?

Average Accuracy: 100.0% → 100.0%
Time: 33.6s
Precision: binary64
Cost: 1344

?

\[\left(\left(x - \left(y - 1\right) \cdot z\right) - \left(t - 1\right) \cdot a\right) + \left(\left(y + t\right) - 2\right) \cdot b \]
\[\left(\left(x + b \cdot \left(y + -2\right)\right) + t \cdot \left(b - a\right)\right) + \left(a - z \cdot \left(y + -1\right)\right) \]
(FPCore (x y z t a b)
 :precision binary64
 (+ (- (- x (* (- y 1.0) z)) (* (- t 1.0) a)) (* (- (+ y t) 2.0) b)))
(FPCore (x y z t a b)
 :precision binary64
 (+ (+ (+ x (* b (+ y -2.0))) (* t (- b a))) (- a (* z (+ y -1.0)))))
double code(double x, double y, double z, double t, double a, double b) {
	return ((x - ((y - 1.0) * z)) - ((t - 1.0) * a)) + (((y + t) - 2.0) * b);
}
double code(double x, double y, double z, double t, double a, double b) {
	return ((x + (b * (y + -2.0))) + (t * (b - a))) + (a - (z * (y + -1.0)));
}
real(8) function code(x, y, z, t, a, b)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    real(8), intent (in) :: t
    real(8), intent (in) :: a
    real(8), intent (in) :: b
    code = ((x - ((y - 1.0d0) * z)) - ((t - 1.0d0) * a)) + (((y + t) - 2.0d0) * b)
end function
real(8) function code(x, y, z, t, a, b)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    real(8), intent (in) :: t
    real(8), intent (in) :: a
    real(8), intent (in) :: b
    code = ((x + (b * (y + (-2.0d0)))) + (t * (b - a))) + (a - (z * (y + (-1.0d0))))
end function
public static double code(double x, double y, double z, double t, double a, double b) {
	return ((x - ((y - 1.0) * z)) - ((t - 1.0) * a)) + (((y + t) - 2.0) * b);
}
public static double code(double x, double y, double z, double t, double a, double b) {
	return ((x + (b * (y + -2.0))) + (t * (b - a))) + (a - (z * (y + -1.0)));
}
def code(x, y, z, t, a, b):
	return ((x - ((y - 1.0) * z)) - ((t - 1.0) * a)) + (((y + t) - 2.0) * b)
def code(x, y, z, t, a, b):
	return ((x + (b * (y + -2.0))) + (t * (b - a))) + (a - (z * (y + -1.0)))
function code(x, y, z, t, a, b)
	return Float64(Float64(Float64(x - Float64(Float64(y - 1.0) * z)) - Float64(Float64(t - 1.0) * a)) + Float64(Float64(Float64(y + t) - 2.0) * b))
end
function code(x, y, z, t, a, b)
	return Float64(Float64(Float64(x + Float64(b * Float64(y + -2.0))) + Float64(t * Float64(b - a))) + Float64(a - Float64(z * Float64(y + -1.0))))
end
function tmp = code(x, y, z, t, a, b)
	tmp = ((x - ((y - 1.0) * z)) - ((t - 1.0) * a)) + (((y + t) - 2.0) * b);
end
function tmp = code(x, y, z, t, a, b)
	tmp = ((x + (b * (y + -2.0))) + (t * (b - a))) + (a - (z * (y + -1.0)));
end
code[x_, y_, z_, t_, a_, b_] := N[(N[(N[(x - N[(N[(y - 1.0), $MachinePrecision] * z), $MachinePrecision]), $MachinePrecision] - N[(N[(t - 1.0), $MachinePrecision] * a), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(y + t), $MachinePrecision] - 2.0), $MachinePrecision] * b), $MachinePrecision]), $MachinePrecision]
code[x_, y_, z_, t_, a_, b_] := N[(N[(N[(x + N[(b * N[(y + -2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t * N[(b - a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(a - N[(z * N[(y + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\left(\left(x - \left(y - 1\right) \cdot z\right) - \left(t - 1\right) \cdot a\right) + \left(\left(y + t\right) - 2\right) \cdot b
\left(\left(x + b \cdot \left(y + -2\right)\right) + t \cdot \left(b - a\right)\right) + \left(a - z \cdot \left(y + -1\right)\right)

Error?

Try it out?

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation?

  1. Initial program 100.0%

    \[\left(\left(x - \left(y - 1\right) \cdot z\right) - \left(t - 1\right) \cdot a\right) + \left(\left(y + t\right) - 2\right) \cdot b \]
  2. Simplified100.0%

    \[\leadsto \color{blue}{\left(x - \left(y + -1\right) \cdot z\right) - \left(\left(t + -1\right) \cdot a - \left(y + \left(t - 2\right)\right) \cdot b\right)} \]
    Proof

    [Start]100.0

    \[ \left(\left(x - \left(y - 1\right) \cdot z\right) - \left(t - 1\right) \cdot a\right) + \left(\left(y + t\right) - 2\right) \cdot b \]

    associate-+l- [=>]100.0

    \[ \color{blue}{\left(x - \left(y - 1\right) \cdot z\right) - \left(\left(t - 1\right) \cdot a - \left(\left(y + t\right) - 2\right) \cdot b\right)} \]

    sub-neg [=>]100.0

    \[ \color{blue}{\left(x - \left(y - 1\right) \cdot z\right) + \left(-\left(\left(t - 1\right) \cdot a - \left(\left(y + t\right) - 2\right) \cdot b\right)\right)} \]

    neg-sub0 [=>]100.0

    \[ \left(x - \left(y - 1\right) \cdot z\right) + \color{blue}{\left(0 - \left(\left(t - 1\right) \cdot a - \left(\left(y + t\right) - 2\right) \cdot b\right)\right)} \]

    associate-+r- [=>]100.0

    \[ \color{blue}{\left(\left(x - \left(y - 1\right) \cdot z\right) + 0\right) - \left(\left(t - 1\right) \cdot a - \left(\left(y + t\right) - 2\right) \cdot b\right)} \]

    +-rgt-identity [=>]100.0

    \[ \color{blue}{\left(x - \left(y - 1\right) \cdot z\right)} - \left(\left(t - 1\right) \cdot a - \left(\left(y + t\right) - 2\right) \cdot b\right) \]

    sub-neg [=>]100.0

    \[ \left(x - \color{blue}{\left(y + \left(-1\right)\right)} \cdot z\right) - \left(\left(t - 1\right) \cdot a - \left(\left(y + t\right) - 2\right) \cdot b\right) \]

    metadata-eval [=>]100.0

    \[ \left(x - \left(y + \color{blue}{-1}\right) \cdot z\right) - \left(\left(t - 1\right) \cdot a - \left(\left(y + t\right) - 2\right) \cdot b\right) \]

    sub-neg [=>]100.0

    \[ \left(x - \left(y + -1\right) \cdot z\right) - \color{blue}{\left(\left(t - 1\right) \cdot a + \left(-\left(\left(y + t\right) - 2\right) \cdot b\right)\right)} \]

    neg-mul-1 [=>]100.0

    \[ \left(x - \left(y + -1\right) \cdot z\right) - \left(\left(t - 1\right) \cdot a + \color{blue}{-1 \cdot \left(\left(\left(y + t\right) - 2\right) \cdot b\right)}\right) \]

    metadata-eval [<=]100.0

    \[ \left(x - \left(y + -1\right) \cdot z\right) - \left(\left(t - 1\right) \cdot a + \color{blue}{\left(-1\right)} \cdot \left(\left(\left(y + t\right) - 2\right) \cdot b\right)\right) \]

    cancel-sign-sub-inv [<=]100.0

    \[ \left(x - \left(y + -1\right) \cdot z\right) - \color{blue}{\left(\left(t - 1\right) \cdot a - 1 \cdot \left(\left(\left(y + t\right) - 2\right) \cdot b\right)\right)} \]

    sub-neg [=>]100.0

    \[ \left(x - \left(y + -1\right) \cdot z\right) - \left(\color{blue}{\left(t + \left(-1\right)\right)} \cdot a - 1 \cdot \left(\left(\left(y + t\right) - 2\right) \cdot b\right)\right) \]

    metadata-eval [=>]100.0

    \[ \left(x - \left(y + -1\right) \cdot z\right) - \left(\left(t + \color{blue}{-1}\right) \cdot a - 1 \cdot \left(\left(\left(y + t\right) - 2\right) \cdot b\right)\right) \]

    *-lft-identity [=>]100.0

    \[ \left(x - \left(y + -1\right) \cdot z\right) - \left(\left(t + -1\right) \cdot a - \color{blue}{\left(\left(y + t\right) - 2\right) \cdot b}\right) \]

    associate--l+ [=>]100.0

    \[ \left(x - \left(y + -1\right) \cdot z\right) - \left(\left(t + -1\right) \cdot a - \color{blue}{\left(y + \left(t - 2\right)\right)} \cdot b\right) \]
  3. Taylor expanded in t around 0 100.0%

    \[\leadsto \color{blue}{\left(t \cdot \left(b - a\right) + \left(\left(y - 2\right) \cdot b + x\right)\right) - \left(z \cdot \left(y - 1\right) + -1 \cdot a\right)} \]
  4. Final simplification100.0%

    \[\leadsto \left(\left(x + b \cdot \left(y + -2\right)\right) + t \cdot \left(b - a\right)\right) + \left(a - z \cdot \left(y + -1\right)\right) \]

Alternatives

Alternative 1
Accuracy43.3%
Cost1640
\[\begin{array}{l} t_1 := y \cdot \left(b - z\right)\\ t_2 := a \cdot \left(1 - t\right)\\ \mathbf{if}\;a \leq -1.3 \cdot 10^{+107}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;a \leq -1.6 \cdot 10^{-137}:\\ \;\;\;\;x + z\\ \mathbf{elif}\;a \leq -5.5 \cdot 10^{-169}:\\ \;\;\;\;b \cdot \left(y + -2\right)\\ \mathbf{elif}\;a \leq -6.5 \cdot 10^{-205}:\\ \;\;\;\;x + z\\ \mathbf{elif}\;a \leq -2.2 \cdot 10^{-236}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;a \leq 2.4 \cdot 10^{-194}:\\ \;\;\;\;x + z\\ \mathbf{elif}\;a \leq 3.1 \cdot 10^{-137}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;a \leq 8.5 \cdot 10^{-54}:\\ \;\;\;\;x + z\\ \mathbf{elif}\;a \leq 1.9 \cdot 10^{+113}:\\ \;\;\;\;a + z\\ \mathbf{elif}\;a \leq 9.5 \cdot 10^{+145}:\\ \;\;\;\;x + z\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \]
Alternative 2
Accuracy74.9%
Cost1628
\[\begin{array}{l} t_1 := x + \left(\left(a + z\right) - t \cdot a\right)\\ t_2 := x - b \cdot \left(2 - \left(t + y\right)\right)\\ t_3 := a + t_2\\ t_4 := x + \left(a + \left(z - y \cdot z\right)\right)\\ \mathbf{if}\;b \leq -1.7 \cdot 10^{-39}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;b \leq -1.3 \cdot 10^{-198}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq 2.9 \cdot 10^{-230}:\\ \;\;\;\;\left(a + x\right) + z \cdot \left(1 - y\right)\\ \mathbf{elif}\;b \leq 4.5 \cdot 10^{-121}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq 2.1 \cdot 10^{-56}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;b \leq 4.2 \cdot 10^{-13}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq 8.6 \cdot 10^{+70}:\\ \;\;\;\;t_4\\ \mathbf{else}:\\ \;\;\;\;t_3\\ \end{array} \]
Alternative 3
Accuracy74.9%
Cost1628
\[\begin{array}{l} t_1 := x + \left(\left(a + z\right) - t \cdot a\right)\\ t_2 := a + \left(x - b \cdot \left(2 - \left(t + y\right)\right)\right)\\ t_3 := x + \left(a + \left(z - y \cdot z\right)\right)\\ \mathbf{if}\;b \leq -1.8 \cdot 10^{-39}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq -1.2 \cdot 10^{-197}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq 1.1 \cdot 10^{-229}:\\ \;\;\;\;\left(a + x\right) + z \cdot \left(1 - y\right)\\ \mathbf{elif}\;b \leq 7.5 \cdot 10^{-121}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq 2.1 \cdot 10^{-56}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;b \leq 5.8 \cdot 10^{-13}:\\ \;\;\;\;\left(x + b \cdot y\right) + b \cdot \left(t + -2\right)\\ \mathbf{elif}\;b \leq 5.8 \cdot 10^{+71}:\\ \;\;\;\;t_3\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \]
Alternative 4
Accuracy71.2%
Cost1501
\[\begin{array}{l} t_1 := x + \left(\left(a + z\right) - t \cdot a\right)\\ t_2 := x - b \cdot \left(2 - \left(t + y\right)\right)\\ \mathbf{if}\;b \leq -3 \cdot 10^{+78}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq -9.8 \cdot 10^{-199}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq 3.2 \cdot 10^{-233}:\\ \;\;\;\;\left(a + x\right) + z \cdot \left(1 - y\right)\\ \mathbf{elif}\;b \leq 3.7 \cdot 10^{-121}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq 2.1 \cdot 10^{-56} \lor \neg \left(b \leq 4.2 \cdot 10^{-13}\right) \land b \leq 7.5 \cdot 10^{+71}:\\ \;\;\;\;x + \left(a + \left(z - y \cdot z\right)\right)\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \]
Alternative 5
Accuracy28.8%
Cost1384
\[\begin{array}{l} \mathbf{if}\;z \leq -1.3 \cdot 10^{+140}:\\ \;\;\;\;z\\ \mathbf{elif}\;z \leq -3.1 \cdot 10^{+68}:\\ \;\;\;\;x\\ \mathbf{elif}\;z \leq -1.6 \cdot 10^{-54}:\\ \;\;\;\;a\\ \mathbf{elif}\;z \leq -9.2 \cdot 10^{-191}:\\ \;\;\;\;x\\ \mathbf{elif}\;z \leq -4.2 \cdot 10^{-223}:\\ \;\;\;\;a\\ \mathbf{elif}\;z \leq 2.05 \cdot 10^{-272}:\\ \;\;\;\;x\\ \mathbf{elif}\;z \leq 2.7 \cdot 10^{-219}:\\ \;\;\;\;b \cdot y\\ \mathbf{elif}\;z \leq 3.7 \cdot 10^{-59}:\\ \;\;\;\;x\\ \mathbf{elif}\;z \leq 3.6 \cdot 10^{+22}:\\ \;\;\;\;a\\ \mathbf{elif}\;z \leq 3.3 \cdot 10^{+75}:\\ \;\;\;\;x\\ \mathbf{else}:\\ \;\;\;\;z\\ \end{array} \]
Alternative 6
Accuracy43.3%
Cost1377
\[\begin{array}{l} t_1 := x - t \cdot a\\ t_2 := y \cdot \left(b - z\right)\\ \mathbf{if}\;y \leq -2 \cdot 10^{+38}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;y \leq -7 \cdot 10^{-46}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y \leq -4.5 \cdot 10^{-92}:\\ \;\;\;\;a + z\\ \mathbf{elif}\;y \leq 1.2 \cdot 10^{-187}:\\ \;\;\;\;x + z\\ \mathbf{elif}\;y \leq 4.5 \cdot 10^{-16}:\\ \;\;\;\;a + z\\ \mathbf{elif}\;y \leq 9 \cdot 10^{+19}:\\ \;\;\;\;a \cdot \left(1 - t\right)\\ \mathbf{elif}\;y \leq 5.1 \cdot 10^{+127} \lor \neg \left(y \leq 3.3 \cdot 10^{+245}\right):\\ \;\;\;\;t_2\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]
Alternative 7
Accuracy56.1%
Cost1376
\[\begin{array}{l} t_1 := x + z \cdot \left(1 - y\right)\\ t_2 := a \cdot \left(1 - t\right)\\ \mathbf{if}\;a \leq -3.6 \cdot 10^{+107}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;a \leq -2.4 \cdot 10^{-147}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;a \leq -5.5 \cdot 10^{-169}:\\ \;\;\;\;b \cdot \left(\left(t + y\right) + -2\right)\\ \mathbf{elif}\;a \leq 4.4 \cdot 10^{-188}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;a \leq 8 \cdot 10^{-105}:\\ \;\;\;\;x + b \cdot \left(y + -2\right)\\ \mathbf{elif}\;a \leq 1.32 \cdot 10^{+18}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;a \leq 4.9 \cdot 10^{+150}:\\ \;\;\;\;x + \left(a + z\right)\\ \mathbf{elif}\;a \leq 10^{+280}:\\ \;\;\;\;t_2\\ \mathbf{else}:\\ \;\;\;\;a + z\\ \end{array} \]
Alternative 8
Accuracy85.9%
Cost1356
\[\begin{array}{l} t_1 := z \cdot \left(y + -1\right)\\ t_2 := a + \left(\left(x + b \cdot \left(y + -2\right)\right) - t_1\right)\\ \mathbf{if}\;b \leq -2.4 \cdot 10^{-39}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq 1.75 \cdot 10^{-106}:\\ \;\;\;\;\left(x - t \cdot a\right) + \left(a - t_1\right)\\ \mathbf{elif}\;b \leq 2 \cdot 10^{+72}:\\ \;\;\;\;t_2\\ \mathbf{else}:\\ \;\;\;\;a + \left(x - b \cdot \left(2 - \left(t + y\right)\right)\right)\\ \end{array} \]
Alternative 9
Accuracy93.0%
Cost1353
\[\begin{array}{l} \mathbf{if}\;b \leq -1.8 \cdot 10^{-40} \lor \neg \left(b \leq 1.2 \cdot 10^{-120}\right):\\ \;\;\;\;\left(x + z \cdot \left(1 - y\right)\right) + \left(a - b \cdot \left(\left(2 - t\right) - y\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\left(x - t \cdot a\right) + \left(a - z \cdot \left(y + -1\right)\right)\\ \end{array} \]
Alternative 10
Accuracy100.0%
Cost1344
\[\left(\left(x + z \cdot \left(1 - y\right)\right) + a \cdot \left(1 - t\right)\right) + b \cdot \left(\left(t + y\right) + -2\right) \]
Alternative 11
Accuracy100.0%
Cost1344
\[\left(x + z \cdot \left(1 - y\right)\right) + \left(b \cdot \left(y - \left(2 - t\right)\right) + a \cdot \left(1 - t\right)\right) \]
Alternative 12
Accuracy54.2%
Cost1241
\[\begin{array}{l} t_1 := x + \left(a + z\right)\\ t_2 := y \cdot \left(b - z\right)\\ \mathbf{if}\;y \leq -6.2 \cdot 10^{+66}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;y \leq -3.6 \cdot 10^{-96}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y \leq 2.6 \cdot 10^{-142}:\\ \;\;\;\;x + \left(z - t \cdot a\right)\\ \mathbf{elif}\;y \leq 2.6 \cdot 10^{-14}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y \leq 9 \cdot 10^{+61} \lor \neg \left(y \leq 1.45 \cdot 10^{+127}\right):\\ \;\;\;\;x + \left(a - t \cdot a\right)\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \]
Alternative 13
Accuracy59.9%
Cost1240
\[\begin{array}{l} t_1 := x + z \cdot \left(1 - y\right)\\ t_2 := x + \left(a - t \cdot a\right)\\ \mathbf{if}\;a \leq -3.8 \cdot 10^{-45}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;a \leq -3.8 \cdot 10^{-147}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;a \leq -5.5 \cdot 10^{-169}:\\ \;\;\;\;b \cdot \left(\left(t + y\right) + -2\right)\\ \mathbf{elif}\;a \leq 4.7 \cdot 10^{-188}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;a \leq 4.8 \cdot 10^{-103}:\\ \;\;\;\;x + b \cdot \left(y + -2\right)\\ \mathbf{elif}\;a \leq 6.1 \cdot 10^{+38}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \]
Alternative 14
Accuracy68.0%
Cost1236
\[\begin{array}{l} t_1 := x + \left(\left(a + z\right) - t \cdot a\right)\\ t_2 := b \cdot \left(\left(t + y\right) + -2\right)\\ t_3 := x + \left(a + \left(z - y \cdot z\right)\right)\\ \mathbf{if}\;b \leq -3.6 \cdot 10^{+102}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq -1.12 \cdot 10^{-198}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq 3.6 \cdot 10^{-231}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;b \leq 4 \cdot 10^{-121}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq 6.6 \cdot 10^{+81}:\\ \;\;\;\;t_3\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \]
Alternative 15
Accuracy68.0%
Cost1236
\[\begin{array}{l} t_1 := x + \left(\left(a + z\right) - t \cdot a\right)\\ t_2 := b \cdot \left(\left(t + y\right) + -2\right)\\ \mathbf{if}\;b \leq -1.65 \cdot 10^{+103}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq -7.5 \cdot 10^{-198}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq 6.5 \cdot 10^{-230}:\\ \;\;\;\;\left(a + x\right) + z \cdot \left(1 - y\right)\\ \mathbf{elif}\;b \leq 6.2 \cdot 10^{-121}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq 2.9 \cdot 10^{+79}:\\ \;\;\;\;x + \left(a + \left(z - y \cdot z\right)\right)\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \]
Alternative 16
Accuracy89.1%
Cost1225
\[\begin{array}{l} \mathbf{if}\;z \leq -1.5 \cdot 10^{-44} \lor \neg \left(z \leq 7.5 \cdot 10^{-74}\right):\\ \;\;\;\;a + \left(\left(x + b \cdot \left(y + -2\right)\right) - z \cdot \left(y + -1\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\left(x - b \cdot \left(2 - \left(t + y\right)\right)\right) + a \cdot \left(1 - t\right)\\ \end{array} \]
Alternative 17
Accuracy89.1%
Cost1225
\[\begin{array}{l} t_1 := x + b \cdot \left(y + -2\right)\\ \mathbf{if}\;z \leq -1.45 \cdot 10^{-47} \lor \neg \left(z \leq 8.2 \cdot 10^{-75}\right):\\ \;\;\;\;a + \left(t_1 - z \cdot \left(y + -1\right)\right)\\ \mathbf{else}:\\ \;\;\;\;a + \left(t_1 + t \cdot \left(b - a\right)\right)\\ \end{array} \]
Alternative 18
Accuracy29.6%
Cost1120
\[\begin{array}{l} \mathbf{if}\;z \leq -1.7 \cdot 10^{+142}:\\ \;\;\;\;z\\ \mathbf{elif}\;z \leq -2.3 \cdot 10^{+66}:\\ \;\;\;\;x\\ \mathbf{elif}\;z \leq -3.1 \cdot 10^{-54}:\\ \;\;\;\;a\\ \mathbf{elif}\;z \leq -4.55 \cdot 10^{-194}:\\ \;\;\;\;x\\ \mathbf{elif}\;z \leq -2.9 \cdot 10^{-222}:\\ \;\;\;\;a\\ \mathbf{elif}\;z \leq 1.8 \cdot 10^{-59}:\\ \;\;\;\;x\\ \mathbf{elif}\;z \leq 3.4 \cdot 10^{+22}:\\ \;\;\;\;a\\ \mathbf{elif}\;z \leq 6.7 \cdot 10^{+75}:\\ \;\;\;\;x\\ \mathbf{else}:\\ \;\;\;\;z\\ \end{array} \]
Alternative 19
Accuracy53.7%
Cost1113
\[\begin{array}{l} t_1 := x + \left(a + z\right)\\ t_2 := y \cdot \left(b - z\right)\\ \mathbf{if}\;y \leq -5 \cdot 10^{+66}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;y \leq -4 \cdot 10^{-85}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y \leq -1.45 \cdot 10^{-151}:\\ \;\;\;\;x + t \cdot \left(b - a\right)\\ \mathbf{elif}\;y \leq 2.3 \cdot 10^{+22} \lor \neg \left(y \leq 4.5 \cdot 10^{+127}\right) \land y \leq 1.3 \cdot 10^{+278}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \]
Alternative 20
Accuracy62.7%
Cost1108
\[\begin{array}{l} t_1 := x + \left(a + z\right)\\ t_2 := x + y \cdot \left(b - z\right)\\ \mathbf{if}\;y \leq -2.2 \cdot 10^{+15}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;y \leq -8 \cdot 10^{-98}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y \leq 2.45 \cdot 10^{-142}:\\ \;\;\;\;x + \left(z - t \cdot a\right)\\ \mathbf{elif}\;y \leq 3.6 \cdot 10^{-14}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y \leq 45000000000000:\\ \;\;\;\;x + \left(a - t \cdot a\right)\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \]
Alternative 21
Accuracy67.4%
Cost1104
\[\begin{array}{l} t_1 := x + \left(\left(a + z\right) - t \cdot a\right)\\ t_2 := b \cdot \left(\left(t + y\right) + -2\right)\\ \mathbf{if}\;b \leq -2 \cdot 10^{+102}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq 2.1 \cdot 10^{-56}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq 0.000295:\\ \;\;\;\;x + y \cdot \left(b - z\right)\\ \mathbf{elif}\;b \leq 1.6 \cdot 10^{+81}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \]
Alternative 22
Accuracy84.0%
Cost1097
\[\begin{array}{l} \mathbf{if}\;b \leq -2.6 \cdot 10^{-38} \lor \neg \left(b \leq 4.7 \cdot 10^{+71}\right):\\ \;\;\;\;a + \left(x - b \cdot \left(2 - \left(t + y\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\left(x - t \cdot a\right) + \left(a - z \cdot \left(y + -1\right)\right)\\ \end{array} \]
Alternative 23
Accuracy45.5%
Cost848
\[\begin{array}{l} t_1 := a \cdot \left(1 - t\right)\\ \mathbf{if}\;a \leq -7.5 \cdot 10^{+104}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;a \leq 8.5 \cdot 10^{-54}:\\ \;\;\;\;x + z\\ \mathbf{elif}\;a \leq 10^{+112}:\\ \;\;\;\;a + z\\ \mathbf{elif}\;a \leq 5.4 \cdot 10^{+145}:\\ \;\;\;\;x + z\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]
Alternative 24
Accuracy45.6%
Cost848
\[\begin{array}{l} t_1 := y \cdot \left(b - z\right)\\ \mathbf{if}\;y \leq -7.7 \cdot 10^{+37}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y \leq 1.6 \cdot 10^{-198}:\\ \;\;\;\;x + z\\ \mathbf{elif}\;y \leq 8 \cdot 10^{-15}:\\ \;\;\;\;a + z\\ \mathbf{elif}\;y \leq 1.8 \cdot 10^{+21}:\\ \;\;\;\;a \cdot \left(1 - t\right)\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]
Alternative 25
Accuracy54.5%
Cost717
\[\begin{array}{l} \mathbf{if}\;y \leq -5.6 \cdot 10^{+66} \lor \neg \left(y \leq 1.5 \cdot 10^{+15}\right) \land y \leq 5.1 \cdot 10^{+127}:\\ \;\;\;\;y \cdot \left(b - z\right)\\ \mathbf{else}:\\ \;\;\;\;x + \left(a + z\right)\\ \end{array} \]
Alternative 26
Accuracy57.9%
Cost713
\[\begin{array}{l} \mathbf{if}\;b \leq -6.5 \cdot 10^{+101} \lor \neg \left(b \leq 8.5 \cdot 10^{+78}\right):\\ \;\;\;\;b \cdot \left(\left(t + y\right) + -2\right)\\ \mathbf{else}:\\ \;\;\;\;x + \left(a + z\right)\\ \end{array} \]
Alternative 27
Accuracy42.7%
Cost456
\[\begin{array}{l} \mathbf{if}\;x \leq -3.1 \cdot 10^{+107}:\\ \;\;\;\;x\\ \mathbf{elif}\;x \leq 1.05 \cdot 10^{+111}:\\ \;\;\;\;a + z\\ \mathbf{else}:\\ \;\;\;\;x\\ \end{array} \]
Alternative 28
Accuracy45.3%
Cost456
\[\begin{array}{l} \mathbf{if}\;x \leq -2.9 \cdot 10^{+76}:\\ \;\;\;\;x + z\\ \mathbf{elif}\;x \leq 1.12 \cdot 10^{+109}:\\ \;\;\;\;a + z\\ \mathbf{else}:\\ \;\;\;\;x + z\\ \end{array} \]
Alternative 29
Accuracy31.8%
Cost328
\[\begin{array}{l} \mathbf{if}\;x \leq -5.4 \cdot 10^{+74}:\\ \;\;\;\;x\\ \mathbf{elif}\;x \leq 1.15 \cdot 10^{+109}:\\ \;\;\;\;a\\ \mathbf{else}:\\ \;\;\;\;x\\ \end{array} \]
Alternative 30
Accuracy16.3%
Cost64
\[a \]

Error

Reproduce?

herbie shell --seed 2023135 
(FPCore (x y z t a b)
  :name "Statistics.Distribution.Beta:$centropy from math-functions-0.1.5.2"
  :precision binary64
  (+ (- (- x (* (- y 1.0) z)) (* (- t 1.0) a)) (* (- (+ y t) 2.0) b)))