Average Error: 0.0 → 0.0
Time: 6.4s
Precision: binary64
Cost: 576
\[\frac{\left(x + y\right) - z}{t \cdot 2} \]
\[\frac{\left(x + y\right) - z}{t \cdot 2} \]
(FPCore (x y z t) :precision binary64 (/ (- (+ x y) z) (* t 2.0)))
(FPCore (x y z t) :precision binary64 (/ (- (+ x y) z) (* t 2.0)))
double code(double x, double y, double z, double t) {
	return ((x + y) - z) / (t * 2.0);
}
double code(double x, double y, double z, double t) {
	return ((x + y) - z) / (t * 2.0);
}
real(8) function code(x, y, z, t)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    real(8), intent (in) :: t
    code = ((x + y) - z) / (t * 2.0d0)
end function
real(8) function code(x, y, z, t)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    real(8), intent (in) :: t
    code = ((x + y) - z) / (t * 2.0d0)
end function
public static double code(double x, double y, double z, double t) {
	return ((x + y) - z) / (t * 2.0);
}
public static double code(double x, double y, double z, double t) {
	return ((x + y) - z) / (t * 2.0);
}
def code(x, y, z, t):
	return ((x + y) - z) / (t * 2.0)
def code(x, y, z, t):
	return ((x + y) - z) / (t * 2.0)
function code(x, y, z, t)
	return Float64(Float64(Float64(x + y) - z) / Float64(t * 2.0))
end
function code(x, y, z, t)
	return Float64(Float64(Float64(x + y) - z) / Float64(t * 2.0))
end
function tmp = code(x, y, z, t)
	tmp = ((x + y) - z) / (t * 2.0);
end
function tmp = code(x, y, z, t)
	tmp = ((x + y) - z) / (t * 2.0);
end
code[x_, y_, z_, t_] := N[(N[(N[(x + y), $MachinePrecision] - z), $MachinePrecision] / N[(t * 2.0), $MachinePrecision]), $MachinePrecision]
code[x_, y_, z_, t_] := N[(N[(N[(x + y), $MachinePrecision] - z), $MachinePrecision] / N[(t * 2.0), $MachinePrecision]), $MachinePrecision]
\frac{\left(x + y\right) - z}{t \cdot 2}
\frac{\left(x + y\right) - z}{t \cdot 2}

Error

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.0

    \[\frac{\left(x + y\right) - z}{t \cdot 2} \]
  2. Final simplification0.0

    \[\leadsto \frac{\left(x + y\right) - z}{t \cdot 2} \]

Alternatives

Alternative 1
Error35.2
Cost584
\[\begin{array}{l} \mathbf{if}\;y \leq 10^{-251}:\\ \;\;\;\;x \cdot \frac{0.5}{t}\\ \mathbf{elif}\;y \leq 7.2 \cdot 10^{-34}:\\ \;\;\;\;z \cdot \frac{-0.5}{t}\\ \mathbf{else}:\\ \;\;\;\;\frac{0.5}{\frac{t}{y}}\\ \end{array} \]
Alternative 2
Error35.0
Cost584
\[\begin{array}{l} \mathbf{if}\;y \leq 1.16 \cdot 10^{-253}:\\ \;\;\;\;x \cdot \frac{0.5}{t}\\ \mathbf{elif}\;y \leq 7.8 \cdot 10^{-13}:\\ \;\;\;\;\frac{z \cdot -0.5}{t}\\ \mathbf{else}:\\ \;\;\;\;\frac{0.5}{\frac{t}{y}}\\ \end{array} \]
Alternative 3
Error35.0
Cost584
\[\begin{array}{l} \mathbf{if}\;y \leq 5.3 \cdot 10^{-254}:\\ \;\;\;\;\frac{x \cdot 0.5}{t}\\ \mathbf{elif}\;y \leq 6.8 \cdot 10^{-14}:\\ \;\;\;\;\frac{z \cdot -0.5}{t}\\ \mathbf{else}:\\ \;\;\;\;\frac{0.5}{\frac{t}{y}}\\ \end{array} \]
Alternative 4
Error34.9
Cost584
\[\begin{array}{l} \mathbf{if}\;y \leq 10^{-253}:\\ \;\;\;\;\frac{x \cdot 0.5}{t}\\ \mathbf{elif}\;y \leq 7.1 \cdot 10^{-13}:\\ \;\;\;\;\frac{z \cdot -0.5}{t}\\ \mathbf{else}:\\ \;\;\;\;\frac{y \cdot 0.5}{t}\\ \end{array} \]
Alternative 5
Error18.0
Cost580
\[\begin{array}{l} \mathbf{if}\;y \leq 8.2 \cdot 10^{-13}:\\ \;\;\;\;0.5 \cdot \frac{x - z}{t}\\ \mathbf{else}:\\ \;\;\;\;\frac{y \cdot 0.5}{t}\\ \end{array} \]
Alternative 6
Error15.1
Cost580
\[\begin{array}{l} \mathbf{if}\;y \leq 8.5 \cdot 10^{-71}:\\ \;\;\;\;0.5 \cdot \frac{x - z}{t}\\ \mathbf{else}:\\ \;\;\;\;0.5 \cdot \frac{y - z}{t}\\ \end{array} \]
Alternative 7
Error0.3
Cost576
\[\left(\left(z - x\right) - y\right) \cdot \frac{-0.5}{t} \]
Alternative 8
Error35.5
Cost452
\[\begin{array}{l} \mathbf{if}\;x \leq -1.55 \cdot 10^{-47}:\\ \;\;\;\;x \cdot \frac{0.5}{t}\\ \mathbf{else}:\\ \;\;\;\;z \cdot \frac{-0.5}{t}\\ \end{array} \]
Alternative 9
Error41.0
Cost320
\[z \cdot \frac{-0.5}{t} \]

Error

Reproduce

herbie shell --seed 2022329 
(FPCore (x y z t)
  :name "Optimisation.CirclePacking:place from circle-packing-0.1.0.4, B"
  :precision binary64
  (/ (- (+ x y) z) (* t 2.0)))