\left(-0.5\right)}}}{\sqrt{x + 1}} \]

      metadata-eval [=>]96.7%

      \[ \left(\sqrt{1 + x} - \sqrt{x}\right) \cdot \frac{{x}^{\color{blue}{-0.5}}}{\sqrt{x + 1}} \]

      +-commutative [=>]96.7%

      \[ \left(\sqrt{1 + x} - \sqrt{x}\right) \cdot \frac{{x}^{-0.5}}{\sqrt{\color{blue}{1 + x}}} \]
    3. Simplified96.7%

      \[\leadsto \color{blue}{\frac{\left(\sqrt{1 + x} - \sqrt{x}\right) \cdot {x}^{-0.5}}{\sqrt{1 + x}}} \]
      Step-by-step derivation

      [Start]96.7%

      \[ \left(\sqrt{1 + x} - \sqrt{x}\right) \cdot \frac{{x}^{-0.5}}{\sqrt{1 + x}} \]

      associate-*r/ [=>]96.7%

      \[ \color{blue}{\frac{\left(\sqrt{1 + x} - \sqrt{x}\right) \cdot {x}^{-0.5}}{\sqrt{1 + x}}} \]
    4. Applied egg-rr99.8%

      \[\leadsto \frac{\color{blue}{\frac{\left(1 + x\right) - x}{\sqrt{1 + x} + \sqrt{x}}} \cdot {x}^{-0.5}}{\sqrt{1 + x}} \]
      Step-by-step derivation

      [Start]96.7%

      \[ \frac{\left(\sqrt{1 + x} - \sqrt{x}\right) \cdot {x}^{-0.5}}{\sqrt{1 + x}} \]

      flip-- [=>]97.7%

      \[ \frac{\color{blue}{\frac{\sqrt{1 + x} \cdot \sqrt{1 + x} - \sqrt{x} \cdot \sqrt{x}}{\sqrt{1 + x} + \sqrt{x}}} \cdot {x}^{-0.5}}{\sqrt{1 + x}} \]

      add-sqr-sqrt [<=]97.1%

      \[ \frac{\frac{\color{blue}{\left(1 + x\right)} - \sqrt{x} \cdot \sqrt{x}}{\sqrt{1 + x} + \sqrt{x}} \cdot {x}^{-0.5}}{\sqrt{1 + x}} \]

      add-sqr-sqrt [<=]99.8%

      \[ \frac{\frac{\left(1 + x\right) - \color{blue}{x}}{\sqrt{1 + x} + \sqrt{x}} \cdot {x}^{-0.5}}{\sqrt{1 + x}} \]
    5. Simplified99.8%

      \[\leadsto \frac{\color{blue}{\frac{1}{\sqrt{1 + x} + \sqrt{x}}} \cdot {x}^{-0.5}}{\sqrt{1 + x}} \]
      Step-by-step derivation

      [Start]99.8%

      \[ \frac{\frac{\left(1 + x\right) - x}{\sqrt{1 + x} + \sqrt{x}} \cdot {x}^{-0.5}}{\sqrt{1 + x}} \]

      associate--l+ [=>]99.8%

      \[ \frac{\frac{\color{blue}{1 + \left(x - x\right)}}{\sqrt{1 + x} + \sqrt{x}} \cdot {x}^{-0.5}}{\sqrt{1 + x}} \]

      +-inverses [=>]99.8%

      \[ \frac{\frac{1 + \color{blue}{0}}{\sqrt{1 + x} + \sqrt{x}} \cdot {x}^{-0.5}}{\sqrt{1 + x}} \]

      metadata-eval [=>]99.8%

      \[ \frac{\frac{\color{blue}{1}}{\sqrt{1 + x} + \sqrt{x}} \cdot {x}^{-0.5}}{\sqrt{1 + x}} \]
    6. Applied egg-rr87.9%

      \[\leadsto \color{blue}{e^{\mathsf{log1p}\left(\frac{\frac{{x}^{-0.5}}{\sqrt{1 + x} + \sqrt{x}}}{\sqrt{1 + x}}\right)} - 1} \]
      Step-by-step derivation

      [Start]99.8%

      \[ \frac{\frac{1}{\sqrt{1 + x} + \sqrt{x}} \cdot {x}^{-0.5}}{\sqrt{1 + x}} \]

      expm1-log1p-u [=>]92.9%

      \[ \color{blue}{\mathsf{expm1}\left(\mathsf{log1p}\left(\frac{\frac{1}{\sqrt{1 + x} + \sqrt{x}} \cdot {x}^{-0.5}}{\sqrt{1 + x}}\right)\right)} \]

      expm1-udef [=>]87.9%

      \[ \color{blue}{e^{\mathsf{log1p}\left(\frac{\frac{1}{\sqrt{1 + x} + \sqrt{x}} \cdot {x}^{-0.5}}{\sqrt{1 + x}}\right)} - 1} \]

      associate-*l/ [=>]87.9%

      \[ e^{\mathsf{log1p}\left(\frac{\color{blue}{\frac{1 \cdot {x}^{-0.5}}{\sqrt{1 + x} + \sqrt{x}}}}{\sqrt{1 + x}}\right)} - 1 \]

      *-un-lft-identity [<=]87.9%

      \[ e^{\mathsf{log1p}\left(\frac{\frac{\color{blue}{{x}^{-0.5}}}{\sqrt{1 + x} + \sqrt{x}}}{\sqrt{1 + x}}\right)} - 1 \]
    7. Simplified99.9%

      \[\leadsto \color{blue}{\frac{{x}^{-0.5}}{\left(x + 1\right) + \sqrt{x + 1} \cdot \sqrt{x}}} \]
      Step-by-step derivation

      [Start]87.9%

      \[ e^{\mathsf{log1p}\left(\frac{\frac{{x}^{-0.5}}{\sqrt{1 + x} + \sqrt{x}}}{\sqrt{1 + x}}\right)} - 1 \]

      expm1-def [=>]92.9%

      \[ \color{blue}{\mathsf{expm1}\left(\mathsf{log1p}\left(\frac{\frac{{x}^{-0.5}}{\sqrt{1 + x} + \sqrt{x}}}{\sqrt{1 + x}}\right)\right)} \]

      expm1-log1p [=>]99.8%

      \[ \color{blue}{\frac{\frac{{x}^{-0.5}}{\sqrt{1 + x} + \sqrt{x}}}{\sqrt{1 + x}}} \]

      associate-/l/ [=>]99.8%

      \[ \color{blue}{\frac{{x}^{-0.5}}{\sqrt{1 + x} \cdot \left(\sqrt{1 + x} + \sqrt{x}\right)}} \]

      distribute-lft-in [=>]99.8%

      \[ \frac{{x}^{-0.5}}{\color{blue}{\sqrt{1 + x} \cdot \sqrt{1 + x} + \sqrt{1 + x} \cdot \sqrt{x}}} \]

      rem-square-sqrt [=>]99.9%

      \[ \frac{{x}^{-0.5}}{\color{blue}{\left(1 + x\right)} + \sqrt{1 + x} \cdot \sqrt{x}} \]

      +-commutative [=>]99.9%

      \[ \frac{{x}^{-0.5}}{\color{blue}{\left(x + 1\right)} + \sqrt{1 + x} \cdot \sqrt{x}} \]

      +-commutative [=>]99.9%

      \[ \frac{{x}^{-0.5}}{\left(x + 1\right) + \sqrt{\color{blue}{x + 1}} \cdot \sqrt{x}} \]
    8. Applied egg-rr99.9%

      \[\leadsto \frac{{x}^{-0.5}}{\left(x + 1\right) + \color{blue}{{\left(\sqrt{\left(x + 1\right) \cdot x}\right)}^{1}}} \]
      Step-by-step derivation

      [Start]99.9%

      \[ \frac{{x}^{-0.5}}{\left(x + 1\right) + \sqrt{x + 1} \cdot \sqrt{x}} \]

      pow1 [=>]99.9%

      \[ \frac{{x}^{-0.5}}{\left(x + 1\right) + \color{blue}{{\left(\sqrt{x + 1} \cdot \sqrt{x}\right)}^{1}}} \]

      sqrt-unprod [=>]99.9%

      \[ \frac{{x}^{-0.5}}{\left(x + 1\right) + {\color{blue}{\left(\sqrt{\left(x + 1\right) \cdot x}\right)}}^{1}} \]
    9. Simplified99.9%

      \[\leadsto \frac{{x}^{-0.5}}{\left(x + 1\right) + \color{blue}{\sqrt{x \cdot x + x}}} \]
      Step-by-step derivation

      [Start]99.9%

      \[ \frac{{x}^{-0.5}}{\left(x + 1\right) + {\left(\sqrt{\left(x + 1\right) \cdot x}\right)}^{1}} \]

      unpow1 [=>]99.9%

      \[ \frac{{x}^{-0.5}}{\left(x + 1\right) + \color{blue}{\sqrt{\left(x + 1\right) \cdot x}}} \]

      *-commutative [=>]99.9%

      \[ \frac{{x}^{-0.5}}{\left(x + 1\right) + \sqrt{\color{blue}{x \cdot \left(x + 1\right)}}} \]

      distribute-lft-in [=>]99.9%

      \[ \frac{{x}^{-0.5}}{\left(x + 1\right) + \sqrt{\color{blue}{x \cdot x + x \cdot 1}}} \]

      *-rgt-identity [=>]99.9%

      \[ \frac{{x}^{-0.5}}{\left(x + 1\right) + \sqrt{x \cdot x + \color{blue}{x}}} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification99.8%

    \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{1}{\sqrt{x}} + \frac{-1}{\sqrt{x + 1}} \leq 0:\\ \;\;\;\;\frac{{x}^{-0.5}}{x + \left(x + 1\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{{x}^{-0.5}}{\left(x + 1\right) + \sqrt{x + x \cdot x}}\\ \end{array} \]

Alternatives

Alternative 1
Accuracy99.8%
Cost27012
\[\begin{array}{l} \mathbf{if}\;\frac{1}{\sqrt{x}} + \frac{-1}{\sqrt{x + 1}} \leq 0:\\ \;\;\;\;\frac{{x}^{-0.5}}{x + \left(x + 1\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{{x}^{-0.5}}{\left(x + 1\right) + \sqrt{x + x \cdot x}}\\ \end{array} \]
Alternative 2
Accuracy99.8%
Cost26756
\[\begin{array}{l} t_0 := \frac{-1}{\sqrt{x + 1}}\\ \mathbf{if}\;\frac{1}{\sqrt{x}} + t_0 \leq 10^{-7}:\\ \;\;\;\;\frac{{x}^{-0.5}}{\left(x + 1\right) + \left(\frac{0.0625}{x \cdot x} + \left(\left(x + 0.5\right) + \frac{-0.125}{x}\right)\right)}\\ \mathbf{else}:\\ \;\;\;\;{x}^{-0.5} + t_0\\ \end{array} \]
Alternative 3
Accuracy99.8%
Cost19968
\[\frac{{x}^{-0.5}}{\left(x + 1\right) + \sqrt{x + 1} \cdot \sqrt{x}} \]
Alternative 4
Accuracy99.8%
Cost13380
\[\begin{array}{l} \mathbf{if}\;x \leq 650:\\ \;\;\;\;{x}^{-0.5} - {\left(x + 1\right)}^{-0.5}\\ \mathbf{else}:\\ \;\;\;\;\frac{{x}^{-0.5}}{\left(x + 1\right) + \left(\frac{0.0625}{x \cdot x} + \left(\left(x + 0.5\right) + \frac{-0.125}{x}\right)\right)}\\ \end{array} \]
Alternative 5
Accuracy99.1%
Cost7812
\[\begin{array}{l} \mathbf{if}\;x \leq 0.6:\\ \;\;\;\;\frac{1}{\sqrt{x}} + \frac{-1}{1 + x \cdot 0.5}\\ \mathbf{else}:\\ \;\;\;\;\frac{{x}^{-0.5}}{\left(x + 1\right) + \left(\frac{0.0625}{x \cdot x} + \left(\left(x + 0.5\right) + \frac{-0.125}{x}\right)\right)}\\ \end{array} \]
Alternative 6
Accuracy99.0%
Cost7428
\[\begin{array}{l} \mathbf{if}\;x \leq 0.58:\\ \;\;\;\;\frac{1}{\sqrt{x}} + \frac{-1}{1 + x \cdot 0.5}\\ \mathbf{else}:\\ \;\;\;\;\frac{{x}^{-0.5}}{\left(x + 1\right) + \left(\left(x + 0.5\right) + \frac{-0.125}{x}\right)}\\ \end{array} \]
Alternative 7
Accuracy98.8%
Cost7236
\[\begin{array}{l} \mathbf{if}\;x \leq 0.62:\\ \;\;\;\;\frac{1}{\sqrt{x}} + \frac{-1}{1 + x \cdot 0.5}\\ \mathbf{else}:\\ \;\;\;\;\frac{{x}^{-0.5}}{\left(x + 1\right) + \left(x + 0.5\right)}\\ \end{array} \]
Alternative 8
Accuracy98.8%
Cost7172
\[\begin{array}{l} \mathbf{if}\;x \leq 0.41:\\ \;\;\;\;\frac{1}{\sqrt{x}} + \left(-1 - x \cdot -0.5\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{{x}^{-0.5}}{\left(x + 1\right) + \left(x + 0.5\right)}\\ \end{array} \]
Alternative 9
Accuracy98.4%
Cost7108
\[\begin{array}{l} \mathbf{if}\;x \leq 0.6:\\ \;\;\;\;\frac{1}{\sqrt{x}} + \left(-1 - x \cdot -0.5\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{{x}^{-0.5}}{x + \left(x + 1\right)}\\ \end{array} \]
Alternative 10
Accuracy98.3%
Cost7044
\[\begin{array}{l} \mathbf{if}\;x \leq 0.27:\\ \;\;\;\;{x}^{-0.5} + -1\\ \mathbf{else}:\\ \;\;\;\;\frac{{x}^{-0.5}}{x + \left(x + 1\right)}\\ \end{array} \]
Alternative 11
Accuracy98.2%
Cost6980
\[\begin{array}{l} \mathbf{if}\;x \leq 0.48:\\ \;\;\;\;{x}^{-0.5} + -1\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{0.5}{x}}{\sqrt{x + 1}}\\ \end{array} \]
Alternative 12
Accuracy98.2%
Cost6916
\[\begin{array}{l} \mathbf{if}\;x \leq 0.68:\\ \;\;\;\;{x}^{-0.5} + -1\\ \mathbf{else}:\\ \;\;\;\;{x}^{-0.5} \cdot \frac{0.5}{x}\\ \end{array} \]
Alternative 13
Accuracy52.3%
Cost6788
\[\begin{array}{l} \mathbf{if}\;x \leq 0.8:\\ \;\;\;\;{x}^{-0.5} + -1\\ \mathbf{else}:\\ \;\;\;\;{x}^{-0.5}\\ \end{array} \]
Alternative 14
Accuracy12.2%
Cost6656
\[{x}^{-0.5} \cdot 2 \]
Alternative 15
Accuracy51.0%
Cost6528
\[{x}^{-0.5} \]
Alternative 16
Accuracy1.9%
Cost64
\[-1 \]

Reproduce?

herbie shell --seed 2023263 
(FPCore (x)
  :name "2isqrt (example 3.6)"
  :precision binary64

  :herbie-target
  (/ 1.0 (+ (* (+ x 1.0) (sqrt x)) (* x (sqrt (+ x 1.0)))))

  (- (/ 1.0 (sqrt x)) (/ 1.0 (sqrt (+ x 1.0)))))