Diagrams.Solve.Polynomial:cubForm from diagrams-solve-0.1, K

Percentage Accurate: 70.2% → 77.4%

Time: 20.1s

Alternatives: 12

Speedup: 1.2×

Specification

Math

\[\begin{array}{l} \\ \left(2 \cdot \sqrt{x}\right) \cdot \cos \left(y - \frac{z \cdot t}{3}\right) - \frac{a}{b \cdot 3} \end{array} \]

FPCore

(FPCore (x y z t a b)
 :precision binary64
 (- (* (* 2.0 (sqrt x)) (cos (- y (/ (* z t) 3.0)))) (/ a (* b 3.0))))

C

double code(double x, double y, double z, double t, double a, double b) {
	return ((2.0 * sqrt(x)) * cos((y - ((z * t) / 3.0)))) - (a / (b * 3.0));
}

Fortran

real(8) function code(x, y, z, t, a, b)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    real(8), intent (in) :: t
    real(8), intent (in) :: a
    real(8), intent (in) :: b
    code = ((2.0d0 * sqrt(x)) * cos((y - ((z * t) / 3.0d0)))) - (a / (b * 3.0d0))
end function

Java

public static double code(double x, double y, double z, double t, double a, double b) {
	return ((2.0 * Math.sqrt(x)) * Math.cos((y - ((z * t) / 3.0)))) - (a / (b * 3.0));
}

Python

def code(x, y, z, t, a, b):
	return ((2.0 * math.sqrt(x)) * math.cos((y - ((z * t) / 3.0)))) - (a / (b * 3.0))

Julia

function code(x, y, z, t, a, b)
	return Float64(Float64(Float64(2.0 * sqrt(x)) * cos(Float64(y - Float64(Float64(z * t) / 3.0)))) - Float64(a / Float64(b * 3.0)))
end

MATLAB

function tmp = code(x, y, z, t, a, b)
	tmp = ((2.0 * sqrt(x)) * cos((y - ((z * t) / 3.0)))) - (a / (b * 3.0));
end

Wolfram

code[x_, y_, z_, t_, a_, b_] := N[(N[(N[(2.0 * N[Sqrt[x], $MachinePrecision]), $MachinePrecision] * N[Cos[N[(y - N[(N[(z * t), $MachinePrecision] / 3.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(a / N[(b * 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Initial Program: 70.2% accurate, 1.0× speedup

Math

\[\begin{array}{l} \\ \left(2 \cdot \sqrt{x}\right) \cdot \cos \left(y - \frac{z \cdot t}{3}\right) - \frac{a}{b \cdot 3} \end{array} \]

FPCore

(FPCore (x y z t a b)
 :precision binary64
 (- (* (* 2.0 (sqrt x)) (cos (- y (/ (* z t) 3.0)))) (/ a (* b 3.0))))

C

double code(double x, double y, double z, double t, double a, double b) {
	return ((2.0 * sqrt(x)) * cos((y - ((z * t) / 3.0)))) - (a / (b * 3.0));
}

Fortran

real(8) function code(x, y, z, t, a, b)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    real(8), intent (in) :: t
    real(8), intent (in) :: a
    real(8), intent (in) :: b
    code = ((2.0d0 * sqrt(x)) * cos((y - ((z * t) / 3.0d0)))) - (a / (b * 3.0d0))
end function

Java

public static double code(double x, double y, double z, double t, double a, double b) {
	return ((2.0 * Math.sqrt(x)) * Math.cos((y - ((z * t) / 3.0)))) - (a / (b * 3.0));
}

Python

def code(x, y, z, t, a, b):
	return ((2.0 * math.sqrt(x)) * math.cos((y - ((z * t) / 3.0)))) - (a / (b * 3.0))

Julia

function code(x, y, z, t, a, b)
	return Float64(Float64(Float64(2.0 * sqrt(x)) * cos(Float64(y - Float64(Float64(z * t) / 3.0)))) - Float64(a / Float64(b * 3.0)))
end

MATLAB

function tmp = code(x, y, z, t, a, b)
	tmp = ((2.0 * sqrt(x)) * cos((y - ((z * t) / 3.0)))) - (a / (b * 3.0));
end

Wolfram

code[x_, y_, z_, t_, a_, b_] := N[(N[(N[(2.0 * N[Sqrt[x], $MachinePrecision]), $MachinePrecision] * N[Cos[N[(y - N[(N[(z * t), $MachinePrecision] / 3.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(a / N[(b * 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Alternative 1: 77.4% accurate, 0.3× speedup

Math

\[\begin{array}{l} [x, y, z, t, a, b] = \mathsf{sort}([x, y, z, t, a, b])\\ \\ \begin{array}{l} \mathbf{if}\;\cos \left(y - \frac{z \cdot t}{3}\right) \leq 0.999:\\ \;\;\;\;\left(2 \cdot \sqrt{x}\right) \cdot \left(\cos y \cdot \cos \left(z \cdot \left(t \cdot 0.3333333333333333\right)\right) - \sin \left(t \cdot \left(z \cdot -0.3333333333333333\right)\right) \cdot \sin y\right) - \frac{a}{3 \cdot b}\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(\sqrt{x} \cdot 1, 2, \frac{a}{b \cdot -3}\right)\\ \end{array} \end{array} \]

FPCore

NOTE: x, y, z, t, a, and b should be sorted in increasing order before calling this function.
(FPCore (x y z t a b)
 :precision binary64
 (if (<= (cos (- y (/ (* z t) 3.0))) 0.999)
   (-
    (*
     (* 2.0 (sqrt x))
     (-
      (* (cos y) (cos (* z (* t 0.3333333333333333))))
      (* (sin (* t (* z -0.3333333333333333))) (sin y))))
    (/ a (* 3.0 b)))
   (fma (* (sqrt x) 1.0) 2.0 (/ a (* b -3.0)))))

C

assert(x < y && y < z && z < t && t < a && a < b);
double code(double x, double y, double z, double t, double a, double b) {
	double tmp;
	if (cos((y - ((z * t) / 3.0))) <= 0.999) {
		tmp = ((2.0 * sqrt(x)) * ((cos(y) * cos((z * (t * 0.3333333333333333)))) - (sin((t * (z * -0.3333333333333333))) * sin(y)))) - (a / (3.0 * b));
	} else {
		tmp = fma((sqrt(x) * 1.0), 2.0, (a / (b * -3.0)));
	}
	return tmp;
}

Julia

x, y, z, t, a, b = sort([x, y, z, t, a, b])
function code(x, y, z, t, a, b)
	tmp = 0.0
	if (cos(Float64(y - Float64(Float64(z * t) / 3.0))) <= 0.999)
		tmp = Float64(Float64(Float64(2.0 * sqrt(x)) * Float64(Float64(cos(y) * cos(Float64(z * Float64(t * 0.3333333333333333)))) - Float64(sin(Float64(t * Float64(z * -0.3333333333333333))) * sin(y)))) - Float64(a / Float64(3.0 * b)));
	else
		tmp = fma(Float64(sqrt(x) * 1.0), 2.0, Float64(a / Float64(b * -3.0)));
	end
	return tmp
end

Wolfram

NOTE: x, y, z, t, a, and b should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_, a_, b_] := If[LessEqual[N[Cos[N[(y - N[(N[(z * t), $MachinePrecision] / 3.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 0.999], N[(N[(N[(2.0 * N[Sqrt[x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[y], $MachinePrecision] * N[Cos[N[(z * N[(t * 0.3333333333333333), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[N[(t * N[(z * -0.3333333333333333), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Sin[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(a / N[(3.0 * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[x], $MachinePrecision] * 1.0), $MachinePrecision] * 2.0 + N[(a / N[(b * -3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if (cos.f64 (-.f64 y (/.f64 (*.f64 z t) #s(literal 3 binary64)))) < 0.998999999999999999

   1. Initial program 74.1%

      \[\left(2 \cdot \sqrt{x}\right) \cdot \cos \left(y - \frac{z \cdot t}{3}\right) - \frac{a}{b \cdot 3} \]
   2. Add Preprocessing
   3. Step-by-step derivation

      1. lift-cos.f64 N/A

         \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \color{blue}{\cos \left(y - \frac{z \cdot t}{3}\right)} - \frac{a}{b \cdot 3} \]

      2. lift--.f64 N/A

         \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \cos \color{blue}{\left(y - \frac{z \cdot t}{3}\right)} - \frac{a}{b \cdot 3} \]

      3. sub-neg N/A

         \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \cos \color{blue}{\left(y + \left(\mathsf{neg}\left(\frac{z \cdot t}{3}\right)\right)\right)} - \frac{a}{b \cdot 3} \]

      4. +-commutative N/A

         \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \cos \color{blue}{\left(\left(\mathsf{neg}\left(\frac{z \cdot t}{3}\right)\right) + y\right)} - \frac{a}{b \cdot 3} \]

      5. cos-sum N/A

         \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \color{blue}{\left(\cos \left(\mathsf{neg}\left(\frac{z \cdot t}{3}\right)\right) \cdot \cos y - \sin \left(\mathsf{neg}\left(\frac{z \cdot t}{3}\right)\right) \cdot \sin y\right)} - \frac{a}{b \cdot 3} \]

      6. cos-neg N/A

         \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \left(\color{blue}{\cos \left(\frac{z \cdot t}{3}\right)} \cdot \cos y - \sin \left(\mathsf{neg}\left(\frac{z \cdot t}{3}\right)\right) \cdot \sin y\right) - \frac{a}{b \cdot 3} \]

      7. *-commutative N/A

         \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \left(\color{blue}{\cos y \cdot \cos \left(\frac{z \cdot t}{3}\right)} - \sin \left(\mathsf{neg}\left(\frac{z \cdot t}{3}\right)\right) \cdot \sin y\right) - \frac{a}{b \cdot 3} \]

      8. lower--.f64 N/A

         \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \color{blue}{\left(\cos y \cdot \cos \left(\frac{z \cdot t}{3}\right) - \sin \left(\mathsf{neg}\left(\frac{z \cdot t}{3}\right)\right) \cdot \sin y\right)} - \frac{a}{b \cdot 3} \]

      9. lower-*.f64 N/A

         \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \left(\color{blue}{\cos y \cdot \cos \left(\frac{z \cdot t}{3}\right)} - \sin \left(\mathsf{neg}\left(\frac{z \cdot t}{3}\right)\right) \cdot \sin y\right) - \frac{a}{b \cdot 3} \]

      10. lower-cos.f64 N/A

          \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \left(\color{blue}{\cos y} \cdot \cos \left(\frac{z \cdot t}{3}\right) - \sin \left(\mathsf{neg}\left(\frac{z \cdot t}{3}\right)\right) \cdot \sin y\right) - \frac{a}{b \cdot 3} \]

      11. lower-cos.f64 N/A

          \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \left(\cos y \cdot \color{blue}{\cos \left(\frac{z \cdot t}{3}\right)} - \sin \left(\mathsf{neg}\left(\frac{z \cdot t}{3}\right)\right) \cdot \sin y\right) - \frac{a}{b \cdot 3} \]

      12. lift-/.f64 N/A

          \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \left(\cos y \cdot \cos \color{blue}{\left(\frac{z \cdot t}{3}\right)} - \sin \left(\mathsf{neg}\left(\frac{z \cdot t}{3}\right)\right) \cdot \sin y\right) - \frac{a}{b \cdot 3} \]

      13. lift-*.f64 N/A

          \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \left(\cos y \cdot \cos \left(\frac{\color{blue}{z \cdot t}}{3}\right) - \sin \left(\mathsf{neg}\left(\frac{z \cdot t}{3}\right)\right) \cdot \sin y\right) - \frac{a}{b \cdot 3} \]

      14. associate-/l* N/A

          \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \left(\cos y \cdot \cos \color{blue}{\left(z \cdot \frac{t}{3}\right)} - \sin \left(\mathsf{neg}\left(\frac{z \cdot t}{3}\right)\right) \cdot \sin y\right) - \frac{a}{b \cdot 3} \]

      15. lower-*.f64 N/A

          \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \left(\cos y \cdot \cos \color{blue}{\left(z \cdot \frac{t}{3}\right)} - \sin \left(\mathsf{neg}\left(\frac{z \cdot t}{3}\right)\right) \cdot \sin y\right) - \frac{a}{b \cdot 3} \]

      16. div-inv N/A

          \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \left(\cos y \cdot \cos \left(z \cdot \color{blue}{\left(t \cdot \frac{1}{3}\right)}\right) - \sin \left(\mathsf{neg}\left(\frac{z \cdot t}{3}\right)\right) \cdot \sin y\right) - \frac{a}{b \cdot 3} \]

      17. lower-*.f64 N/A

          \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \left(\cos y \cdot \cos \left(z \cdot \color{blue}{\left(t \cdot \frac{1}{3}\right)}\right) - \sin \left(\mathsf{neg}\left(\frac{z \cdot t}{3}\right)\right) \cdot \sin y\right) - \frac{a}{b \cdot 3} \]

      18. metadata-eval N/A

          \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \left(\cos y \cdot \cos \left(z \cdot \left(t \cdot \color{blue}{\frac{1}{3}}\right)\right) - \sin \left(\mathsf{neg}\left(\frac{z \cdot t}{3}\right)\right) \cdot \sin y\right) - \frac{a}{b \cdot 3} \]

   4. Applied rewrites 76.3%

      \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \color{blue}{\left(\cos y \cdot \cos \left(z \cdot \left(t \cdot 0.3333333333333333\right)\right) - \sin \left(t \cdot \left(z \cdot -0.3333333333333333\right)\right) \cdot \sin y\right)} - \frac{a}{b \cdot 3} \]

   if 0.998999999999999999 < (cos.f64 (-.f64 y (/.f64 (*.f64 z t) #s(literal 3 binary64))))

   1. Initial program 67.7%

      \[\left(2 \cdot \sqrt{x}\right) \cdot \cos \left(y - \frac{z \cdot t}{3}\right) - \frac{a}{b \cdot 3} \]
   2. Add Preprocessing

   3. Taylor expanded in z around 0

      \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \color{blue}{\cos y} - \frac{a}{b \cdot 3} \]
   4. Step-by-step derivation

      1. lower-cos.f64 87.1

         \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \color{blue}{\cos y} - \frac{a}{b \cdot 3} \]

   5. Applied rewrites 87.1%

      \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \color{blue}{\cos y} - \frac{a}{b \cdot 3} \]
   6. Step-by-step derivation

      1. lift--.f64 N/A

         \[\leadsto \color{blue}{\left(2 \cdot \sqrt{x}\right) \cdot \cos y - \frac{a}{b \cdot 3}} \]

      2. sub-neg N/A

         \[\leadsto \color{blue}{\left(2 \cdot \sqrt{x}\right) \cdot \cos y + \left(\mathsf{neg}\left(\frac{a}{b \cdot 3}\right)\right)} \]

      3. lift-*.f64 N/A

         \[\leadsto \color{blue}{\left(2 \cdot \sqrt{x}\right) \cdot \cos y} + \left(\mathsf{neg}\left(\frac{a}{b \cdot 3}\right)\right) \]

      4. lift-*.f64 N/A

         \[\leadsto \color{blue}{\left(2 \cdot \sqrt{x}\right)} \cdot \cos y + \left(\mathsf{neg}\left(\frac{a}{b \cdot 3}\right)\right) \]

      5. associate-*l* N/A

         \[\leadsto \color{blue}{2 \cdot \left(\sqrt{x} \cdot \cos y\right)} + \left(\mathsf{neg}\left(\frac{a}{b \cdot 3}\right)\right) \]

      6. *-commutative N/A

         \[\leadsto \color{blue}{\left(\sqrt{x} \cdot \cos y\right) \cdot 2} + \left(\mathsf{neg}\left(\frac{a}{b \cdot 3}\right)\right) \]

      7. lower-fma.f64 N/A

         \[\leadsto \color{blue}{\mathsf{fma}\left(\sqrt{x} \cdot \cos y, 2, \mathsf{neg}\left(\frac{a}{b \cdot 3}\right)\right)} \]

      8. lower-*.f64 N/A

         \[\leadsto \mathsf{fma}\left(\color{blue}{\sqrt{x} \cdot \cos y}, 2, \mathsf{neg}\left(\frac{a}{b \cdot 3}\right)\right) \]

      9. lift-/.f64 N/A

         \[\leadsto \mathsf{fma}\left(\sqrt{x} \cdot \cos y, 2, \mathsf{neg}\left(\color{blue}{\frac{a}{b \cdot 3}}\right)\right) \]

      10. distribute-neg-frac2 N/A

          \[\leadsto \mathsf{fma}\left(\sqrt{x} \cdot \cos y, 2, \color{blue}{\frac{a}{\mathsf{neg}\left(b \cdot 3\right)}}\right) \]

      11. lower-/.f64 N/A

          \[\leadsto \mathsf{fma}\left(\sqrt{x} \cdot \cos y, 2, \color{blue}{\frac{a}{\mathsf{neg}\left(b \cdot 3\right)}}\right) \]

      12. lift-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(\sqrt{x} \cdot \cos y, 2, \frac{a}{\mathsf{neg}\left(\color{blue}{b \cdot 3}\right)}\right) \]

      13. distribute-rgt-neg-in N/A

          \[\leadsto \mathsf{fma}\left(\sqrt{x} \cdot \cos y, 2, \frac{a}{\color{blue}{b \cdot \left(\mathsf{neg}\left(3\right)\right)}}\right) \]

      14. lower-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(\sqrt{x} \cdot \cos y, 2, \frac{a}{\color{blue}{b \cdot \left(\mathsf{neg}\left(3\right)\right)}}\right) \]

      15. metadata-eval 87.1

          \[\leadsto \mathsf{fma}\left(\sqrt{x} \cdot \cos y, 2, \frac{a}{b \cdot \color{blue}{-3}}\right) \]

   7. Applied rewrites 87.1%

      \[\leadsto \color{blue}{\mathsf{fma}\left(\sqrt{x} \cdot \cos y, 2, \frac{a}{b \cdot -3}\right)} \]

   8. Taylor expanded in y around 0

      \[\leadsto \mathsf{fma}\left(\sqrt{x} \cdot 1, 2, \frac{a}{b \cdot -3}\right) \]
   9. Step-by-step derivation

   10. Applied rewrites 87.7%

       \[\leadsto \mathsf{fma}\left(\sqrt{x} \cdot 1, 2, \frac{a}{b \cdot -3}\right) \]
3. Recombined 2 regimes into one program.

4. Final simplification 81.3%

   \[\leadsto \begin{array}{l} \mathbf{if}\;\cos \left(y - \frac{z \cdot t}{3}\right) \leq 0.999:\\ \;\;\;\;\left(2 \cdot \sqrt{x}\right) \cdot \left(\cos y \cdot \cos \left(z \cdot \left(t \cdot 0.3333333333333333\right)\right) - \sin \left(t \cdot \left(z \cdot -0.3333333333333333\right)\right) \cdot \sin y\right) - \frac{a}{3 \cdot b}\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(\sqrt{x} \cdot 1, 2, \frac{a}{b \cdot -3}\right)\\ \end{array} \]
5. Add Preprocessing

Alternative 2: 77.4% accurate, 0.3× speedup

Math

\[\begin{array}{l} [x, y, z, t, a, b] = \mathsf{sort}([x, y, z, t, a, b])\\ \\ \begin{array}{l} t_1 := 2 \cdot \sqrt{x}\\ t_2 := z \cdot \left(t \cdot 0.3333333333333333\right)\\ \mathbf{if}\;\cos \left(y - \frac{z \cdot t}{3}\right) \cdot t\_1 - \frac{a}{3 \cdot b} \leq 5 \cdot 10^{+143}:\\ \;\;\;\;\mathsf{fma}\left(\mathsf{fma}\left(\cos t\_2, \cos y, \sin y \cdot \sin t\_2\right), t\_1, \frac{-0.3333333333333333 \cdot a}{b}\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(\sqrt{x} \cdot 1, 2, \frac{a}{b \cdot -3}\right)\\ \end{array} \end{array} \]

FPCore

NOTE: x, y, z, t, a, and b should be sorted in increasing order before calling this function.
(FPCore (x y z t a b)
 :precision binary64
 (let* ((t_1 (* 2.0 (sqrt x))) (t_2 (* z (* t 0.3333333333333333))))
   (if (<= (- (* (cos (- y (/ (* z t) 3.0))) t_1) (/ a (* 3.0 b))) 5e+143)
     (fma
      (fma (cos t_2) (cos y) (* (sin y) (sin t_2)))
      t_1
      (/ (* -0.3333333333333333 a) b))
     (fma (* (sqrt x) 1.0) 2.0 (/ a (* b -3.0))))))

C

assert(x < y && y < z && z < t && t < a && a < b);
double code(double x, double y, double z, double t, double a, double b) {
	double t_1 = 2.0 * sqrt(x);
	double t_2 = z * (t * 0.3333333333333333);
	double tmp;
	if (((cos((y - ((z * t) / 3.0))) * t_1) - (a / (3.0 * b))) <= 5e+143) {
		tmp = fma(fma(cos(t_2), cos(y), (sin(y) * sin(t_2))), t_1, ((-0.3333333333333333 * a) / b));
	} else {
		tmp = fma((sqrt(x) * 1.0), 2.0, (a / (b * -3.0)));
	}
	return tmp;
}

Julia

x, y, z, t, a, b = sort([x, y, z, t, a, b])
function code(x, y, z, t, a, b)
	t_1 = Float64(2.0 * sqrt(x))
	t_2 = Float64(z * Float64(t * 0.3333333333333333))
	tmp = 0.0
	if (Float64(Float64(cos(Float64(y - Float64(Float64(z * t) / 3.0))) * t_1) - Float64(a / Float64(3.0 * b))) <= 5e+143)
		tmp = fma(fma(cos(t_2), cos(y), Float64(sin(y) * sin(t_2))), t_1, Float64(Float64(-0.3333333333333333 * a) / b));
	else
		tmp = fma(Float64(sqrt(x) * 1.0), 2.0, Float64(a / Float64(b * -3.0)));
	end
	return tmp
end

Wolfram

NOTE: x, y, z, t, a, and b should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_, a_, b_] := Block[{t$95$1 = N[(2.0 * N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(z * N[(t * 0.3333333333333333), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(N[Cos[N[(y - N[(N[(z * t), $MachinePrecision] / 3.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * t$95$1), $MachinePrecision] - N[(a / N[(3.0 * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 5e+143], N[(N[(N[Cos[t$95$2], $MachinePrecision] * N[Cos[y], $MachinePrecision] + N[(N[Sin[y], $MachinePrecision] * N[Sin[t$95$2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$1 + N[(N[(-0.3333333333333333 * a), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[x], $MachinePrecision] * 1.0), $MachinePrecision] * 2.0 + N[(a / N[(b * -3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]

Derivation

1. Split input into 2 regimes

2. if (-.f64 (*.f64 (*.f64 #s(literal 2 binary64) (sqrt.f64 x)) (cos.f64 (-.f64 y (/.f64 (*.f64 z t) #s(literal 3 binary64))))) (/.f64 a (*.f64 b #s(literal 3 binary64)))) < 5.00000000000000012e143

   1. Initial program 76.9%

      \[\left(2 \cdot \sqrt{x}\right) \cdot \cos \left(y - \frac{z \cdot t}{3}\right) - \frac{a}{b \cdot 3} \]
   2. Add Preprocessing
   3. Step-by-step derivation

      1. lift-cos.f64 N/A

         \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \color{blue}{\cos \left(y - \frac{z \cdot t}{3}\right)} - \frac{a}{b \cdot 3} \]

      2. lift--.f64 N/A

         \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \cos \color{blue}{\left(y - \frac{z \cdot t}{3}\right)} - \frac{a}{b \cdot 3} \]

      3. cos-diff N/A

         \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \color{blue}{\left(\cos y \cdot \cos \left(\frac{z \cdot t}{3}\right) + \sin y \cdot \sin \left(\frac{z \cdot t}{3}\right)\right)} - \frac{a}{b \cdot 3} \]

      4. *-commutative N/A

         \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \left(\color{blue}{\cos \left(\frac{z \cdot t}{3}\right) \cdot \cos y} + \sin y \cdot \sin \left(\frac{z \cdot t}{3}\right)\right) - \frac{a}{b \cdot 3} \]

      5. lower-fma.f64 N/A

         \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \color{blue}{\mathsf{fma}\left(\cos \left(\frac{z \cdot t}{3}\right), \cos y, \sin y \cdot \sin \left(\frac{z \cdot t}{3}\right)\right)} - \frac{a}{b \cdot 3} \]

      6. lower-cos.f64 N/A

         \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(\color{blue}{\cos \left(\frac{z \cdot t}{3}\right)}, \cos y, \sin y \cdot \sin \left(\frac{z \cdot t}{3}\right)\right) - \frac{a}{b \cdot 3} \]

      7. lift-/.f64 N/A

         \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(\cos \color{blue}{\left(\frac{z \cdot t}{3}\right)}, \cos y, \sin y \cdot \sin \left(\frac{z \cdot t}{3}\right)\right) - \frac{a}{b \cdot 3} \]

      8. lift-*.f64 N/A

         \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(\cos \left(\frac{\color{blue}{z \cdot t}}{3}\right), \cos y, \sin y \cdot \sin \left(\frac{z \cdot t}{3}\right)\right) - \frac{a}{b \cdot 3} \]

      9. associate-/l* N/A

         \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(\cos \color{blue}{\left(z \cdot \frac{t}{3}\right)}, \cos y, \sin y \cdot \sin \left(\frac{z \cdot t}{3}\right)\right) - \frac{a}{b \cdot 3} \]

      10. lower-*.f64 N/A

          \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(\cos \color{blue}{\left(z \cdot \frac{t}{3}\right)}, \cos y, \sin y \cdot \sin \left(\frac{z \cdot t}{3}\right)\right) - \frac{a}{b \cdot 3} \]

      11. div-inv N/A

          \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(\cos \left(z \cdot \color{blue}{\left(t \cdot \frac{1}{3}\right)}\right), \cos y, \sin y \cdot \sin \left(\frac{z \cdot t}{3}\right)\right) - \frac{a}{b \cdot 3} \]

      12. lower-*.f64 N/A

          \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(\cos \left(z \cdot \color{blue}{\left(t \cdot \frac{1}{3}\right)}\right), \cos y, \sin y \cdot \sin \left(\frac{z \cdot t}{3}\right)\right) - \frac{a}{b \cdot 3} \]

      13. metadata-eval N/A

          \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(\cos \left(z \cdot \left(t \cdot \color{blue}{\frac{1}{3}}\right)\right), \cos y, \sin y \cdot \sin \left(\frac{z \cdot t}{3}\right)\right) - \frac{a}{b \cdot 3} \]

      14. lower-cos.f64 N/A

          \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(\cos \left(z \cdot \left(t \cdot \frac{1}{3}\right)\right), \color{blue}{\cos y}, \sin y \cdot \sin \left(\frac{z \cdot t}{3}\right)\right) - \frac{a}{b \cdot 3} \]

      15. lower-*.f64 N/A

          \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(\cos \left(z \cdot \left(t \cdot \frac{1}{3}\right)\right), \cos y, \color{blue}{\sin y \cdot \sin \left(\frac{z \cdot t}{3}\right)}\right) - \frac{a}{b \cdot 3} \]

      16. lower-sin.f64 N/A

          \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(\cos \left(z \cdot \left(t \cdot \frac{1}{3}\right)\right), \cos y, \color{blue}{\sin y} \cdot \sin \left(\frac{z \cdot t}{3}\right)\right) - \frac{a}{b \cdot 3} \]

      17. lower-sin.f64 77.8

          \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(\cos \left(z \cdot \left(t \cdot 0.3333333333333333\right)\right), \cos y, \sin y \cdot \color{blue}{\sin \left(\frac{z \cdot t}{3}\right)}\right) - \frac{a}{b \cdot 3} \]

      18. lift-/.f64 N/A

          \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(\cos \left(z \cdot \left(t \cdot \frac{1}{3}\right)\right), \cos y, \sin y \cdot \sin \color{blue}{\left(\frac{z \cdot t}{3}\right)}\right) - \frac{a}{b \cdot 3} \]

      19. lift-*.f64 N/A

          \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(\cos \left(z \cdot \left(t \cdot \frac{1}{3}\right)\right), \cos y, \sin y \cdot \sin \left(\frac{\color{blue}{z \cdot t}}{3}\right)\right) - \frac{a}{b \cdot 3} \]

      20. associate-/l* N/A

          \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(\cos \left(z \cdot \left(t \cdot \frac{1}{3}\right)\right), \cos y, \sin y \cdot \sin \color{blue}{\left(z \cdot \frac{t}{3}\right)}\right) - \frac{a}{b \cdot 3} \]

      21. lower-*.f64 N/A

          \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(\cos \left(z \cdot \left(t \cdot \frac{1}{3}\right)\right), \cos y, \sin y \cdot \sin \color{blue}{\left(z \cdot \frac{t}{3}\right)}\right) - \frac{a}{b \cdot 3} \]

      22. div-inv N/A

          \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(\cos \left(z \cdot \left(t \cdot \frac{1}{3}\right)\right), \cos y, \sin y \cdot \sin \left(z \cdot \color{blue}{\left(t \cdot \frac{1}{3}\right)}\right)\right) - \frac{a}{b \cdot 3} \]

      23. lower-*.f64 N/A

          \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(\cos \left(z \cdot \left(t \cdot \frac{1}{3}\right)\right), \cos y, \sin y \cdot \sin \left(z \cdot \color{blue}{\left(t \cdot \frac{1}{3}\right)}\right)\right) - \frac{a}{b \cdot 3} \]

      24. metadata-eval 77.7

          \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(\cos \left(z \cdot \left(t \cdot 0.3333333333333333\right)\right), \cos y, \sin y \cdot \sin \left(z \cdot \left(t \cdot \color{blue}{0.3333333333333333}\right)\right)\right) - \frac{a}{b \cdot 3} \]

   4. Applied rewrites 77.7%

      \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \color{blue}{\mathsf{fma}\left(\cos \left(z \cdot \left(t \cdot 0.3333333333333333\right)\right), \cos y, \sin y \cdot \sin \left(z \cdot \left(t \cdot 0.3333333333333333\right)\right)\right)} - \frac{a}{b \cdot 3} \]

   5. Taylor expanded in z around 0

      \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(\color{blue}{1 + \frac{-1}{18} \cdot \left({t}^{2} \cdot {z}^{2}\right)}, \cos y, \sin y \cdot \sin \left(z \cdot \left(t \cdot \frac{1}{3}\right)\right)\right) - \frac{a}{b \cdot 3} \]
   6. Step-by-step derivation

      1. associate-*r* N/A

         \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(1 + \color{blue}{\left(\frac{-1}{18} \cdot {t}^{2}\right) \cdot {z}^{2}}, \cos y, \sin y \cdot \sin \left(z \cdot \left(t \cdot \frac{1}{3}\right)\right)\right) - \frac{a}{b \cdot 3} \]

      2. +-commutative N/A

         \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(\color{blue}{\left(\frac{-1}{18} \cdot {t}^{2}\right) \cdot {z}^{2} + 1}, \cos y, \sin y \cdot \sin \left(z \cdot \left(t \cdot \frac{1}{3}\right)\right)\right) - \frac{a}{b \cdot 3} \]

      3. lower-fma.f64 N/A

         \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(\color{blue}{\mathsf{fma}\left(\frac{-1}{18} \cdot {t}^{2}, {z}^{2}, 1\right)}, \cos y, \sin y \cdot \sin \left(z \cdot \left(t \cdot \frac{1}{3}\right)\right)\right) - \frac{a}{b \cdot 3} \]

      4. *-commutative N/A

         \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(\mathsf{fma}\left(\color{blue}{{t}^{2} \cdot \frac{-1}{18}}, {z}^{2}, 1\right), \cos y, \sin y \cdot \sin \left(z \cdot \left(t \cdot \frac{1}{3}\right)\right)\right) - \frac{a}{b \cdot 3} \]

      5. lower-*.f64 N/A

         \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(\mathsf{fma}\left(\color{blue}{{t}^{2} \cdot \frac{-1}{18}}, {z}^{2}, 1\right), \cos y, \sin y \cdot \sin \left(z \cdot \left(t \cdot \frac{1}{3}\right)\right)\right) - \frac{a}{b \cdot 3} \]

      6. unpow2 N/A

         \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(\mathsf{fma}\left(\color{blue}{\left(t \cdot t\right)} \cdot \frac{-1}{18}, {z}^{2}, 1\right), \cos y, \sin y \cdot \sin \left(z \cdot \left(t \cdot \frac{1}{3}\right)\right)\right) - \frac{a}{b \cdot 3} \]

      7. lower-*.f64 N/A

         \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(\mathsf{fma}\left(\color{blue}{\left(t \cdot t\right)} \cdot \frac{-1}{18}, {z}^{2}, 1\right), \cos y, \sin y \cdot \sin \left(z \cdot \left(t \cdot \frac{1}{3}\right)\right)\right) - \frac{a}{b \cdot 3} \]

      8. unpow2 N/A

         \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(\mathsf{fma}\left(\left(t \cdot t\right) \cdot \frac{-1}{18}, \color{blue}{z \cdot z}, 1\right), \cos y, \sin y \cdot \sin \left(z \cdot \left(t \cdot \frac{1}{3}\right)\right)\right) - \frac{a}{b \cdot 3} \]

      9. lower-*.f64 53.6

         \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(\mathsf{fma}\left(\left(t \cdot t\right) \cdot -0.05555555555555555, \color{blue}{z \cdot z}, 1\right), \cos y, \sin y \cdot \sin \left(z \cdot \left(t \cdot 0.3333333333333333\right)\right)\right) - \frac{a}{b \cdot 3} \]

   7. Applied rewrites 53.6%

      \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \mathsf{fma}\left(\color{blue}{\mathsf{fma}\left(\left(t \cdot t\right) \cdot -0.05555555555555555, z \cdot z, 1\right)}, \cos y, \sin y \cdot \sin \left(z \cdot \left(t \cdot 0.3333333333333333\right)\right)\right) - \frac{a}{b \cdot 3} \]

   8. Taylor expanded in x around 0

      \[\leadsto \color{blue}{2 \cdot \left(\sqrt{x} \cdot \left(\cos y \cdot \cos \left(\frac{1}{3} \cdot \left(t \cdot z\right)\right) + \sin y \cdot \sin \left(\frac{1}{3} \cdot \left(t \cdot z\right)\right)\right)\right) - \frac{1}{3} \cdot \frac{a}{b}} \]
   9. Step-by-step derivation

      1. cancel-sign-sub-inv N/A

         \[\leadsto \color{blue}{2 \cdot \left(\sqrt{x} \cdot \left(\cos y \cdot \cos \left(\frac{1}{3} \cdot \left(t \cdot z\right)\right) + \sin y \cdot \sin \left(\frac{1}{3} \cdot \left(t \cdot z\right)\right)\right)\right) + \left(\mathsf{neg}\left(\frac{1}{3}\right)\right) \cdot \frac{a}{b}} \]

      2. *-commutative N/A

         \[\leadsto \color{blue}{\left(\sqrt{x} \cdot \left(\cos y \cdot \cos \left(\frac{1}{3} \cdot \left(t \cdot z\right)\right) + \sin y \cdot \sin \left(\frac{1}{3} \cdot \left(t \cdot z\right)\right)\right)\right) \cdot 2} + \left(\mathsf{neg}\left(\frac{1}{3}\right)\right) \cdot \frac{a}{b} \]

      3. metadata-eval N/A

         \[\leadsto \left(\sqrt{x} \cdot \left(\cos y \cdot \cos \left(\frac{1}{3} \cdot \left(t \cdot z\right)\right) + \sin y \cdot \sin \left(\frac{1}{3} \cdot \left(t \cdot z\right)\right)\right)\right) \cdot 2 + \color{blue}{\frac{-1}{3}} \cdot \frac{a}{b} \]

      4. *-commutative N/A

         \[\leadsto \color{blue}{\left(\left(\cos y \cdot \cos \left(\frac{1}{3} \cdot \left(t \cdot z\right)\right) + \sin y \cdot \sin \left(\frac{1}{3} \cdot \left(t \cdot z\right)\right)\right) \cdot \sqrt{x}\right)} \cdot 2 + \frac{-1}{3} \cdot \frac{a}{b} \]

      5. associate-*l* N/A

         \[\leadsto \color{blue}{\left(\cos y \cdot \cos \left(\frac{1}{3} \cdot \left(t \cdot z\right)\right) + \sin y \cdot \sin \left(\frac{1}{3} \cdot \left(t \cdot z\right)\right)\right) \cdot \left(\sqrt{x} \cdot 2\right)} + \frac{-1}{3} \cdot \frac{a}{b} \]

      6. *-commutative N/A

         \[\leadsto \left(\cos y \cdot \cos \left(\frac{1}{3} \cdot \left(t \cdot z\right)\right) + \sin y \cdot \sin \left(\frac{1}{3} \cdot \left(t \cdot z\right)\right)\right) \cdot \color{blue}{\left(2 \cdot \sqrt{x}\right)} + \frac{-1}{3} \cdot \frac{a}{b} \]

      7. lower-fma.f64 N/A

         \[\leadsto \color{blue}{\mathsf{fma}\left(\cos y \cdot \cos \left(\frac{1}{3} \cdot \left(t \cdot z\right)\right) + \sin y \cdot \sin \left(\frac{1}{3} \cdot \left(t \cdot z\right)\right), 2 \cdot \sqrt{x}, \frac{-1}{3} \cdot \frac{a}{b}\right)} \]

   10. Applied rewrites 77.7%

       \[\leadsto \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(\cos \left(z \cdot \left(0.3333333333333333 \cdot t\right)\right), \cos y, \sin y \cdot \sin \left(z \cdot \left(0.3333333333333333 \cdot t\right)\right)\right), 2 \cdot \sqrt{x}, \frac{-0.3333333333333333 \cdot a}{b}\right)} \]

   if 5.00000000000000012e143 < (-.f64 (*.f64 (*.f64 #s(literal 2 binary64) (sqrt.f64 x)) (cos.f64 (-.f64 y (/.f64 (*.f64 z t) #s(literal 3 binary64))))) (/.f64 a (*.f64 b #s(literal 3 binary64))))

   1. Initial program 51.8%

      \[\left(2 \cdot \sqrt{x}\right) \cdot \cos \left(y - \frac{z \cdot t}{3}\right) - \frac{a}{b \cdot 3} \]
   2. Add Preprocessing

   3. Taylor expanded in z around 0

      \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \color{blue}{\cos y} - \frac{a}{b \cdot 3} \]
   4. Step-by-step derivation

      1. lower-cos.f64 77.3

         \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \color{blue}{\cos y} - \frac{a}{b \cdot 3} \]

   5. Applied rewrites 77.3%

      \[\leadsto \left(2 \cdot \sqrt{x}\right) \cdot \color{blue}{\cos y} - \frac{a}{b \cdot 3} \]
   6. Step-by-step derivation

      1. lift--.f64 N/A

         \[\leadsto \color{blue}{\left(2 \cdot \sqrt{x}\right) \cdot \cos y - \frac{a}{b \cdot 3}} \]

      2. sub-neg N/A

         \[\leadsto \color{blue}{\left(2 \cdot \sqrt{x}\right) \cdot \cos y + \left(\mathsf{neg}\left(\frac{a}{b \cdot 3}\right)\right)} \]

      3. lift-*.f64 N/A

         \[\leadsto \color{blue}{\left(2 \cdot \sqrt{x}\right) \cdot \cos y} + \left(\mathsf{neg}\left(\frac{a}{b \cdot 3}\right)\right) \]

      4. lift-*.f64 N/A

         \[\leadsto \color{blue}{\left(2 \cdot \sqrt{x}\right)} \cdot \cos y + \left(\mathsf{neg}\left(\frac{a}{b \cdot 3}\right)\right) \]

      5. associate-*l* N/A

         \[\leadsto \color{blue}{2 \cdot \left(\sqrt{x} \cdot \cos y\right)} + \left(\mathsf{neg}\left(\frac{a}{b \cdot 3}\right)\right) \]

      6. *-commutative N/A

         \[\leadsto \color{blue}{\left(\sqrt{x} \cdot \cos y\right) \cdot 2} + \left(\mathsf{neg}\left(\frac{a}{b \cdot 3}\right)\right) \]

      7. lower-fma.f64 N/A

         \[\leadsto \color{blue}{\mathsf{fma}\left(\sqrt{x} \cdot \cos y, 2, \mathsf{neg}\left(\frac{a}{b \cdot 3}\right)\right)} \]

      8. lower-*.f64 N/A

         \[\leadsto \mathsf{fma}\left(\color{blue}{\sqrt{x} \cdot \cos y}, 2, \mathsf{neg}\left(\frac{a}{b \cdot 3}\right)\right) \]

      9. lift-/.f64 N/A

         \[\leadsto \mathsf{fma}\left(\sqrt{x} \cdot \cos y, 2, \mathsf{neg}\left(\color{blue}{\frac{a}{b \cdot 3}}\right)\right) \]

      10. distribute-neg-frac2 N/A

          \[\leadsto \mathsf{fma}\left(\sqrt{x} \cdot \cos y, 2, \color{blue}{\frac{a}{\mathsf{neg}\left(b \cdot 3\right)}}\right) \]

      11. lower-/.f64 N/A

          \[\leadsto \mathsf{fma}\left(\sqrt{x} \cdot \cos y, 2, \color{blue}{\frac{a}{\mathsf{neg}\left(b \cdot 3\right)}}\right) \]

      12. lift-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(\sqrt{x} \cdot \cos y, 2, \frac{a}{\mathsf{neg}\left(\color{blue}{b \cdot 3}\right)}\right) \]

      13. distribute-rgt-neg-in N/A

          \[\leadsto \mathsf{fma}\left(\sqrt{x} \cdot \cos y, 2, \frac{a}{\color{blue}{b \cdot \left(\mathsf{neg}\left(3\right)\right)}}\right) \]

      14. lower-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(\sqrt{x} \cdot \cos y, 2, \frac{a}{\color{blue}{b \cdot \left(\mathsf{neg}\left(3\right)\right)}}\right) \]

      15. metadata-eval 77.3

          \[\leadsto \mathsf{fma}\left(\sqrt{x} \cdot \cos y, 2, \frac{a}{b \cdot \color{blue}{-3}}\right) \]

   7. Applied rewrites 77.3%

      \[\leadsto \color{blue}{\mathsf{fma}\left(\sqrt{x} \cdot \cos y, 2, \frac{a}{b \cdot -3}\right)} \]

   8. Taylor expanded in y around 0

      \[\leadsto \mathsf{fma}\left(\sqrt{x} \cdot 1, 2, \frac{a}{b \cdot -3}\right) \]
   9. Step-by-step derivation

   10. Applied rewrites 76.5%

       \[\leadsto \mathsf{fma}\left(\sqrt{x} \cdot 1, 2, \frac{a}{b \cdot -3}\right) \]
3. Recombined 2 regimes into one program.

4. Final simplification 77.4%

   \[\leadsto \begin{array}{l} \mathbf{if}\;\cos \left(y - \frac{z \cdot t}{3}\right) \cdot \left(2 \cdot \sqrt{x}\right) - \frac{a}{3 \cdot b} \leq 5 \cdot 10^{+143}:\\ \;\;\;\;\mathsf{fma}\left(\mathsf{fma}\left(\cos \left(z \cdot \left(t \cdot 0.3333333333333333\right)\right), \cos y, \sin y \cdot \sin \left(z \cdot \left(t \cdot 0.3333333333333333\right)\right)\right), 2 \cdot \sqrt{x}, \frac{-0.3333333333333333 \cdot a}{b}\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(\sqrt{x} \cdot 1, 2, \frac{a}{b \cdot -3}\right)\\ \end{array} \]
5. Add Preprocessing

Developer Target 1: 74.1% accurate, 0.8× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} t_1 := \frac{\frac{0.3333333333333333}{z}}{t}\\ t_2 := \frac{\frac{a}{3}}{b}\\ t_3 := 2 \cdot \sqrt{x}\\ \mathbf{if}\;z < -1.3793337487235141 \cdot 10^{+129}:\\ \;\;\;\;t\_3 \cdot \cos \left(\frac{1}{y} - t\_1\right) - t\_2\\ \mathbf{elif}\;z < 3.516290613555987 \cdot 10^{+106}:\\ \;\;\;\;\left(\sqrt{x} \cdot 2\right) \cdot \cos \left(y - \frac{t}{3} \cdot z\right) - t\_2\\ \mathbf{else}:\\ \;\;\;\;\cos \left(y - t\_1\right) \cdot t\_3 - \frac{\frac{a}{b}}{3}\\ \end{array} \end{array} \]

FPCore

(FPCore (x y z t a b)
 :precision binary64
 (let* ((t_1 (/ (/ 0.3333333333333333 z) t))
        (t_2 (/ (/ a 3.0) b))
        (t_3 (* 2.0 (sqrt x))))
   (if (< z -1.3793337487235141e+129)
     (- (* t_3 (cos (- (/ 1.0 y) t_1))) t_2)
     (if (< z 3.516290613555987e+106)
       (- (* (* (sqrt x) 2.0) (cos (- y (* (/ t 3.0) z)))) t_2)
       (- (* (cos (- y t_1)) t_3) (/ (/ a b) 3.0))))))

C

double code(double x, double y, double z, double t, double a, double b) {
	double t_1 = (0.3333333333333333 / z) / t;
	double t_2 = (a / 3.0) / b;
	double t_3 = 2.0 * sqrt(x);
	double tmp;
	if (z < -1.3793337487235141e+129) {
		tmp = (t_3 * cos(((1.0 / y) - t_1))) - t_2;
	} else if (z < 3.516290613555987e+106) {
		tmp = ((sqrt(x) * 2.0) * cos((y - ((t / 3.0) * z)))) - t_2;
	} else {
		tmp = (cos((y - t_1)) * t_3) - ((a / b) / 3.0);
	}
	return tmp;
}

Fortran

real(8) function code(x, y, z, t, a, b)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    real(8), intent (in) :: t
    real(8), intent (in) :: a
    real(8), intent (in) :: b
    real(8) :: t_1
    real(8) :: t_2
    real(8) :: t_3
    real(8) :: tmp
    t_1 = (0.3333333333333333d0 / z) / t
    t_2 = (a / 3.0d0) / b
    t_3 = 2.0d0 * sqrt(x)
    if (z < (-1.3793337487235141d+129)) then
        tmp = (t_3 * cos(((1.0d0 / y) - t_1))) - t_2
    else if (z < 3.516290613555987d+106) then
        tmp = ((sqrt(x) * 2.0d0) * cos((y - ((t / 3.0d0) * z)))) - t_2
    else
        tmp = (cos((y - t_1)) * t_3) - ((a / b) / 3.0d0)
    end if
    code = tmp
end function

Java

public static double code(double x, double y, double z, double t, double a, double b) {
	double t_1 = (0.3333333333333333 / z) / t;
	double t_2 = (a / 3.0) / b;
	double t_3 = 2.0 * Math.sqrt(x);
	double tmp;
	if (z < -1.3793337487235141e+129) {
		tmp = (t_3 * Math.cos(((1.0 / y) - t_1))) - t_2;
	} else if (z < 3.516290613555987e+106) {
		tmp = ((Math.sqrt(x) * 2.0) * Math.cos((y - ((t / 3.0) * z)))) - t_2;
	} else {
		tmp = (Math.cos((y - t_1)) * t_3) - ((a / b) / 3.0);
	}
	return tmp;
}

Python

def code(x, y, z, t, a, b):
	t_1 = (0.3333333333333333 / z) / t
	t_2 = (a / 3.0) / b
	t_3 = 2.0 * math.sqrt(x)
	tmp = 0
	if z < -1.3793337487235141e+129:
		tmp = (t_3 * math.cos(((1.0 / y) - t_1))) - t_2
	elif z < 3.516290613555987e+106:
		tmp = ((math.sqrt(x) * 2.0) * math.cos((y - ((t / 3.0) * z)))) - t_2
	else:
		tmp = (math.cos((y - t_1)) * t_3) - ((a / b) / 3.0)
	return tmp

Julia

function code(x, y, z, t, a, b)
	t_1 = Float64(Float64(0.3333333333333333 / z) / t)
	t_2 = Float64(Float64(a / 3.0) / b)
	t_3 = Float64(2.0 * sqrt(x))
	tmp = 0.0
	if (z < -1.3793337487235141e+129)
		tmp = Float64(Float64(t_3 * cos(Float64(Float64(1.0 / y) - t_1))) - t_2);
	elseif (z < 3.516290613555987e+106)
		tmp = Float64(Float64(Float64(sqrt(x) * 2.0) * cos(Float64(y - Float64(Float64(t / 3.0) * z)))) - t_2);
	else
		tmp = Float64(Float64(cos(Float64(y - t_1)) * t_3) - Float64(Float64(a / b) / 3.0));
	end
	return tmp
end

MATLAB

function tmp_2 = code(x, y, z, t, a, b)
	t_1 = (0.3333333333333333 / z) / t;
	t_2 = (a / 3.0) / b;
	t_3 = 2.0 * sqrt(x);
	tmp = 0.0;
	if (z < -1.3793337487235141e+129)
		tmp = (t_3 * cos(((1.0 / y) - t_1))) - t_2;
	elseif (z < 3.516290613555987e+106)
		tmp = ((sqrt(x) * 2.0) * cos((y - ((t / 3.0) * z)))) - t_2;
	else
		tmp = (cos((y - t_1)) * t_3) - ((a / b) / 3.0);
	end
	tmp_2 = tmp;
end

Wolfram

code[x_, y_, z_, t_, a_, b_] := Block[{t$95$1 = N[(N[(0.3333333333333333 / z), $MachinePrecision] / t), $MachinePrecision]}, Block[{t$95$2 = N[(N[(a / 3.0), $MachinePrecision] / b), $MachinePrecision]}, Block[{t$95$3 = N[(2.0 * N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, If[Less[z, -1.3793337487235141e+129], N[(N[(t$95$3 * N[Cos[N[(N[(1.0 / y), $MachinePrecision] - t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - t$95$2), $MachinePrecision], If[Less[z, 3.516290613555987e+106], N[(N[(N[(N[Sqrt[x], $MachinePrecision] * 2.0), $MachinePrecision] * N[Cos[N[(y - N[(N[(t / 3.0), $MachinePrecision] * z), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - t$95$2), $MachinePrecision], N[(N[(N[Cos[N[(y - t$95$1), $MachinePrecision]], $MachinePrecision] * t$95$3), $MachinePrecision] - N[(N[(a / b), $MachinePrecision] / 3.0), $MachinePrecision]), $MachinePrecision]]]]]]

Reproduce

herbie shell --seed 2024228 
(FPCore (x y z t a b)
  :name "Diagrams.Solve.Polynomial:cubForm  from diagrams-solve-0.1, K"
  :precision binary64

  :alt
  (! :herbie-platform default (if (< z -1379333748723514100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000) (- (* (* 2 (sqrt x)) (cos (- (/ 1 y) (/ (/ 3333333333333333/10000000000000000 z) t)))) (/ (/ a 3) b)) (if (< z 35162906135559870000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000) (- (* (* (sqrt x) 2) (cos (- y (* (/ t 3) z)))) (/ (/ a 3) b)) (- (* (cos (- y (/ (/ 3333333333333333/10000000000000000 z) t))) (* 2 (sqrt x))) (/ (/ a b) 3)))))

  (- (* (* 2.0 (sqrt x)) (cos (- y (/ (* z t) 3.0)))) (/ a (* b 3.0))))