?

Average Accuracy: 99.3% → 99.9%
Time: 5.3s
Precision: binary64
Cost: 13504

?

\[0 \leq x \land x \leq 1000000000\]
\[\sqrt{x + 1} - \sqrt{x} \]
\[\frac{\left(1 + x\right) - x}{\sqrt{1 + x} + \sqrt{x}} \]
(FPCore (x) :precision binary64 (- (sqrt (+ x 1.0)) (sqrt x)))
(FPCore (x)
 :precision binary64
 (/ (- (+ 1.0 x) x) (+ (sqrt (+ 1.0 x)) (sqrt x))))
double code(double x) {
	return sqrt((x + 1.0)) - sqrt(x);
}
double code(double x) {
	return ((1.0 + x) - x) / (sqrt((1.0 + x)) + sqrt(x));
}
real(8) function code(x)
    real(8), intent (in) :: x
    code = sqrt((x + 1.0d0)) - sqrt(x)
end function
real(8) function code(x)
    real(8), intent (in) :: x
    code = ((1.0d0 + x) - x) / (sqrt((1.0d0 + x)) + sqrt(x))
end function
public static double code(double x) {
	return Math.sqrt((x + 1.0)) - Math.sqrt(x);
}
public static double code(double x) {
	return ((1.0 + x) - x) / (Math.sqrt((1.0 + x)) + Math.sqrt(x));
}
def code(x):
	return math.sqrt((x + 1.0)) - math.sqrt(x)
def code(x):
	return ((1.0 + x) - x) / (math.sqrt((1.0 + x)) + math.sqrt(x))
function code(x)
	return Float64(sqrt(Float64(x + 1.0)) - sqrt(x))
end
function code(x)
	return Float64(Float64(Float64(1.0 + x) - x) / Float64(sqrt(Float64(1.0 + x)) + sqrt(x)))
end
function tmp = code(x)
	tmp = sqrt((x + 1.0)) - sqrt(x);
end
function tmp = code(x)
	tmp = ((1.0 + x) - x) / (sqrt((1.0 + x)) + sqrt(x));
end
code[x_] := N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]
code[x_] := N[(N[(N[(1.0 + x), $MachinePrecision] - x), $MachinePrecision] / N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\sqrt{x + 1} - \sqrt{x}
\frac{\left(1 + x\right) - x}{\sqrt{1 + x} + \sqrt{x}}

Error?

Try it out?

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation?

  1. Initial program 99.3%

    \[\sqrt{x + 1} - \sqrt{x} \]
  2. Applied egg-rr99.9%

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

    [Start]99.3

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

    flip-- [=>]99.4

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

    div-inv [=>]99.4

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

    add-sqr-sqrt [<=]99.6

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

    add-sqr-sqrt [<=]99.9

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

    associate--l+ [=>]99.9

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

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

    [Start]99.9

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

    associate-*r/ [=>]99.9

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

    *-rgt-identity [=>]99.9

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

    associate-+r- [=>]99.9

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

    +-commutative [=>]99.9

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

    +-commutative [=>]99.9

    \[ \frac{\left(1 + x\right) - x}{\sqrt{\color{blue}{1 + x}} + \sqrt{x}} \]
  4. Final simplification99.9%

    \[\leadsto \frac{\left(1 + x\right) - x}{\sqrt{1 + x} + \sqrt{x}} \]

Alternatives

Alternative 1
Accuracy99.9%
Cost13248
\[\frac{1}{\sqrt{1 + x} + \sqrt{x}} \]
Alternative 2
Accuracy99.3%
Cost13120
\[\sqrt{1 + x} - \sqrt{x} \]
Alternative 3
Accuracy96.5%
Cost6976
\[\frac{1}{\sqrt{x} + \left(1 + x \cdot 0.5\right)} \]
Alternative 4
Accuracy96.5%
Cost6848
\[x \cdot 0.5 + \left(1 - \sqrt{x}\right) \]
Alternative 5
Accuracy93.4%
Cost64
\[1 \]

Error

Reproduce?

herbie shell --seed 1 
(FPCore (x)
  :name "sqrt(x+1) - sqrt(x)"
  :precision binary64
  :pre (and (<= 0.0 x) (<= x 1000000000.0))
  (- (sqrt (+ x 1.0)) (sqrt x)))