cos2 (problem 3.4.1)

Average Error: 31.1 → 0.1

Time: 4.5s

Precision: binary64

Math

\[\frac{1 - \cos x}{x \cdot x} \]

↓

\[\frac{\frac{-\tan \left(x \cdot 0.5\right)}{x} \cdot \sin x}{-x} \]

FPCore

(FPCore (x) :precision binary64 (/ (- 1.0 (cos x)) (* x x)))

↓

(FPCore (x)
 :precision binary64
 (/ (* (/ (- (tan (* x 0.5))) x) (sin x)) (- x)))

C

double code(double x) {
	return (1.0 - cos(x)) / (x * x);
}

↓

double code(double x) {
	return ((-tan((x * 0.5)) / x) * sin(x)) / -x;
}

Fortran

real(8) function code(x)
    real(8), intent (in) :: x
    code = (1.0d0 - cos(x)) / (x * x)
end function

↓

real(8) function code(x)
    real(8), intent (in) :: x
    code = ((-tan((x * 0.5d0)) / x) * sin(x)) / -x
end function

Java

public static double code(double x) {
	return (1.0 - Math.cos(x)) / (x * x);
}

↓

public static double code(double x) {
	return ((-Math.tan((x * 0.5)) / x) * Math.sin(x)) / -x;
}

Python

def code(x):
	return (1.0 - math.cos(x)) / (x * x)

↓

def code(x):
	return ((-math.tan((x * 0.5)) / x) * math.sin(x)) / -x

Julia

function code(x)
	return Float64(Float64(1.0 - cos(x)) / Float64(x * x))
end

↓

function code(x)
	return Float64(Float64(Float64(Float64(-tan(Float64(x * 0.5))) / x) * sin(x)) / Float64(-x))
end

MATLAB

function tmp = code(x)
	tmp = (1.0 - cos(x)) / (x * x);
end

↓

function tmp = code(x)
	tmp = ((-tan((x * 0.5)) / x) * sin(x)) / -x;
end

Wolfram

code[x_] := N[(N[(1.0 - N[Cos[x], $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]

↓

code[x_] := N[(N[(N[((-N[Tan[N[(x * 0.5), $MachinePrecision]], $MachinePrecision]) / x), $MachinePrecision] * N[Sin[x], $MachinePrecision]), $MachinePrecision] / (-x)), $MachinePrecision]

Derivation

1. Initial program 31.1

   \[\frac{1 - \cos x}{x \cdot x} \]

2. Applied egg-rr 15.8

   \[\leadsto \frac{\color{blue}{\left(\sin x \cdot \sin x\right) \cdot \frac{1}{1 + \cos x}}}{x \cdot x} \]

3. Taylor expanded in x around inf 15.7

   \[\leadsto \color{blue}{\frac{{\sin x}^{2}}{\left(1 + \cos x\right) \cdot {x}^{2}}} \]

4. Simplified 0.2

   \[\leadsto \color{blue}{\sin x \cdot \frac{\frac{\tan \left(\frac{x}{2}\right)}{x}}{x}} \]

5. Applied egg-rr 0.1

   \[\leadsto \color{blue}{\frac{\frac{-\tan \left(x \cdot 0.5\right)}{x} \cdot \sin x}{-x}} \]

6. Final simplification 0.1

   \[\leadsto \frac{\frac{-\tan \left(x \cdot 0.5\right)}{x} \cdot \sin x}{-x} \]

Reproduce

herbie shell --seed 2022192 
(FPCore (x)
  :name "cos2 (problem 3.4.1)"
  :precision binary64
  (/ (- 1.0 (cos x)) (* x x)))