Examples.Basics.BasicTests:f2 from sbv-4.4

Average Error: 0.0 → 0.0

Time: 1.5s

Precision: binary64

Cost: 448

Math

\[x \cdot x - y \cdot y \]

↓

\[\left(x + y\right) \cdot \left(x - y\right) \]

FPCore

(FPCore (x y) :precision binary64 (- (* x x) (* y y)))

↓

(FPCore (x y) :precision binary64 (* (+ x y) (- x y)))

C

double code(double x, double y) {
	return (x * x) - (y * y);
}

↓

double code(double x, double y) {
	return (x + y) * (x - y);
}

Fortran

real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = (x * x) - (y * y)
end function

↓

real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = (x + y) * (x - y)
end function

Java

public static double code(double x, double y) {
	return (x * x) - (y * y);
}

↓

public static double code(double x, double y) {
	return (x + y) * (x - y);
}

Python

def code(x, y):
	return (x * x) - (y * y)

↓

def code(x, y):
	return (x + y) * (x - y)

Julia

function code(x, y)
	return Float64(Float64(x * x) - Float64(y * y))
end

↓

function code(x, y)
	return Float64(Float64(x + y) * Float64(x - y))
end

MATLAB

function tmp = code(x, y)
	tmp = (x * x) - (y * y);
end

↓

function tmp = code(x, y)
	tmp = (x + y) * (x - y);
end

Wolfram

code[x_, y_] := N[(N[(x * x), $MachinePrecision] - N[(y * y), $MachinePrecision]), $MachinePrecision]

↓

code[x_, y_] := N[(N[(x + y), $MachinePrecision] * N[(x - y), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 0.0

   \[x \cdot x - y \cdot y \]

2. Applied egg-rr 0.0

   \[\leadsto \color{blue}{\left(x + y\right) \cdot \left(x - y\right)} \]

3. Final simplification 0.0

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

Alternatives

Alternative 1
Error	13.8
Cost	784

\[\begin{array}{l} t_0 := y \cdot \left(-y\right)\\ \mathbf{if}\;y \leq -3.1803664039693764 \cdot 10^{-43}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;y \leq 3.0336423605415836 \cdot 10^{-82}:\\ \;\;\;\;x \cdot x\\ \mathbf{elif}\;y \leq 3.9673003286048315 \cdot 10^{-11}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;y \leq 5.244816096564078 \cdot 10^{+35}:\\ \;\;\;\;x \cdot x\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]

Alternative 2
Error	28.4
Cost	192

\[x \cdot x \]

Reproduce

herbie shell --seed 2022228 
(FPCore (x y)
  :name "Examples.Basics.BasicTests:f2 from sbv-4.4"
  :precision binary64
  (- (* x x) (* y y)))