Linear.Matrix:det33 from linear-1.19.1.3

Average Accuracy: 80.8% → 85.2%

Time: 1.3min

Precision: binary64

Cost: 22788

Math

\[\left(x \cdot \left(y \cdot z - t \cdot a\right) - b \cdot \left(c \cdot z - i \cdot a\right)\right) + j \cdot \left(c \cdot t - i \cdot y\right) \]

↓

\[\begin{array}{l} t_1 := z \cdot c - a \cdot i\\ t_2 := y \cdot z - t \cdot a\\ t_3 := c \cdot \left(t \cdot j\right)\\ t_4 := x \cdot t_2\\ t_5 := j \cdot \left(t \cdot c - y \cdot i\right)\\ t_6 := \left(t_4 - b \cdot t_1\right) + t_5\\ \mathbf{if}\;t_6 \leq -\infty:\\ \;\;\;\;\mathsf{fma}\left(x, t_2, \mathsf{fma}\left(x, \mathsf{fma}\left(-a, t, t \cdot a\right), i \cdot \left(a \cdot b\right)\right)\right) + t_3\\ \mathbf{elif}\;t_6 \leq 5 \cdot 10^{+284}:\\ \;\;\;\;t_5 + \left(t_4 - \mathsf{fma}\left(b, t_1, \mathsf{fma}\left(-a, i, a \cdot i\right) \cdot \left(b + b\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;t_3 + \left(b \cdot \left(a \cdot i - z \cdot c\right) - t \cdot \left(x \cdot a\right)\right)\\ \end{array} \]

FPCore

(FPCore (x y z t a b c i j)
 :precision binary64
 (+
  (- (* x (- (* y z) (* t a))) (* b (- (* c z) (* i a))))
  (* j (- (* c t) (* i y)))))

↓

(FPCore (x y z t a b c i j)
 :precision binary64
 (let* ((t_1 (- (* z c) (* a i)))
        (t_2 (- (* y z) (* t a)))
        (t_3 (* c (* t j)))
        (t_4 (* x t_2))
        (t_5 (* j (- (* t c) (* y i))))
        (t_6 (+ (- t_4 (* b t_1)) t_5)))
   (if (<= t_6 (- INFINITY))
     (+ (fma x t_2 (fma x (fma (- a) t (* t a)) (* i (* a b)))) t_3)
     (if (<= t_6 5e+284)
       (+ t_5 (- t_4 (fma b t_1 (* (fma (- a) i (* a i)) (+ b b)))))
       (+ t_3 (- (* b (- (* a i) (* z c))) (* t (* x a))))))))

C

double code(double x, double y, double z, double t, double a, double b, double c, double i, double j) {
	return ((x * ((y * z) - (t * a))) - (b * ((c * z) - (i * a)))) + (j * ((c * t) - (i * y)));
}

↓

double code(double x, double y, double z, double t, double a, double b, double c, double i, double j) {
	double t_1 = (z * c) - (a * i);
	double t_2 = (y * z) - (t * a);
	double t_3 = c * (t * j);
	double t_4 = x * t_2;
	double t_5 = j * ((t * c) - (y * i));
	double t_6 = (t_4 - (b * t_1)) + t_5;
	double tmp;
	if (t_6 <= -((double) INFINITY)) {
		tmp = fma(x, t_2, fma(x, fma(-a, t, (t * a)), (i * (a * b)))) + t_3;
	} else if (t_6 <= 5e+284) {
		tmp = t_5 + (t_4 - fma(b, t_1, (fma(-a, i, (a * i)) * (b + b))));
	} else {
		tmp = t_3 + ((b * ((a * i) - (z * c))) - (t * (x * a)));
	}
	return tmp;
}

Julia

function code(x, y, z, t, a, b, c, i, j)
	return Float64(Float64(Float64(x * Float64(Float64(y * z) - Float64(t * a))) - Float64(b * Float64(Float64(c * z) - Float64(i * a)))) + Float64(j * Float64(Float64(c * t) - Float64(i * y))))
end

↓

function code(x, y, z, t, a, b, c, i, j)
	t_1 = Float64(Float64(z * c) - Float64(a * i))
	t_2 = Float64(Float64(y * z) - Float64(t * a))
	t_3 = Float64(c * Float64(t * j))
	t_4 = Float64(x * t_2)
	t_5 = Float64(j * Float64(Float64(t * c) - Float64(y * i)))
	t_6 = Float64(Float64(t_4 - Float64(b * t_1)) + t_5)
	tmp = 0.0
	if (t_6 <= Float64(-Inf))
		tmp = Float64(fma(x, t_2, fma(x, fma(Float64(-a), t, Float64(t * a)), Float64(i * Float64(a * b)))) + t_3);
	elseif (t_6 <= 5e+284)
		tmp = Float64(t_5 + Float64(t_4 - fma(b, t_1, Float64(fma(Float64(-a), i, Float64(a * i)) * Float64(b + b)))));
	else
		tmp = Float64(t_3 + Float64(Float64(b * Float64(Float64(a * i) - Float64(z * c))) - Float64(t * Float64(x * a))));
	end
	return tmp
end

Wolfram

code[x_, y_, z_, t_, a_, b_, c_, i_, j_] := N[(N[(N[(x * N[(N[(y * z), $MachinePrecision] - N[(t * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(b * N[(N[(c * z), $MachinePrecision] - N[(i * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(j * N[(N[(c * t), $MachinePrecision] - N[(i * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

↓

code[x_, y_, z_, t_, a_, b_, c_, i_, j_] := Block[{t$95$1 = N[(N[(z * c), $MachinePrecision] - N[(a * i), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(y * z), $MachinePrecision] - N[(t * a), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(c * N[(t * j), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(x * t$95$2), $MachinePrecision]}, Block[{t$95$5 = N[(j * N[(N[(t * c), $MachinePrecision] - N[(y * i), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(t$95$4 - N[(b * t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision]}, If[LessEqual[t$95$6, (-Infinity)], N[(N[(x * t$95$2 + N[(x * N[((-a) * t + N[(t * a), $MachinePrecision]), $MachinePrecision] + N[(i * N[(a * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$6, 5e+284], N[(t$95$5 + N[(t$95$4 - N[(b * t$95$1 + N[(N[((-a) * i + N[(a * i), $MachinePrecision]), $MachinePrecision] * N[(b + b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$3 + N[(N[(b * N[(N[(a * i), $MachinePrecision] - N[(z * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(t * N[(x * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]

Target

Original	80.8%
Target	74.7%
Herbie	85.2%

\[\begin{array}{l} \mathbf{if}\;t < -8.120978919195912 \cdot 10^{-33}:\\ \;\;\;\;x \cdot \left(z \cdot y - a \cdot t\right) - \left(b \cdot \left(z \cdot c - a \cdot i\right) - \left(c \cdot t - y \cdot i\right) \cdot j\right)\\ \mathbf{elif}\;t < -4.712553818218485 \cdot 10^{-169}:\\ \;\;\;\;\left(x \cdot \left(y \cdot z - t \cdot a\right) - b \cdot \left(c \cdot z - i \cdot a\right)\right) + \frac{j \cdot \left({\left(c \cdot t\right)}^{2} - {\left(i \cdot y\right)}^{2}\right)}{c \cdot t + i \cdot y}\\ \mathbf{elif}\;t < -7.633533346031584 \cdot 10^{-308}:\\ \;\;\;\;x \cdot \left(z \cdot y - a \cdot t\right) - \left(b \cdot \left(z \cdot c - a \cdot i\right) - \left(c \cdot t - y \cdot i\right) \cdot j\right)\\ \mathbf{elif}\;t < 1.0535888557455487 \cdot 10^{-139}:\\ \;\;\;\;\left(x \cdot \left(y \cdot z - t \cdot a\right) - b \cdot \left(c \cdot z - i \cdot a\right)\right) + \frac{j \cdot \left({\left(c \cdot t\right)}^{2} - {\left(i \cdot y\right)}^{2}\right)}{c \cdot t + i \cdot y}\\ \mathbf{else}:\\ \;\;\;\;x \cdot \left(z \cdot y - a \cdot t\right) - \left(b \cdot \left(z \cdot c - a \cdot i\right) - \left(c \cdot t - y \cdot i\right) \cdot j\right)\\ \end{array} \]

Derivation

1. Split input into 3 regimes

2. if (+.f64 (-.f64 (*.f64 x (-.f64 (*.f64 y z) (*.f64 t a))) (*.f64 b (-.f64 (*.f64 c z) (*.f64 i a)))) (*.f64 j (-.f64 (*.f64 c t) (*.f64 i y)))) < -inf.0

   1. Initial program 0.0%

      \[\left(x \cdot \left(y \cdot z - t \cdot a\right) - b \cdot \left(c \cdot z - i \cdot a\right)\right) + j \cdot \left(c \cdot t - i \cdot y\right) \]

   2. Taylor expanded in c around inf 20.6%

      \[\leadsto \left(x \cdot \left(y \cdot z - t \cdot a\right) - b \cdot \left(c \cdot z - i \cdot a\right)\right) + \color{blue}{c \cdot \left(t \cdot j\right)} \]

   3. Applied egg-rr 20.6%

      \[\leadsto \color{blue}{\left(x \cdot \mathsf{fma}\left(y, z, t \cdot \left(-a\right)\right) + \left(x \cdot \mathsf{fma}\left(-a, t, t \cdot a\right) + \mathsf{fma}\left(c, z, i \cdot \left(-a\right)\right) \cdot \left(-b\right)\right)\right)} + c \cdot \left(t \cdot j\right) \]

   4. Simplified 20.6%

      \[\leadsto \color{blue}{\mathsf{fma}\left(x, z \cdot y - a \cdot t, \mathsf{fma}\left(x, \mathsf{fma}\left(-a, t, a \cdot t\right), \left(c \cdot z - i \cdot a\right) \cdot \left(-b\right)\right)\right)} + c \cdot \left(t \cdot j\right) \]
      Proof

      [Start] 20.6	\[ \left(x \cdot \mathsf{fma}\left(y, z, t \cdot \left(-a\right)\right) + \left(x \cdot \mathsf{fma}\left(-a, t, t \cdot a\right) + \mathsf{fma}\left(c, z, i \cdot \left(-a\right)\right) \cdot \left(-b\right)\right)\right) + c \cdot \left(t \cdot j\right) \]
      fma-def [=>] 20.6	\[ \color{blue}{\mathsf{fma}\left(x, \mathsf{fma}\left(y, z, t \cdot \left(-a\right)\right), x \cdot \mathsf{fma}\left(-a, t, t \cdot a\right) + \mathsf{fma}\left(c, z, i \cdot \left(-a\right)\right) \cdot \left(-b\right)\right)} + c \cdot \left(t \cdot j\right) \]
      distribute-rgt-neg-out [=>] 20.6	\[ \mathsf{fma}\left(x, \mathsf{fma}\left(y, z, \color{blue}{-t \cdot a}\right), x \cdot \mathsf{fma}\left(-a, t, t \cdot a\right) + \mathsf{fma}\left(c, z, i \cdot \left(-a\right)\right) \cdot \left(-b\right)\right) + c \cdot \left(t \cdot j\right) \]
      fma-neg [<=] 20.6	\[ \mathsf{fma}\left(x, \color{blue}{y \cdot z - t \cdot a}, x \cdot \mathsf{fma}\left(-a, t, t \cdot a\right) + \mathsf{fma}\left(c, z, i \cdot \left(-a\right)\right) \cdot \left(-b\right)\right) + c \cdot \left(t \cdot j\right) \]
      *-commutative [=>] 20.6	\[ \mathsf{fma}\left(x, y \cdot z - \color{blue}{a \cdot t}, x \cdot \mathsf{fma}\left(-a, t, t \cdot a\right) + \mathsf{fma}\left(c, z, i \cdot \left(-a\right)\right) \cdot \left(-b\right)\right) + c \cdot \left(t \cdot j\right) \]
      *-commutative [=>] 20.6	\[ \mathsf{fma}\left(x, \color{blue}{z \cdot y} - a \cdot t, x \cdot \mathsf{fma}\left(-a, t, t \cdot a\right) + \mathsf{fma}\left(c, z, i \cdot \left(-a\right)\right) \cdot \left(-b\right)\right) + c \cdot \left(t \cdot j\right) \]
      fma-def [=>] 20.6	\[ \mathsf{fma}\left(x, z \cdot y - a \cdot t, \color{blue}{\mathsf{fma}\left(x, \mathsf{fma}\left(-a, t, t \cdot a\right), \mathsf{fma}\left(c, z, i \cdot \left(-a\right)\right) \cdot \left(-b\right)\right)}\right) + c \cdot \left(t \cdot j\right) \]
      *-commutative [=>] 20.6	\[ \mathsf{fma}\left(x, z \cdot y - a \cdot t, \mathsf{fma}\left(x, \mathsf{fma}\left(-a, t, \color{blue}{a \cdot t}\right), \mathsf{fma}\left(c, z, i \cdot \left(-a\right)\right) \cdot \left(-b\right)\right)\right) + c \cdot \left(t \cdot j\right) \]
      distribute-rgt-neg-out [=>] 20.6	\[ \mathsf{fma}\left(x, z \cdot y - a \cdot t, \mathsf{fma}\left(x, \mathsf{fma}\left(-a, t, a \cdot t\right), \mathsf{fma}\left(c, z, \color{blue}{-i \cdot a}\right) \cdot \left(-b\right)\right)\right) + c \cdot \left(t \cdot j\right) \]
      fma-neg [<=] 20.6	\[ \mathsf{fma}\left(x, z \cdot y - a \cdot t, \mathsf{fma}\left(x, \mathsf{fma}\left(-a, t, a \cdot t\right), \color{blue}{\left(c \cdot z - i \cdot a\right)} \cdot \left(-b\right)\right)\right) + c \cdot \left(t \cdot j\right) \]

   5. Taylor expanded in a around inf 35.3%

      \[\leadsto \mathsf{fma}\left(x, z \cdot y - a \cdot t, \mathsf{fma}\left(x, \mathsf{fma}\left(-a, t, a \cdot t\right), \color{blue}{i \cdot \left(a \cdot b\right)}\right)\right) + c \cdot \left(t \cdot j\right) \]

   if -inf.0 < (+.f64 (-.f64 (*.f64 x (-.f64 (*.f64 y z) (*.f64 t a))) (*.f64 b (-.f64 (*.f64 c z) (*.f64 i a)))) (*.f64 j (-.f64 (*.f64 c t) (*.f64 i y)))) < 4.9999999999999999e284

   1. Initial program 98.7%

      \[\left(x \cdot \left(y \cdot z - t \cdot a\right) - b \cdot \left(c \cdot z - i \cdot a\right)\right) + j \cdot \left(c \cdot t - i \cdot y\right) \]

   2. Applied egg-rr 98.6%

      \[\leadsto \left(x \cdot \left(y \cdot z - t \cdot a\right) - \color{blue}{\left(b \cdot \left(c \cdot z - i \cdot a\right) + \left(b \cdot \mathsf{fma}\left(-a, i, i \cdot a\right) + b \cdot \mathsf{fma}\left(-a, i, i \cdot a\right)\right)\right)}\right) + j \cdot \left(c \cdot t - i \cdot y\right) \]

   3. Simplified 98.7%

      \[\leadsto \left(x \cdot \left(y \cdot z - t \cdot a\right) - \color{blue}{\mathsf{fma}\left(b, c \cdot z - i \cdot a, \mathsf{fma}\left(-a, i, i \cdot a\right) \cdot \left(b + b\right)\right)}\right) + j \cdot \left(c \cdot t - i \cdot y\right) \]
      Proof

      [Start] 98.6	\[ \left(x \cdot \left(y \cdot z - t \cdot a\right) - \left(b \cdot \left(c \cdot z - i \cdot a\right) + \left(b \cdot \mathsf{fma}\left(-a, i, i \cdot a\right) + b \cdot \mathsf{fma}\left(-a, i, i \cdot a\right)\right)\right)\right) + j \cdot \left(c \cdot t - i \cdot y\right) \]
      distribute-lft-out [=>] 98.6	\[ \left(x \cdot \left(y \cdot z - t \cdot a\right) - \left(b \cdot \left(c \cdot z - i \cdot a\right) + \color{blue}{b \cdot \left(\mathsf{fma}\left(-a, i, i \cdot a\right) + \mathsf{fma}\left(-a, i, i \cdot a\right)\right)}\right)\right) + j \cdot \left(c \cdot t - i \cdot y\right) \]
      distribute-rgt-out [<=] 98.6	\[ \left(x \cdot \left(y \cdot z - t \cdot a\right) - \left(b \cdot \left(c \cdot z - i \cdot a\right) + \color{blue}{\left(\mathsf{fma}\left(-a, i, i \cdot a\right) \cdot b + \mathsf{fma}\left(-a, i, i \cdot a\right) \cdot b\right)}\right)\right) + j \cdot \left(c \cdot t - i \cdot y\right) \]
      fma-def [=>] 98.7	\[ \left(x \cdot \left(y \cdot z - t \cdot a\right) - \color{blue}{\mathsf{fma}\left(b, c \cdot z - i \cdot a, \mathsf{fma}\left(-a, i, i \cdot a\right) \cdot b + \mathsf{fma}\left(-a, i, i \cdot a\right) \cdot b\right)}\right) + j \cdot \left(c \cdot t - i \cdot y\right) \]
      distribute-lft-out [=>] 98.7	\[ \left(x \cdot \left(y \cdot z - t \cdot a\right) - \mathsf{fma}\left(b, c \cdot z - i \cdot a, \color{blue}{\mathsf{fma}\left(-a, i, i \cdot a\right) \cdot \left(b + b\right)}\right)\right) + j \cdot \left(c \cdot t - i \cdot y\right) \]

   if 4.9999999999999999e284 < (+.f64 (-.f64 (*.f64 x (-.f64 (*.f64 y z) (*.f64 t a))) (*.f64 b (-.f64 (*.f64 c z) (*.f64 i a)))) (*.f64 j (-.f64 (*.f64 c t) (*.f64 i y))))

   1. Initial program 24.6%

      \[\left(x \cdot \left(y \cdot z - t \cdot a\right) - b \cdot \left(c \cdot z - i \cdot a\right)\right) + j \cdot \left(c \cdot t - i \cdot y\right) \]

   2. Taylor expanded in c around inf 32.0%

      \[\leadsto \left(x \cdot \left(y \cdot z - t \cdot a\right) - b \cdot \left(c \cdot z - i \cdot a\right)\right) + \color{blue}{c \cdot \left(t \cdot j\right)} \]

   3. Taylor expanded in y around 0 34.8%

      \[\leadsto \left(\color{blue}{-1 \cdot \left(a \cdot \left(t \cdot x\right)\right)} - b \cdot \left(c \cdot z - i \cdot a\right)\right) + c \cdot \left(t \cdot j\right) \]

   4. Simplified 36.8%

      \[\leadsto \left(\color{blue}{t \cdot \left(x \cdot \left(-a\right)\right)} - b \cdot \left(c \cdot z - i \cdot a\right)\right) + c \cdot \left(t \cdot j\right) \]
      Proof

      [Start] 34.8	\[ \left(-1 \cdot \left(a \cdot \left(t \cdot x\right)\right) - b \cdot \left(c \cdot z - i \cdot a\right)\right) + c \cdot \left(t \cdot j\right) \]
      mul-1-neg [=>] 34.8	\[ \left(\color{blue}{\left(-a \cdot \left(t \cdot x\right)\right)} - b \cdot \left(c \cdot z - i \cdot a\right)\right) + c \cdot \left(t \cdot j\right) \]
      *-commutative [=>] 34.8	\[ \left(\left(-\color{blue}{\left(t \cdot x\right) \cdot a}\right) - b \cdot \left(c \cdot z - i \cdot a\right)\right) + c \cdot \left(t \cdot j\right) \]
      distribute-rgt-neg-in [=>] 34.8	\[ \left(\color{blue}{\left(t \cdot x\right) \cdot \left(-a\right)} - b \cdot \left(c \cdot z - i \cdot a\right)\right) + c \cdot \left(t \cdot j\right) \]
      associate-*l* [=>] 36.8	\[ \left(\color{blue}{t \cdot \left(x \cdot \left(-a\right)\right)} - b \cdot \left(c \cdot z - i \cdot a\right)\right) + c \cdot \left(t \cdot j\right) \]

3. Recombined 3 regimes into one program.

4. Final simplification 85.2%

   \[\leadsto \begin{array}{l} \mathbf{if}\;\left(x \cdot \left(y \cdot z - t \cdot a\right) - b \cdot \left(z \cdot c - a \cdot i\right)\right) + j \cdot \left(t \cdot c - y \cdot i\right) \leq -\infty:\\ \;\;\;\;\mathsf{fma}\left(x, y \cdot z - t \cdot a, \mathsf{fma}\left(x, \mathsf{fma}\left(-a, t, t \cdot a\right), i \cdot \left(a \cdot b\right)\right)\right) + c \cdot \left(t \cdot j\right)\\ \mathbf{elif}\;\left(x \cdot \left(y \cdot z - t \cdot a\right) - b \cdot \left(z \cdot c - a \cdot i\right)\right) + j \cdot \left(t \cdot c - y \cdot i\right) \leq 5 \cdot 10^{+284}:\\ \;\;\;\;j \cdot \left(t \cdot c - y \cdot i\right) + \left(x \cdot \left(y \cdot z - t \cdot a\right) - \mathsf{fma}\left(b, z \cdot c - a \cdot i, \mathsf{fma}\left(-a, i, a \cdot i\right) \cdot \left(b + b\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;c \cdot \left(t \cdot j\right) + \left(b \cdot \left(a \cdot i - z \cdot c\right) - t \cdot \left(x \cdot a\right)\right)\\ \end{array} \]

Alternatives

Alternative 1
Accuracy	85.6%
Cost	19080

\[\begin{array}{l} t_1 := c \cdot \left(t \cdot j\right)\\ t_2 := z \cdot c - a \cdot i\\ t_3 := x \cdot \left(y \cdot z - t \cdot a\right)\\ t_4 := j \cdot \left(t \cdot c - y \cdot i\right)\\ t_5 := \left(t_3 - b \cdot t_2\right) + t_4\\ \mathbf{if}\;t_5 \leq -\infty:\\ \;\;\;\;t_1 + a \cdot \left(b \cdot i - x \cdot t\right)\\ \mathbf{elif}\;t_5 \leq 5 \cdot 10^{+284}:\\ \;\;\;\;t_4 + \left(t_3 - \mathsf{fma}\left(b, t_2, \mathsf{fma}\left(-a, i, a \cdot i\right) \cdot \left(b + b\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;t_1 + \left(b \cdot \left(a \cdot i - z \cdot c\right) - t \cdot \left(x \cdot a\right)\right)\\ \end{array} \]

Alternative 2
Accuracy	85.6%
Cost	5704

\[\begin{array}{l} t_1 := c \cdot \left(t \cdot j\right)\\ t_2 := \left(x \cdot \left(y \cdot z - t \cdot a\right) - b \cdot \left(z \cdot c - a \cdot i\right)\right) + j \cdot \left(t \cdot c - y \cdot i\right)\\ \mathbf{if}\;t_2 \leq -\infty:\\ \;\;\;\;t_1 + a \cdot \left(b \cdot i - x \cdot t\right)\\ \mathbf{elif}\;t_2 \leq 5 \cdot 10^{+284}:\\ \;\;\;\;t_2\\ \mathbf{else}:\\ \;\;\;\;t_1 + \left(b \cdot \left(a \cdot i - z \cdot c\right) - t \cdot \left(x \cdot a\right)\right)\\ \end{array} \]

Alternative 3
Accuracy	71.4%
Cost	3052

\[\begin{array}{l} t_1 := x \cdot \left(y \cdot z - t \cdot a\right)\\ t_2 := j \cdot \left(t \cdot c - y \cdot i\right)\\ t_3 := t_2 + \left(t_1 - z \cdot \left(b \cdot c\right)\right)\\ t_4 := b \cdot \left(z \cdot c - a \cdot i\right)\\ t_5 := t_1 - t_4\\ t_6 := t_5 + c \cdot \left(t \cdot j\right)\\ t_7 := t_2 - \left(t_4 + a \cdot \left(x \cdot t\right)\right)\\ t_8 := t_5 + t \cdot \left(c \cdot j\right)\\ \mathbf{if}\;z \leq -1.12 \cdot 10^{+80}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;z \leq -1.1 \cdot 10^{-39}:\\ \;\;\;\;t_6\\ \mathbf{elif}\;z \leq -1.9 \cdot 10^{-79}:\\ \;\;\;\;t_7\\ \mathbf{elif}\;z \leq -1.05 \cdot 10^{-147}:\\ \;\;\;\;t_8\\ \mathbf{elif}\;z \leq -9 \cdot 10^{-197}:\\ \;\;\;\;t_2 + \left(b \cdot \left(a \cdot i - z \cdot c\right) - t \cdot \left(x \cdot a\right)\right)\\ \mathbf{elif}\;z \leq -2 \cdot 10^{-221}:\\ \;\;\;\;t_5 - y \cdot \left(i \cdot j\right)\\ \mathbf{elif}\;z \leq -2.2 \cdot 10^{-260}:\\ \;\;\;\;t_6\\ \mathbf{elif}\;z \leq 2.1 \cdot 10^{-305}:\\ \;\;\;\;t_7\\ \mathbf{elif}\;z \leq 9.5 \cdot 10^{-130}:\\ \;\;\;\;t_5 - i \cdot \left(y \cdot j\right)\\ \mathbf{elif}\;z \leq 4.2 \cdot 10^{-7}:\\ \;\;\;\;t_8\\ \mathbf{elif}\;z \leq 1.2 \cdot 10^{+150}:\\ \;\;\;\;t_3\\ \mathbf{else}:\\ \;\;\;\;t_2 + \left(y \cdot \left(x \cdot z\right) - t_4\right)\\ \end{array} \]

Alternative 4
Accuracy	72.7%
Cost	2920

\[\begin{array}{l} t_1 := j \cdot \left(t \cdot c - y \cdot i\right)\\ t_2 := t_1 + \left(b \cdot \left(a \cdot i - z \cdot c\right) - t \cdot \left(x \cdot a\right)\right)\\ t_3 := x \cdot \left(y \cdot z - t \cdot a\right)\\ t_4 := t_3 - b \cdot \left(z \cdot c - a \cdot i\right)\\ t_5 := t_4 + c \cdot \left(t \cdot j\right)\\ t_6 := t_1 + \left(t_3 - z \cdot \left(b \cdot c\right)\right)\\ t_7 := t_4 + t \cdot \left(c \cdot j\right)\\ \mathbf{if}\;z \leq -3.05 \cdot 10^{+78}:\\ \;\;\;\;t_6\\ \mathbf{elif}\;z \leq -9.2 \cdot 10^{-24}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;z \leq -3 \cdot 10^{-68}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;z \leq -2.3 \cdot 10^{-147}:\\ \;\;\;\;t_7\\ \mathbf{elif}\;z \leq -1.4 \cdot 10^{-221}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;z \leq -8 \cdot 10^{-259}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;z \leq 1.66 \cdot 10^{-246}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;z \leq 1.2 \cdot 10^{-162}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;z \leq 1.46 \cdot 10^{-105}:\\ \;\;\;\;t_1 + \left(t_3 - c \cdot \left(z \cdot b\right)\right)\\ \mathbf{elif}\;z \leq 1.1 \cdot 10^{-7}:\\ \;\;\;\;t_7\\ \mathbf{else}:\\ \;\;\;\;t_6\\ \end{array} \]

Alternative 5
Accuracy	70.9%
Cost	2788

\[\begin{array}{l} t_1 := b \cdot \left(z \cdot c - a \cdot i\right)\\ t_2 := x \cdot \left(y \cdot z - t \cdot a\right)\\ t_3 := t_2 - t_1\\ t_4 := t_3 + c \cdot \left(t \cdot j\right)\\ t_5 := j \cdot \left(t \cdot c - y \cdot i\right)\\ t_6 := t_5 + \left(t_2 - z \cdot \left(b \cdot c\right)\right)\\ t_7 := t_5 + \left(b \cdot \left(a \cdot i - z \cdot c\right) - t \cdot \left(x \cdot a\right)\right)\\ \mathbf{if}\;z \leq -2.2 \cdot 10^{+81}:\\ \;\;\;\;t_6\\ \mathbf{elif}\;z \leq -3.8 \cdot 10^{-23}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;z \leq -2.8 \cdot 10^{-70}:\\ \;\;\;\;t_7\\ \mathbf{elif}\;z \leq -2.3 \cdot 10^{-147}:\\ \;\;\;\;t_3 + t \cdot \left(c \cdot j\right)\\ \mathbf{elif}\;z \leq -1.4 \cdot 10^{-221}:\\ \;\;\;\;t_7\\ \mathbf{elif}\;z \leq 2.4 \cdot 10^{-307}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;z \leq 2.1 \cdot 10^{-131}:\\ \;\;\;\;t_3 - i \cdot \left(y \cdot j\right)\\ \mathbf{elif}\;z \leq 880:\\ \;\;\;\;t_4\\ \mathbf{elif}\;z \leq 5.8 \cdot 10^{+110}:\\ \;\;\;\;t_6\\ \mathbf{else}:\\ \;\;\;\;t_5 + \left(y \cdot \left(x \cdot z\right) - t_1\right)\\ \end{array} \]

Alternative 6
Accuracy	63.0%
Cost	2664

\[\begin{array}{l} t_1 := i \cdot \left(a \cdot b\right)\\ t_2 := b \cdot \left(z \cdot c - a \cdot i\right)\\ t_3 := j \cdot \left(t \cdot c - y \cdot i\right)\\ t_4 := t_3 - t_2\\ t_5 := t_3 + \left(t_1 - x \cdot \left(t \cdot a\right)\right)\\ t_6 := t \cdot \left(c \cdot j\right)\\ t_7 := t_6 + \left(x \cdot \left(y \cdot z - t \cdot a\right) + t_1\right)\\ \mathbf{if}\;i \leq -1.2 \cdot 10^{+182}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;i \leq -1.35 \cdot 10^{+65}:\\ \;\;\;\;t_6 + \left(y \cdot \left(x \cdot z\right) - t_2\right)\\ \mathbf{elif}\;i \leq -2.75 \cdot 10^{+26}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;i \leq -5.8 \cdot 10^{-52}:\\ \;\;\;\;t_7\\ \mathbf{elif}\;i \leq -6 \cdot 10^{-68}:\\ \;\;\;\;t_3 - c \cdot \left(z \cdot b\right)\\ \mathbf{elif}\;i \leq -3.3 \cdot 10^{-139}:\\ \;\;\;\;t_7\\ \mathbf{elif}\;i \leq -8.8 \cdot 10^{-191}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;i \leq 2 \cdot 10^{-72}:\\ \;\;\;\;c \cdot \left(t \cdot j\right) - \left(b \cdot \left(z \cdot c\right) + x \cdot \left(t \cdot a - y \cdot z\right)\right)\\ \mathbf{elif}\;i \leq 2.1 \cdot 10^{+21}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;i \leq 4.5 \cdot 10^{+52}:\\ \;\;\;\;t_7\\ \mathbf{else}:\\ \;\;\;\;t_5\\ \end{array} \]

Alternative 7
Accuracy	40.6%
Cost	2552

\[\begin{array}{l} t_1 := i \cdot \left(a \cdot b - y \cdot j\right)\\ t_2 := c \cdot \left(t \cdot j\right)\\ t_3 := t_2 - a \cdot \left(x \cdot t\right)\\ t_4 := \frac{z}{\frac{1}{x \cdot y - b \cdot c}}\\ t_5 := c \cdot \left(t \cdot j - z \cdot b\right)\\ t_6 := j \cdot \left(t \cdot c - y \cdot i\right)\\ \mathbf{if}\;j \leq -39000000000:\\ \;\;\;\;t_6\\ \mathbf{elif}\;j \leq -8.2 \cdot 10^{-34}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;j \leq -8.2 \cdot 10^{-78}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;j \leq -6 \cdot 10^{-113}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;j \leq -4.2 \cdot 10^{-153}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;j \leq -2.05 \cdot 10^{-170}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;j \leq -7.2 \cdot 10^{-211}:\\ \;\;\;\;t_2 + a \cdot \left(b \cdot i\right)\\ \mathbf{elif}\;j \leq -1.95 \cdot 10^{-264}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;j \leq 1.3 \cdot 10^{-230}:\\ \;\;\;\;b \cdot \left(a \cdot i - z \cdot c\right)\\ \mathbf{elif}\;j \leq 5.8 \cdot 10^{-225}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;j \leq 6 \cdot 10^{-171}:\\ \;\;\;\;t_2 + x \cdot \left(y \cdot z\right)\\ \mathbf{elif}\;j \leq 4.3 \cdot 10^{-150}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;j \leq 8.8 \cdot 10^{-113}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;j \leq 3.8 \cdot 10^{-30}:\\ \;\;\;\;t_3\\ \mathbf{else}:\\ \;\;\;\;t_6\\ \end{array} \]

Alternative 8
Accuracy	40.6%
Cost	2552

\[\begin{array}{l} t_1 := i \cdot \left(a \cdot b - y \cdot j\right)\\ t_2 := c \cdot \left(t \cdot j\right)\\ t_3 := t_2 - a \cdot \left(x \cdot t\right)\\ t_4 := x \cdot y - b \cdot c\\ t_5 := \frac{z}{\frac{1}{t_4}}\\ t_6 := j \cdot \left(t \cdot c - y \cdot i\right)\\ \mathbf{if}\;j \leq -20000000000:\\ \;\;\;\;t_6\\ \mathbf{elif}\;j \leq -8.5 \cdot 10^{-34}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;j \leq -4.2 \cdot 10^{-79}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;j \leq -1.42 \cdot 10^{-113}:\\ \;\;\;\;c \cdot \left(t \cdot j - z \cdot b\right)\\ \mathbf{elif}\;j \leq -1.2 \cdot 10^{-149}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;j \leq -1.35 \cdot 10^{-168}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;j \leq -7.2 \cdot 10^{-211}:\\ \;\;\;\;t_2 + a \cdot \left(b \cdot i\right)\\ \mathbf{elif}\;j \leq -2.15 \cdot 10^{-265}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;j \leq 7.2 \cdot 10^{-231}:\\ \;\;\;\;b \cdot \left(a \cdot i - z \cdot c\right)\\ \mathbf{elif}\;j \leq 5.5 \cdot 10^{-226}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;j \leq 7.7 \cdot 10^{-177}:\\ \;\;\;\;t_2 + x \cdot \left(y \cdot z\right)\\ \mathbf{elif}\;j \leq 5.5 \cdot 10^{-150}:\\ \;\;\;\;j \cdot \left(y \cdot \left(-i\right)\right) - b \cdot \left(z \cdot c\right)\\ \mathbf{elif}\;j \leq 1.6 \cdot 10^{-130}:\\ \;\;\;\;z \cdot t_4\\ \mathbf{elif}\;j \leq 1.65 \cdot 10^{-31}:\\ \;\;\;\;t_3\\ \mathbf{else}:\\ \;\;\;\;t_6\\ \end{array} \]

Alternative 9
Accuracy	49.7%
Cost	2544

\[\begin{array}{l} t_1 := c \cdot \left(t \cdot j\right)\\ t_2 := j \cdot \left(t \cdot c - y \cdot i\right) - c \cdot \left(z \cdot b\right)\\ t_3 := i \cdot \left(a \cdot b - y \cdot j\right)\\ t_4 := x \cdot \left(y \cdot z - t \cdot a\right) + t_1\\ \mathbf{if}\;i \leq -5.4 \cdot 10^{+150}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;i \leq -4.3 \cdot 10^{+26}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;i \leq -0.12:\\ \;\;\;\;t_1 + a \cdot \left(b \cdot i\right)\\ \mathbf{elif}\;i \leq -1.05 \cdot 10^{-51}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;i \leq -2 \cdot 10^{-69}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;i \leq -5.4 \cdot 10^{-140}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;i \leq -3.5 \cdot 10^{-217}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;i \leq 6.6 \cdot 10^{-305}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;i \leq 3.9 \cdot 10^{-256}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;i \leq 1.35 \cdot 10^{-103}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;i \leq 4.2 \cdot 10^{+18}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;i \leq 4.2 \cdot 10^{+61}:\\ \;\;\;\;t_4\\ \mathbf{else}:\\ \;\;\;\;t_3\\ \end{array} \]

Alternative 10
Accuracy	57.4%
Cost	2544

\[\begin{array}{l} t_1 := j \cdot \left(t \cdot c - y \cdot i\right) - b \cdot \left(z \cdot c - a \cdot i\right)\\ t_2 := c \cdot \left(t \cdot j\right)\\ t_3 := t_2 - \left(b \cdot \left(z \cdot c\right) + x \cdot \left(t \cdot a - y \cdot z\right)\right)\\ t_4 := t_2 + a \cdot \left(b \cdot i - x \cdot t\right)\\ \mathbf{if}\;a \leq -7.5 \cdot 10^{+96}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;a \leq -6.2 \cdot 10^{+47}:\\ \;\;\;\;y \cdot \left(x \cdot z - i \cdot j\right)\\ \mathbf{elif}\;a \leq -2.15 \cdot 10^{-45}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;a \leq -1.3 \cdot 10^{-108}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;a \leq -6 \cdot 10^{-185}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;a \leq 8.6 \cdot 10^{-203}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;a \leq 6.5 \cdot 10^{-113}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;a \leq 8 \cdot 10^{-72}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;a \leq 8500:\\ \;\;\;\;t_3\\ \mathbf{elif}\;a \leq 6.1 \cdot 10^{+96}:\\ \;\;\;\;b \cdot \left(a \cdot i - z \cdot c\right) - j \cdot \left(y \cdot i\right)\\ \mathbf{elif}\;a \leq 8.5 \cdot 10^{+160}:\\ \;\;\;\;x \cdot \left(y \cdot z - t \cdot a\right) + t_2\\ \mathbf{elif}\;a \leq 1.5 \cdot 10^{+177}:\\ \;\;\;\;i \cdot \left(a \cdot b - y \cdot j\right)\\ \mathbf{else}:\\ \;\;\;\;t_4\\ \end{array} \]

Alternative 11
Accuracy	70.1%
Cost	2524

\[\begin{array}{l} t_1 := x \cdot z - i \cdot j\\ t_2 := x \cdot \left(y \cdot z - t \cdot a\right)\\ t_3 := \left(t_2 - b \cdot \left(z \cdot c - a \cdot i\right)\right) + t \cdot \left(c \cdot j\right)\\ t_4 := j \cdot \left(t \cdot c - y \cdot i\right) + \left(t_2 - c \cdot \left(z \cdot b\right)\right)\\ \mathbf{if}\;y \leq -1.8 \cdot 10^{+240}:\\ \;\;\;\;\frac{y}{\frac{1}{t_1}}\\ \mathbf{elif}\;y \leq -9.5 \cdot 10^{+78}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;y \leq -8 \cdot 10^{-55}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;y \leq -7.5 \cdot 10^{-77}:\\ \;\;\;\;c \cdot \left(t \cdot j\right) + \left(b \cdot \left(a \cdot i - z \cdot c\right) - t \cdot \left(x \cdot a\right)\right)\\ \mathbf{elif}\;y \leq -1.1 \cdot 10^{-170}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;y \leq 2.2 \cdot 10^{-16}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;y \leq 9.2 \cdot 10^{+92}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;y \leq 2.3 \cdot 10^{+298}:\\ \;\;\;\;y \cdot t_1\\ \mathbf{else}:\\ \;\;\;\;c \cdot \left(t \cdot j - z \cdot b\right)\\ \end{array} \]

Alternative 12
Accuracy	72.2%
Cost	2524

\[\begin{array}{l} t_1 := b \cdot \left(z \cdot c - a \cdot i\right)\\ t_2 := x \cdot \left(y \cdot z - t \cdot a\right)\\ t_3 := y \cdot \left(x \cdot z\right) - t_1\\ t_4 := t \cdot \left(c \cdot j\right)\\ t_5 := j \cdot \left(t \cdot c - y \cdot i\right)\\ t_6 := t_5 + \left(t_2 - c \cdot \left(z \cdot b\right)\right)\\ \mathbf{if}\;y \leq -2.3 \cdot 10^{+240}:\\ \;\;\;\;\frac{y}{\frac{1}{x \cdot z - i \cdot j}}\\ \mathbf{elif}\;y \leq -4.5 \cdot 10^{+146}:\\ \;\;\;\;t_4 + t_3\\ \mathbf{elif}\;y \leq -1.9 \cdot 10^{+120}:\\ \;\;\;\;t_5 - t_1\\ \mathbf{elif}\;y \leq -1.15 \cdot 10^{-54}:\\ \;\;\;\;t_6\\ \mathbf{elif}\;y \leq -8.2 \cdot 10^{-77}:\\ \;\;\;\;c \cdot \left(t \cdot j\right) + \left(b \cdot \left(a \cdot i - z \cdot c\right) - t \cdot \left(x \cdot a\right)\right)\\ \mathbf{elif}\;y \leq -1.36 \cdot 10^{-170}:\\ \;\;\;\;t_6\\ \mathbf{elif}\;y \leq 1.2 \cdot 10^{-48}:\\ \;\;\;\;\left(t_2 - t_1\right) + t_4\\ \mathbf{else}:\\ \;\;\;\;t_5 + t_3\\ \end{array} \]

Alternative 13
Accuracy	57.5%
Cost	2413

\[\begin{array}{l} t_1 := x \cdot z - i \cdot j\\ t_2 := b \cdot \left(z \cdot c - a \cdot i\right)\\ t_3 := j \cdot \left(t \cdot c - y \cdot i\right)\\ t_4 := t_3 - t_2\\ t_5 := c \cdot \left(t \cdot j\right)\\ t_6 := t \cdot \left(c \cdot j\right) + \left(y \cdot \left(x \cdot z\right) - t_2\right)\\ t_7 := t_5 - \left(b \cdot \left(z \cdot c\right) + x \cdot \left(t \cdot a - y \cdot z\right)\right)\\ \mathbf{if}\;y \leq -4.6 \cdot 10^{+240}:\\ \;\;\;\;\frac{y}{\frac{1}{t_1}}\\ \mathbf{elif}\;y \leq -3.5 \cdot 10^{+124}:\\ \;\;\;\;t_6\\ \mathbf{elif}\;y \leq -7.5 \cdot 10^{-107}:\\ \;\;\;\;t_7\\ \mathbf{elif}\;y \leq -1.22 \cdot 10^{-147}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;y \leq -3.2 \cdot 10^{-278}:\\ \;\;\;\;t_7\\ \mathbf{elif}\;y \leq 6.1 \cdot 10^{-295}:\\ \;\;\;\;t_6\\ \mathbf{elif}\;y \leq 3.2 \cdot 10^{-36}:\\ \;\;\;\;t_7\\ \mathbf{elif}\;y \leq 1.46 \cdot 10^{+47}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;y \leq 1.05 \cdot 10^{+61}:\\ \;\;\;\;x \cdot \left(y \cdot z - t \cdot a\right) + t_5\\ \mathbf{elif}\;y \leq 1.5 \cdot 10^{+128} \lor \neg \left(y \leq 4.5 \cdot 10^{+162}\right):\\ \;\;\;\;y \cdot t_1\\ \mathbf{else}:\\ \;\;\;\;t_3 - c \cdot \left(z \cdot b\right)\\ \end{array} \]

Alternative 14
Accuracy	48.9%
Cost	2412

\[\begin{array}{l} t_1 := b \cdot \left(a \cdot i - z \cdot c\right)\\ t_2 := t_1 - j \cdot \left(y \cdot i\right)\\ t_3 := x \cdot \left(y \cdot z - t \cdot a\right) + c \cdot \left(t \cdot j\right)\\ t_4 := j \cdot \left(t \cdot c - y \cdot i\right)\\ t_5 := t_4 - c \cdot \left(z \cdot b\right)\\ \mathbf{if}\;j \leq -5.9 \cdot 10^{+78}:\\ \;\;\;\;t_4 + i \cdot \left(a \cdot b\right)\\ \mathbf{elif}\;j \leq -2.6 \cdot 10^{-20}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;j \leq -8.5 \cdot 10^{-47}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;j \leq -1.25 \cdot 10^{-67}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;j \leq -1.2 \cdot 10^{-111}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;j \leq -1.95 \cdot 10^{-167}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;j \leq 4.4 \cdot 10^{-302}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;j \leq 1.16 \cdot 10^{-260}:\\ \;\;\;\;i \cdot \left(y \cdot j\right) + t_1\\ \mathbf{elif}\;j \leq 7.5 \cdot 10^{-180}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;j \leq 7.8 \cdot 10^{-146}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;j \leq 2.05 \cdot 10^{-81}:\\ \;\;\;\;t_3\\ \mathbf{else}:\\ \;\;\;\;t_5\\ \end{array} \]

Alternative 15
Accuracy	48.9%
Cost	2412

\[\begin{array}{l} t_1 := c \cdot \left(t \cdot j\right)\\ t_2 := b \cdot \left(a \cdot i - z \cdot c\right)\\ t_3 := t_2 - j \cdot \left(y \cdot i\right)\\ t_4 := x \cdot \left(y \cdot z - t \cdot a\right) + t_1\\ t_5 := j \cdot \left(t \cdot c - y \cdot i\right)\\ t_6 := t_5 - c \cdot \left(z \cdot b\right)\\ \mathbf{if}\;j \leq -2.55 \cdot 10^{+77}:\\ \;\;\;\;t_5 + i \cdot \left(a \cdot b\right)\\ \mathbf{elif}\;j \leq -5.4 \cdot 10^{-21}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;j \leq -8.5 \cdot 10^{-49}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;j \leq -1.25 \cdot 10^{-66}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;j \leq -7.6 \cdot 10^{-112}:\\ \;\;\;\;t_6\\ \mathbf{elif}\;j \leq -8.5 \cdot 10^{-168}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;j \leq 2.5 \cdot 10^{-302}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;j \leq 1.25 \cdot 10^{-260}:\\ \;\;\;\;i \cdot \left(y \cdot j\right) + t_2\\ \mathbf{elif}\;j \leq 5.8 \cdot 10^{-178}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;j \leq 7.8 \cdot 10^{-146}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;j \leq 1.42 \cdot 10^{-30}:\\ \;\;\;\;t_1 + a \cdot \left(b \cdot i - x \cdot t\right)\\ \mathbf{else}:\\ \;\;\;\;t_6\\ \end{array} \]

Alternative 16
Accuracy	50.0%
Cost	2280

\[\begin{array}{l} t_1 := c \cdot \left(t \cdot j\right)\\ t_2 := j \cdot \left(t \cdot c - y \cdot i\right)\\ t_3 := t_2 - c \cdot \left(z \cdot b\right)\\ t_4 := x \cdot \left(y \cdot z - t \cdot a\right) + t_1\\ \mathbf{if}\;i \leq -6.2 \cdot 10^{+147}:\\ \;\;\;\;i \cdot \left(a \cdot b - y \cdot j\right)\\ \mathbf{elif}\;i \leq -1.05 \cdot 10^{+26}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;i \leq -2600:\\ \;\;\;\;t_1 + a \cdot \left(b \cdot i\right)\\ \mathbf{elif}\;i \leq -7.6 \cdot 10^{-52}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;i \leq -5.6 \cdot 10^{-68}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;i \leq -3.3 \cdot 10^{-139}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;i \leq -1.76 \cdot 10^{-214}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;i \leq 5.8 \cdot 10^{-305}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;i \leq 1.75 \cdot 10^{-255}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;i \leq 1.5 \cdot 10^{-72}:\\ \;\;\;\;t_4\\ \mathbf{else}:\\ \;\;\;\;t_2 + i \cdot \left(a \cdot b\right)\\ \end{array} \]

Alternative 17
Accuracy	56.1%
Cost	2272

\[\begin{array}{l} t_1 := c \cdot \left(t \cdot j\right)\\ t_2 := x \cdot \left(y \cdot z - t \cdot a\right) + t_1\\ t_3 := t_1 + a \cdot \left(b \cdot i - x \cdot t\right)\\ t_4 := j \cdot \left(t \cdot c - y \cdot i\right) - b \cdot \left(z \cdot c - a \cdot i\right)\\ \mathbf{if}\;a \leq -7.5 \cdot 10^{+96}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;a \leq -8.2 \cdot 10^{+46}:\\ \;\;\;\;y \cdot \left(x \cdot z - i \cdot j\right)\\ \mathbf{elif}\;a \leq -4.8 \cdot 10^{-46}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;a \leq -1.6 \cdot 10^{-109}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;a \leq -7.6 \cdot 10^{-228}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;a \leq 1.08 \cdot 10^{-147}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;a \leq 3.2 \cdot 10^{-113}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;a \leq 8.6 \cdot 10^{+14}:\\ \;\;\;\;t_4\\ \mathbf{else}:\\ \;\;\;\;t_3\\ \end{array} \]

Alternative 18
Accuracy	59.9%
Cost	2268

\[\begin{array}{l} t_1 := c \cdot \left(t \cdot j\right)\\ t_2 := t_1 - \left(b \cdot \left(z \cdot c\right) + x \cdot \left(t \cdot a - y \cdot z\right)\right)\\ t_3 := b \cdot \left(z \cdot c - a \cdot i\right)\\ t_4 := t_1 + \left(b \cdot \left(a \cdot i - z \cdot c\right) - t \cdot \left(x \cdot a\right)\right)\\ t_5 := j \cdot \left(t \cdot c - y \cdot i\right)\\ \mathbf{if}\;j \leq -1.36 \cdot 10^{+78}:\\ \;\;\;\;t_5 - t_3\\ \mathbf{elif}\;j \leq -7.8 \cdot 10^{-123}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;j \leq -8.6 \cdot 10^{-207}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;j \leq 1.3 \cdot 10^{-302}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;j \leq 7.8 \cdot 10^{-230}:\\ \;\;\;\;t \cdot \left(c \cdot j\right) + \left(y \cdot \left(x \cdot z\right) - t_3\right)\\ \mathbf{elif}\;j \leq 5.6 \cdot 10^{-181}:\\ \;\;\;\;x \cdot \left(y \cdot z - t \cdot a\right) + t_1\\ \mathbf{elif}\;j \leq 1.2 \cdot 10^{+31}:\\ \;\;\;\;t_4\\ \mathbf{else}:\\ \;\;\;\;t_5 - c \cdot \left(z \cdot b\right)\\ \end{array} \]

Alternative 19
Accuracy	61.4%
Cost	2268

\[\begin{array}{l} t_1 := x \cdot z - i \cdot j\\ t_2 := b \cdot \left(z \cdot c - a \cdot i\right)\\ t_3 := j \cdot \left(t \cdot c - y \cdot i\right)\\ t_4 := t \cdot \left(c \cdot j\right)\\ t_5 := t_4 + \left(x \cdot \left(y \cdot z - t \cdot a\right) + i \cdot \left(a \cdot b\right)\right)\\ t_6 := c \cdot \left(t \cdot j\right)\\ \mathbf{if}\;y \leq -1.6 \cdot 10^{+240}:\\ \;\;\;\;\frac{y}{\frac{1}{t_1}}\\ \mathbf{elif}\;y \leq -2.1 \cdot 10^{+123}:\\ \;\;\;\;t_4 + \left(y \cdot \left(x \cdot z\right) - t_2\right)\\ \mathbf{elif}\;y \leq -1.05 \cdot 10^{-41}:\\ \;\;\;\;t_6 - \left(b \cdot \left(z \cdot c\right) + x \cdot \left(t \cdot a - y \cdot z\right)\right)\\ \mathbf{elif}\;y \leq 4 \cdot 10^{-253}:\\ \;\;\;\;t_6 + \left(b \cdot \left(a \cdot i - z \cdot c\right) - t \cdot \left(x \cdot a\right)\right)\\ \mathbf{elif}\;y \leq 6.5 \cdot 10^{-27}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;y \leq 7 \cdot 10^{+45}:\\ \;\;\;\;t_3 - t_2\\ \mathbf{elif}\;y \leq 5.6 \cdot 10^{+89}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;y \leq 3.8 \cdot 10^{+129} \lor \neg \left(y \leq 5.8 \cdot 10^{+158}\right):\\ \;\;\;\;y \cdot t_1\\ \mathbf{else}:\\ \;\;\;\;t_3 - c \cdot \left(z \cdot b\right)\\ \end{array} \]

Alternative 20
Accuracy	61.5%
Cost	2268

\[\begin{array}{l} t_1 := x \cdot z - i \cdot j\\ t_2 := b \cdot \left(z \cdot c - a \cdot i\right)\\ t_3 := j \cdot \left(t \cdot c - y \cdot i\right)\\ t_4 := t \cdot \left(c \cdot j\right)\\ t_5 := t_4 + \left(x \cdot \left(y \cdot z - t \cdot a\right) + i \cdot \left(a \cdot b\right)\right)\\ t_6 := c \cdot \left(t \cdot j\right)\\ \mathbf{if}\;y \leq -2.3 \cdot 10^{+239}:\\ \;\;\;\;\frac{y}{\frac{1}{t_1}}\\ \mathbf{elif}\;y \leq -3.8 \cdot 10^{+123}:\\ \;\;\;\;t_4 + \left(y \cdot \left(x \cdot z\right) - t_2\right)\\ \mathbf{elif}\;y \leq -9.5 \cdot 10^{-42}:\\ \;\;\;\;t_6 - \left(b \cdot \left(z \cdot c\right) + x \cdot \left(t \cdot a - y \cdot z\right)\right)\\ \mathbf{elif}\;y \leq 3.1 \cdot 10^{-254}:\\ \;\;\;\;t_6 - \left(t_2 + x \cdot \left(t \cdot a\right)\right)\\ \mathbf{elif}\;y \leq 6.2 \cdot 10^{-25}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;y \leq 8.2 \cdot 10^{+45}:\\ \;\;\;\;t_3 - t_2\\ \mathbf{elif}\;y \leq 7.2 \cdot 10^{+86}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;y \leq 1.95 \cdot 10^{+124} \lor \neg \left(y \leq 3.5 \cdot 10^{+161}\right):\\ \;\;\;\;y \cdot t_1\\ \mathbf{else}:\\ \;\;\;\;t_3 - c \cdot \left(z \cdot b\right)\\ \end{array} \]

Alternative 21
Accuracy	63.1%
Cost	2260

\[\begin{array}{l} t_1 := x \cdot \left(y \cdot z - t \cdot a\right)\\ t_2 := j \cdot \left(t \cdot c - y \cdot i\right)\\ t_3 := b \cdot \left(z \cdot c - a \cdot i\right)\\ t_4 := c \cdot \left(t \cdot j\right)\\ t_5 := i \cdot \left(a \cdot b\right)\\ t_6 := t_2 - t_3\\ \mathbf{if}\;t \leq -8.6 \cdot 10^{+88}:\\ \;\;\;\;t_4 + \left(b \cdot \left(a \cdot i - z \cdot c\right) - t \cdot \left(x \cdot a\right)\right)\\ \mathbf{elif}\;t \leq -1.1 \cdot 10^{-97}:\\ \;\;\;\;t_2 + \left(t_5 - x \cdot \left(t \cdot a\right)\right)\\ \mathbf{elif}\;t \leq -2.8 \cdot 10^{-102}:\\ \;\;\;\;t_4 - \left(b \cdot \left(z \cdot c\right) + x \cdot \left(t \cdot a - y \cdot z\right)\right)\\ \mathbf{elif}\;t \leq -3.2 \cdot 10^{-282}:\\ \;\;\;\;t_6\\ \mathbf{elif}\;t \leq 3.2 \cdot 10^{+33}:\\ \;\;\;\;\left(t_1 - t_3\right) + t_4\\ \mathbf{elif}\;t \leq 1.9 \cdot 10^{+106}:\\ \;\;\;\;t_6\\ \mathbf{else}:\\ \;\;\;\;t \cdot \left(c \cdot j\right) + \left(t_1 + t_5\right)\\ \end{array} \]

Alternative 22
Accuracy	26.7%
Cost	2161

\[\begin{array}{l} t_1 := c \cdot \left(t \cdot j - z \cdot b\right)\\ t_2 := b \cdot \left(a \cdot i - z \cdot c\right)\\ t_3 := z \cdot \left(x \cdot y\right)\\ t_4 := y \cdot \left(j \cdot \left(-i\right)\right)\\ \mathbf{if}\;z \leq -8 \cdot 10^{+131}:\\ \;\;\;\;z \cdot \left(b \cdot \left(-c\right)\right)\\ \mathbf{elif}\;z \leq -1.2 \cdot 10^{+69}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;z \leq -1.32 \cdot 10^{-186}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq -1.95 \cdot 10^{-221}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;z \leq -1.02 \cdot 10^{-255}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq 9.5 \cdot 10^{-296}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;z \leq 5.9 \cdot 10^{-214}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;z \leq 2.9 \cdot 10^{-159}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;z \leq 1.4 \cdot 10^{-148}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;z \leq 1.05 \cdot 10^{-51}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;z \leq 3700 \lor \neg \left(z \leq 1.7 \cdot 10^{+59}\right):\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;\left(y \cdot j\right) \cdot \left(-i\right)\\ \end{array} \]

Alternative 23
Accuracy	26.6%
Cost	2028

\[\begin{array}{l} t_1 := b \cdot \left(a \cdot i - z \cdot c\right)\\ t_2 := z \cdot \left(x \cdot y\right)\\ t_3 := y \cdot \left(j \cdot \left(-i\right)\right)\\ \mathbf{if}\;z \leq -1.05 \cdot 10^{+132}:\\ \;\;\;\;z \cdot \left(b \cdot \left(-c\right)\right)\\ \mathbf{elif}\;z \leq -1.62 \cdot 10^{+41}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;z \leq 1.85 \cdot 10^{-295}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq 5.8 \cdot 10^{-214}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;z \leq 1.6 \cdot 10^{-156}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq 1.4 \cdot 10^{-148}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;z \leq 1.1 \cdot 10^{-66}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;z \leq 3.2 \cdot 10^{-7}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq 1160000000:\\ \;\;\;\;c \cdot \left(t \cdot j\right)\\ \mathbf{elif}\;z \leq 7 \cdot 10^{+57}:\\ \;\;\;\;y \cdot \left(x \cdot z\right)\\ \mathbf{elif}\;z \leq 1.7 \cdot 10^{+59}:\\ \;\;\;\;t_3\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]

Alternative 24
Accuracy	40.7%
Cost	2028

\[\begin{array}{l} t_1 := i \cdot \left(a \cdot b - y \cdot j\right)\\ t_2 := z \cdot \left(x \cdot y - b \cdot c\right)\\ t_3 := c \cdot \left(t \cdot j - z \cdot b\right)\\ t_4 := j \cdot \left(t \cdot c - y \cdot i\right)\\ \mathbf{if}\;j \leq -25000000000:\\ \;\;\;\;t_4\\ \mathbf{elif}\;j \leq -4.5 \cdot 10^{-32}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;j \leq -6.2 \cdot 10^{-75}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;j \leq -1.18 \cdot 10^{-113}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;j \leq -3.6 \cdot 10^{-151}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;j \leq -7.5 \cdot 10^{-167}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;j \leq -2.65 \cdot 10^{-211}:\\ \;\;\;\;c \cdot \left(t \cdot j\right) + a \cdot \left(b \cdot i\right)\\ \mathbf{elif}\;j \leq -1.6 \cdot 10^{-237}:\\ \;\;\;\;y \cdot \left(x \cdot z - i \cdot j\right)\\ \mathbf{elif}\;j \leq -1.06 \cdot 10^{-269}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;j \leq 9.5 \cdot 10^{-261}:\\ \;\;\;\;b \cdot \left(a \cdot i - z \cdot c\right)\\ \mathbf{elif}\;j \leq 4.7 \cdot 10^{+36}:\\ \;\;\;\;t_2\\ \mathbf{else}:\\ \;\;\;\;t_4\\ \end{array} \]

Alternative 25
Accuracy	40.8%
Cost	2028

\[\begin{array}{l} t_1 := i \cdot \left(a \cdot b - y \cdot j\right)\\ t_2 := j \cdot \left(t \cdot c - y \cdot i\right)\\ t_3 := x \cdot y - b \cdot c\\ t_4 := \frac{z}{\frac{1}{t_3}}\\ t_5 := c \cdot \left(t \cdot j - z \cdot b\right)\\ \mathbf{if}\;j \leq -48000000000:\\ \;\;\;\;t_2\\ \mathbf{elif}\;j \leq -1.75 \cdot 10^{-34}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;j \leq -2.5 \cdot 10^{-76}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;j \leq -1.5 \cdot 10^{-113}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;j \leq -2.7 \cdot 10^{-155}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;j \leq -8.6 \cdot 10^{-167}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;j \leq -5.8 \cdot 10^{-211}:\\ \;\;\;\;c \cdot \left(t \cdot j\right) + a \cdot \left(b \cdot i\right)\\ \mathbf{elif}\;j \leq -1.75 \cdot 10^{-237}:\\ \;\;\;\;y \cdot \left(x \cdot z - i \cdot j\right)\\ \mathbf{elif}\;j \leq -4.2 \cdot 10^{-264}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;j \leq 1.15 \cdot 10^{-260}:\\ \;\;\;\;b \cdot \left(a \cdot i - z \cdot c\right)\\ \mathbf{elif}\;j \leq 3.6 \cdot 10^{+36}:\\ \;\;\;\;z \cdot t_3\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \]

Alternative 26
Accuracy	47.4%
Cost	2016

\[\begin{array}{l} t_1 := x \cdot \left(y \cdot z - t \cdot a\right) + c \cdot \left(t \cdot j\right)\\ t_2 := x \cdot y - b \cdot c\\ \mathbf{if}\;z \leq -1 \cdot 10^{+70}:\\ \;\;\;\;z \cdot t_2\\ \mathbf{elif}\;z \leq -9.5 \cdot 10^{-88}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq -4.7 \cdot 10^{-122}:\\ \;\;\;\;b \cdot \left(a \cdot i - z \cdot c\right)\\ \mathbf{elif}\;z \leq -2.3 \cdot 10^{-185}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq -1.95 \cdot 10^{-221}:\\ \;\;\;\;b \cdot \left(a \cdot i\right) - j \cdot \left(y \cdot i\right)\\ \mathbf{elif}\;z \leq -1.16 \cdot 10^{-262}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq 5.8 \cdot 10^{-260}:\\ \;\;\;\;i \cdot \left(a \cdot b - y \cdot j\right)\\ \mathbf{elif}\;z \leq 7 \cdot 10^{+111}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;\frac{z}{\frac{1}{t_2}}\\ \end{array} \]

Alternative 27
Accuracy	47.5%
Cost	2016

\[\begin{array}{l} t_1 := x \cdot \left(y \cdot z - t \cdot a\right) + c \cdot \left(t \cdot j\right)\\ t_2 := x \cdot y - b \cdot c\\ \mathbf{if}\;z \leq -1.25 \cdot 10^{+70}:\\ \;\;\;\;z \cdot t_2\\ \mathbf{elif}\;z \leq -1.6 \cdot 10^{-88}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq -4.7 \cdot 10^{-122}:\\ \;\;\;\;i \cdot \left(y \cdot j\right) + b \cdot \left(a \cdot i - z \cdot c\right)\\ \mathbf{elif}\;z \leq -3 \cdot 10^{-186}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq -1.65 \cdot 10^{-221}:\\ \;\;\;\;b \cdot \left(a \cdot i\right) - j \cdot \left(y \cdot i\right)\\ \mathbf{elif}\;z \leq -2.9 \cdot 10^{-264}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq 5.8 \cdot 10^{-260}:\\ \;\;\;\;i \cdot \left(a \cdot b - y \cdot j\right)\\ \mathbf{elif}\;z \leq 6.2 \cdot 10^{+113}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;\frac{z}{\frac{1}{t_2}}\\ \end{array} \]

Alternative 28
Accuracy	19.4%
Cost	1968

\[\begin{array}{l} t_1 := z \cdot \left(x \cdot y\right)\\ t_2 := y \cdot \left(x \cdot z\right)\\ t_3 := c \cdot \left(t \cdot j\right)\\ t_4 := b \cdot \left(z \cdot \left(-c\right)\right)\\ t_5 := y \cdot \left(j \cdot \left(-i\right)\right)\\ \mathbf{if}\;z \leq -1.85 \cdot 10^{+126}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;z \leq -5.6 \cdot 10^{+35}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq -1.8 \cdot 10^{-186}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;z \leq -1.55 \cdot 10^{-221}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;z \leq -1.45 \cdot 10^{-261}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;z \leq 7.2 \cdot 10^{-300}:\\ \;\;\;\;i \cdot \left(a \cdot b\right)\\ \mathbf{elif}\;z \leq 1.4 \cdot 10^{-223}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;z \leq 1.8 \cdot 10^{-52}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;z \leq 1.45 \cdot 10^{-15}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;z \leq 112:\\ \;\;\;\;t_3\\ \mathbf{elif}\;z \leq 2.4 \cdot 10^{+59}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;z \leq 6.1 \cdot 10^{+186}:\\ \;\;\;\;t_4\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]

Alternative 29
Accuracy	20.6%
Cost	1968

\[\begin{array}{l} t_1 := y \cdot \left(j \cdot \left(-i\right)\right)\\ t_2 := y \cdot \left(x \cdot z\right)\\ t_3 := c \cdot \left(t \cdot j\right)\\ t_4 := b \cdot \left(z \cdot \left(-c\right)\right)\\ t_5 := z \cdot \left(b \cdot \left(-c\right)\right)\\ \mathbf{if}\;z \leq -8 \cdot 10^{+129}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;z \leq -1.16 \cdot 10^{+35}:\\ \;\;\;\;z \cdot \left(x \cdot y\right)\\ \mathbf{elif}\;z \leq -1.9 \cdot 10^{-186}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;z \leq -1.25 \cdot 10^{-221}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq -1.55 \cdot 10^{-261}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;z \leq 1.6 \cdot 10^{-299}:\\ \;\;\;\;i \cdot \left(a \cdot b\right)\\ \mathbf{elif}\;z \leq 1.35 \cdot 10^{-223}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq 10^{-52}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;z \leq 1.38 \cdot 10^{-14}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;z \leq 1550:\\ \;\;\;\;t_3\\ \mathbf{elif}\;z \leq 2.3 \cdot 10^{+59}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;z \leq 8.2 \cdot 10^{+270}:\\ \;\;\;\;t_5\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]

Alternative 30
Accuracy	23.0%
Cost	1968

\[\begin{array}{l} t_1 := c \cdot \left(z \cdot \left(-b\right)\right)\\ t_2 := y \cdot \left(x \cdot z\right)\\ t_3 := i \cdot \left(a \cdot b\right)\\ t_4 := y \cdot \left(j \cdot \left(-i\right)\right)\\ t_5 := j \cdot \left(t \cdot c\right)\\ \mathbf{if}\;y \leq -2.1 \cdot 10^{+227}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;y \leq -1.5 \cdot 10^{+74}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;y \leq -6:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y \leq -1.75 \cdot 10^{-94}:\\ \;\;\;\;c \cdot \left(t \cdot j\right)\\ \mathbf{elif}\;y \leq -9.8 \cdot 10^{-119}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y \leq -3.6 \cdot 10^{-180}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;y \leq -3.6 \cdot 10^{-269}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y \leq 7 \cdot 10^{-298}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;y \leq 2.1 \cdot 10^{-262}:\\ \;\;\;\;z \cdot \left(b \cdot \left(-c\right)\right)\\ \mathbf{elif}\;y \leq 2.02 \cdot 10^{-112}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;y \leq 8.2 \cdot 10^{-12}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;y \leq 2.45 \cdot 10^{+64}:\\ \;\;\;\;t_4\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \]

Alternative 31
Accuracy	40.6%
Cost	1760

\[\begin{array}{l} t_1 := i \cdot \left(a \cdot b - y \cdot j\right)\\ t_2 := c \cdot \left(t \cdot j - z \cdot b\right)\\ t_3 := z \cdot \left(x \cdot y - b \cdot c\right)\\ \mathbf{if}\;z \leq -8600:\\ \;\;\;\;t_3\\ \mathbf{elif}\;z \leq -8 \cdot 10^{-181}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;z \leq -5.3 \cdot 10^{-229}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq -5.4 \cdot 10^{-263}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;z \leq 1.32 \cdot 10^{-223}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq 5.8 \cdot 10^{-205}:\\ \;\;\;\;c \cdot \left(t \cdot j\right) + x \cdot \left(y \cdot z\right)\\ \mathbf{elif}\;z \leq 8.5 \cdot 10^{-157}:\\ \;\;\;\;b \cdot \left(a \cdot i - z \cdot c\right)\\ \mathbf{elif}\;z \leq 1.85 \cdot 10^{+59}:\\ \;\;\;\;\frac{y}{\frac{1}{x \cdot z - i \cdot j}}\\ \mathbf{else}:\\ \;\;\;\;t_3\\ \end{array} \]

Alternative 32
Accuracy	40.9%
Cost	1760

\[\begin{array}{l} t_1 := b \cdot \left(a \cdot i\right) - j \cdot \left(y \cdot i\right)\\ t_2 := c \cdot \left(t \cdot j\right)\\ t_3 := c \cdot \left(t \cdot j - z \cdot b\right)\\ t_4 := x \cdot y - b \cdot c\\ \mathbf{if}\;z \leq -23:\\ \;\;\;\;z \cdot t_4\\ \mathbf{elif}\;z \leq -3.3 \cdot 10^{-181}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;z \leq -1.4 \cdot 10^{-221}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq -4.8 \cdot 10^{-262}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;z \leq 1.4 \cdot 10^{-223}:\\ \;\;\;\;i \cdot \left(a \cdot b - y \cdot j\right)\\ \mathbf{elif}\;z \leq 6.4 \cdot 10^{-205}:\\ \;\;\;\;t_2 + x \cdot \left(y \cdot z\right)\\ \mathbf{elif}\;z \leq 2.6 \cdot 10^{-146}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq 1.35 \cdot 10^{+40}:\\ \;\;\;\;t_2 - a \cdot \left(x \cdot t\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{z}{\frac{1}{t_4}}\\ \end{array} \]

Alternative 33
Accuracy	40.2%
Cost	1633

\[\begin{array}{l} t_1 := b \cdot \left(a \cdot i - z \cdot c\right)\\ t_2 := y \cdot \left(x \cdot z - i \cdot j\right)\\ t_3 := c \cdot \left(t \cdot j - z \cdot b\right)\\ \mathbf{if}\;b \leq -6 \cdot 10^{+72}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq -110000:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq -5.2 \cdot 10^{-34}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq 5.2 \cdot 10^{-209}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq 2.35 \cdot 10^{-63}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;b \leq 4.4 \cdot 10^{-55}:\\ \;\;\;\;y \cdot \left(j \cdot \left(-i\right)\right)\\ \mathbf{elif}\;b \leq 1.2 \cdot 10^{-28} \lor \neg \left(b \leq 60\right):\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;t_3\\ \end{array} \]

Alternative 34
Accuracy	42.7%
Cost	1632

\[\begin{array}{l} t_1 := b \cdot \left(a \cdot i - z \cdot c\right)\\ t_2 := c \cdot \left(t \cdot j - z \cdot b\right)\\ t_3 := y \cdot \left(x \cdot z - i \cdot j\right)\\ \mathbf{if}\;y \leq -2.1 \cdot 10^{+46}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;y \leq -9.5 \cdot 10^{-5}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;y \leq -1.7 \cdot 10^{-33}:\\ \;\;\;\;z \cdot \left(x \cdot y - b \cdot c\right)\\ \mathbf{elif}\;y \leq -2.75 \cdot 10^{-95}:\\ \;\;\;\;j \cdot \left(t \cdot c - y \cdot i\right)\\ \mathbf{elif}\;y \leq -1.75 \cdot 10^{-273}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;y \leq 7.4 \cdot 10^{-291}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y \leq 7 \cdot 10^{-142}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;y \leq 1.12 \cdot 10^{-67}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;t_3\\ \end{array} \]

Alternative 35
Accuracy	22.2%
Cost	1308

\[\begin{array}{l} t_1 := y \cdot \left(x \cdot z\right)\\ t_2 := i \cdot \left(a \cdot b\right)\\ t_3 := j \cdot \left(t \cdot c\right)\\ \mathbf{if}\;j \leq -4.8 \cdot 10^{+34}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;j \leq -8.6 \cdot 10^{-119}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;j \leq -1.35 \cdot 10^{-209}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;j \leq 4 \cdot 10^{-302}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;j \leq 1.25 \cdot 10^{-260}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;j \leq 9.5 \cdot 10^{-178}:\\ \;\;\;\;z \cdot \left(x \cdot y\right)\\ \mathbf{elif}\;j \leq 1.7 \cdot 10^{+43}:\\ \;\;\;\;y \cdot \left(j \cdot \left(-i\right)\right)\\ \mathbf{else}:\\ \;\;\;\;t_3\\ \end{array} \]

Alternative 36
Accuracy	22.8%
Cost	1112

\[\begin{array}{l} t_1 := y \cdot \left(x \cdot z\right)\\ t_2 := i \cdot \left(a \cdot b\right)\\ t_3 := j \cdot \left(t \cdot c\right)\\ \mathbf{if}\;j \leq -1.5 \cdot 10^{+31}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;j \leq -5.6 \cdot 10^{-120}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;j \leq -2.3 \cdot 10^{-207}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;j \leq 3 \cdot 10^{-302}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;j \leq 1.05 \cdot 10^{-260}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;j \leq 3.5 \cdot 10^{+38}:\\ \;\;\;\;z \cdot \left(x \cdot y\right)\\ \mathbf{else}:\\ \;\;\;\;t_3\\ \end{array} \]

Alternative 37
Accuracy	22.8%
Cost	848

\[\begin{array}{l} t_1 := y \cdot \left(x \cdot z\right)\\ t_2 := j \cdot \left(t \cdot c\right)\\ \mathbf{if}\;j \leq -3.2 \cdot 10^{+33}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;j \leq -4.8 \cdot 10^{-123}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;j \leq -5.6 \cdot 10^{-209}:\\ \;\;\;\;i \cdot \left(a \cdot b\right)\\ \mathbf{elif}\;j \leq 5 \cdot 10^{+38}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \]

Alternative 38
Accuracy	22.7%
Cost	585

\[\begin{array}{l} \mathbf{if}\;c \leq -1.9 \cdot 10^{-73} \lor \neg \left(c \leq 8.2 \cdot 10^{-91}\right):\\ \;\;\;\;c \cdot \left(t \cdot j\right)\\ \mathbf{else}:\\ \;\;\;\;a \cdot \left(b \cdot i\right)\\ \end{array} \]

Alternative 39
Accuracy	22.6%
Cost	585

\[\begin{array}{l} \mathbf{if}\;c \leq -3.1 \cdot 10^{-44} \lor \neg \left(c \leq 1.56 \cdot 10^{-78}\right):\\ \;\;\;\;c \cdot \left(t \cdot j\right)\\ \mathbf{else}:\\ \;\;\;\;i \cdot \left(a \cdot b\right)\\ \end{array} \]

Alternative 40
Accuracy	22.3%
Cost	585

\[\begin{array}{l} \mathbf{if}\;j \leq -1.55 \cdot 10^{+44} \lor \neg \left(j \leq 1.5 \cdot 10^{-10}\right):\\ \;\;\;\;j \cdot \left(t \cdot c\right)\\ \mathbf{else}:\\ \;\;\;\;i \cdot \left(a \cdot b\right)\\ \end{array} \]

Alternative 41
Accuracy	16.3%
Cost	320

\[a \cdot \left(b \cdot i\right) \]

Reproduce

herbie shell --seed 2023125 
(FPCore (x y z t a b c i j)
  :name "Linear.Matrix:det33 from linear-1.19.1.3"
  :precision binary64

  :herbie-target
  (if (< t -8.120978919195912e-33) (- (* x (- (* z y) (* a t))) (- (* b (- (* z c) (* a i))) (* (- (* c t) (* y i)) j))) (if (< t -4.712553818218485e-169) (+ (- (* x (- (* y z) (* t a))) (* b (- (* c z) (* i a)))) (/ (* j (- (pow (* c t) 2.0) (pow (* i y) 2.0))) (+ (* c t) (* i y)))) (if (< t -7.633533346031584e-308) (- (* x (- (* z y) (* a t))) (- (* b (- (* z c) (* a i))) (* (- (* c t) (* y i)) j))) (if (< t 1.0535888557455487e-139) (+ (- (* x (- (* y z) (* t a))) (* b (- (* c z) (* i a)))) (/ (* j (- (pow (* c t) 2.0) (pow (* i y) 2.0))) (+ (* c t) (* i y)))) (- (* x (- (* z y) (* a t))) (- (* b (- (* z c) (* a i))) (* (- (* c t) (* y i)) j)))))))

  (+ (- (* x (- (* y z) (* t a))) (* b (- (* c z) (* i a)))) (* j (- (* c t) (* i y)))))