Linear.Matrix:det33 from linear-1.19.1.3

Average Accuracy: 80.9% → 93.1%

Time: 57.7s

Precision: binary64

Cost: 25225

Math

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

↓

\[\begin{array}{l} t_1 := b \cdot \left(a \cdot i - z \cdot c\right)\\ t_2 := y \cdot z - t \cdot a\\ t_3 := t \cdot c - y \cdot i\\ t_4 := \left(x \cdot t_2 + t_1\right) + j \cdot t_3\\ \mathbf{if}\;t_4 \leq -4 \cdot 10^{+304} \lor \neg \left(t_4 \leq 2 \cdot 10^{+302}\right):\\ \;\;\;\;\left(\left(c \cdot \left(t \cdot j\right) + y \cdot \left(x \cdot z\right)\right) + i \cdot \left(a \cdot b - y \cdot j\right)\right) - c \cdot \left(z \cdot b\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(x, t_2, \mathsf{fma}\left(j, t_3, b \cdot \mathsf{fma}\left(-c, z, z \cdot c\right) + t_1\right)\right)\\ \end{array} \]

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 (* b (- (* a i) (* z c))))
        (t_2 (- (* y z) (* t a)))
        (t_3 (- (* t c) (* y i)))
        (t_4 (+ (+ (* x t_2) t_1) (* j t_3))))
   (if (or (<= t_4 -4e+304) (not (<= t_4 2e+302)))
     (-
      (+ (+ (* c (* t j)) (* y (* x z))) (* i (- (* a b) (* y j))))
      (* c (* z b)))
     (fma x t_2 (fma j t_3 (+ (* b (fma (- c) z (* z c))) t_1))))))

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 = b * ((a * i) - (z * c));
	double t_2 = (y * z) - (t * a);
	double t_3 = (t * c) - (y * i);
	double t_4 = ((x * t_2) + t_1) + (j * t_3);
	double tmp;
	if ((t_4 <= -4e+304) || !(t_4 <= 2e+302)) {
		tmp = (((c * (t * j)) + (y * (x * z))) + (i * ((a * b) - (y * j)))) - (c * (z * b));
	} else {
		tmp = fma(x, t_2, fma(j, t_3, ((b * fma(-c, z, (z * c))) + t_1)));
	}
	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(b * Float64(Float64(a * i) - Float64(z * c)))
	t_2 = Float64(Float64(y * z) - Float64(t * a))
	t_3 = Float64(Float64(t * c) - Float64(y * i))
	t_4 = Float64(Float64(Float64(x * t_2) + t_1) + Float64(j * t_3))
	tmp = 0.0
	if ((t_4 <= -4e+304) || !(t_4 <= 2e+302))
		tmp = Float64(Float64(Float64(Float64(c * Float64(t * j)) + Float64(y * Float64(x * z))) + Float64(i * Float64(Float64(a * b) - Float64(y * j)))) - Float64(c * Float64(z * b)));
	else
		tmp = fma(x, t_2, fma(j, t_3, Float64(Float64(b * fma(Float64(-c), z, Float64(z * c))) + t_1)));
	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[(b * N[(N[(a * i), $MachinePrecision] - N[(z * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(y * z), $MachinePrecision] - N[(t * a), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(t * c), $MachinePrecision] - N[(y * i), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(x * t$95$2), $MachinePrecision] + t$95$1), $MachinePrecision] + N[(j * t$95$3), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[t$95$4, -4e+304], N[Not[LessEqual[t$95$4, 2e+302]], $MachinePrecision]], N[(N[(N[(N[(c * N[(t * j), $MachinePrecision]), $MachinePrecision] + N[(y * N[(x * z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(i * N[(N[(a * b), $MachinePrecision] - N[(y * j), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(c * N[(z * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(x * t$95$2 + N[(j * t$95$3 + N[(N[(b * N[((-c) * z + N[(z * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]

Target

Original	80.9%
Target	74.6%
Herbie	93.1%

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

Derivation

1. Split input into 2 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)))) < -3.9999999999999998e304 or 2.0000000000000002e302 < (+.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 6.3%

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

   2. Simplified 6.3%

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

      [Start] 6.3	\[ \left(x \cdot \left(y \cdot z - t \cdot a\right) - b \cdot \left(c \cdot z - i \cdot a\right)\right) + j \cdot \left(c \cdot t - i \cdot y\right) \]
      +-commutative [=>] 6.3	\[ \color{blue}{j \cdot \left(c \cdot t - i \cdot y\right) + \left(x \cdot \left(y \cdot z - t \cdot a\right) - b \cdot \left(c \cdot z - i \cdot a\right)\right)} \]
      fma-def [=>] 6.3	\[ \color{blue}{\mathsf{fma}\left(j, c \cdot t - i \cdot y, x \cdot \left(y \cdot z - t \cdot a\right) - b \cdot \left(c \cdot z - i \cdot a\right)\right)} \]
      *-commutative [=>] 6.3	\[ \mathsf{fma}\left(j, c \cdot t - \color{blue}{y \cdot i}, x \cdot \left(y \cdot z - t \cdot a\right) - b \cdot \left(c \cdot z - i \cdot a\right)\right) \]
      *-commutative [=>] 6.3	\[ \mathsf{fma}\left(j, \color{blue}{t \cdot c} - y \cdot i, x \cdot \left(y \cdot z - t \cdot a\right) - b \cdot \left(c \cdot z - i \cdot a\right)\right) \]
      *-commutative [=>] 6.3	\[ \mathsf{fma}\left(j, t \cdot c - y \cdot i, x \cdot \left(y \cdot z - t \cdot a\right) - b \cdot \left(c \cdot z - \color{blue}{a \cdot i}\right)\right) \]
      *-commutative [=>] 6.3	\[ \mathsf{fma}\left(j, t \cdot c - y \cdot i, x \cdot \left(y \cdot z - t \cdot a\right) - b \cdot \left(\color{blue}{z \cdot c} - a \cdot i\right)\right) \]

   3. Taylor expanded in i around -inf 60.7%

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

   4. Taylor expanded in y around inf 69.3%

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

   if -3.9999999999999998e304 < (+.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)))) < 2.0000000000000002e302

   1. Initial program 98.8%

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

   2. Simplified 98.8%

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

      [Start] 98.8	\[ \left(x \cdot \left(y \cdot z - t \cdot a\right) - b \cdot \left(c \cdot z - i \cdot a\right)\right) + j \cdot \left(c \cdot t - i \cdot y\right) \]
      sub-neg [=>] 98.8	\[ \color{blue}{\left(x \cdot \left(y \cdot z - t \cdot a\right) + \left(-b \cdot \left(c \cdot z - i \cdot a\right)\right)\right)} + j \cdot \left(c \cdot t - i \cdot y\right) \]
      associate-+l+ [=>] 98.8	\[ \color{blue}{x \cdot \left(y \cdot z - t \cdot a\right) + \left(\left(-b \cdot \left(c \cdot z - i \cdot a\right)\right) + j \cdot \left(c \cdot t - i \cdot y\right)\right)} \]
      fma-def [=>] 98.8	\[ \color{blue}{\mathsf{fma}\left(x, y \cdot z - t \cdot a, \left(-b \cdot \left(c \cdot z - i \cdot a\right)\right) + j \cdot \left(c \cdot t - i \cdot y\right)\right)} \]
      +-commutative [=>] 98.8	\[ \mathsf{fma}\left(x, y \cdot z - t \cdot a, \color{blue}{j \cdot \left(c \cdot t - i \cdot y\right) + \left(-b \cdot \left(c \cdot z - i \cdot a\right)\right)}\right) \]
      fma-def [=>] 98.8	\[ \mathsf{fma}\left(x, y \cdot z - t \cdot a, \color{blue}{\mathsf{fma}\left(j, c \cdot t - i \cdot y, -b \cdot \left(c \cdot z - i \cdot a\right)\right)}\right) \]
      *-commutative [=>] 98.8	\[ \mathsf{fma}\left(x, y \cdot z - t \cdot a, \mathsf{fma}\left(j, c \cdot t - \color{blue}{y \cdot i}, -b \cdot \left(c \cdot z - i \cdot a\right)\right)\right) \]
      *-commutative [=>] 98.8	\[ \mathsf{fma}\left(x, y \cdot z - t \cdot a, \mathsf{fma}\left(j, \color{blue}{t \cdot c} - y \cdot i, -b \cdot \left(c \cdot z - i \cdot a\right)\right)\right) \]
      distribute-rgt-neg-in [=>] 98.8	\[ \mathsf{fma}\left(x, y \cdot z - t \cdot a, \mathsf{fma}\left(j, t \cdot c - y \cdot i, \color{blue}{b \cdot \left(-\left(c \cdot z - i \cdot a\right)\right)}\right)\right) \]
      sub-neg [=>] 98.8	\[ \mathsf{fma}\left(x, y \cdot z - t \cdot a, \mathsf{fma}\left(j, t \cdot c - y \cdot i, b \cdot \left(-\color{blue}{\left(c \cdot z + \left(-i \cdot a\right)\right)}\right)\right)\right) \]
      +-commutative [=>] 98.8	\[ \mathsf{fma}\left(x, y \cdot z - t \cdot a, \mathsf{fma}\left(j, t \cdot c - y \cdot i, b \cdot \left(-\color{blue}{\left(\left(-i \cdot a\right) + c \cdot z\right)}\right)\right)\right) \]
      distribute-neg-in [=>] 98.8	\[ \mathsf{fma}\left(x, y \cdot z - t \cdot a, \mathsf{fma}\left(j, t \cdot c - y \cdot i, b \cdot \color{blue}{\left(\left(-\left(-i \cdot a\right)\right) + \left(-c \cdot z\right)\right)}\right)\right) \]
      unsub-neg [=>] 98.8	\[ \mathsf{fma}\left(x, y \cdot z - t \cdot a, \mathsf{fma}\left(j, t \cdot c - y \cdot i, b \cdot \color{blue}{\left(\left(-\left(-i \cdot a\right)\right) - c \cdot z\right)}\right)\right) \]
      remove-double-neg [=>] 98.8	\[ \mathsf{fma}\left(x, y \cdot z - t \cdot a, \mathsf{fma}\left(j, t \cdot c - y \cdot i, b \cdot \left(\color{blue}{i \cdot a} - c \cdot z\right)\right)\right) \]
      *-commutative [=>] 98.8	\[ \mathsf{fma}\left(x, y \cdot z - t \cdot a, \mathsf{fma}\left(j, t \cdot c - y \cdot i, b \cdot \left(\color{blue}{a \cdot i} - c \cdot z\right)\right)\right) \]
      *-commutative [=>] 98.8	\[ \mathsf{fma}\left(x, y \cdot z - t \cdot a, \mathsf{fma}\left(j, t \cdot c - y \cdot i, b \cdot \left(a \cdot i - \color{blue}{z \cdot c}\right)\right)\right) \]

   3. Applied egg-rr 98.9%

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

      [Start] 98.8	\[ \mathsf{fma}\left(x, y \cdot z - t \cdot a, \mathsf{fma}\left(j, t \cdot c - y \cdot i, b \cdot \left(a \cdot i - z \cdot c\right)\right)\right) \]
      prod-diff [=>] 98.8	\[ \mathsf{fma}\left(x, y \cdot z - t \cdot a, \mathsf{fma}\left(j, t \cdot c - y \cdot i, b \cdot \color{blue}{\left(\mathsf{fma}\left(a, i, -c \cdot z\right) + \mathsf{fma}\left(-c, z, c \cdot z\right)\right)}\right)\right) \]
      *-commutative [<=] 98.8	\[ \mathsf{fma}\left(x, y \cdot z - t \cdot a, \mathsf{fma}\left(j, t \cdot c - y \cdot i, b \cdot \left(\mathsf{fma}\left(a, i, -\color{blue}{z \cdot c}\right) + \mathsf{fma}\left(-c, z, c \cdot z\right)\right)\right)\right) \]
      fma-neg [<=] 98.8	\[ \mathsf{fma}\left(x, y \cdot z - t \cdot a, \mathsf{fma}\left(j, t \cdot c - y \cdot i, b \cdot \left(\color{blue}{\left(a \cdot i - z \cdot c\right)} + \mathsf{fma}\left(-c, z, c \cdot z\right)\right)\right)\right) \]
      distribute-rgt-in [=>] 98.9	\[ \mathsf{fma}\left(x, y \cdot z - t \cdot a, \mathsf{fma}\left(j, t \cdot c - y \cdot i, \color{blue}{\left(a \cdot i - z \cdot c\right) \cdot b + \mathsf{fma}\left(-c, z, c \cdot z\right) \cdot b}\right)\right) \]
      *-commutative [<=] 98.9	\[ \mathsf{fma}\left(x, y \cdot z - t \cdot a, \mathsf{fma}\left(j, t \cdot c - y \cdot i, \color{blue}{b \cdot \left(a \cdot i - z \cdot c\right)} + \mathsf{fma}\left(-c, z, c \cdot z\right) \cdot b\right)\right) \]
      *-commutative [<=] 98.9	\[ \mathsf{fma}\left(x, y \cdot z - t \cdot a, \mathsf{fma}\left(j, t \cdot c - y \cdot i, b \cdot \left(a \cdot i - z \cdot c\right) + \mathsf{fma}\left(-c, z, \color{blue}{z \cdot c}\right) \cdot b\right)\right) \]

3. Recombined 2 regimes into one program.

4. Final simplification 93.1%

   \[\leadsto \begin{array}{l} \mathbf{if}\;\left(x \cdot \left(y \cdot z - t \cdot a\right) + b \cdot \left(a \cdot i - z \cdot c\right)\right) + j \cdot \left(t \cdot c - y \cdot i\right) \leq -4 \cdot 10^{+304} \lor \neg \left(\left(x \cdot \left(y \cdot z - t \cdot a\right) + b \cdot \left(a \cdot i - z \cdot c\right)\right) + j \cdot \left(t \cdot c - y \cdot i\right) \leq 2 \cdot 10^{+302}\right):\\ \;\;\;\;\left(\left(c \cdot \left(t \cdot j\right) + y \cdot \left(x \cdot z\right)\right) + i \cdot \left(a \cdot b - y \cdot j\right)\right) - c \cdot \left(z \cdot b\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(x, y \cdot z - t \cdot a, \mathsf{fma}\left(j, t \cdot c - y \cdot i, b \cdot \mathsf{fma}\left(-c, z, z \cdot c\right) + b \cdot \left(a \cdot i - z \cdot c\right)\right)\right)\\ \end{array} \]

Alternatives

Alternative 1
Accuracy	93.1%
Cost	12681

\[\begin{array}{l} t_1 := b \cdot \left(a \cdot i - z \cdot c\right)\\ t_2 := x \cdot \left(y \cdot z - t \cdot a\right)\\ t_3 := j \cdot \left(t \cdot c - y \cdot i\right)\\ t_4 := \left(t_2 + t_1\right) + t_3\\ \mathbf{if}\;t_4 \leq -4 \cdot 10^{+304} \lor \neg \left(t_4 \leq 2 \cdot 10^{+302}\right):\\ \;\;\;\;\left(\left(c \cdot \left(t \cdot j\right) + y \cdot \left(x \cdot z\right)\right) + i \cdot \left(a \cdot b - y \cdot j\right)\right) - c \cdot \left(z \cdot b\right)\\ \mathbf{else}:\\ \;\;\;\;\left(\left(t_2 + x \cdot \mathsf{fma}\left(-a, t, t \cdot a\right)\right) + t_1\right) + t_3\\ \end{array} \]

Alternative 2
Accuracy	93.1%
Cost	11977

\[\begin{array}{l} t_1 := t \cdot c - y \cdot i\\ t_2 := x \cdot \left(y \cdot z - t \cdot a\right) + b \cdot \left(a \cdot i - z \cdot c\right)\\ t_3 := t_2 + j \cdot t_1\\ \mathbf{if}\;t_3 \leq -4 \cdot 10^{+304} \lor \neg \left(t_3 \leq 2 \cdot 10^{+302}\right):\\ \;\;\;\;\left(\left(c \cdot \left(t \cdot j\right) + y \cdot \left(x \cdot z\right)\right) + i \cdot \left(a \cdot b - y \cdot j\right)\right) - c \cdot \left(z \cdot b\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(j, t_1, t_2\right)\\ \end{array} \]

Alternative 3
Accuracy	93.1%
Cost	5705

\[\begin{array}{l} t_1 := \left(x \cdot \left(y \cdot z - t \cdot a\right) + b \cdot \left(a \cdot i - z \cdot c\right)\right) + j \cdot \left(t \cdot c - y \cdot i\right)\\ \mathbf{if}\;t_1 \leq -4 \cdot 10^{+304} \lor \neg \left(t_1 \leq 2 \cdot 10^{+302}\right):\\ \;\;\;\;\left(\left(c \cdot \left(t \cdot j\right) + y \cdot \left(x \cdot z\right)\right) + i \cdot \left(a \cdot b - y \cdot j\right)\right) - c \cdot \left(z \cdot b\right)\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]

Alternative 4
Accuracy	86.1%
Cost	5704

\[\begin{array}{l} t_1 := \left(x \cdot \left(y \cdot z - t \cdot a\right) + b \cdot \left(a \cdot i - z \cdot c\right)\right) + j \cdot \left(t \cdot c - y \cdot i\right)\\ \mathbf{if}\;t_1 \leq -4 \cdot 10^{+304}:\\ \;\;\;\;y \cdot \left(x \cdot z - i \cdot j\right)\\ \mathbf{elif}\;t_1 \leq 2 \cdot 10^{+306}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;i \cdot \left(a \cdot b - y \cdot j\right)\\ \end{array} \]

Alternative 5
Accuracy	33.8%
Cost	3084

\[\begin{array}{l} t_1 := b \cdot \left(a \cdot i - z \cdot c\right)\\ t_2 := t \cdot \left(c \cdot j - x \cdot a\right)\\ t_3 := c \cdot \left(t \cdot j - z \cdot b\right)\\ t_4 := a \cdot \left(b \cdot i - x \cdot t\right)\\ t_5 := y \cdot \left(x \cdot z - i \cdot j\right)\\ t_6 := i \cdot \left(a \cdot b - y \cdot j\right)\\ \mathbf{if}\;j \leq -8 \cdot 10^{+91}:\\ \;\;\;\;j \cdot \left(y \cdot \left(-i\right)\right)\\ \mathbf{elif}\;j \leq -1.05 \cdot 10^{+24}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;j \leq -2.9 \cdot 10^{-9}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;j \leq -3.3 \cdot 10^{-53}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;j \leq -1.35 \cdot 10^{-91}:\\ \;\;\;\;t_6\\ \mathbf{elif}\;j \leq -2 \cdot 10^{-108}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;j \leq -5.5 \cdot 10^{-203}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;j \leq -7.5 \cdot 10^{-256}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;j \leq 3.85 \cdot 10^{-286}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;j \leq 3.1 \cdot 10^{-252}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;j \leq 1.5 \cdot 10^{-181}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;j \leq 1.4 \cdot 10^{-150}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;j \leq 5.2 \cdot 10^{-58}:\\ \;\;\;\;t_6\\ \mathbf{elif}\;j \leq 1.6 \cdot 10^{-47}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;j \leq 1.8 \cdot 10^{-5}:\\ \;\;\;\;t_6\\ \mathbf{elif}\;j \leq 2.9 \cdot 10^{+41}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;j \leq 1.25 \cdot 10^{+119}:\\ \;\;\;\;t_6\\ \mathbf{elif}\;j \leq 1.2 \cdot 10^{+189}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;j \leq 3.7 \cdot 10^{+304}:\\ \;\;\;\;t_5\\ \mathbf{else}:\\ \;\;\;\;a \cdot \left(x \cdot \left(-t\right)\right)\\ \end{array} \]

Alternative 6
Accuracy	61.0%
Cost	2928

\[\begin{array}{l} t_1 := b \cdot \left(a \cdot i - z \cdot c\right)\\ t_2 := x \cdot \left(y \cdot z - t \cdot a\right)\\ t_3 := j \cdot \left(t \cdot c - y \cdot i\right)\\ t_4 := t_2 + t_3\\ t_5 := i \cdot \left(a \cdot b - y \cdot j\right)\\ t_6 := t_2 + t_1\\ t_7 := i \cdot \left(a \cdot b\right) + \left(t_3 - a \cdot \left(x \cdot t\right)\right)\\ \mathbf{if}\;i \leq -1.65 \cdot 10^{+224}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;i \leq -3.4 \cdot 10^{+194}:\\ \;\;\;\;t_6\\ \mathbf{elif}\;i \leq -7.5 \cdot 10^{+42}:\\ \;\;\;\;t_7\\ \mathbf{elif}\;i \leq -1.05 \cdot 10^{-55}:\\ \;\;\;\;t_6\\ \mathbf{elif}\;i \leq -1.15 \cdot 10^{-181}:\\ \;\;\;\;\left(y \cdot \left(x \cdot z\right) + t_3\right) - c \cdot \left(z \cdot b\right)\\ \mathbf{elif}\;i \leq -1.9 \cdot 10^{-266}:\\ \;\;\;\;t_6\\ \mathbf{elif}\;i \leq 6.4 \cdot 10^{-196}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;i \leq 8.2 \cdot 10^{-160}:\\ \;\;\;\;t_3 + t_1\\ \mathbf{elif}\;i \leq 1.8 \cdot 10^{-110}:\\ \;\;\;\;t_6\\ \mathbf{elif}\;i \leq 1.55 \cdot 10^{+57}:\\ \;\;\;\;t_7\\ \mathbf{elif}\;i \leq 1.45 \cdot 10^{+88}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;i \leq 1.15 \cdot 10^{+231}:\\ \;\;\;\;t_5\\ \mathbf{else}:\\ \;\;\;\;t_7\\ \end{array} \]

Alternative 7
Accuracy	41.8%
Cost	2684

\[\begin{array}{l} t_1 := b \cdot \left(a \cdot i - z \cdot c\right)\\ t_2 := z \cdot \left(x \cdot y - b \cdot c\right)\\ t_3 := a \cdot \left(b \cdot i\right) - a \cdot \left(x \cdot t\right)\\ t_4 := j \cdot \left(t \cdot c - y \cdot i\right)\\ t_5 := x \cdot \left(y \cdot z - t \cdot a\right)\\ \mathbf{if}\;a \leq -7.6 \cdot 10^{-9}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;a \leq -1.55 \cdot 10^{-69}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;a \leq -1.3 \cdot 10^{-131}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;a \leq -1.6 \cdot 10^{-151}:\\ \;\;\;\;i \cdot \left(a \cdot b - y \cdot j\right)\\ \mathbf{elif}\;a \leq -1.05 \cdot 10^{-177}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;a \leq -1.15 \cdot 10^{-233}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;a \leq 8.5 \cdot 10^{-277}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;a \leq 5.1 \cdot 10^{-238}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;a \leq 1.9 \cdot 10^{-195}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;a \leq 1.6 \cdot 10^{-175}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;a \leq 6.5 \cdot 10^{-140}:\\ \;\;\;\;y \cdot \left(x \cdot z - i \cdot j\right)\\ \mathbf{elif}\;a \leq 2.6 \cdot 10^{-124}:\\ \;\;\;\;c \cdot \left(t \cdot j - z \cdot b\right)\\ \mathbf{elif}\;a \leq 7.2 \cdot 10^{-7}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;a \leq 1.6 \cdot 10^{+35}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;a \leq 1.25 \cdot 10^{+54}:\\ \;\;\;\;t_5\\ \mathbf{else}:\\ \;\;\;\;t_3\\ \end{array} \]

Alternative 8
Accuracy	41.8%
Cost	2556

\[\begin{array}{l} t_1 := b \cdot \left(a \cdot i - z \cdot c\right)\\ t_2 := z \cdot \left(x \cdot y - b \cdot c\right)\\ t_3 := a \cdot \left(b \cdot i - x \cdot t\right)\\ t_4 := j \cdot \left(t \cdot c - y \cdot i\right)\\ t_5 := x \cdot \left(y \cdot z - t \cdot a\right)\\ \mathbf{if}\;a \leq -7.2 \cdot 10^{-9}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;a \leq -5.4 \cdot 10^{-69}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;a \leq -2.4 \cdot 10^{-131}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;a \leq -8.5 \cdot 10^{-151}:\\ \;\;\;\;i \cdot \left(a \cdot b - y \cdot j\right)\\ \mathbf{elif}\;a \leq -6.2 \cdot 10^{-177}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;a \leq -6.4 \cdot 10^{-235}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;a \leq 8.8 \cdot 10^{-277}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;a \leq 5.1 \cdot 10^{-238}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;a \leq 7 \cdot 10^{-195}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;a \leq 2.4 \cdot 10^{-175}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;a \leq 2.1 \cdot 10^{-139}:\\ \;\;\;\;y \cdot \left(x \cdot z - i \cdot j\right)\\ \mathbf{elif}\;a \leq 1.08 \cdot 10^{-123}:\\ \;\;\;\;c \cdot \left(t \cdot j - z \cdot b\right)\\ \mathbf{elif}\;a \leq 8.5 \cdot 10^{-5}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;a \leq 1.65 \cdot 10^{+35}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;a \leq 1.25 \cdot 10^{+54}:\\ \;\;\;\;t_5\\ \mathbf{else}:\\ \;\;\;\;t_3\\ \end{array} \]

Alternative 9
Accuracy	61.8%
Cost	2532

\[\begin{array}{l} t_1 := x \cdot \left(y \cdot z - t \cdot a\right)\\ t_2 := j \cdot \left(t \cdot c - y \cdot i\right)\\ t_3 := a \cdot \left(x \cdot t\right)\\ t_4 := t_1 + b \cdot \left(a \cdot i - z \cdot c\right)\\ t_5 := i \cdot \left(a \cdot b\right) + \left(t_2 - t_3\right)\\ \mathbf{if}\;i \leq -1.65 \cdot 10^{+224}:\\ \;\;\;\;i \cdot \left(a \cdot b - y \cdot j\right)\\ \mathbf{elif}\;i \leq -3.4 \cdot 10^{+194}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;i \leq -9 \cdot 10^{+40}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;i \leq -1.1 \cdot 10^{-55}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;i \leq -3.5 \cdot 10^{-174}:\\ \;\;\;\;\left(y \cdot \left(x \cdot z\right) + t_2\right) - c \cdot \left(z \cdot b\right)\\ \mathbf{elif}\;i \leq -1.8 \cdot 10^{-266}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;i \leq 1.3 \cdot 10^{-196}:\\ \;\;\;\;t_1 + t_2\\ \mathbf{elif}\;i \leq 1.35 \cdot 10^{-161}:\\ \;\;\;\;t_2 - \left(t_3 - a \cdot \left(b \cdot i\right)\right)\\ \mathbf{elif}\;i \leq 1.55 \cdot 10^{-110}:\\ \;\;\;\;t_4\\ \mathbf{else}:\\ \;\;\;\;t_5\\ \end{array} \]

Alternative 10
Accuracy	69.7%
Cost	2392

\[\begin{array}{l} t_1 := j \cdot \left(t \cdot c - y \cdot i\right)\\ t_2 := z \cdot \left(x \cdot y - b \cdot c\right)\\ t_3 := x \cdot \left(y \cdot z - t \cdot a\right)\\ t_4 := \left(t_3 + i \cdot \left(a \cdot b\right)\right) + t_1\\ \mathbf{if}\;z \leq -4.4 \cdot 10^{+206}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;z \leq -5.5 \cdot 10^{+161}:\\ \;\;\;\;\left(y \cdot \left(x \cdot z\right) + t_1\right) - c \cdot \left(z \cdot b\right)\\ \mathbf{elif}\;z \leq -9.5 \cdot 10^{+145}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;z \leq 1.2 \cdot 10^{-162}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;z \leq 1.06 \cdot 10^{-130}:\\ \;\;\;\;t_3 + b \cdot \left(a \cdot i - z \cdot c\right)\\ \mathbf{elif}\;z \leq 3.9 \cdot 10^{+110}:\\ \;\;\;\;t_4\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \]

Alternative 11
Accuracy	39.9%
Cost	2292

\[\begin{array}{l} t_1 := t \cdot \left(c \cdot j - x \cdot a\right)\\ t_2 := i \cdot \left(a \cdot b - y \cdot j\right)\\ t_3 := c \cdot \left(t \cdot j - z \cdot b\right)\\ t_4 := y \cdot \left(x \cdot z - i \cdot j\right)\\ \mathbf{if}\;y \leq -6.8 \cdot 10^{+186}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;y \leq -1.35 \cdot 10^{+82}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;y \leq -1.1 \cdot 10^{+27}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;y \leq -3.2 \cdot 10^{-54}:\\ \;\;\;\;j \cdot \left(t \cdot c - y \cdot i\right)\\ \mathbf{elif}\;y \leq -5.2 \cdot 10^{-132}:\\ \;\;\;\;b \cdot \left(a \cdot i - z \cdot c\right)\\ \mathbf{elif}\;y \leq -3 \cdot 10^{-151}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y \leq -1.3 \cdot 10^{-219}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;y \leq -5 \cdot 10^{-265}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;y \leq 5.8 \cdot 10^{-267}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y \leq 2.4 \cdot 10^{-186}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;y \leq 1.16 \cdot 10^{-128}:\\ \;\;\;\;a \cdot \left(b \cdot i - x \cdot t\right)\\ \mathbf{elif}\;y \leq 3.25 \cdot 10^{-96}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;y \leq 1.6 \cdot 10^{-14}:\\ \;\;\;\;t_2\\ \mathbf{else}:\\ \;\;\;\;t_4\\ \end{array} \]

Alternative 12
Accuracy	42.1%
Cost	2292

\[\begin{array}{l} t_1 := b \cdot \left(a \cdot i - z \cdot c\right)\\ t_2 := z \cdot \left(x \cdot y - b \cdot c\right)\\ t_3 := y \cdot \left(x \cdot z - i \cdot j\right)\\ t_4 := j \cdot \left(t \cdot c - y \cdot i\right)\\ t_5 := a \cdot \left(b \cdot i - x \cdot t\right)\\ \mathbf{if}\;a \leq -8.5 \cdot 10^{-9}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;a \leq -4.4 \cdot 10^{-69}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;a \leq -2.05 \cdot 10^{-131}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;a \leq -6.6 \cdot 10^{-151}:\\ \;\;\;\;i \cdot \left(a \cdot b - y \cdot j\right)\\ \mathbf{elif}\;a \leq -1.46 \cdot 10^{-158}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;a \leq -1.2 \cdot 10^{-233}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;a \leq 7.8 \cdot 10^{-277}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;a \leq 1.82 \cdot 10^{-239}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;a \leq 2.5 \cdot 10^{-196}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;a \leq 1.6 \cdot 10^{-175}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;a \leq 1.4 \cdot 10^{-139}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;a \leq 2.5 \cdot 10^{-45}:\\ \;\;\;\;c \cdot \left(t \cdot j - z \cdot b\right)\\ \mathbf{elif}\;a \leq 1.75 \cdot 10^{+58}:\\ \;\;\;\;t_3\\ \mathbf{else}:\\ \;\;\;\;t_5\\ \end{array} \]

Alternative 13
Accuracy	55.9%
Cost	2272

\[\begin{array}{l} t_1 := x \cdot \left(y \cdot z - t \cdot a\right) + j \cdot \left(t \cdot c - y \cdot i\right)\\ t_2 := z \cdot \left(x \cdot y - b \cdot c\right)\\ \mathbf{if}\;z \leq -1.7 \cdot 10^{+145}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;z \leq -1.05 \cdot 10^{-270}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq 7.2 \cdot 10^{-300}:\\ \;\;\;\;a \cdot \left(b \cdot i - x \cdot t\right)\\ \mathbf{elif}\;z \leq 9 \cdot 10^{-218}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq 2.25 \cdot 10^{-170}:\\ \;\;\;\;i \cdot \left(a \cdot b - y \cdot j\right)\\ \mathbf{elif}\;z \leq 4.4 \cdot 10^{-157}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq 1.06 \cdot 10^{-130}:\\ \;\;\;\;b \cdot \left(a \cdot i - z \cdot c\right)\\ \mathbf{elif}\;z \leq 3.8 \cdot 10^{+110}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \]

Alternative 14
Accuracy	28.4%
Cost	2162

\[\begin{array}{l} t_1 := c \cdot \left(t \cdot j - z \cdot b\right)\\ t_2 := a \cdot \left(b \cdot i - x \cdot t\right)\\ \mathbf{if}\;t \leq -1.9 \cdot 10^{+230}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;t \leq -4.7 \cdot 10^{+92}:\\ \;\;\;\;t \cdot \left(c \cdot j\right)\\ \mathbf{elif}\;t \leq -1550000:\\ \;\;\;\;t_2\\ \mathbf{elif}\;t \leq -9 \cdot 10^{-17}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;t \leq -9.2 \cdot 10^{-107}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;t \leq -1.5 \cdot 10^{-168}:\\ \;\;\;\;z \cdot \left(b \cdot \left(-c\right)\right)\\ \mathbf{elif}\;t \leq -3 \cdot 10^{-222}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;t \leq 3.9 \cdot 10^{-288}:\\ \;\;\;\;i \cdot \left(y \cdot \left(-j\right)\right)\\ \mathbf{elif}\;t \leq 5.9 \cdot 10^{-164} \lor \neg \left(t \leq 6.9 \cdot 10^{-130}\right) \land \left(t \leq 7 \cdot 10^{-92} \lor \neg \left(t \leq 3.05 \cdot 10^{+88}\right)\right):\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \]

Alternative 15
Accuracy	68.3%
Cost	2008

\[\begin{array}{l} t_1 := b \cdot \left(a \cdot i - z \cdot c\right)\\ t_2 := j \cdot \left(t \cdot c - y \cdot i\right)\\ t_3 := t_2 + t_1\\ t_4 := x \cdot \left(y \cdot z - t \cdot a\right)\\ t_5 := t_4 + t_2\\ \mathbf{if}\;j \leq -2.95 \cdot 10^{+200}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;j \leq -3.3 \cdot 10^{+16}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;j \leq -6.1 \cdot 10^{-24}:\\ \;\;\;\;t_5\\ \mathbf{elif}\;j \leq -9.5 \cdot 10^{-63}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;j \leq 4.1 \cdot 10^{-56}:\\ \;\;\;\;t_4 + t_1\\ \mathbf{elif}\;j \leq 5.3 \cdot 10^{+143}:\\ \;\;\;\;t_3\\ \mathbf{else}:\\ \;\;\;\;t_5\\ \end{array} \]

Alternative 16
Accuracy	50.4%
Cost	1880

\[\begin{array}{l} t_1 := \left(y \cdot \left(x \cdot z\right) + j \cdot \left(t \cdot c\right)\right) - c \cdot \left(z \cdot b\right)\\ t_2 := x \cdot \left(y \cdot z - t \cdot a\right)\\ t_3 := i \cdot \left(a \cdot b - y \cdot j\right)\\ \mathbf{if}\;i \leq -1.3 \cdot 10^{+223}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;i \leq -3.4 \cdot 10^{+194}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;i \leq -2.25 \cdot 10^{-34}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;i \leq 5.8 \cdot 10^{-215}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;i \leq 2.85 \cdot 10^{-123}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;i \leq 5.8 \cdot 10^{-15}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;t_3\\ \end{array} \]

Alternative 17
Accuracy	50.4%
Cost	1880

\[\begin{array}{l} t_1 := c \cdot \left(z \cdot b\right)\\ t_2 := y \cdot \left(x \cdot z\right)\\ t_3 := \left(t_2 + j \cdot \left(t \cdot c\right)\right) - t_1\\ t_4 := i \cdot \left(a \cdot b - y \cdot j\right)\\ \mathbf{if}\;i \leq -6.2 \cdot 10^{+203}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;i \leq -5.5 \cdot 10^{+116}:\\ \;\;\;\;\left(t_2 - j \cdot \left(y \cdot i\right)\right) - t_1\\ \mathbf{elif}\;i \leq -4.9 \cdot 10^{-34}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;i \leq 1.8 \cdot 10^{-210}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;i \leq 8.4 \cdot 10^{-125}:\\ \;\;\;\;x \cdot \left(y \cdot z - t \cdot a\right)\\ \mathbf{elif}\;i \leq 2.3 \cdot 10^{-27}:\\ \;\;\;\;t_3\\ \mathbf{else}:\\ \;\;\;\;t_4\\ \end{array} \]

Alternative 18
Accuracy	27.7%
Cost	1633

\[\begin{array}{l} t_1 := t \cdot \left(c \cdot j\right)\\ t_2 := a \cdot \left(b \cdot i - x \cdot t\right)\\ \mathbf{if}\;t \leq -1.15 \cdot 10^{+231}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;t \leq -4.2 \cdot 10^{+92}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;t \leq -8.5 \cdot 10^{-104}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;t \leq -2.8 \cdot 10^{-168}:\\ \;\;\;\;z \cdot \left(b \cdot \left(-c\right)\right)\\ \mathbf{elif}\;t \leq -1.65 \cdot 10^{-221}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;t \leq 1.32 \cdot 10^{-176}:\\ \;\;\;\;i \cdot \left(y \cdot \left(-j\right)\right)\\ \mathbf{elif}\;t \leq 1.35 \cdot 10^{+88} \lor \neg \left(t \leq 2.6 \cdot 10^{+183}\right):\\ \;\;\;\;t_2\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]

Alternative 19
Accuracy	23.5%
Cost	1572

\[\begin{array}{l} t_1 := i \cdot \left(y \cdot \left(-j\right)\right)\\ \mathbf{if}\;i \leq -6.5 \cdot 10^{+121}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;i \leq -1.35 \cdot 10^{-71}:\\ \;\;\;\;a \cdot \left(b \cdot i\right)\\ \mathbf{elif}\;i \leq -9 \cdot 10^{-97}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;i \leq -1.5 \cdot 10^{-266}:\\ \;\;\;\;b \cdot \left(z \cdot \left(-c\right)\right)\\ \mathbf{elif}\;i \leq 4 \cdot 10^{-283}:\\ \;\;\;\;j \cdot \left(t \cdot c\right)\\ \mathbf{elif}\;i \leq 10^{-179}:\\ \;\;\;\;a \cdot \left(x \cdot \left(-t\right)\right)\\ \mathbf{elif}\;i \leq 7.2 \cdot 10^{-162}:\\ \;\;\;\;t \cdot \left(c \cdot j\right)\\ \mathbf{elif}\;i \leq 1.8 \cdot 10^{-118}:\\ \;\;\;\;z \cdot \left(b \cdot \left(-c\right)\right)\\ \mathbf{elif}\;i \leq 3.4 \cdot 10^{-36}:\\ \;\;\;\;c \cdot \left(t \cdot j\right)\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]

Alternative 20
Accuracy	68.1%
Cost	1481

\[\begin{array}{l} t_1 := j \cdot \left(t \cdot c - y \cdot i\right)\\ \mathbf{if}\;b \leq -2.95 \cdot 10^{-68} \lor \neg \left(b \leq 1.6 \cdot 10^{-24}\right):\\ \;\;\;\;t_1 + b \cdot \left(a \cdot i - z \cdot c\right)\\ \mathbf{else}:\\ \;\;\;\;x \cdot \left(y \cdot z - t \cdot a\right) + t_1\\ \end{array} \]

Alternative 21
Accuracy	21.5%
Cost	1376

\[\begin{array}{l} t_1 := t \cdot \left(c \cdot j\right)\\ t_2 := b \cdot \left(z \cdot \left(-c\right)\right)\\ t_3 := a \cdot \left(b \cdot i\right)\\ \mathbf{if}\;a \leq -15200000:\\ \;\;\;\;t_3\\ \mathbf{elif}\;a \leq -1.16 \cdot 10^{-37}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;a \leq -3.6 \cdot 10^{-178}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;a \leq 6.2 \cdot 10^{-255}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;a \leq 2.1 \cdot 10^{-64}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;a \leq 4.5 \cdot 10^{-7}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;a \leq 4.9 \cdot 10^{+92}:\\ \;\;\;\;i \cdot \left(a \cdot b\right)\\ \mathbf{elif}\;a \leq 3.8 \cdot 10^{+143}:\\ \;\;\;\;c \cdot \left(t \cdot j\right)\\ \mathbf{else}:\\ \;\;\;\;t_3\\ \end{array} \]

Alternative 22
Accuracy	43.0%
Cost	1368

\[\begin{array}{l} t_1 := t \cdot \left(c \cdot j - x \cdot a\right)\\ t_2 := c \cdot \left(t \cdot j - z \cdot b\right)\\ t_3 := i \cdot \left(a \cdot b - y \cdot j\right)\\ \mathbf{if}\;i \leq -7.2 \cdot 10^{-35}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;i \leq -1.22 \cdot 10^{-266}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;i \leq 3.3 \cdot 10^{-257}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;i \leq 1.45 \cdot 10^{-210}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;i \leq 6.5 \cdot 10^{-202}:\\ \;\;\;\;a \cdot \left(x \cdot \left(-t\right)\right)\\ \mathbf{elif}\;i \leq 0.0095:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;t_3\\ \end{array} \]

Alternative 23
Accuracy	43.2%
Cost	1368

\[\begin{array}{l} t_1 := t \cdot \left(c \cdot j - x \cdot a\right)\\ t_2 := c \cdot \left(t \cdot j - z \cdot b\right)\\ t_3 := i \cdot \left(a \cdot b - y \cdot j\right)\\ \mathbf{if}\;i \leq -1.95 \cdot 10^{-34}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;i \leq -1.2 \cdot 10^{-266}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;i \leq 5.3 \cdot 10^{-257}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;i \leq 2 \cdot 10^{-204}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;i \leq 7.6 \cdot 10^{-193}:\\ \;\;\;\;y \cdot \left(x \cdot z - i \cdot j\right)\\ \mathbf{elif}\;i \leq 0.007:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;t_3\\ \end{array} \]

Alternative 24
Accuracy	23.0%
Cost	1244

\[\begin{array}{l} t_1 := b \cdot \left(z \cdot \left(-c\right)\right)\\ t_2 := i \cdot \left(a \cdot b\right)\\ \mathbf{if}\;i \leq -1.75 \cdot 10^{-71}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;i \leq -7.5 \cdot 10^{-267}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;i \leq 6 \cdot 10^{-283}:\\ \;\;\;\;j \cdot \left(t \cdot c\right)\\ \mathbf{elif}\;i \leq 3.55 \cdot 10^{-180}:\\ \;\;\;\;a \cdot \left(x \cdot \left(-t\right)\right)\\ \mathbf{elif}\;i \leq 6.2 \cdot 10^{-158}:\\ \;\;\;\;t \cdot \left(c \cdot j\right)\\ \mathbf{elif}\;i \leq 2.25 \cdot 10^{-119}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;i \leq 0.021:\\ \;\;\;\;c \cdot \left(t \cdot j\right)\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \]

Alternative 25
Accuracy	23.0%
Cost	1244

\[\begin{array}{l} t_1 := i \cdot \left(a \cdot b\right)\\ \mathbf{if}\;i \leq -9.5 \cdot 10^{-72}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;i \leq -1.12 \cdot 10^{-266}:\\ \;\;\;\;b \cdot \left(z \cdot \left(-c\right)\right)\\ \mathbf{elif}\;i \leq 4.3 \cdot 10^{-283}:\\ \;\;\;\;j \cdot \left(t \cdot c\right)\\ \mathbf{elif}\;i \leq 1.2 \cdot 10^{-179}:\\ \;\;\;\;a \cdot \left(x \cdot \left(-t\right)\right)\\ \mathbf{elif}\;i \leq 1.4 \cdot 10^{-160}:\\ \;\;\;\;t \cdot \left(c \cdot j\right)\\ \mathbf{elif}\;i \leq 6.6 \cdot 10^{-118}:\\ \;\;\;\;z \cdot \left(b \cdot \left(-c\right)\right)\\ \mathbf{elif}\;i \leq 0.082:\\ \;\;\;\;c \cdot \left(t \cdot j\right)\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]

Alternative 26
Accuracy	42.5%
Cost	1104

\[\begin{array}{l} t_1 := c \cdot \left(t \cdot j - z \cdot b\right)\\ t_2 := i \cdot \left(a \cdot b - y \cdot j\right)\\ \mathbf{if}\;i \leq -1.86 \cdot 10^{-34}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;i \leq 2.55 \cdot 10^{-216}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;i \leq 2.15 \cdot 10^{-122}:\\ \;\;\;\;a \cdot \left(b \cdot i - x \cdot t\right)\\ \mathbf{elif}\;i \leq 2.9 \cdot 10^{-23}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \]

Alternative 27
Accuracy	22.6%
Cost	848

\[\begin{array}{l} t_1 := j \cdot \left(t \cdot c\right)\\ \mathbf{if}\;j \leq -1.65 \cdot 10^{-52}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;j \leq 1.9 \cdot 10^{-62}:\\ \;\;\;\;i \cdot \left(a \cdot b\right)\\ \mathbf{elif}\;j \leq 5 \cdot 10^{+46}:\\ \;\;\;\;c \cdot \left(t \cdot j\right)\\ \mathbf{elif}\;j \leq 1.5 \cdot 10^{+109}:\\ \;\;\;\;a \cdot \left(b \cdot i\right)\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]

Alternative 28
Accuracy	20.6%
Cost	585

\[\begin{array}{l} \mathbf{if}\;i \leq -7.5 \cdot 10^{-72} \lor \neg \left(i \leq 0.005\right):\\ \;\;\;\;a \cdot \left(b \cdot i\right)\\ \mathbf{else}:\\ \;\;\;\;c \cdot \left(t \cdot j\right)\\ \end{array} \]

Alternative 29
Accuracy	22.3%
Cost	585

\[\begin{array}{l} \mathbf{if}\;i \leq -1.9 \cdot 10^{-71} \lor \neg \left(i \leq 0.0037\right):\\ \;\;\;\;i \cdot \left(a \cdot b\right)\\ \mathbf{else}:\\ \;\;\;\;c \cdot \left(t \cdot j\right)\\ \end{array} \]

Alternative 30
Accuracy	22.5%
Cost	585

\[\begin{array}{l} \mathbf{if}\;i \leq -4.2 \cdot 10^{-72} \lor \neg \left(i \leq 0.072\right):\\ \;\;\;\;i \cdot \left(a \cdot b\right)\\ \mathbf{else}:\\ \;\;\;\;t \cdot \left(c \cdot j\right)\\ \end{array} \]

Alternative 31
Accuracy	16.4%
Cost	320

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

Reproduce

herbie shell --seed 2023147 
(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)))))