FastMath dist3

Percentage Accurate: 97.7% → 100.0%

Time: 6.7s

Alternatives: 7

Speedup: 1.9×

• 21.7% of points produce a very large (infinite) output. You may want to add a precondition.

Specification

Math

\[\begin{array}{l} \\ \left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right) + d1 \cdot 32 \end{array} \]

FPCore

(FPCore (d1 d2 d3)
 :precision binary64
 (+ (+ (* d1 d2) (* (+ d3 5.0) d1)) (* d1 32.0)))

C

double code(double d1, double d2, double d3) {
	return ((d1 * d2) + ((d3 + 5.0) * d1)) + (d1 * 32.0);
}

Fortran

real(8) function code(d1, d2, d3)
    real(8), intent (in) :: d1
    real(8), intent (in) :: d2
    real(8), intent (in) :: d3
    code = ((d1 * d2) + ((d3 + 5.0d0) * d1)) + (d1 * 32.0d0)
end function

Java

public static double code(double d1, double d2, double d3) {
	return ((d1 * d2) + ((d3 + 5.0) * d1)) + (d1 * 32.0);
}

Python

def code(d1, d2, d3):
	return ((d1 * d2) + ((d3 + 5.0) * d1)) + (d1 * 32.0)

Julia

function code(d1, d2, d3)
	return Float64(Float64(Float64(d1 * d2) + Float64(Float64(d3 + 5.0) * d1)) + Float64(d1 * 32.0))
end

MATLAB

function tmp = code(d1, d2, d3)
	tmp = ((d1 * d2) + ((d3 + 5.0) * d1)) + (d1 * 32.0);
end

Wolfram

code[d1_, d2_, d3_] := N[(N[(N[(d1 * d2), $MachinePrecision] + N[(N[(d3 + 5.0), $MachinePrecision] * d1), $MachinePrecision]), $MachinePrecision] + N[(d1 * 32.0), $MachinePrecision]), $MachinePrecision]

Initial Program: 97.7% accurate, 1.0× speedup

Math

\[\begin{array}{l} \\ \left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right) + d1 \cdot 32 \end{array} \]

FPCore

(FPCore (d1 d2 d3)
 :precision binary64
 (+ (+ (* d1 d2) (* (+ d3 5.0) d1)) (* d1 32.0)))

C

double code(double d1, double d2, double d3) {
	return ((d1 * d2) + ((d3 + 5.0) * d1)) + (d1 * 32.0);
}

Fortran

real(8) function code(d1, d2, d3)
    real(8), intent (in) :: d1
    real(8), intent (in) :: d2
    real(8), intent (in) :: d3
    code = ((d1 * d2) + ((d3 + 5.0d0) * d1)) + (d1 * 32.0d0)
end function

Java

public static double code(double d1, double d2, double d3) {
	return ((d1 * d2) + ((d3 + 5.0) * d1)) + (d1 * 32.0);
}

Python

def code(d1, d2, d3):
	return ((d1 * d2) + ((d3 + 5.0) * d1)) + (d1 * 32.0)

Julia

function code(d1, d2, d3)
	return Float64(Float64(Float64(d1 * d2) + Float64(Float64(d3 + 5.0) * d1)) + Float64(d1 * 32.0))
end

MATLAB

function tmp = code(d1, d2, d3)
	tmp = ((d1 * d2) + ((d3 + 5.0) * d1)) + (d1 * 32.0);
end

Wolfram

code[d1_, d2_, d3_] := N[(N[(N[(d1 * d2), $MachinePrecision] + N[(N[(d3 + 5.0), $MachinePrecision] * d1), $MachinePrecision]), $MachinePrecision] + N[(d1 * 32.0), $MachinePrecision]), $MachinePrecision]

Alternative 1: 100.0% accurate, 1.9× speedup

Math

\[\begin{array}{l} \\ d1 \cdot \left(d2 + \left(d3 + 37\right)\right) \end{array} \]

FPCore

(FPCore (d1 d2 d3) :precision binary64 (* d1 (+ d2 (+ d3 37.0))))

C

double code(double d1, double d2, double d3) {
	return d1 * (d2 + (d3 + 37.0));
}

Fortran

real(8) function code(d1, d2, d3)
    real(8), intent (in) :: d1
    real(8), intent (in) :: d2
    real(8), intent (in) :: d3
    code = d1 * (d2 + (d3 + 37.0d0))
end function

Java

public static double code(double d1, double d2, double d3) {
	return d1 * (d2 + (d3 + 37.0));
}

Python

def code(d1, d2, d3):
	return d1 * (d2 + (d3 + 37.0))

Julia

function code(d1, d2, d3)
	return Float64(d1 * Float64(d2 + Float64(d3 + 37.0)))
end

MATLAB

function tmp = code(d1, d2, d3)
	tmp = d1 * (d2 + (d3 + 37.0));
end

Wolfram

code[d1_, d2_, d3_] := N[(d1 * N[(d2 + N[(d3 + 37.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 98.0%

   \[\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right) + d1 \cdot 32 \]
2. Step-by-step derivation

   1. +-commutative N/A

      \[\leadsto d1 \cdot 32 + \color{blue}{\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right)} \]

   2. *-commutative N/A

      \[\leadsto d1 \cdot 32 + \left(d1 \cdot d2 + d1 \cdot \color{blue}{\left(d3 + 5\right)}\right) \]

   3. distribute-lft-out N/A

      \[\leadsto d1 \cdot 32 + d1 \cdot \color{blue}{\left(d2 + \left(d3 + 5\right)\right)} \]

   4. distribute-lft-out N/A

      \[\leadsto d1 \cdot \color{blue}{\left(32 + \left(d2 + \left(d3 + 5\right)\right)\right)} \]

   5. *-lowering-*.f64 N/A

      \[\leadsto \mathsf{*.f64}\left(d1, \color{blue}{\left(32 + \left(d2 + \left(d3 + 5\right)\right)\right)}\right) \]

   6. +-commutative N/A

      \[\leadsto \mathsf{*.f64}\left(d1, \left(\left(d2 + \left(d3 + 5\right)\right) + \color{blue}{32}\right)\right) \]

   7. associate-+r+ N/A

      \[\leadsto \mathsf{*.f64}\left(d1, \left(d2 + \color{blue}{\left(\left(d3 + 5\right) + 32\right)}\right)\right) \]

   8. +-lowering-+.f64 N/A

      \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \color{blue}{\left(\left(d3 + 5\right) + 32\right)}\right)\right) \]

   9. associate-+l+ N/A

      \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \left(d3 + \color{blue}{\left(5 + 32\right)}\right)\right)\right) \]

   10. +-lowering-+.f64 N/A

       \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \mathsf{+.f64}\left(d3, \color{blue}{\left(5 + 32\right)}\right)\right)\right) \]

   11. metadata-eval 100.0%

       \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \mathsf{+.f64}\left(d3, 37\right)\right)\right) \]

3. Simplified 100.0%

   \[\leadsto \color{blue}{d1 \cdot \left(d2 + \left(d3 + 37\right)\right)} \]
4. Add Preprocessing
5. Add Preprocessing

Alternative 2: 51.1% accurate, 1.0× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;d2 \leq -42:\\ \;\;\;\;d1 \cdot d2\\ \mathbf{elif}\;d2 \leq 7.6 \cdot 10^{-170}:\\ \;\;\;\;d1 \cdot 37\\ \mathbf{else}:\\ \;\;\;\;d1 \cdot d3\\ \end{array} \end{array} \]

FPCore

(FPCore (d1 d2 d3)
 :precision binary64
 (if (<= d2 -42.0) (* d1 d2) (if (<= d2 7.6e-170) (* d1 37.0) (* d1 d3))))

C

double code(double d1, double d2, double d3) {
	double tmp;
	if (d2 <= -42.0) {
		tmp = d1 * d2;
	} else if (d2 <= 7.6e-170) {
		tmp = d1 * 37.0;
	} else {
		tmp = d1 * d3;
	}
	return tmp;
}

Fortran

real(8) function code(d1, d2, d3)
    real(8), intent (in) :: d1
    real(8), intent (in) :: d2
    real(8), intent (in) :: d3
    real(8) :: tmp
    if (d2 <= (-42.0d0)) then
        tmp = d1 * d2
    else if (d2 <= 7.6d-170) then
        tmp = d1 * 37.0d0
    else
        tmp = d1 * d3
    end if
    code = tmp
end function

Java

public static double code(double d1, double d2, double d3) {
	double tmp;
	if (d2 <= -42.0) {
		tmp = d1 * d2;
	} else if (d2 <= 7.6e-170) {
		tmp = d1 * 37.0;
	} else {
		tmp = d1 * d3;
	}
	return tmp;
}

Python

def code(d1, d2, d3):
	tmp = 0
	if d2 <= -42.0:
		tmp = d1 * d2
	elif d2 <= 7.6e-170:
		tmp = d1 * 37.0
	else:
		tmp = d1 * d3
	return tmp

Julia

function code(d1, d2, d3)
	tmp = 0.0
	if (d2 <= -42.0)
		tmp = Float64(d1 * d2);
	elseif (d2 <= 7.6e-170)
		tmp = Float64(d1 * 37.0);
	else
		tmp = Float64(d1 * d3);
	end
	return tmp
end

MATLAB

function tmp_2 = code(d1, d2, d3)
	tmp = 0.0;
	if (d2 <= -42.0)
		tmp = d1 * d2;
	elseif (d2 <= 7.6e-170)
		tmp = d1 * 37.0;
	else
		tmp = d1 * d3;
	end
	tmp_2 = tmp;
end

Wolfram

code[d1_, d2_, d3_] := If[LessEqual[d2, -42.0], N[(d1 * d2), $MachinePrecision], If[LessEqual[d2, 7.6e-170], N[(d1 * 37.0), $MachinePrecision], N[(d1 * d3), $MachinePrecision]]]

Derivation

1. Split input into 3 regimes

2. if d2 < -42

   1. Initial program 96.0%

      \[\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right) + d1 \cdot 32 \]
   2. Step-by-step derivation

      1. +-commutative N/A

         \[\leadsto d1 \cdot 32 + \color{blue}{\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right)} \]

      2. *-commutative N/A

         \[\leadsto d1 \cdot 32 + \left(d1 \cdot d2 + d1 \cdot \color{blue}{\left(d3 + 5\right)}\right) \]

      3. distribute-lft-out N/A

         \[\leadsto d1 \cdot 32 + d1 \cdot \color{blue}{\left(d2 + \left(d3 + 5\right)\right)} \]

      4. distribute-lft-out N/A

         \[\leadsto d1 \cdot \color{blue}{\left(32 + \left(d2 + \left(d3 + 5\right)\right)\right)} \]

      5. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \color{blue}{\left(32 + \left(d2 + \left(d3 + 5\right)\right)\right)}\right) \]

      6. +-commutative N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \left(\left(d2 + \left(d3 + 5\right)\right) + \color{blue}{32}\right)\right) \]

      7. associate-+r+ N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \left(d2 + \color{blue}{\left(\left(d3 + 5\right) + 32\right)}\right)\right) \]

      8. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \color{blue}{\left(\left(d3 + 5\right) + 32\right)}\right)\right) \]

      9. associate-+l+ N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \left(d3 + \color{blue}{\left(5 + 32\right)}\right)\right)\right) \]

      10. +-lowering-+.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \mathsf{+.f64}\left(d3, \color{blue}{\left(5 + 32\right)}\right)\right)\right) \]

      11. metadata-eval 100.0%

          \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \mathsf{+.f64}\left(d3, 37\right)\right)\right) \]

   3. Simplified 100.0%

      \[\leadsto \color{blue}{d1 \cdot \left(d2 + \left(d3 + 37\right)\right)} \]
   4. Add Preprocessing

   5. Taylor expanded in d2 around inf

      \[\leadsto \color{blue}{d1 \cdot d2} \]
   6. Step-by-step derivation

      1. *-lowering-*.f64 75.6%

         \[\leadsto \mathsf{*.f64}\left(d1, \color{blue}{d2}\right) \]

   7. Simplified 75.6%

      \[\leadsto \color{blue}{d1 \cdot d2} \]

   if -42 < d2 < 7.5999999999999995e-170

   1. Initial program 99.9%

      \[\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right) + d1 \cdot 32 \]
   2. Step-by-step derivation

      1. +-commutative N/A

         \[\leadsto d1 \cdot 32 + \color{blue}{\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right)} \]

      2. *-commutative N/A

         \[\leadsto d1 \cdot 32 + \left(d1 \cdot d2 + d1 \cdot \color{blue}{\left(d3 + 5\right)}\right) \]

      3. distribute-lft-out N/A

         \[\leadsto d1 \cdot 32 + d1 \cdot \color{blue}{\left(d2 + \left(d3 + 5\right)\right)} \]

      4. distribute-lft-out N/A

         \[\leadsto d1 \cdot \color{blue}{\left(32 + \left(d2 + \left(d3 + 5\right)\right)\right)} \]

      5. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \color{blue}{\left(32 + \left(d2 + \left(d3 + 5\right)\right)\right)}\right) \]

      6. +-commutative N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \left(\left(d2 + \left(d3 + 5\right)\right) + \color{blue}{32}\right)\right) \]

      7. associate-+r+ N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \left(d2 + \color{blue}{\left(\left(d3 + 5\right) + 32\right)}\right)\right) \]

      8. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \color{blue}{\left(\left(d3 + 5\right) + 32\right)}\right)\right) \]

      9. associate-+l+ N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \left(d3 + \color{blue}{\left(5 + 32\right)}\right)\right)\right) \]

      10. +-lowering-+.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \mathsf{+.f64}\left(d3, \color{blue}{\left(5 + 32\right)}\right)\right)\right) \]

      11. metadata-eval 100.0%

          \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \mathsf{+.f64}\left(d3, 37\right)\right)\right) \]

   3. Simplified 100.0%

      \[\leadsto \color{blue}{d1 \cdot \left(d2 + \left(d3 + 37\right)\right)} \]
   4. Add Preprocessing

   5. Taylor expanded in d2 around 0

      \[\leadsto \color{blue}{d1 \cdot \left(37 + d3\right)} \]
   6. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \color{blue}{\left(37 + d3\right)}\right) \]

      2. +-lowering-+.f64 99.2%

         \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(37, \color{blue}{d3}\right)\right) \]

   7. Simplified 99.2%

      \[\leadsto \color{blue}{d1 \cdot \left(37 + d3\right)} \]

   8. Taylor expanded in d3 around 0

      \[\leadsto \color{blue}{37 \cdot d1} \]
   9. Step-by-step derivation

      1. *-commutative N/A

         \[\leadsto d1 \cdot \color{blue}{37} \]

      2. *-lowering-*.f64 47.3%

         \[\leadsto \mathsf{*.f64}\left(d1, \color{blue}{37}\right) \]

   10. Simplified 47.3%

       \[\leadsto \color{blue}{d1 \cdot 37} \]

   if 7.5999999999999995e-170 < d2

   1. Initial program 97.5%

      \[\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right) + d1 \cdot 32 \]
   2. Step-by-step derivation

      1. +-commutative N/A

         \[\leadsto d1 \cdot 32 + \color{blue}{\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right)} \]

      2. *-commutative N/A

         \[\leadsto d1 \cdot 32 + \left(d1 \cdot d2 + d1 \cdot \color{blue}{\left(d3 + 5\right)}\right) \]

      3. distribute-lft-out N/A

         \[\leadsto d1 \cdot 32 + d1 \cdot \color{blue}{\left(d2 + \left(d3 + 5\right)\right)} \]

      4. distribute-lft-out N/A

         \[\leadsto d1 \cdot \color{blue}{\left(32 + \left(d2 + \left(d3 + 5\right)\right)\right)} \]

      5. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \color{blue}{\left(32 + \left(d2 + \left(d3 + 5\right)\right)\right)}\right) \]

      6. +-commutative N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \left(\left(d2 + \left(d3 + 5\right)\right) + \color{blue}{32}\right)\right) \]

      7. associate-+r+ N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \left(d2 + \color{blue}{\left(\left(d3 + 5\right) + 32\right)}\right)\right) \]

      8. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \color{blue}{\left(\left(d3 + 5\right) + 32\right)}\right)\right) \]

      9. associate-+l+ N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \left(d3 + \color{blue}{\left(5 + 32\right)}\right)\right)\right) \]

      10. +-lowering-+.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \mathsf{+.f64}\left(d3, \color{blue}{\left(5 + 32\right)}\right)\right)\right) \]

      11. metadata-eval 100.0%

          \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \mathsf{+.f64}\left(d3, 37\right)\right)\right) \]

   3. Simplified 100.0%

      \[\leadsto \color{blue}{d1 \cdot \left(d2 + \left(d3 + 37\right)\right)} \]
   4. Add Preprocessing

   5. Taylor expanded in d3 around inf

      \[\leadsto \color{blue}{d1 \cdot d3} \]
   6. Step-by-step derivation

      1. *-lowering-*.f64 38.1%

         \[\leadsto \mathsf{*.f64}\left(d1, \color{blue}{d3}\right) \]

   7. Simplified 38.1%

      \[\leadsto \color{blue}{d1 \cdot d3} \]
3. Recombined 3 regimes into one program.
4. Add Preprocessing

Alternative 3: 81.4% accurate, 1.3× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;d2 \leq -36:\\ \;\;\;\;d1 \cdot \left(d2 + d3\right)\\ \mathbf{else}:\\ \;\;\;\;d1 \cdot \left(d3 + 37\right)\\ \end{array} \end{array} \]

FPCore

(FPCore (d1 d2 d3)
 :precision binary64
 (if (<= d2 -36.0) (* d1 (+ d2 d3)) (* d1 (+ d3 37.0))))

C

double code(double d1, double d2, double d3) {
	double tmp;
	if (d2 <= -36.0) {
		tmp = d1 * (d2 + d3);
	} else {
		tmp = d1 * (d3 + 37.0);
	}
	return tmp;
}

Fortran

real(8) function code(d1, d2, d3)
    real(8), intent (in) :: d1
    real(8), intent (in) :: d2
    real(8), intent (in) :: d3
    real(8) :: tmp
    if (d2 <= (-36.0d0)) then
        tmp = d1 * (d2 + d3)
    else
        tmp = d1 * (d3 + 37.0d0)
    end if
    code = tmp
end function

Java

public static double code(double d1, double d2, double d3) {
	double tmp;
	if (d2 <= -36.0) {
		tmp = d1 * (d2 + d3);
	} else {
		tmp = d1 * (d3 + 37.0);
	}
	return tmp;
}

Python

def code(d1, d2, d3):
	tmp = 0
	if d2 <= -36.0:
		tmp = d1 * (d2 + d3)
	else:
		tmp = d1 * (d3 + 37.0)
	return tmp

Julia

function code(d1, d2, d3)
	tmp = 0.0
	if (d2 <= -36.0)
		tmp = Float64(d1 * Float64(d2 + d3));
	else
		tmp = Float64(d1 * Float64(d3 + 37.0));
	end
	return tmp
end

MATLAB

function tmp_2 = code(d1, d2, d3)
	tmp = 0.0;
	if (d2 <= -36.0)
		tmp = d1 * (d2 + d3);
	else
		tmp = d1 * (d3 + 37.0);
	end
	tmp_2 = tmp;
end

Wolfram

code[d1_, d2_, d3_] := If[LessEqual[d2, -36.0], N[(d1 * N[(d2 + d3), $MachinePrecision]), $MachinePrecision], N[(d1 * N[(d3 + 37.0), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if d2 < -36

   1. Initial program 96.0%

      \[\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right) + d1 \cdot 32 \]
   2. Step-by-step derivation

      1. +-commutative N/A

         \[\leadsto d1 \cdot 32 + \color{blue}{\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right)} \]

      2. *-commutative N/A

         \[\leadsto d1 \cdot 32 + \left(d1 \cdot d2 + d1 \cdot \color{blue}{\left(d3 + 5\right)}\right) \]

      3. distribute-lft-out N/A

         \[\leadsto d1 \cdot 32 + d1 \cdot \color{blue}{\left(d2 + \left(d3 + 5\right)\right)} \]

      4. distribute-lft-out N/A

         \[\leadsto d1 \cdot \color{blue}{\left(32 + \left(d2 + \left(d3 + 5\right)\right)\right)} \]

      5. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \color{blue}{\left(32 + \left(d2 + \left(d3 + 5\right)\right)\right)}\right) \]

      6. +-commutative N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \left(\left(d2 + \left(d3 + 5\right)\right) + \color{blue}{32}\right)\right) \]

      7. associate-+r+ N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \left(d2 + \color{blue}{\left(\left(d3 + 5\right) + 32\right)}\right)\right) \]

      8. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \color{blue}{\left(\left(d3 + 5\right) + 32\right)}\right)\right) \]

      9. associate-+l+ N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \left(d3 + \color{blue}{\left(5 + 32\right)}\right)\right)\right) \]

      10. +-lowering-+.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \mathsf{+.f64}\left(d3, \color{blue}{\left(5 + 32\right)}\right)\right)\right) \]

      11. metadata-eval 100.0%

          \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \mathsf{+.f64}\left(d3, 37\right)\right)\right) \]

   3. Simplified 100.0%

      \[\leadsto \color{blue}{d1 \cdot \left(d2 + \left(d3 + 37\right)\right)} \]
   4. Add Preprocessing

   5. Taylor expanded in d3 around inf

      \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \color{blue}{d3}\right)\right) \]
   6. Step-by-step derivation

   7. Simplified 100.0%

      \[\leadsto d1 \cdot \left(d2 + \color{blue}{d3}\right) \]

   if -36 < d2

   1. Initial program 98.8%

      \[\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right) + d1 \cdot 32 \]
   2. Step-by-step derivation

      1. +-commutative N/A

         \[\leadsto d1 \cdot 32 + \color{blue}{\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right)} \]

      2. *-commutative N/A

         \[\leadsto d1 \cdot 32 + \left(d1 \cdot d2 + d1 \cdot \color{blue}{\left(d3 + 5\right)}\right) \]

      3. distribute-lft-out N/A

         \[\leadsto d1 \cdot 32 + d1 \cdot \color{blue}{\left(d2 + \left(d3 + 5\right)\right)} \]

      4. distribute-lft-out N/A

         \[\leadsto d1 \cdot \color{blue}{\left(32 + \left(d2 + \left(d3 + 5\right)\right)\right)} \]

      5. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \color{blue}{\left(32 + \left(d2 + \left(d3 + 5\right)\right)\right)}\right) \]

      6. +-commutative N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \left(\left(d2 + \left(d3 + 5\right)\right) + \color{blue}{32}\right)\right) \]

      7. associate-+r+ N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \left(d2 + \color{blue}{\left(\left(d3 + 5\right) + 32\right)}\right)\right) \]

      8. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \color{blue}{\left(\left(d3 + 5\right) + 32\right)}\right)\right) \]

      9. associate-+l+ N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \left(d3 + \color{blue}{\left(5 + 32\right)}\right)\right)\right) \]

      10. +-lowering-+.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \mathsf{+.f64}\left(d3, \color{blue}{\left(5 + 32\right)}\right)\right)\right) \]

      11. metadata-eval 100.0%

          \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \mathsf{+.f64}\left(d3, 37\right)\right)\right) \]

   3. Simplified 100.0%

      \[\leadsto \color{blue}{d1 \cdot \left(d2 + \left(d3 + 37\right)\right)} \]
   4. Add Preprocessing

   5. Taylor expanded in d2 around 0

      \[\leadsto \color{blue}{d1 \cdot \left(37 + d3\right)} \]
   6. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \color{blue}{\left(37 + d3\right)}\right) \]

      2. +-lowering-+.f64 79.7%

         \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(37, \color{blue}{d3}\right)\right) \]

   7. Simplified 79.7%

      \[\leadsto \color{blue}{d1 \cdot \left(37 + d3\right)} \]
3. Recombined 2 regimes into one program.

4. Final simplification 85.6%

   \[\leadsto \begin{array}{l} \mathbf{if}\;d2 \leq -36:\\ \;\;\;\;d1 \cdot \left(d2 + d3\right)\\ \mathbf{else}:\\ \;\;\;\;d1 \cdot \left(d3 + 37\right)\\ \end{array} \]
5. Add Preprocessing

Alternative 4: 76.0% accurate, 1.3× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;d2 \leq -0.245:\\ \;\;\;\;d1 \cdot \left(d2 + 37\right)\\ \mathbf{else}:\\ \;\;\;\;d1 \cdot \left(d3 + 37\right)\\ \end{array} \end{array} \]

FPCore

(FPCore (d1 d2 d3)
 :precision binary64
 (if (<= d2 -0.245) (* d1 (+ d2 37.0)) (* d1 (+ d3 37.0))))

C

double code(double d1, double d2, double d3) {
	double tmp;
	if (d2 <= -0.245) {
		tmp = d1 * (d2 + 37.0);
	} else {
		tmp = d1 * (d3 + 37.0);
	}
	return tmp;
}

Fortran

real(8) function code(d1, d2, d3)
    real(8), intent (in) :: d1
    real(8), intent (in) :: d2
    real(8), intent (in) :: d3
    real(8) :: tmp
    if (d2 <= (-0.245d0)) then
        tmp = d1 * (d2 + 37.0d0)
    else
        tmp = d1 * (d3 + 37.0d0)
    end if
    code = tmp
end function

Java

public static double code(double d1, double d2, double d3) {
	double tmp;
	if (d2 <= -0.245) {
		tmp = d1 * (d2 + 37.0);
	} else {
		tmp = d1 * (d3 + 37.0);
	}
	return tmp;
}

Python

def code(d1, d2, d3):
	tmp = 0
	if d2 <= -0.245:
		tmp = d1 * (d2 + 37.0)
	else:
		tmp = d1 * (d3 + 37.0)
	return tmp

Julia

function code(d1, d2, d3)
	tmp = 0.0
	if (d2 <= -0.245)
		tmp = Float64(d1 * Float64(d2 + 37.0));
	else
		tmp = Float64(d1 * Float64(d3 + 37.0));
	end
	return tmp
end

MATLAB

function tmp_2 = code(d1, d2, d3)
	tmp = 0.0;
	if (d2 <= -0.245)
		tmp = d1 * (d2 + 37.0);
	else
		tmp = d1 * (d3 + 37.0);
	end
	tmp_2 = tmp;
end

Wolfram

code[d1_, d2_, d3_] := If[LessEqual[d2, -0.245], N[(d1 * N[(d2 + 37.0), $MachinePrecision]), $MachinePrecision], N[(d1 * N[(d3 + 37.0), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if d2 < -0.245

   1. Initial program 96.0%

      \[\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right) + d1 \cdot 32 \]
   2. Step-by-step derivation

      1. +-commutative N/A

         \[\leadsto d1 \cdot 32 + \color{blue}{\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right)} \]

      2. *-commutative N/A

         \[\leadsto d1 \cdot 32 + \left(d1 \cdot d2 + d1 \cdot \color{blue}{\left(d3 + 5\right)}\right) \]

      3. distribute-lft-out N/A

         \[\leadsto d1 \cdot 32 + d1 \cdot \color{blue}{\left(d2 + \left(d3 + 5\right)\right)} \]

      4. distribute-lft-out N/A

         \[\leadsto d1 \cdot \color{blue}{\left(32 + \left(d2 + \left(d3 + 5\right)\right)\right)} \]

      5. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \color{blue}{\left(32 + \left(d2 + \left(d3 + 5\right)\right)\right)}\right) \]

      6. +-commutative N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \left(\left(d2 + \left(d3 + 5\right)\right) + \color{blue}{32}\right)\right) \]

      7. associate-+r+ N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \left(d2 + \color{blue}{\left(\left(d3 + 5\right) + 32\right)}\right)\right) \]

      8. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \color{blue}{\left(\left(d3 + 5\right) + 32\right)}\right)\right) \]

      9. associate-+l+ N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \left(d3 + \color{blue}{\left(5 + 32\right)}\right)\right)\right) \]

      10. +-lowering-+.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \mathsf{+.f64}\left(d3, \color{blue}{\left(5 + 32\right)}\right)\right)\right) \]

      11. metadata-eval 100.0%

          \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \mathsf{+.f64}\left(d3, 37\right)\right)\right) \]

   3. Simplified 100.0%

      \[\leadsto \color{blue}{d1 \cdot \left(d2 + \left(d3 + 37\right)\right)} \]
   4. Add Preprocessing

   5. Taylor expanded in d3 around 0

      \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \color{blue}{37}\right)\right) \]
   6. Step-by-step derivation

   7. Simplified 76.0%

      \[\leadsto d1 \cdot \left(d2 + \color{blue}{37}\right) \]

   if -0.245 < d2

   1. Initial program 98.8%

      \[\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right) + d1 \cdot 32 \]
   2. Step-by-step derivation

      1. +-commutative N/A

         \[\leadsto d1 \cdot 32 + \color{blue}{\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right)} \]

      2. *-commutative N/A

         \[\leadsto d1 \cdot 32 + \left(d1 \cdot d2 + d1 \cdot \color{blue}{\left(d3 + 5\right)}\right) \]

      3. distribute-lft-out N/A

         \[\leadsto d1 \cdot 32 + d1 \cdot \color{blue}{\left(d2 + \left(d3 + 5\right)\right)} \]

      4. distribute-lft-out N/A

         \[\leadsto d1 \cdot \color{blue}{\left(32 + \left(d2 + \left(d3 + 5\right)\right)\right)} \]

      5. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \color{blue}{\left(32 + \left(d2 + \left(d3 + 5\right)\right)\right)}\right) \]

      6. +-commutative N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \left(\left(d2 + \left(d3 + 5\right)\right) + \color{blue}{32}\right)\right) \]

      7. associate-+r+ N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \left(d2 + \color{blue}{\left(\left(d3 + 5\right) + 32\right)}\right)\right) \]

      8. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \color{blue}{\left(\left(d3 + 5\right) + 32\right)}\right)\right) \]

      9. associate-+l+ N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \left(d3 + \color{blue}{\left(5 + 32\right)}\right)\right)\right) \]

      10. +-lowering-+.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \mathsf{+.f64}\left(d3, \color{blue}{\left(5 + 32\right)}\right)\right)\right) \]

      11. metadata-eval 100.0%

          \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \mathsf{+.f64}\left(d3, 37\right)\right)\right) \]

   3. Simplified 100.0%

      \[\leadsto \color{blue}{d1 \cdot \left(d2 + \left(d3 + 37\right)\right)} \]
   4. Add Preprocessing

   5. Taylor expanded in d2 around 0

      \[\leadsto \color{blue}{d1 \cdot \left(37 + d3\right)} \]
   6. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \color{blue}{\left(37 + d3\right)}\right) \]

      2. +-lowering-+.f64 80.0%

         \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(37, \color{blue}{d3}\right)\right) \]

   7. Simplified 80.0%

      \[\leadsto \color{blue}{d1 \cdot \left(37 + d3\right)} \]
3. Recombined 2 regimes into one program.

4. Final simplification 78.8%

   \[\leadsto \begin{array}{l} \mathbf{if}\;d2 \leq -0.245:\\ \;\;\;\;d1 \cdot \left(d2 + 37\right)\\ \mathbf{else}:\\ \;\;\;\;d1 \cdot \left(d3 + 37\right)\\ \end{array} \]
5. Add Preprocessing

Alternative 5: 76.0% accurate, 1.3× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;d2 \leq -33500000000000:\\ \;\;\;\;d1 \cdot d2\\ \mathbf{else}:\\ \;\;\;\;d1 \cdot \left(d3 + 37\right)\\ \end{array} \end{array} \]

FPCore

(FPCore (d1 d2 d3)
 :precision binary64
 (if (<= d2 -33500000000000.0) (* d1 d2) (* d1 (+ d3 37.0))))

C

double code(double d1, double d2, double d3) {
	double tmp;
	if (d2 <= -33500000000000.0) {
		tmp = d1 * d2;
	} else {
		tmp = d1 * (d3 + 37.0);
	}
	return tmp;
}

Fortran

real(8) function code(d1, d2, d3)
    real(8), intent (in) :: d1
    real(8), intent (in) :: d2
    real(8), intent (in) :: d3
    real(8) :: tmp
    if (d2 <= (-33500000000000.0d0)) then
        tmp = d1 * d2
    else
        tmp = d1 * (d3 + 37.0d0)
    end if
    code = tmp
end function

Java

public static double code(double d1, double d2, double d3) {
	double tmp;
	if (d2 <= -33500000000000.0) {
		tmp = d1 * d2;
	} else {
		tmp = d1 * (d3 + 37.0);
	}
	return tmp;
}

Python

def code(d1, d2, d3):
	tmp = 0
	if d2 <= -33500000000000.0:
		tmp = d1 * d2
	else:
		tmp = d1 * (d3 + 37.0)
	return tmp

Julia

function code(d1, d2, d3)
	tmp = 0.0
	if (d2 <= -33500000000000.0)
		tmp = Float64(d1 * d2);
	else
		tmp = Float64(d1 * Float64(d3 + 37.0));
	end
	return tmp
end

MATLAB

function tmp_2 = code(d1, d2, d3)
	tmp = 0.0;
	if (d2 <= -33500000000000.0)
		tmp = d1 * d2;
	else
		tmp = d1 * (d3 + 37.0);
	end
	tmp_2 = tmp;
end

Wolfram

code[d1_, d2_, d3_] := If[LessEqual[d2, -33500000000000.0], N[(d1 * d2), $MachinePrecision], N[(d1 * N[(d3 + 37.0), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if d2 < -3.35e13

   1. Initial program 95.8%

      \[\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right) + d1 \cdot 32 \]
   2. Step-by-step derivation

      1. +-commutative N/A

         \[\leadsto d1 \cdot 32 + \color{blue}{\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right)} \]

      2. *-commutative N/A

         \[\leadsto d1 \cdot 32 + \left(d1 \cdot d2 + d1 \cdot \color{blue}{\left(d3 + 5\right)}\right) \]

      3. distribute-lft-out N/A

         \[\leadsto d1 \cdot 32 + d1 \cdot \color{blue}{\left(d2 + \left(d3 + 5\right)\right)} \]

      4. distribute-lft-out N/A

         \[\leadsto d1 \cdot \color{blue}{\left(32 + \left(d2 + \left(d3 + 5\right)\right)\right)} \]

      5. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \color{blue}{\left(32 + \left(d2 + \left(d3 + 5\right)\right)\right)}\right) \]

      6. +-commutative N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \left(\left(d2 + \left(d3 + 5\right)\right) + \color{blue}{32}\right)\right) \]

      7. associate-+r+ N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \left(d2 + \color{blue}{\left(\left(d3 + 5\right) + 32\right)}\right)\right) \]

      8. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \color{blue}{\left(\left(d3 + 5\right) + 32\right)}\right)\right) \]

      9. associate-+l+ N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \left(d3 + \color{blue}{\left(5 + 32\right)}\right)\right)\right) \]

      10. +-lowering-+.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \mathsf{+.f64}\left(d3, \color{blue}{\left(5 + 32\right)}\right)\right)\right) \]

      11. metadata-eval 100.0%

          \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \mathsf{+.f64}\left(d3, 37\right)\right)\right) \]

   3. Simplified 100.0%

      \[\leadsto \color{blue}{d1 \cdot \left(d2 + \left(d3 + 37\right)\right)} \]
   4. Add Preprocessing

   5. Taylor expanded in d2 around inf

      \[\leadsto \color{blue}{d1 \cdot d2} \]
   6. Step-by-step derivation

      1. *-lowering-*.f64 78.7%

         \[\leadsto \mathsf{*.f64}\left(d1, \color{blue}{d2}\right) \]

   7. Simplified 78.7%

      \[\leadsto \color{blue}{d1 \cdot d2} \]

   if -3.35e13 < d2

   1. Initial program 98.8%

      \[\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right) + d1 \cdot 32 \]
   2. Step-by-step derivation

      1. +-commutative N/A

         \[\leadsto d1 \cdot 32 + \color{blue}{\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right)} \]

      2. *-commutative N/A

         \[\leadsto d1 \cdot 32 + \left(d1 \cdot d2 + d1 \cdot \color{blue}{\left(d3 + 5\right)}\right) \]

      3. distribute-lft-out N/A

         \[\leadsto d1 \cdot 32 + d1 \cdot \color{blue}{\left(d2 + \left(d3 + 5\right)\right)} \]

      4. distribute-lft-out N/A

         \[\leadsto d1 \cdot \color{blue}{\left(32 + \left(d2 + \left(d3 + 5\right)\right)\right)} \]

      5. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \color{blue}{\left(32 + \left(d2 + \left(d3 + 5\right)\right)\right)}\right) \]

      6. +-commutative N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \left(\left(d2 + \left(d3 + 5\right)\right) + \color{blue}{32}\right)\right) \]

      7. associate-+r+ N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \left(d2 + \color{blue}{\left(\left(d3 + 5\right) + 32\right)}\right)\right) \]

      8. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \color{blue}{\left(\left(d3 + 5\right) + 32\right)}\right)\right) \]

      9. associate-+l+ N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \left(d3 + \color{blue}{\left(5 + 32\right)}\right)\right)\right) \]

      10. +-lowering-+.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \mathsf{+.f64}\left(d3, \color{blue}{\left(5 + 32\right)}\right)\right)\right) \]

      11. metadata-eval 100.0%

          \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \mathsf{+.f64}\left(d3, 37\right)\right)\right) \]

   3. Simplified 100.0%

      \[\leadsto \color{blue}{d1 \cdot \left(d2 + \left(d3 + 37\right)\right)} \]
   4. Add Preprocessing

   5. Taylor expanded in d2 around 0

      \[\leadsto \color{blue}{d1 \cdot \left(37 + d3\right)} \]
   6. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \color{blue}{\left(37 + d3\right)}\right) \]

      2. +-lowering-+.f64 80.0%

         \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(37, \color{blue}{d3}\right)\right) \]

   7. Simplified 80.0%

      \[\leadsto \color{blue}{d1 \cdot \left(37 + d3\right)} \]
3. Recombined 2 regimes into one program.

4. Final simplification 79.6%

   \[\leadsto \begin{array}{l} \mathbf{if}\;d2 \leq -33500000000000:\\ \;\;\;\;d1 \cdot d2\\ \mathbf{else}:\\ \;\;\;\;d1 \cdot \left(d3 + 37\right)\\ \end{array} \]
5. Add Preprocessing

Alternative 6: 44.8% accurate, 1.6× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;d2 \leq -38:\\ \;\;\;\;d1 \cdot d2\\ \mathbf{else}:\\ \;\;\;\;d1 \cdot 37\\ \end{array} \end{array} \]

FPCore

(FPCore (d1 d2 d3)
 :precision binary64
 (if (<= d2 -38.0) (* d1 d2) (* d1 37.0)))

C

double code(double d1, double d2, double d3) {
	double tmp;
	if (d2 <= -38.0) {
		tmp = d1 * d2;
	} else {
		tmp = d1 * 37.0;
	}
	return tmp;
}

Fortran

real(8) function code(d1, d2, d3)
    real(8), intent (in) :: d1
    real(8), intent (in) :: d2
    real(8), intent (in) :: d3
    real(8) :: tmp
    if (d2 <= (-38.0d0)) then
        tmp = d1 * d2
    else
        tmp = d1 * 37.0d0
    end if
    code = tmp
end function

Java

public static double code(double d1, double d2, double d3) {
	double tmp;
	if (d2 <= -38.0) {
		tmp = d1 * d2;
	} else {
		tmp = d1 * 37.0;
	}
	return tmp;
}

Python

def code(d1, d2, d3):
	tmp = 0
	if d2 <= -38.0:
		tmp = d1 * d2
	else:
		tmp = d1 * 37.0
	return tmp

Julia

function code(d1, d2, d3)
	tmp = 0.0
	if (d2 <= -38.0)
		tmp = Float64(d1 * d2);
	else
		tmp = Float64(d1 * 37.0);
	end
	return tmp
end

MATLAB

function tmp_2 = code(d1, d2, d3)
	tmp = 0.0;
	if (d2 <= -38.0)
		tmp = d1 * d2;
	else
		tmp = d1 * 37.0;
	end
	tmp_2 = tmp;
end

Wolfram

code[d1_, d2_, d3_] := If[LessEqual[d2, -38.0], N[(d1 * d2), $MachinePrecision], N[(d1 * 37.0), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if d2 < -38

   1. Initial program 96.0%

      \[\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right) + d1 \cdot 32 \]
   2. Step-by-step derivation

      1. +-commutative N/A

         \[\leadsto d1 \cdot 32 + \color{blue}{\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right)} \]

      2. *-commutative N/A

         \[\leadsto d1 \cdot 32 + \left(d1 \cdot d2 + d1 \cdot \color{blue}{\left(d3 + 5\right)}\right) \]

      3. distribute-lft-out N/A

         \[\leadsto d1 \cdot 32 + d1 \cdot \color{blue}{\left(d2 + \left(d3 + 5\right)\right)} \]

      4. distribute-lft-out N/A

         \[\leadsto d1 \cdot \color{blue}{\left(32 + \left(d2 + \left(d3 + 5\right)\right)\right)} \]

      5. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \color{blue}{\left(32 + \left(d2 + \left(d3 + 5\right)\right)\right)}\right) \]

      6. +-commutative N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \left(\left(d2 + \left(d3 + 5\right)\right) + \color{blue}{32}\right)\right) \]

      7. associate-+r+ N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \left(d2 + \color{blue}{\left(\left(d3 + 5\right) + 32\right)}\right)\right) \]

      8. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \color{blue}{\left(\left(d3 + 5\right) + 32\right)}\right)\right) \]

      9. associate-+l+ N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \left(d3 + \color{blue}{\left(5 + 32\right)}\right)\right)\right) \]

      10. +-lowering-+.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \mathsf{+.f64}\left(d3, \color{blue}{\left(5 + 32\right)}\right)\right)\right) \]

      11. metadata-eval 100.0%

          \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \mathsf{+.f64}\left(d3, 37\right)\right)\right) \]

   3. Simplified 100.0%

      \[\leadsto \color{blue}{d1 \cdot \left(d2 + \left(d3 + 37\right)\right)} \]
   4. Add Preprocessing

   5. Taylor expanded in d2 around inf

      \[\leadsto \color{blue}{d1 \cdot d2} \]
   6. Step-by-step derivation

      1. *-lowering-*.f64 75.6%

         \[\leadsto \mathsf{*.f64}\left(d1, \color{blue}{d2}\right) \]

   7. Simplified 75.6%

      \[\leadsto \color{blue}{d1 \cdot d2} \]

   if -38 < d2

   1. Initial program 98.8%

      \[\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right) + d1 \cdot 32 \]
   2. Step-by-step derivation

      1. +-commutative N/A

         \[\leadsto d1 \cdot 32 + \color{blue}{\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right)} \]

      2. *-commutative N/A

         \[\leadsto d1 \cdot 32 + \left(d1 \cdot d2 + d1 \cdot \color{blue}{\left(d3 + 5\right)}\right) \]

      3. distribute-lft-out N/A

         \[\leadsto d1 \cdot 32 + d1 \cdot \color{blue}{\left(d2 + \left(d3 + 5\right)\right)} \]

      4. distribute-lft-out N/A

         \[\leadsto d1 \cdot \color{blue}{\left(32 + \left(d2 + \left(d3 + 5\right)\right)\right)} \]

      5. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \color{blue}{\left(32 + \left(d2 + \left(d3 + 5\right)\right)\right)}\right) \]

      6. +-commutative N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \left(\left(d2 + \left(d3 + 5\right)\right) + \color{blue}{32}\right)\right) \]

      7. associate-+r+ N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \left(d2 + \color{blue}{\left(\left(d3 + 5\right) + 32\right)}\right)\right) \]

      8. +-lowering-+.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \color{blue}{\left(\left(d3 + 5\right) + 32\right)}\right)\right) \]

      9. associate-+l+ N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \left(d3 + \color{blue}{\left(5 + 32\right)}\right)\right)\right) \]

      10. +-lowering-+.f64 N/A

          \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \mathsf{+.f64}\left(d3, \color{blue}{\left(5 + 32\right)}\right)\right)\right) \]

      11. metadata-eval 100.0%

          \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \mathsf{+.f64}\left(d3, 37\right)\right)\right) \]

   3. Simplified 100.0%

      \[\leadsto \color{blue}{d1 \cdot \left(d2 + \left(d3 + 37\right)\right)} \]
   4. Add Preprocessing

   5. Taylor expanded in d2 around 0

      \[\leadsto \color{blue}{d1 \cdot \left(37 + d3\right)} \]
   6. Step-by-step derivation

      1. *-lowering-*.f64 N/A

         \[\leadsto \mathsf{*.f64}\left(d1, \color{blue}{\left(37 + d3\right)}\right) \]

      2. +-lowering-+.f64 79.7%

         \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(37, \color{blue}{d3}\right)\right) \]

   7. Simplified 79.7%

      \[\leadsto \color{blue}{d1 \cdot \left(37 + d3\right)} \]

   8. Taylor expanded in d3 around 0

      \[\leadsto \color{blue}{37 \cdot d1} \]
   9. Step-by-step derivation

      1. *-commutative N/A

         \[\leadsto d1 \cdot \color{blue}{37} \]

      2. *-lowering-*.f64 35.5%

         \[\leadsto \mathsf{*.f64}\left(d1, \color{blue}{37}\right) \]

   10. Simplified 35.5%

       \[\leadsto \color{blue}{d1 \cdot 37} \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 7: 25.3% accurate, 4.3× speedup

Math

\[\begin{array}{l} \\ d1 \cdot 37 \end{array} \]

FPCore

(FPCore (d1 d2 d3) :precision binary64 (* d1 37.0))

C

double code(double d1, double d2, double d3) {
	return d1 * 37.0;
}

Fortran

real(8) function code(d1, d2, d3)
    real(8), intent (in) :: d1
    real(8), intent (in) :: d2
    real(8), intent (in) :: d3
    code = d1 * 37.0d0
end function

Java

public static double code(double d1, double d2, double d3) {
	return d1 * 37.0;
}

Python

def code(d1, d2, d3):
	return d1 * 37.0

Julia

function code(d1, d2, d3)
	return Float64(d1 * 37.0)
end

MATLAB

function tmp = code(d1, d2, d3)
	tmp = d1 * 37.0;
end

Wolfram

code[d1_, d2_, d3_] := N[(d1 * 37.0), $MachinePrecision]

Derivation

1. Initial program 98.0%

   \[\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right) + d1 \cdot 32 \]
2. Step-by-step derivation

   1. +-commutative N/A

      \[\leadsto d1 \cdot 32 + \color{blue}{\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right)} \]

   2. *-commutative N/A

      \[\leadsto d1 \cdot 32 + \left(d1 \cdot d2 + d1 \cdot \color{blue}{\left(d3 + 5\right)}\right) \]

   3. distribute-lft-out N/A

      \[\leadsto d1 \cdot 32 + d1 \cdot \color{blue}{\left(d2 + \left(d3 + 5\right)\right)} \]

   4. distribute-lft-out N/A

      \[\leadsto d1 \cdot \color{blue}{\left(32 + \left(d2 + \left(d3 + 5\right)\right)\right)} \]

   5. *-lowering-*.f64 N/A

      \[\leadsto \mathsf{*.f64}\left(d1, \color{blue}{\left(32 + \left(d2 + \left(d3 + 5\right)\right)\right)}\right) \]

   6. +-commutative N/A

      \[\leadsto \mathsf{*.f64}\left(d1, \left(\left(d2 + \left(d3 + 5\right)\right) + \color{blue}{32}\right)\right) \]

   7. associate-+r+ N/A

      \[\leadsto \mathsf{*.f64}\left(d1, \left(d2 + \color{blue}{\left(\left(d3 + 5\right) + 32\right)}\right)\right) \]

   8. +-lowering-+.f64 N/A

      \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \color{blue}{\left(\left(d3 + 5\right) + 32\right)}\right)\right) \]

   9. associate-+l+ N/A

      \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \left(d3 + \color{blue}{\left(5 + 32\right)}\right)\right)\right) \]

   10. +-lowering-+.f64 N/A

       \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \mathsf{+.f64}\left(d3, \color{blue}{\left(5 + 32\right)}\right)\right)\right) \]

   11. metadata-eval 100.0%

       \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(d2, \mathsf{+.f64}\left(d3, 37\right)\right)\right) \]

3. Simplified 100.0%

   \[\leadsto \color{blue}{d1 \cdot \left(d2 + \left(d3 + 37\right)\right)} \]
4. Add Preprocessing

5. Taylor expanded in d2 around 0

   \[\leadsto \color{blue}{d1 \cdot \left(37 + d3\right)} \]
6. Step-by-step derivation

   1. *-lowering-*.f64 N/A

      \[\leadsto \mathsf{*.f64}\left(d1, \color{blue}{\left(37 + d3\right)}\right) \]

   2. +-lowering-+.f64 65.5%

      \[\leadsto \mathsf{*.f64}\left(d1, \mathsf{+.f64}\left(37, \color{blue}{d3}\right)\right) \]

7. Simplified 65.5%

   \[\leadsto \color{blue}{d1 \cdot \left(37 + d3\right)} \]

8. Taylor expanded in d3 around 0

   \[\leadsto \color{blue}{37 \cdot d1} \]
9. Step-by-step derivation

   1. *-commutative N/A

      \[\leadsto d1 \cdot \color{blue}{37} \]

   2. *-lowering-*.f64 25.6%

      \[\leadsto \mathsf{*.f64}\left(d1, \color{blue}{37}\right) \]

10. Simplified 25.6%

    \[\leadsto \color{blue}{d1 \cdot 37} \]
11. Add Preprocessing

Developer Target 1: 100.0% accurate, 1.9× speedup

Math

\[\begin{array}{l} \\ d1 \cdot \left(\left(37 + d3\right) + d2\right) \end{array} \]

FPCore

(FPCore (d1 d2 d3) :precision binary64 (* d1 (+ (+ 37.0 d3) d2)))

C

double code(double d1, double d2, double d3) {
	return d1 * ((37.0 + d3) + d2);
}

Fortran

real(8) function code(d1, d2, d3)
    real(8), intent (in) :: d1
    real(8), intent (in) :: d2
    real(8), intent (in) :: d3
    code = d1 * ((37.0d0 + d3) + d2)
end function

Java

public static double code(double d1, double d2, double d3) {
	return d1 * ((37.0 + d3) + d2);
}

Python

def code(d1, d2, d3):
	return d1 * ((37.0 + d3) + d2)

Julia

function code(d1, d2, d3)
	return Float64(d1 * Float64(Float64(37.0 + d3) + d2))
end

MATLAB

function tmp = code(d1, d2, d3)
	tmp = d1 * ((37.0 + d3) + d2);
end

Wolfram

code[d1_, d2_, d3_] := N[(d1 * N[(N[(37.0 + d3), $MachinePrecision] + d2), $MachinePrecision]), $MachinePrecision]

Reproduce

herbie shell --seed 2024161 
(FPCore (d1 d2 d3)
  :name "FastMath dist3"
  :precision binary64

  :alt
  (! :herbie-platform default (* d1 (+ 37 d3 d2)))

  (+ (+ (* d1 d2) (* (+ d3 5.0) d1)) (* d1 32.0)))