Linear.V4:$cdot from linear-1.19.1.3, C

Percentage Accurate: 95.9% → 97.8%
Time: 12.4s
Alternatives: 16
Speedup: 0.5×

Specification

?
\[\begin{array}{l} \\ \left(\left(x \cdot y + z \cdot t\right) + a \cdot b\right) + c \cdot i \end{array} \]
(FPCore (x y z t a b c i)
 :precision binary64
 (+ (+ (+ (* x y) (* z t)) (* a b)) (* c i)))
double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	return (((x * y) + (z * t)) + (a * b)) + (c * i);
}

real(8) function code(x, y, z, t, a, b, c, i)
    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), intent (in) :: c
    real(8), intent (in) :: i
    code = (((x * y) + (z * t)) + (a * b)) + (c * i)
end function

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

def code(x, y, z, t, a, b, c, i):
	return (((x * y) + (z * t)) + (a * b)) + (c * i)

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

function tmp = code(x, y, z, t, a, b, c, i)
	tmp = (((x * y) + (z * t)) + (a * b)) + (c * i);
end

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

\begin{array}{l}

\\
\left(\left(x \cdot y + z \cdot t\right) + a \cdot b\right) + c \cdot i
\end{array}

Sampling outcomes in binary64 precision:

Local Percentage Accuracy vs ?

The average percentage accuracy by input value. Horizontal axis shows value of an input variable; the variable is choosen in the title. Vertical axis is accuracy; higher is better. Red represent the original program, while blue represents Herbie's suggestion. These can be toggled with buttons below the plot. The line is an average while dots represent individual samples.

Accuracy vs Speed?

Herbie found 16 alternatives:

AlternativeAccuracySpeedup
The accuracy (vertical axis) and speed (horizontal axis) of each alternatives. Up and to the right is better. The red square shows the initial program, and each blue circle shows an alternative.The line shows the best available speed-accuracy tradeoffs.

Initial Program: 95.9% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \left(\left(x \cdot y + z \cdot t\right) + a \cdot b\right) + c \cdot i \end{array} \]
(FPCore (x y z t a b c i)
 :precision binary64
 (+ (+ (+ (* x y) (* z t)) (* a b)) (* c i)))
double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	return (((x * y) + (z * t)) + (a * b)) + (c * i);
}

real(8) function code(x, y, z, t, a, b, c, i)
    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), intent (in) :: c
    real(8), intent (in) :: i
    code = (((x * y) + (z * t)) + (a * b)) + (c * i)
end function

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

def code(x, y, z, t, a, b, c, i):
	return (((x * y) + (z * t)) + (a * b)) + (c * i)

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

function tmp = code(x, y, z, t, a, b, c, i)
	tmp = (((x * y) + (z * t)) + (a * b)) + (c * i);
end

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

\begin{array}{l}

\\
\left(\left(x \cdot y + z \cdot t\right) + a \cdot b\right) + c \cdot i
\end{array}

Alternative 1: 97.8% accurate, 0.1× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\left(a \cdot b + \left(x \cdot y + z \cdot t\right)\right) + c \cdot i \leq \infty:\\ \;\;\;\;\mathsf{fma}\left(c, i, \left(x \cdot y + a \cdot b\right) + z \cdot t\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(i, c, z \cdot t\right)\\ \end{array} \end{array} \]
(FPCore (x y z t a b c i)
 :precision binary64
 (if (<= (+ (+ (* a b) (+ (* x y) (* z t))) (* c i)) INFINITY)
   (fma c i (+ (+ (* x y) (* a b)) (* z t)))
   (fma i c (* z t))))
double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	double tmp;
	if ((((a * b) + ((x * y) + (z * t))) + (c * i)) <= ((double) INFINITY)) {
		tmp = fma(c, i, (((x * y) + (a * b)) + (z * t)));
	} else {
		tmp = fma(i, c, (z * t));
	}
	return tmp;
}

function code(x, y, z, t, a, b, c, i)
	tmp = 0.0
	if (Float64(Float64(Float64(a * b) + Float64(Float64(x * y) + Float64(z * t))) + Float64(c * i)) <= Inf)
		tmp = fma(c, i, Float64(Float64(Float64(x * y) + Float64(a * b)) + Float64(z * t)));
	else
		tmp = fma(i, c, Float64(z * t));
	end
	return tmp
end

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

\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;\left(a \cdot b + \left(x \cdot y + z \cdot t\right)\right) + c \cdot i \leq \infty:\\
\;\;\;\;\mathsf{fma}\left(c, i, \left(x \cdot y + a \cdot b\right) + z \cdot t\right)\\

\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(i, c, z \cdot t\right)\\


\end{array}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 2: 98.0% accurate, 0.0× speedup?

\[\begin{array}{l} \\ \mathsf{fma}\left(c, i, \mathsf{fma}\left(a, b, \mathsf{fma}\left(x, y, z \cdot t\right)\right)\right) \end{array} \]
(FPCore (x y z t a b c i)
 :precision binary64
 (fma c i (fma a b (fma x y (* z t)))))
double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	return fma(c, i, fma(a, b, fma(x, y, (z * t))));
}

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

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

\begin{array}{l}

\\
\mathsf{fma}\left(c, i, \mathsf{fma}\left(a, b, \mathsf{fma}\left(x, y, z \cdot t\right)\right)\right)
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 3: 97.8% accurate, 0.1× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_1 := \left(a \cdot b + \left(x \cdot y + z \cdot t\right)\right) + c \cdot i\\ \mathbf{if}\;t_1 \leq \infty:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(i, c, z \cdot t\right)\\ \end{array} \end{array} \]
(FPCore (x y z t a b c i)
 :precision binary64
 (let* ((t_1 (+ (+ (* a b) (+ (* x y) (* z t))) (* c i))))
   (if (<= t_1 INFINITY) t_1 (fma i c (* z t)))))
double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	double t_1 = ((a * b) + ((x * y) + (z * t))) + (c * i);
	double tmp;
	if (t_1 <= ((double) INFINITY)) {
		tmp = t_1;
	} else {
		tmp = fma(i, c, (z * t));
	}
	return tmp;
}

function code(x, y, z, t, a, b, c, i)
	t_1 = Float64(Float64(Float64(a * b) + Float64(Float64(x * y) + Float64(z * t))) + Float64(c * i))
	tmp = 0.0
	if (t_1 <= Inf)
		tmp = t_1;
	else
		tmp = fma(i, c, Float64(z * t));
	end
	return tmp
end

code[x_, y_, z_, t_, a_, b_, c_, i_] := Block[{t$95$1 = N[(N[(N[(a * b), $MachinePrecision] + N[(N[(x * y), $MachinePrecision] + N[(z * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(c * i), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, Infinity], t$95$1, N[(i * c + N[(z * t), $MachinePrecision]), $MachinePrecision]]]

\begin{array}{l}

\\
\begin{array}{l}
t_1 := \left(a \cdot b + \left(x \cdot y + z \cdot t\right)\right) + c \cdot i\\
\mathbf{if}\;t_1 \leq \infty:\\
\;\;\;\;t_1\\

\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(i, c, z \cdot t\right)\\


\end{array}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 4: 43.7% accurate, 0.4× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;x \cdot y \leq -1.35 \cdot 10^{+63}:\\ \;\;\;\;x \cdot y\\ \mathbf{elif}\;x \cdot y \leq -6.4 \cdot 10^{+34}:\\ \;\;\;\;z \cdot t\\ \mathbf{elif}\;x \cdot y \leq -1.1 \cdot 10^{-23}:\\ \;\;\;\;c \cdot i\\ \mathbf{elif}\;x \cdot y \leq -1.06 \cdot 10^{-197}:\\ \;\;\;\;z \cdot t\\ \mathbf{elif}\;x \cdot y \leq 8.2 \cdot 10^{-229}:\\ \;\;\;\;a \cdot b\\ \mathbf{elif}\;x \cdot y \leq 6 \cdot 10^{-155}:\\ \;\;\;\;z \cdot t\\ \mathbf{elif}\;x \cdot y \leq 3.5 \cdot 10^{-57}:\\ \;\;\;\;c \cdot i\\ \mathbf{elif}\;x \cdot y \leq 1.22 \cdot 10^{+79}:\\ \;\;\;\;a \cdot b\\ \mathbf{else}:\\ \;\;\;\;x \cdot y\\ \end{array} \end{array} \]
(FPCore (x y z t a b c i)
 :precision binary64
 (if (<= (* x y) -1.35e+63)
   (* x y)
   (if (<= (* x y) -6.4e+34)
     (* z t)
     (if (<= (* x y) -1.1e-23)
       (* c i)
       (if (<= (* x y) -1.06e-197)
         (* z t)
         (if (<= (* x y) 8.2e-229)
           (* a b)
           (if (<= (* x y) 6e-155)
             (* z t)
             (if (<= (* x y) 3.5e-57)
               (* c i)
               (if (<= (* x y) 1.22e+79) (* a b) (* x y))))))))))
double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	double tmp;
	if ((x * y) <= -1.35e+63) {
		tmp = x * y;
	} else if ((x * y) <= -6.4e+34) {
		tmp = z * t;
	} else if ((x * y) <= -1.1e-23) {
		tmp = c * i;
	} else if ((x * y) <= -1.06e-197) {
		tmp = z * t;
	} else if ((x * y) <= 8.2e-229) {
		tmp = a * b;
	} else if ((x * y) <= 6e-155) {
		tmp = z * t;
	} else if ((x * y) <= 3.5e-57) {
		tmp = c * i;
	} else if ((x * y) <= 1.22e+79) {
		tmp = a * b;
	} else {
		tmp = x * y;
	}
	return tmp;
}

real(8) function code(x, y, z, t, a, b, c, i)
    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), intent (in) :: c
    real(8), intent (in) :: i
    real(8) :: tmp
    if ((x * y) <= (-1.35d+63)) then
        tmp = x * y
    else if ((x * y) <= (-6.4d+34)) then
        tmp = z * t
    else if ((x * y) <= (-1.1d-23)) then
        tmp = c * i
    else if ((x * y) <= (-1.06d-197)) then
        tmp = z * t
    else if ((x * y) <= 8.2d-229) then
        tmp = a * b
    else if ((x * y) <= 6d-155) then
        tmp = z * t
    else if ((x * y) <= 3.5d-57) then
        tmp = c * i
    else if ((x * y) <= 1.22d+79) then
        tmp = a * b
    else
        tmp = x * y
    end if
    code = tmp
end function

public static double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	double tmp;
	if ((x * y) <= -1.35e+63) {
		tmp = x * y;
	} else if ((x * y) <= -6.4e+34) {
		tmp = z * t;
	} else if ((x * y) <= -1.1e-23) {
		tmp = c * i;
	} else if ((x * y) <= -1.06e-197) {
		tmp = z * t;
	} else if ((x * y) <= 8.2e-229) {
		tmp = a * b;
	} else if ((x * y) <= 6e-155) {
		tmp = z * t;
	} else if ((x * y) <= 3.5e-57) {
		tmp = c * i;
	} else if ((x * y) <= 1.22e+79) {
		tmp = a * b;
	} else {
		tmp = x * y;
	}
	return tmp;
}

def code(x, y, z, t, a, b, c, i):
	tmp = 0
	if (x * y) <= -1.35e+63:
		tmp = x * y
	elif (x * y) <= -6.4e+34:
		tmp = z * t
	elif (x * y) <= -1.1e-23:
		tmp = c * i
	elif (x * y) <= -1.06e-197:
		tmp = z * t
	elif (x * y) <= 8.2e-229:
		tmp = a * b
	elif (x * y) <= 6e-155:
		tmp = z * t
	elif (x * y) <= 3.5e-57:
		tmp = c * i
	elif (x * y) <= 1.22e+79:
		tmp = a * b
	else:
		tmp = x * y
	return tmp

function code(x, y, z, t, a, b, c, i)
	tmp = 0.0
	if (Float64(x * y) <= -1.35e+63)
		tmp = Float64(x * y);
	elseif (Float64(x * y) <= -6.4e+34)
		tmp = Float64(z * t);
	elseif (Float64(x * y) <= -1.1e-23)
		tmp = Float64(c * i);
	elseif (Float64(x * y) <= -1.06e-197)
		tmp = Float64(z * t);
	elseif (Float64(x * y) <= 8.2e-229)
		tmp = Float64(a * b);
	elseif (Float64(x * y) <= 6e-155)
		tmp = Float64(z * t);
	elseif (Float64(x * y) <= 3.5e-57)
		tmp = Float64(c * i);
	elseif (Float64(x * y) <= 1.22e+79)
		tmp = Float64(a * b);
	else
		tmp = Float64(x * y);
	end
	return tmp
end

function tmp_2 = code(x, y, z, t, a, b, c, i)
	tmp = 0.0;
	if ((x * y) <= -1.35e+63)
		tmp = x * y;
	elseif ((x * y) <= -6.4e+34)
		tmp = z * t;
	elseif ((x * y) <= -1.1e-23)
		tmp = c * i;
	elseif ((x * y) <= -1.06e-197)
		tmp = z * t;
	elseif ((x * y) <= 8.2e-229)
		tmp = a * b;
	elseif ((x * y) <= 6e-155)
		tmp = z * t;
	elseif ((x * y) <= 3.5e-57)
		tmp = c * i;
	elseif ((x * y) <= 1.22e+79)
		tmp = a * b;
	else
		tmp = x * y;
	end
	tmp_2 = tmp;
end

code[x_, y_, z_, t_, a_, b_, c_, i_] := If[LessEqual[N[(x * y), $MachinePrecision], -1.35e+63], N[(x * y), $MachinePrecision], If[LessEqual[N[(x * y), $MachinePrecision], -6.4e+34], N[(z * t), $MachinePrecision], If[LessEqual[N[(x * y), $MachinePrecision], -1.1e-23], N[(c * i), $MachinePrecision], If[LessEqual[N[(x * y), $MachinePrecision], -1.06e-197], N[(z * t), $MachinePrecision], If[LessEqual[N[(x * y), $MachinePrecision], 8.2e-229], N[(a * b), $MachinePrecision], If[LessEqual[N[(x * y), $MachinePrecision], 6e-155], N[(z * t), $MachinePrecision], If[LessEqual[N[(x * y), $MachinePrecision], 3.5e-57], N[(c * i), $MachinePrecision], If[LessEqual[N[(x * y), $MachinePrecision], 1.22e+79], N[(a * b), $MachinePrecision], N[(x * y), $MachinePrecision]]]]]]]]]

\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;x \cdot y \leq -1.35 \cdot 10^{+63}:\\
\;\;\;\;x \cdot y\\

\mathbf{elif}\;x \cdot y \leq -6.4 \cdot 10^{+34}:\\
\;\;\;\;z \cdot t\\

\mathbf{elif}\;x \cdot y \leq -1.1 \cdot 10^{-23}:\\
\;\;\;\;c \cdot i\\

\mathbf{elif}\;x \cdot y \leq -1.06 \cdot 10^{-197}:\\
\;\;\;\;z \cdot t\\

\mathbf{elif}\;x \cdot y \leq 8.2 \cdot 10^{-229}:\\
\;\;\;\;a \cdot b\\

\mathbf{elif}\;x \cdot y \leq 6 \cdot 10^{-155}:\\
\;\;\;\;z \cdot t\\

\mathbf{elif}\;x \cdot y \leq 3.5 \cdot 10^{-57}:\\
\;\;\;\;c \cdot i\\

\mathbf{elif}\;x \cdot y \leq 1.22 \cdot 10^{+79}:\\
\;\;\;\;a \cdot b\\

\mathbf{else}:\\
\;\;\;\;x \cdot y\\


\end{array}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 5: 59.4% accurate, 0.5× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_1 := a \cdot b + c \cdot i\\ \mathbf{if}\;x \cdot y \leq -3.7 \cdot 10^{+215}:\\ \;\;\;\;x \cdot y\\ \mathbf{elif}\;x \cdot y \leq -4.4 \cdot 10^{+122}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;x \cdot y \leq -6.2 \cdot 10^{+56}:\\ \;\;\;\;x \cdot y\\ \mathbf{elif}\;x \cdot y \leq -2.5 \cdot 10^{-70}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;x \cdot y \leq -1.22 \cdot 10^{-175}:\\ \;\;\;\;z \cdot t\\ \mathbf{elif}\;x \cdot y \leq 9.4 \cdot 10^{+263}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;x \cdot y\\ \end{array} \end{array} \]
(FPCore (x y z t a b c i)
 :precision binary64
 (let* ((t_1 (+ (* a b) (* c i))))
   (if (<= (* x y) -3.7e+215)
     (* x y)
     (if (<= (* x y) -4.4e+122)
       t_1
       (if (<= (* x y) -6.2e+56)
         (* x y)
         (if (<= (* x y) -2.5e-70)
           t_1
           (if (<= (* x y) -1.22e-175)
             (* z t)
             (if (<= (* x y) 9.4e+263) t_1 (* x y)))))))))
double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	double t_1 = (a * b) + (c * i);
	double tmp;
	if ((x * y) <= -3.7e+215) {
		tmp = x * y;
	} else if ((x * y) <= -4.4e+122) {
		tmp = t_1;
	} else if ((x * y) <= -6.2e+56) {
		tmp = x * y;
	} else if ((x * y) <= -2.5e-70) {
		tmp = t_1;
	} else if ((x * y) <= -1.22e-175) {
		tmp = z * t;
	} else if ((x * y) <= 9.4e+263) {
		tmp = t_1;
	} else {
		tmp = x * y;
	}
	return tmp;
}

real(8) function code(x, y, z, t, a, b, c, i)
    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), intent (in) :: c
    real(8), intent (in) :: i
    real(8) :: t_1
    real(8) :: tmp
    t_1 = (a * b) + (c * i)
    if ((x * y) <= (-3.7d+215)) then
        tmp = x * y
    else if ((x * y) <= (-4.4d+122)) then
        tmp = t_1
    else if ((x * y) <= (-6.2d+56)) then
        tmp = x * y
    else if ((x * y) <= (-2.5d-70)) then
        tmp = t_1
    else if ((x * y) <= (-1.22d-175)) then
        tmp = z * t
    else if ((x * y) <= 9.4d+263) then
        tmp = t_1
    else
        tmp = x * y
    end if
    code = tmp
end function

public static double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	double t_1 = (a * b) + (c * i);
	double tmp;
	if ((x * y) <= -3.7e+215) {
		tmp = x * y;
	} else if ((x * y) <= -4.4e+122) {
		tmp = t_1;
	} else if ((x * y) <= -6.2e+56) {
		tmp = x * y;
	} else if ((x * y) <= -2.5e-70) {
		tmp = t_1;
	} else if ((x * y) <= -1.22e-175) {
		tmp = z * t;
	} else if ((x * y) <= 9.4e+263) {
		tmp = t_1;
	} else {
		tmp = x * y;
	}
	return tmp;
}

def code(x, y, z, t, a, b, c, i):
	t_1 = (a * b) + (c * i)
	tmp = 0
	if (x * y) <= -3.7e+215:
		tmp = x * y
	elif (x * y) <= -4.4e+122:
		tmp = t_1
	elif (x * y) <= -6.2e+56:
		tmp = x * y
	elif (x * y) <= -2.5e-70:
		tmp = t_1
	elif (x * y) <= -1.22e-175:
		tmp = z * t
	elif (x * y) <= 9.4e+263:
		tmp = t_1
	else:
		tmp = x * y
	return tmp

function code(x, y, z, t, a, b, c, i)
	t_1 = Float64(Float64(a * b) + Float64(c * i))
	tmp = 0.0
	if (Float64(x * y) <= -3.7e+215)
		tmp = Float64(x * y);
	elseif (Float64(x * y) <= -4.4e+122)
		tmp = t_1;
	elseif (Float64(x * y) <= -6.2e+56)
		tmp = Float64(x * y);
	elseif (Float64(x * y) <= -2.5e-70)
		tmp = t_1;
	elseif (Float64(x * y) <= -1.22e-175)
		tmp = Float64(z * t);
	elseif (Float64(x * y) <= 9.4e+263)
		tmp = t_1;
	else
		tmp = Float64(x * y);
	end
	return tmp
end

function tmp_2 = code(x, y, z, t, a, b, c, i)
	t_1 = (a * b) + (c * i);
	tmp = 0.0;
	if ((x * y) <= -3.7e+215)
		tmp = x * y;
	elseif ((x * y) <= -4.4e+122)
		tmp = t_1;
	elseif ((x * y) <= -6.2e+56)
		tmp = x * y;
	elseif ((x * y) <= -2.5e-70)
		tmp = t_1;
	elseif ((x * y) <= -1.22e-175)
		tmp = z * t;
	elseif ((x * y) <= 9.4e+263)
		tmp = t_1;
	else
		tmp = x * y;
	end
	tmp_2 = tmp;
end

code[x_, y_, z_, t_, a_, b_, c_, i_] := Block[{t$95$1 = N[(N[(a * b), $MachinePrecision] + N[(c * i), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(x * y), $MachinePrecision], -3.7e+215], N[(x * y), $MachinePrecision], If[LessEqual[N[(x * y), $MachinePrecision], -4.4e+122], t$95$1, If[LessEqual[N[(x * y), $MachinePrecision], -6.2e+56], N[(x * y), $MachinePrecision], If[LessEqual[N[(x * y), $MachinePrecision], -2.5e-70], t$95$1, If[LessEqual[N[(x * y), $MachinePrecision], -1.22e-175], N[(z * t), $MachinePrecision], If[LessEqual[N[(x * y), $MachinePrecision], 9.4e+263], t$95$1, N[(x * y), $MachinePrecision]]]]]]]]

\begin{array}{l}

\\
\begin{array}{l}
t_1 := a \cdot b + c \cdot i\\
\mathbf{if}\;x \cdot y \leq -3.7 \cdot 10^{+215}:\\
\;\;\;\;x \cdot y\\

\mathbf{elif}\;x \cdot y \leq -4.4 \cdot 10^{+122}:\\
\;\;\;\;t_1\\

\mathbf{elif}\;x \cdot y \leq -6.2 \cdot 10^{+56}:\\
\;\;\;\;x \cdot y\\

\mathbf{elif}\;x \cdot y \leq -2.5 \cdot 10^{-70}:\\
\;\;\;\;t_1\\

\mathbf{elif}\;x \cdot y \leq -1.22 \cdot 10^{-175}:\\
\;\;\;\;z \cdot t\\

\mathbf{elif}\;x \cdot y \leq 9.4 \cdot 10^{+263}:\\
\;\;\;\;t_1\\

\mathbf{else}:\\
\;\;\;\;x \cdot y\\


\end{array}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 6: 97.3% accurate, 0.5× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_1 := \left(a \cdot b + \left(x \cdot y + z \cdot t\right)\right) + c \cdot i\\ \mathbf{if}\;t_1 \leq \infty:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;c \cdot i + z \cdot t\\ \end{array} \end{array} \]
(FPCore (x y z t a b c i)
 :precision binary64
 (let* ((t_1 (+ (+ (* a b) (+ (* x y) (* z t))) (* c i))))
   (if (<= t_1 INFINITY) t_1 (+ (* c i) (* z t)))))
double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	double t_1 = ((a * b) + ((x * y) + (z * t))) + (c * i);
	double tmp;
	if (t_1 <= ((double) INFINITY)) {
		tmp = t_1;
	} else {
		tmp = (c * i) + (z * t);
	}
	return tmp;
}

public static double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	double t_1 = ((a * b) + ((x * y) + (z * t))) + (c * i);
	double tmp;
	if (t_1 <= Double.POSITIVE_INFINITY) {
		tmp = t_1;
	} else {
		tmp = (c * i) + (z * t);
	}
	return tmp;
}

def code(x, y, z, t, a, b, c, i):
	t_1 = ((a * b) + ((x * y) + (z * t))) + (c * i)
	tmp = 0
	if t_1 <= math.inf:
		tmp = t_1
	else:
		tmp = (c * i) + (z * t)
	return tmp

function code(x, y, z, t, a, b, c, i)
	t_1 = Float64(Float64(Float64(a * b) + Float64(Float64(x * y) + Float64(z * t))) + Float64(c * i))
	tmp = 0.0
	if (t_1 <= Inf)
		tmp = t_1;
	else
		tmp = Float64(Float64(c * i) + Float64(z * t));
	end
	return tmp
end

function tmp_2 = code(x, y, z, t, a, b, c, i)
	t_1 = ((a * b) + ((x * y) + (z * t))) + (c * i);
	tmp = 0.0;
	if (t_1 <= Inf)
		tmp = t_1;
	else
		tmp = (c * i) + (z * t);
	end
	tmp_2 = tmp;
end

code[x_, y_, z_, t_, a_, b_, c_, i_] := Block[{t$95$1 = N[(N[(N[(a * b), $MachinePrecision] + N[(N[(x * y), $MachinePrecision] + N[(z * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(c * i), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, Infinity], t$95$1, N[(N[(c * i), $MachinePrecision] + N[(z * t), $MachinePrecision]), $MachinePrecision]]]

\begin{array}{l}

\\
\begin{array}{l}
t_1 := \left(a \cdot b + \left(x \cdot y + z \cdot t\right)\right) + c \cdot i\\
\mathbf{if}\;t_1 \leq \infty:\\
\;\;\;\;t_1\\

\mathbf{else}:\\
\;\;\;\;c \cdot i + z \cdot t\\


\end{array}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 7: 61.4% accurate, 0.6× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_1 := a \cdot b + c \cdot i\\ \mathbf{if}\;x \cdot y \leq -7.2 \cdot 10^{+31}:\\ \;\;\;\;x \cdot y + a \cdot b\\ \mathbf{elif}\;x \cdot y \leq -2.7 \cdot 10^{-70}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;x \cdot y \leq -4.2 \cdot 10^{-176}:\\ \;\;\;\;z \cdot t\\ \mathbf{elif}\;x \cdot y \leq 2.3 \cdot 10^{+264}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;x \cdot y\\ \end{array} \end{array} \]
(FPCore (x y z t a b c i)
 :precision binary64
 (let* ((t_1 (+ (* a b) (* c i))))
   (if (<= (* x y) -7.2e+31)
     (+ (* x y) (* a b))
     (if (<= (* x y) -2.7e-70)
       t_1
       (if (<= (* x y) -4.2e-176)
         (* z t)
         (if (<= (* x y) 2.3e+264) t_1 (* x y)))))))
double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	double t_1 = (a * b) + (c * i);
	double tmp;
	if ((x * y) <= -7.2e+31) {
		tmp = (x * y) + (a * b);
	} else if ((x * y) <= -2.7e-70) {
		tmp = t_1;
	} else if ((x * y) <= -4.2e-176) {
		tmp = z * t;
	} else if ((x * y) <= 2.3e+264) {
		tmp = t_1;
	} else {
		tmp = x * y;
	}
	return tmp;
}

real(8) function code(x, y, z, t, a, b, c, i)
    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), intent (in) :: c
    real(8), intent (in) :: i
    real(8) :: t_1
    real(8) :: tmp
    t_1 = (a * b) + (c * i)
    if ((x * y) <= (-7.2d+31)) then
        tmp = (x * y) + (a * b)
    else if ((x * y) <= (-2.7d-70)) then
        tmp = t_1
    else if ((x * y) <= (-4.2d-176)) then
        tmp = z * t
    else if ((x * y) <= 2.3d+264) then
        tmp = t_1
    else
        tmp = x * y
    end if
    code = tmp
end function

public static double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	double t_1 = (a * b) + (c * i);
	double tmp;
	if ((x * y) <= -7.2e+31) {
		tmp = (x * y) + (a * b);
	} else if ((x * y) <= -2.7e-70) {
		tmp = t_1;
	} else if ((x * y) <= -4.2e-176) {
		tmp = z * t;
	} else if ((x * y) <= 2.3e+264) {
		tmp = t_1;
	} else {
		tmp = x * y;
	}
	return tmp;
}

def code(x, y, z, t, a, b, c, i):
	t_1 = (a * b) + (c * i)
	tmp = 0
	if (x * y) <= -7.2e+31:
		tmp = (x * y) + (a * b)
	elif (x * y) <= -2.7e-70:
		tmp = t_1
	elif (x * y) <= -4.2e-176:
		tmp = z * t
	elif (x * y) <= 2.3e+264:
		tmp = t_1
	else:
		tmp = x * y
	return tmp

function code(x, y, z, t, a, b, c, i)
	t_1 = Float64(Float64(a * b) + Float64(c * i))
	tmp = 0.0
	if (Float64(x * y) <= -7.2e+31)
		tmp = Float64(Float64(x * y) + Float64(a * b));
	elseif (Float64(x * y) <= -2.7e-70)
		tmp = t_1;
	elseif (Float64(x * y) <= -4.2e-176)
		tmp = Float64(z * t);
	elseif (Float64(x * y) <= 2.3e+264)
		tmp = t_1;
	else
		tmp = Float64(x * y);
	end
	return tmp
end

function tmp_2 = code(x, y, z, t, a, b, c, i)
	t_1 = (a * b) + (c * i);
	tmp = 0.0;
	if ((x * y) <= -7.2e+31)
		tmp = (x * y) + (a * b);
	elseif ((x * y) <= -2.7e-70)
		tmp = t_1;
	elseif ((x * y) <= -4.2e-176)
		tmp = z * t;
	elseif ((x * y) <= 2.3e+264)
		tmp = t_1;
	else
		tmp = x * y;
	end
	tmp_2 = tmp;
end

code[x_, y_, z_, t_, a_, b_, c_, i_] := Block[{t$95$1 = N[(N[(a * b), $MachinePrecision] + N[(c * i), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(x * y), $MachinePrecision], -7.2e+31], N[(N[(x * y), $MachinePrecision] + N[(a * b), $MachinePrecision]), $MachinePrecision], If[LessEqual[N[(x * y), $MachinePrecision], -2.7e-70], t$95$1, If[LessEqual[N[(x * y), $MachinePrecision], -4.2e-176], N[(z * t), $MachinePrecision], If[LessEqual[N[(x * y), $MachinePrecision], 2.3e+264], t$95$1, N[(x * y), $MachinePrecision]]]]]]

\begin{array}{l}

\\
\begin{array}{l}
t_1 := a \cdot b + c \cdot i\\
\mathbf{if}\;x \cdot y \leq -7.2 \cdot 10^{+31}:\\
\;\;\;\;x \cdot y + a \cdot b\\

\mathbf{elif}\;x \cdot y \leq -2.7 \cdot 10^{-70}:\\
\;\;\;\;t_1\\

\mathbf{elif}\;x \cdot y \leq -4.2 \cdot 10^{-176}:\\
\;\;\;\;z \cdot t\\

\mathbf{elif}\;x \cdot y \leq 2.3 \cdot 10^{+264}:\\
\;\;\;\;t_1\\

\mathbf{else}:\\
\;\;\;\;x \cdot y\\


\end{array}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 8: 60.3% accurate, 0.8× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;z \leq -1.8 \cdot 10^{+152} \lor \neg \left(z \leq -2.6 \cdot 10^{+123} \lor \neg \left(z \leq -1.65 \cdot 10^{+91}\right) \land \left(z \leq -7.2 \cdot 10^{+14} \lor \neg \left(z \leq -5.7 \cdot 10^{-42}\right) \land z \leq 4.2 \cdot 10^{-17}\right)\right):\\ \;\;\;\;c \cdot i + z \cdot t\\ \mathbf{else}:\\ \;\;\;\;x \cdot y + a \cdot b\\ \end{array} \end{array} \]
(FPCore (x y z t a b c i)
 :precision binary64
 (if (or (<= z -1.8e+152)
         (not
          (or (<= z -2.6e+123)
              (and (not (<= z -1.65e+91))
                   (or (<= z -7.2e+14)
                       (and (not (<= z -5.7e-42)) (<= z 4.2e-17)))))))
   (+ (* c i) (* z t))
   (+ (* x y) (* a b))))
double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	double tmp;
	if ((z <= -1.8e+152) || !((z <= -2.6e+123) || (!(z <= -1.65e+91) && ((z <= -7.2e+14) || (!(z <= -5.7e-42) && (z <= 4.2e-17)))))) {
		tmp = (c * i) + (z * t);
	} else {
		tmp = (x * y) + (a * b);
	}
	return tmp;
}

real(8) function code(x, y, z, t, a, b, c, i)
    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), intent (in) :: c
    real(8), intent (in) :: i
    real(8) :: tmp
    if ((z <= (-1.8d+152)) .or. (.not. (z <= (-2.6d+123)) .or. (.not. (z <= (-1.65d+91))) .and. (z <= (-7.2d+14)) .or. (.not. (z <= (-5.7d-42))) .and. (z <= 4.2d-17))) then
        tmp = (c * i) + (z * t)
    else
        tmp = (x * y) + (a * b)
    end if
    code = tmp
end function

public static double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	double tmp;
	if ((z <= -1.8e+152) || !((z <= -2.6e+123) || (!(z <= -1.65e+91) && ((z <= -7.2e+14) || (!(z <= -5.7e-42) && (z <= 4.2e-17)))))) {
		tmp = (c * i) + (z * t);
	} else {
		tmp = (x * y) + (a * b);
	}
	return tmp;
}

def code(x, y, z, t, a, b, c, i):
	tmp = 0
	if (z <= -1.8e+152) or not ((z <= -2.6e+123) or (not (z <= -1.65e+91) and ((z <= -7.2e+14) or (not (z <= -5.7e-42) and (z <= 4.2e-17))))):
		tmp = (c * i) + (z * t)
	else:
		tmp = (x * y) + (a * b)
	return tmp

function code(x, y, z, t, a, b, c, i)
	tmp = 0.0
	if ((z <= -1.8e+152) || !((z <= -2.6e+123) || (!(z <= -1.65e+91) && ((z <= -7.2e+14) || (!(z <= -5.7e-42) && (z <= 4.2e-17))))))
		tmp = Float64(Float64(c * i) + Float64(z * t));
	else
		tmp = Float64(Float64(x * y) + Float64(a * b));
	end
	return tmp
end

function tmp_2 = code(x, y, z, t, a, b, c, i)
	tmp = 0.0;
	if ((z <= -1.8e+152) || ~(((z <= -2.6e+123) || (~((z <= -1.65e+91)) && ((z <= -7.2e+14) || (~((z <= -5.7e-42)) && (z <= 4.2e-17)))))))
		tmp = (c * i) + (z * t);
	else
		tmp = (x * y) + (a * b);
	end
	tmp_2 = tmp;
end

code[x_, y_, z_, t_, a_, b_, c_, i_] := If[Or[LessEqual[z, -1.8e+152], N[Not[Or[LessEqual[z, -2.6e+123], And[N[Not[LessEqual[z, -1.65e+91]], $MachinePrecision], Or[LessEqual[z, -7.2e+14], And[N[Not[LessEqual[z, -5.7e-42]], $MachinePrecision], LessEqual[z, 4.2e-17]]]]]], $MachinePrecision]], N[(N[(c * i), $MachinePrecision] + N[(z * t), $MachinePrecision]), $MachinePrecision], N[(N[(x * y), $MachinePrecision] + N[(a * b), $MachinePrecision]), $MachinePrecision]]

\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;z \leq -1.8 \cdot 10^{+152} \lor \neg \left(z \leq -2.6 \cdot 10^{+123} \lor \neg \left(z \leq -1.65 \cdot 10^{+91}\right) \land \left(z \leq -7.2 \cdot 10^{+14} \lor \neg \left(z \leq -5.7 \cdot 10^{-42}\right) \land z \leq 4.2 \cdot 10^{-17}\right)\right):\\
\;\;\;\;c \cdot i + z \cdot t\\

\mathbf{else}:\\
\;\;\;\;x \cdot y + a \cdot b\\


\end{array}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 9: 87.8% accurate, 0.8× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;x \cdot y \leq -4.4 \cdot 10^{-8} \lor \neg \left(x \cdot y \leq 2.2 \cdot 10^{+75}\right):\\ \;\;\;\;c \cdot i + \left(x \cdot y + a \cdot b\right)\\ \mathbf{else}:\\ \;\;\;\;c \cdot i + \left(a \cdot b + z \cdot t\right)\\ \end{array} \end{array} \]
(FPCore (x y z t a b c i)
 :precision binary64
 (if (or (<= (* x y) -4.4e-8) (not (<= (* x y) 2.2e+75)))
   (+ (* c i) (+ (* x y) (* a b)))
   (+ (* c i) (+ (* a b) (* z t)))))
double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	double tmp;
	if (((x * y) <= -4.4e-8) || !((x * y) <= 2.2e+75)) {
		tmp = (c * i) + ((x * y) + (a * b));
	} else {
		tmp = (c * i) + ((a * b) + (z * t));
	}
	return tmp;
}

real(8) function code(x, y, z, t, a, b, c, i)
    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), intent (in) :: c
    real(8), intent (in) :: i
    real(8) :: tmp
    if (((x * y) <= (-4.4d-8)) .or. (.not. ((x * y) <= 2.2d+75))) then
        tmp = (c * i) + ((x * y) + (a * b))
    else
        tmp = (c * i) + ((a * b) + (z * t))
    end if
    code = tmp
end function

public static double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	double tmp;
	if (((x * y) <= -4.4e-8) || !((x * y) <= 2.2e+75)) {
		tmp = (c * i) + ((x * y) + (a * b));
	} else {
		tmp = (c * i) + ((a * b) + (z * t));
	}
	return tmp;
}

def code(x, y, z, t, a, b, c, i):
	tmp = 0
	if ((x * y) <= -4.4e-8) or not ((x * y) <= 2.2e+75):
		tmp = (c * i) + ((x * y) + (a * b))
	else:
		tmp = (c * i) + ((a * b) + (z * t))
	return tmp

function code(x, y, z, t, a, b, c, i)
	tmp = 0.0
	if ((Float64(x * y) <= -4.4e-8) || !(Float64(x * y) <= 2.2e+75))
		tmp = Float64(Float64(c * i) + Float64(Float64(x * y) + Float64(a * b)));
	else
		tmp = Float64(Float64(c * i) + Float64(Float64(a * b) + Float64(z * t)));
	end
	return tmp
end

function tmp_2 = code(x, y, z, t, a, b, c, i)
	tmp = 0.0;
	if (((x * y) <= -4.4e-8) || ~(((x * y) <= 2.2e+75)))
		tmp = (c * i) + ((x * y) + (a * b));
	else
		tmp = (c * i) + ((a * b) + (z * t));
	end
	tmp_2 = tmp;
end

code[x_, y_, z_, t_, a_, b_, c_, i_] := If[Or[LessEqual[N[(x * y), $MachinePrecision], -4.4e-8], N[Not[LessEqual[N[(x * y), $MachinePrecision], 2.2e+75]], $MachinePrecision]], N[(N[(c * i), $MachinePrecision] + N[(N[(x * y), $MachinePrecision] + N[(a * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(c * i), $MachinePrecision] + N[(N[(a * b), $MachinePrecision] + N[(z * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]

\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;x \cdot y \leq -4.4 \cdot 10^{-8} \lor \neg \left(x \cdot y \leq 2.2 \cdot 10^{+75}\right):\\
\;\;\;\;c \cdot i + \left(x \cdot y + a \cdot b\right)\\

\mathbf{else}:\\
\;\;\;\;c \cdot i + \left(a \cdot b + z \cdot t\right)\\


\end{array}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 10: 84.2% accurate, 0.8× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;x \cdot y \leq -8.5 \cdot 10^{+69}:\\ \;\;\;\;x \cdot y + a \cdot b\\ \mathbf{elif}\;x \cdot y \leq 5.4 \cdot 10^{+224}:\\ \;\;\;\;c \cdot i + \left(a \cdot b + z \cdot t\right)\\ \mathbf{else}:\\ \;\;\;\;x \cdot y + c \cdot i\\ \end{array} \end{array} \]
(FPCore (x y z t a b c i)
 :precision binary64
 (if (<= (* x y) -8.5e+69)
   (+ (* x y) (* a b))
   (if (<= (* x y) 5.4e+224)
     (+ (* c i) (+ (* a b) (* z t)))
     (+ (* x y) (* c i)))))
double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	double tmp;
	if ((x * y) <= -8.5e+69) {
		tmp = (x * y) + (a * b);
	} else if ((x * y) <= 5.4e+224) {
		tmp = (c * i) + ((a * b) + (z * t));
	} else {
		tmp = (x * y) + (c * i);
	}
	return tmp;
}

real(8) function code(x, y, z, t, a, b, c, i)
    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), intent (in) :: c
    real(8), intent (in) :: i
    real(8) :: tmp
    if ((x * y) <= (-8.5d+69)) then
        tmp = (x * y) + (a * b)
    else if ((x * y) <= 5.4d+224) then
        tmp = (c * i) + ((a * b) + (z * t))
    else
        tmp = (x * y) + (c * i)
    end if
    code = tmp
end function

public static double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	double tmp;
	if ((x * y) <= -8.5e+69) {
		tmp = (x * y) + (a * b);
	} else if ((x * y) <= 5.4e+224) {
		tmp = (c * i) + ((a * b) + (z * t));
	} else {
		tmp = (x * y) + (c * i);
	}
	return tmp;
}

def code(x, y, z, t, a, b, c, i):
	tmp = 0
	if (x * y) <= -8.5e+69:
		tmp = (x * y) + (a * b)
	elif (x * y) <= 5.4e+224:
		tmp = (c * i) + ((a * b) + (z * t))
	else:
		tmp = (x * y) + (c * i)
	return tmp

function code(x, y, z, t, a, b, c, i)
	tmp = 0.0
	if (Float64(x * y) <= -8.5e+69)
		tmp = Float64(Float64(x * y) + Float64(a * b));
	elseif (Float64(x * y) <= 5.4e+224)
		tmp = Float64(Float64(c * i) + Float64(Float64(a * b) + Float64(z * t)));
	else
		tmp = Float64(Float64(x * y) + Float64(c * i));
	end
	return tmp
end

function tmp_2 = code(x, y, z, t, a, b, c, i)
	tmp = 0.0;
	if ((x * y) <= -8.5e+69)
		tmp = (x * y) + (a * b);
	elseif ((x * y) <= 5.4e+224)
		tmp = (c * i) + ((a * b) + (z * t));
	else
		tmp = (x * y) + (c * i);
	end
	tmp_2 = tmp;
end

code[x_, y_, z_, t_, a_, b_, c_, i_] := If[LessEqual[N[(x * y), $MachinePrecision], -8.5e+69], N[(N[(x * y), $MachinePrecision] + N[(a * b), $MachinePrecision]), $MachinePrecision], If[LessEqual[N[(x * y), $MachinePrecision], 5.4e+224], N[(N[(c * i), $MachinePrecision] + N[(N[(a * b), $MachinePrecision] + N[(z * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(x * y), $MachinePrecision] + N[(c * i), $MachinePrecision]), $MachinePrecision]]]

\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;x \cdot y \leq -8.5 \cdot 10^{+69}:\\
\;\;\;\;x \cdot y + a \cdot b\\

\mathbf{elif}\;x \cdot y \leq 5.4 \cdot 10^{+224}:\\
\;\;\;\;c \cdot i + \left(a \cdot b + z \cdot t\right)\\

\mathbf{else}:\\
\;\;\;\;x \cdot y + c \cdot i\\


\end{array}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 11: 61.1% accurate, 0.9× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_1 := x \cdot y + z \cdot t\\ t_2 := c \cdot i + z \cdot t\\ \mathbf{if}\;z \leq -3.5 \cdot 10^{+152}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;z \leq -2.45 \cdot 10^{+58}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq -130000:\\ \;\;\;\;a \cdot b + c \cdot i\\ \mathbf{elif}\;z \leq -3.5 \cdot 10^{-46}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq 6.4 \cdot 10^{-13}:\\ \;\;\;\;x \cdot y + a \cdot b\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \end{array} \]
(FPCore (x y z t a b c i)
 :precision binary64
 (let* ((t_1 (+ (* x y) (* z t))) (t_2 (+ (* c i) (* z t))))
   (if (<= z -3.5e+152)
     t_2
     (if (<= z -2.45e+58)
       t_1
       (if (<= z -130000.0)
         (+ (* a b) (* c i))
         (if (<= z -3.5e-46)
           t_1
           (if (<= z 6.4e-13) (+ (* x y) (* a b)) t_2)))))))
double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	double t_1 = (x * y) + (z * t);
	double t_2 = (c * i) + (z * t);
	double tmp;
	if (z <= -3.5e+152) {
		tmp = t_2;
	} else if (z <= -2.45e+58) {
		tmp = t_1;
	} else if (z <= -130000.0) {
		tmp = (a * b) + (c * i);
	} else if (z <= -3.5e-46) {
		tmp = t_1;
	} else if (z <= 6.4e-13) {
		tmp = (x * y) + (a * b);
	} else {
		tmp = t_2;
	}
	return tmp;
}

real(8) function code(x, y, z, t, a, b, c, i)
    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), intent (in) :: c
    real(8), intent (in) :: i
    real(8) :: t_1
    real(8) :: t_2
    real(8) :: tmp
    t_1 = (x * y) + (z * t)
    t_2 = (c * i) + (z * t)
    if (z <= (-3.5d+152)) then
        tmp = t_2
    else if (z <= (-2.45d+58)) then
        tmp = t_1
    else if (z <= (-130000.0d0)) then
        tmp = (a * b) + (c * i)
    else if (z <= (-3.5d-46)) then
        tmp = t_1
    else if (z <= 6.4d-13) then
        tmp = (x * y) + (a * b)
    else
        tmp = t_2
    end if
    code = tmp
end function

public static double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	double t_1 = (x * y) + (z * t);
	double t_2 = (c * i) + (z * t);
	double tmp;
	if (z <= -3.5e+152) {
		tmp = t_2;
	} else if (z <= -2.45e+58) {
		tmp = t_1;
	} else if (z <= -130000.0) {
		tmp = (a * b) + (c * i);
	} else if (z <= -3.5e-46) {
		tmp = t_1;
	} else if (z <= 6.4e-13) {
		tmp = (x * y) + (a * b);
	} else {
		tmp = t_2;
	}
	return tmp;
}

def code(x, y, z, t, a, b, c, i):
	t_1 = (x * y) + (z * t)
	t_2 = (c * i) + (z * t)
	tmp = 0
	if z <= -3.5e+152:
		tmp = t_2
	elif z <= -2.45e+58:
		tmp = t_1
	elif z <= -130000.0:
		tmp = (a * b) + (c * i)
	elif z <= -3.5e-46:
		tmp = t_1
	elif z <= 6.4e-13:
		tmp = (x * y) + (a * b)
	else:
		tmp = t_2
	return tmp

function code(x, y, z, t, a, b, c, i)
	t_1 = Float64(Float64(x * y) + Float64(z * t))
	t_2 = Float64(Float64(c * i) + Float64(z * t))
	tmp = 0.0
	if (z <= -3.5e+152)
		tmp = t_2;
	elseif (z <= -2.45e+58)
		tmp = t_1;
	elseif (z <= -130000.0)
		tmp = Float64(Float64(a * b) + Float64(c * i));
	elseif (z <= -3.5e-46)
		tmp = t_1;
	elseif (z <= 6.4e-13)
		tmp = Float64(Float64(x * y) + Float64(a * b));
	else
		tmp = t_2;
	end
	return tmp
end

function tmp_2 = code(x, y, z, t, a, b, c, i)
	t_1 = (x * y) + (z * t);
	t_2 = (c * i) + (z * t);
	tmp = 0.0;
	if (z <= -3.5e+152)
		tmp = t_2;
	elseif (z <= -2.45e+58)
		tmp = t_1;
	elseif (z <= -130000.0)
		tmp = (a * b) + (c * i);
	elseif (z <= -3.5e-46)
		tmp = t_1;
	elseif (z <= 6.4e-13)
		tmp = (x * y) + (a * b);
	else
		tmp = t_2;
	end
	tmp_2 = tmp;
end

code[x_, y_, z_, t_, a_, b_, c_, i_] := Block[{t$95$1 = N[(N[(x * y), $MachinePrecision] + N[(z * t), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(c * i), $MachinePrecision] + N[(z * t), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[z, -3.5e+152], t$95$2, If[LessEqual[z, -2.45e+58], t$95$1, If[LessEqual[z, -130000.0], N[(N[(a * b), $MachinePrecision] + N[(c * i), $MachinePrecision]), $MachinePrecision], If[LessEqual[z, -3.5e-46], t$95$1, If[LessEqual[z, 6.4e-13], N[(N[(x * y), $MachinePrecision] + N[(a * b), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]]]

\begin{array}{l}

\\
\begin{array}{l}
t_1 := x \cdot y + z \cdot t\\
t_2 := c \cdot i + z \cdot t\\
\mathbf{if}\;z \leq -3.5 \cdot 10^{+152}:\\
\;\;\;\;t_2\\

\mathbf{elif}\;z \leq -2.45 \cdot 10^{+58}:\\
\;\;\;\;t_1\\

\mathbf{elif}\;z \leq -130000:\\
\;\;\;\;a \cdot b + c \cdot i\\

\mathbf{elif}\;z \leq -3.5 \cdot 10^{-46}:\\
\;\;\;\;t_1\\

\mathbf{elif}\;z \leq 6.4 \cdot 10^{-13}:\\
\;\;\;\;x \cdot y + a \cdot b\\

\mathbf{else}:\\
\;\;\;\;t_2\\


\end{array}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 12: 79.2% accurate, 0.9× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;z \leq -8.8 \cdot 10^{+130}:\\ \;\;\;\;c \cdot i + \left(a \cdot b + z \cdot t\right)\\ \mathbf{elif}\;z \leq -4 \cdot 10^{+59}:\\ \;\;\;\;c \cdot i + \left(x \cdot y + z \cdot t\right)\\ \mathbf{elif}\;z \leq 5.2 \cdot 10^{-13}:\\ \;\;\;\;c \cdot i + \left(x \cdot y + a \cdot b\right)\\ \mathbf{else}:\\ \;\;\;\;c \cdot i + z \cdot t\\ \end{array} \end{array} \]
(FPCore (x y z t a b c i)
 :precision binary64
 (if (<= z -8.8e+130)
   (+ (* c i) (+ (* a b) (* z t)))
   (if (<= z -4e+59)
     (+ (* c i) (+ (* x y) (* z t)))
     (if (<= z 5.2e-13) (+ (* c i) (+ (* x y) (* a b))) (+ (* c i) (* z t))))))
double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	double tmp;
	if (z <= -8.8e+130) {
		tmp = (c * i) + ((a * b) + (z * t));
	} else if (z <= -4e+59) {
		tmp = (c * i) + ((x * y) + (z * t));
	} else if (z <= 5.2e-13) {
		tmp = (c * i) + ((x * y) + (a * b));
	} else {
		tmp = (c * i) + (z * t);
	}
	return tmp;
}

real(8) function code(x, y, z, t, a, b, c, i)
    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), intent (in) :: c
    real(8), intent (in) :: i
    real(8) :: tmp
    if (z <= (-8.8d+130)) then
        tmp = (c * i) + ((a * b) + (z * t))
    else if (z <= (-4d+59)) then
        tmp = (c * i) + ((x * y) + (z * t))
    else if (z <= 5.2d-13) then
        tmp = (c * i) + ((x * y) + (a * b))
    else
        tmp = (c * i) + (z * t)
    end if
    code = tmp
end function

public static double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	double tmp;
	if (z <= -8.8e+130) {
		tmp = (c * i) + ((a * b) + (z * t));
	} else if (z <= -4e+59) {
		tmp = (c * i) + ((x * y) + (z * t));
	} else if (z <= 5.2e-13) {
		tmp = (c * i) + ((x * y) + (a * b));
	} else {
		tmp = (c * i) + (z * t);
	}
	return tmp;
}

def code(x, y, z, t, a, b, c, i):
	tmp = 0
	if z <= -8.8e+130:
		tmp = (c * i) + ((a * b) + (z * t))
	elif z <= -4e+59:
		tmp = (c * i) + ((x * y) + (z * t))
	elif z <= 5.2e-13:
		tmp = (c * i) + ((x * y) + (a * b))
	else:
		tmp = (c * i) + (z * t)
	return tmp

function code(x, y, z, t, a, b, c, i)
	tmp = 0.0
	if (z <= -8.8e+130)
		tmp = Float64(Float64(c * i) + Float64(Float64(a * b) + Float64(z * t)));
	elseif (z <= -4e+59)
		tmp = Float64(Float64(c * i) + Float64(Float64(x * y) + Float64(z * t)));
	elseif (z <= 5.2e-13)
		tmp = Float64(Float64(c * i) + Float64(Float64(x * y) + Float64(a * b)));
	else
		tmp = Float64(Float64(c * i) + Float64(z * t));
	end
	return tmp
end

function tmp_2 = code(x, y, z, t, a, b, c, i)
	tmp = 0.0;
	if (z <= -8.8e+130)
		tmp = (c * i) + ((a * b) + (z * t));
	elseif (z <= -4e+59)
		tmp = (c * i) + ((x * y) + (z * t));
	elseif (z <= 5.2e-13)
		tmp = (c * i) + ((x * y) + (a * b));
	else
		tmp = (c * i) + (z * t);
	end
	tmp_2 = tmp;
end

code[x_, y_, z_, t_, a_, b_, c_, i_] := If[LessEqual[z, -8.8e+130], N[(N[(c * i), $MachinePrecision] + N[(N[(a * b), $MachinePrecision] + N[(z * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[z, -4e+59], N[(N[(c * i), $MachinePrecision] + N[(N[(x * y), $MachinePrecision] + N[(z * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[z, 5.2e-13], N[(N[(c * i), $MachinePrecision] + N[(N[(x * y), $MachinePrecision] + N[(a * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(c * i), $MachinePrecision] + N[(z * t), $MachinePrecision]), $MachinePrecision]]]]

\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;z \leq -8.8 \cdot 10^{+130}:\\
\;\;\;\;c \cdot i + \left(a \cdot b + z \cdot t\right)\\

\mathbf{elif}\;z \leq -4 \cdot 10^{+59}:\\
\;\;\;\;c \cdot i + \left(x \cdot y + z \cdot t\right)\\

\mathbf{elif}\;z \leq 5.2 \cdot 10^{-13}:\\
\;\;\;\;c \cdot i + \left(x \cdot y + a \cdot b\right)\\

\mathbf{else}:\\
\;\;\;\;c \cdot i + z \cdot t\\


\end{array}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 13: 61.7% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_1 := c \cdot i + z \cdot t\\ \mathbf{if}\;z \leq -7.7 \cdot 10^{+151}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq -2.35 \cdot 10^{+58}:\\ \;\;\;\;x \cdot y + z \cdot t\\ \mathbf{elif}\;z \leq -2.2 \cdot 10^{-219}:\\ \;\;\;\;x \cdot y + c \cdot i\\ \mathbf{elif}\;z \leq 2.85 \cdot 10^{-21}:\\ \;\;\;\;x \cdot y + a \cdot b\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \end{array} \]
(FPCore (x y z t a b c i)
 :precision binary64
 (let* ((t_1 (+ (* c i) (* z t))))
   (if (<= z -7.7e+151)
     t_1
     (if (<= z -2.35e+58)
       (+ (* x y) (* z t))
       (if (<= z -2.2e-219)
         (+ (* x y) (* c i))
         (if (<= z 2.85e-21) (+ (* x y) (* a b)) t_1))))))
double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	double t_1 = (c * i) + (z * t);
	double tmp;
	if (z <= -7.7e+151) {
		tmp = t_1;
	} else if (z <= -2.35e+58) {
		tmp = (x * y) + (z * t);
	} else if (z <= -2.2e-219) {
		tmp = (x * y) + (c * i);
	} else if (z <= 2.85e-21) {
		tmp = (x * y) + (a * b);
	} else {
		tmp = t_1;
	}
	return tmp;
}

real(8) function code(x, y, z, t, a, b, c, i)
    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), intent (in) :: c
    real(8), intent (in) :: i
    real(8) :: t_1
    real(8) :: tmp
    t_1 = (c * i) + (z * t)
    if (z <= (-7.7d+151)) then
        tmp = t_1
    else if (z <= (-2.35d+58)) then
        tmp = (x * y) + (z * t)
    else if (z <= (-2.2d-219)) then
        tmp = (x * y) + (c * i)
    else if (z <= 2.85d-21) then
        tmp = (x * y) + (a * b)
    else
        tmp = t_1
    end if
    code = tmp
end function

public static double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	double t_1 = (c * i) + (z * t);
	double tmp;
	if (z <= -7.7e+151) {
		tmp = t_1;
	} else if (z <= -2.35e+58) {
		tmp = (x * y) + (z * t);
	} else if (z <= -2.2e-219) {
		tmp = (x * y) + (c * i);
	} else if (z <= 2.85e-21) {
		tmp = (x * y) + (a * b);
	} else {
		tmp = t_1;
	}
	return tmp;
}

def code(x, y, z, t, a, b, c, i):
	t_1 = (c * i) + (z * t)
	tmp = 0
	if z <= -7.7e+151:
		tmp = t_1
	elif z <= -2.35e+58:
		tmp = (x * y) + (z * t)
	elif z <= -2.2e-219:
		tmp = (x * y) + (c * i)
	elif z <= 2.85e-21:
		tmp = (x * y) + (a * b)
	else:
		tmp = t_1
	return tmp

function code(x, y, z, t, a, b, c, i)
	t_1 = Float64(Float64(c * i) + Float64(z * t))
	tmp = 0.0
	if (z <= -7.7e+151)
		tmp = t_1;
	elseif (z <= -2.35e+58)
		tmp = Float64(Float64(x * y) + Float64(z * t));
	elseif (z <= -2.2e-219)
		tmp = Float64(Float64(x * y) + Float64(c * i));
	elseif (z <= 2.85e-21)
		tmp = Float64(Float64(x * y) + Float64(a * b));
	else
		tmp = t_1;
	end
	return tmp
end

function tmp_2 = code(x, y, z, t, a, b, c, i)
	t_1 = (c * i) + (z * t);
	tmp = 0.0;
	if (z <= -7.7e+151)
		tmp = t_1;
	elseif (z <= -2.35e+58)
		tmp = (x * y) + (z * t);
	elseif (z <= -2.2e-219)
		tmp = (x * y) + (c * i);
	elseif (z <= 2.85e-21)
		tmp = (x * y) + (a * b);
	else
		tmp = t_1;
	end
	tmp_2 = tmp;
end

code[x_, y_, z_, t_, a_, b_, c_, i_] := Block[{t$95$1 = N[(N[(c * i), $MachinePrecision] + N[(z * t), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[z, -7.7e+151], t$95$1, If[LessEqual[z, -2.35e+58], N[(N[(x * y), $MachinePrecision] + N[(z * t), $MachinePrecision]), $MachinePrecision], If[LessEqual[z, -2.2e-219], N[(N[(x * y), $MachinePrecision] + N[(c * i), $MachinePrecision]), $MachinePrecision], If[LessEqual[z, 2.85e-21], N[(N[(x * y), $MachinePrecision] + N[(a * b), $MachinePrecision]), $MachinePrecision], t$95$1]]]]]

\begin{array}{l}

\\
\begin{array}{l}
t_1 := c \cdot i + z \cdot t\\
\mathbf{if}\;z \leq -7.7 \cdot 10^{+151}:\\
\;\;\;\;t_1\\

\mathbf{elif}\;z \leq -2.35 \cdot 10^{+58}:\\
\;\;\;\;x \cdot y + z \cdot t\\

\mathbf{elif}\;z \leq -2.2 \cdot 10^{-219}:\\
\;\;\;\;x \cdot y + c \cdot i\\

\mathbf{elif}\;z \leq 2.85 \cdot 10^{-21}:\\
\;\;\;\;x \cdot y + a \cdot b\\

\mathbf{else}:\\
\;\;\;\;t_1\\


\end{array}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 14: 43.4% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;c \cdot i \leq -6.5 \cdot 10^{+71}:\\ \;\;\;\;c \cdot i\\ \mathbf{elif}\;c \cdot i \leq 1.05 \cdot 10^{-306}:\\ \;\;\;\;z \cdot t\\ \mathbf{elif}\;c \cdot i \leq 7.2 \cdot 10^{+33}:\\ \;\;\;\;a \cdot b\\ \mathbf{else}:\\ \;\;\;\;c \cdot i\\ \end{array} \end{array} \]
(FPCore (x y z t a b c i)
 :precision binary64
 (if (<= (* c i) -6.5e+71)
   (* c i)
   (if (<= (* c i) 1.05e-306)
     (* z t)
     (if (<= (* c i) 7.2e+33) (* a b) (* c i)))))
double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	double tmp;
	if ((c * i) <= -6.5e+71) {
		tmp = c * i;
	} else if ((c * i) <= 1.05e-306) {
		tmp = z * t;
	} else if ((c * i) <= 7.2e+33) {
		tmp = a * b;
	} else {
		tmp = c * i;
	}
	return tmp;
}

real(8) function code(x, y, z, t, a, b, c, i)
    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), intent (in) :: c
    real(8), intent (in) :: i
    real(8) :: tmp
    if ((c * i) <= (-6.5d+71)) then
        tmp = c * i
    else if ((c * i) <= 1.05d-306) then
        tmp = z * t
    else if ((c * i) <= 7.2d+33) then
        tmp = a * b
    else
        tmp = c * i
    end if
    code = tmp
end function

public static double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	double tmp;
	if ((c * i) <= -6.5e+71) {
		tmp = c * i;
	} else if ((c * i) <= 1.05e-306) {
		tmp = z * t;
	} else if ((c * i) <= 7.2e+33) {
		tmp = a * b;
	} else {
		tmp = c * i;
	}
	return tmp;
}

def code(x, y, z, t, a, b, c, i):
	tmp = 0
	if (c * i) <= -6.5e+71:
		tmp = c * i
	elif (c * i) <= 1.05e-306:
		tmp = z * t
	elif (c * i) <= 7.2e+33:
		tmp = a * b
	else:
		tmp = c * i
	return tmp

function code(x, y, z, t, a, b, c, i)
	tmp = 0.0
	if (Float64(c * i) <= -6.5e+71)
		tmp = Float64(c * i);
	elseif (Float64(c * i) <= 1.05e-306)
		tmp = Float64(z * t);
	elseif (Float64(c * i) <= 7.2e+33)
		tmp = Float64(a * b);
	else
		tmp = Float64(c * i);
	end
	return tmp
end

function tmp_2 = code(x, y, z, t, a, b, c, i)
	tmp = 0.0;
	if ((c * i) <= -6.5e+71)
		tmp = c * i;
	elseif ((c * i) <= 1.05e-306)
		tmp = z * t;
	elseif ((c * i) <= 7.2e+33)
		tmp = a * b;
	else
		tmp = c * i;
	end
	tmp_2 = tmp;
end

code[x_, y_, z_, t_, a_, b_, c_, i_] := If[LessEqual[N[(c * i), $MachinePrecision], -6.5e+71], N[(c * i), $MachinePrecision], If[LessEqual[N[(c * i), $MachinePrecision], 1.05e-306], N[(z * t), $MachinePrecision], If[LessEqual[N[(c * i), $MachinePrecision], 7.2e+33], N[(a * b), $MachinePrecision], N[(c * i), $MachinePrecision]]]]

\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;c \cdot i \leq -6.5 \cdot 10^{+71}:\\
\;\;\;\;c \cdot i\\

\mathbf{elif}\;c \cdot i \leq 1.05 \cdot 10^{-306}:\\
\;\;\;\;z \cdot t\\

\mathbf{elif}\;c \cdot i \leq 7.2 \cdot 10^{+33}:\\
\;\;\;\;a \cdot b\\

\mathbf{else}:\\
\;\;\;\;c \cdot i\\


\end{array}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 15: 43.0% accurate, 1.3× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;c \cdot i \leq -4 \cdot 10^{+47} \lor \neg \left(c \cdot i \leq 1.9 \cdot 10^{+32}\right):\\ \;\;\;\;c \cdot i\\ \mathbf{else}:\\ \;\;\;\;a \cdot b\\ \end{array} \end{array} \]
(FPCore (x y z t a b c i)
 :precision binary64
 (if (or (<= (* c i) -4e+47) (not (<= (* c i) 1.9e+32))) (* c i) (* a b)))
double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	double tmp;
	if (((c * i) <= -4e+47) || !((c * i) <= 1.9e+32)) {
		tmp = c * i;
	} else {
		tmp = a * b;
	}
	return tmp;
}

real(8) function code(x, y, z, t, a, b, c, i)
    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), intent (in) :: c
    real(8), intent (in) :: i
    real(8) :: tmp
    if (((c * i) <= (-4d+47)) .or. (.not. ((c * i) <= 1.9d+32))) then
        tmp = c * i
    else
        tmp = a * b
    end if
    code = tmp
end function

public static double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	double tmp;
	if (((c * i) <= -4e+47) || !((c * i) <= 1.9e+32)) {
		tmp = c * i;
	} else {
		tmp = a * b;
	}
	return tmp;
}

def code(x, y, z, t, a, b, c, i):
	tmp = 0
	if ((c * i) <= -4e+47) or not ((c * i) <= 1.9e+32):
		tmp = c * i
	else:
		tmp = a * b
	return tmp

function code(x, y, z, t, a, b, c, i)
	tmp = 0.0
	if ((Float64(c * i) <= -4e+47) || !(Float64(c * i) <= 1.9e+32))
		tmp = Float64(c * i);
	else
		tmp = Float64(a * b);
	end
	return tmp
end

function tmp_2 = code(x, y, z, t, a, b, c, i)
	tmp = 0.0;
	if (((c * i) <= -4e+47) || ~(((c * i) <= 1.9e+32)))
		tmp = c * i;
	else
		tmp = a * b;
	end
	tmp_2 = tmp;
end

code[x_, y_, z_, t_, a_, b_, c_, i_] := If[Or[LessEqual[N[(c * i), $MachinePrecision], -4e+47], N[Not[LessEqual[N[(c * i), $MachinePrecision], 1.9e+32]], $MachinePrecision]], N[(c * i), $MachinePrecision], N[(a * b), $MachinePrecision]]

\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;c \cdot i \leq -4 \cdot 10^{+47} \lor \neg \left(c \cdot i \leq 1.9 \cdot 10^{+32}\right):\\
\;\;\;\;c \cdot i\\

\mathbf{else}:\\
\;\;\;\;a \cdot b\\


\end{array}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 16: 27.6% accurate, 5.0× speedup?

\[\begin{array}{l} \\ a \cdot b \end{array} \]
(FPCore (x y z t a b c i) :precision binary64 (* a b))
double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	return a * b;
}

real(8) function code(x, y, z, t, a, b, c, i)
    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), intent (in) :: c
    real(8), intent (in) :: i
    code = a * b
end function

public static double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	return a * b;
}

def code(x, y, z, t, a, b, c, i):
	return a * b

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

function tmp = code(x, y, z, t, a, b, c, i)
	tmp = a * b;
end

code[x_, y_, z_, t_, a_, b_, c_, i_] := N[(a * b), $MachinePrecision]

\begin{array}{l}

\\
a \cdot b
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Reproduce

?
herbie shell --seed 2023350 
(FPCore (x y z t a b c i)
  :name "Linear.V4:$cdot from linear-1.19.1.3, C"
  :precision binary64
  (+ (+ (+ (* x y) (* z t)) (* a b)) (* c i)))