FastMath dist3

Percentage Accurate: 97.8% → 100.0%

Time: 3.5s

Alternatives: 7

Speedup: 2.1×

• 20.3% 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

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(d1, d2, d3)
use fmin_fmax_functions
    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: 97.8% 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

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(d1, d2, d3)
use fmin_fmax_functions
    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, 2.1× speedup

Math

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

FPCore

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

C

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

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

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

Java

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

Python

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

Julia

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

MATLAB

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

Wolfram

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

Derivation

1. Initial program 98.8%

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

   1. lift-+.f64 N/A

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

   2. lift-+.f64 N/A

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

   3. lift-*.f64 N/A

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

   4. lift-+.f64 N/A

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

   5. lift-*.f64 N/A

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

   6. associate-+l+ N/A

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

   7. +-commutative N/A

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

   8. *-commutative N/A

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

   9. lift-*.f64 N/A

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

   10. *-commutative N/A

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

   11. +-commutative N/A

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

   12. +-commutative N/A

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

   13. distribute-rgt-in N/A

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

   14. *-commutative N/A

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

   15. associate-+r+ N/A

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

   16. +-commutative N/A

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

   17. associate-+r+ N/A

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

   18. +-commutative N/A

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

   19. distribute-lft-out N/A

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

4. Applied rewrites 100.0%

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

Alternative 2: 51.1% accurate, 1.0× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;d2 \leq -4.2 \cdot 10^{+22}:\\ \;\;\;\;d2 \cdot d1\\ \mathbf{elif}\;d2 \leq -8 \cdot 10^{-28} \lor \neg \left(d2 \leq 9 \cdot 10^{-277}\right):\\ \;\;\;\;d3 \cdot d1\\ \mathbf{else}:\\ \;\;\;\;d1 \cdot 37\\ \end{array} \end{array} \]

FPCore

(FPCore (d1 d2 d3)
 :precision binary64
 (if (<= d2 -4.2e+22)
   (* d2 d1)
   (if (or (<= d2 -8e-28) (not (<= d2 9e-277))) (* d3 d1) (* d1 37.0))))

C

double code(double d1, double d2, double d3) {
	double tmp;
	if (d2 <= -4.2e+22) {
		tmp = d2 * d1;
	} else if ((d2 <= -8e-28) || !(d2 <= 9e-277)) {
		tmp = d3 * d1;
	} else {
		tmp = d1 * 37.0;
	}
	return tmp;
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(d1, d2, d3)
use fmin_fmax_functions
    real(8), intent (in) :: d1
    real(8), intent (in) :: d2
    real(8), intent (in) :: d3
    real(8) :: tmp
    if (d2 <= (-4.2d+22)) then
        tmp = d2 * d1
    else if ((d2 <= (-8d-28)) .or. (.not. (d2 <= 9d-277))) then
        tmp = d3 * d1
    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 <= -4.2e+22) {
		tmp = d2 * d1;
	} else if ((d2 <= -8e-28) || !(d2 <= 9e-277)) {
		tmp = d3 * d1;
	} else {
		tmp = d1 * 37.0;
	}
	return tmp;
}

Python

def code(d1, d2, d3):
	tmp = 0
	if d2 <= -4.2e+22:
		tmp = d2 * d1
	elif (d2 <= -8e-28) or not (d2 <= 9e-277):
		tmp = d3 * d1
	else:
		tmp = d1 * 37.0
	return tmp

Julia

function code(d1, d2, d3)
	tmp = 0.0
	if (d2 <= -4.2e+22)
		tmp = Float64(d2 * d1);
	elseif ((d2 <= -8e-28) || !(d2 <= 9e-277))
		tmp = Float64(d3 * d1);
	else
		tmp = Float64(d1 * 37.0);
	end
	return tmp
end

MATLAB

function tmp_2 = code(d1, d2, d3)
	tmp = 0.0;
	if (d2 <= -4.2e+22)
		tmp = d2 * d1;
	elseif ((d2 <= -8e-28) || ~((d2 <= 9e-277)))
		tmp = d3 * d1;
	else
		tmp = d1 * 37.0;
	end
	tmp_2 = tmp;
end

Wolfram

code[d1_, d2_, d3_] := If[LessEqual[d2, -4.2e+22], N[(d2 * d1), $MachinePrecision], If[Or[LessEqual[d2, -8e-28], N[Not[LessEqual[d2, 9e-277]], $MachinePrecision]], N[(d3 * d1), $MachinePrecision], N[(d1 * 37.0), $MachinePrecision]]]

Derivation

1. Split input into 3 regimes

2. if d2 < -4.1999999999999996e22

   1. Initial program 100.0%

      \[\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right) + d1 \cdot 32 \]
   2. Add Preprocessing

   3. Taylor expanded in d2 around inf

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

      1. *-commutative N/A

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

      2. lower-*.f64 78.6

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

   5. Applied rewrites 78.6%

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

   if -4.1999999999999996e22 < d2 < -7.99999999999999977e-28 or 8.99999999999999985e-277 < d2

   1. Initial program 97.8%

      \[\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right) + d1 \cdot 32 \]
   2. Add Preprocessing

   3. Taylor expanded in d3 around inf

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

      1. *-commutative N/A

         \[\leadsto d3 \cdot \color{blue}{d1} \]

      2. lower-*.f64 41.2

         \[\leadsto d3 \cdot \color{blue}{d1} \]

   5. Applied rewrites 41.2%

      \[\leadsto \color{blue}{d3 \cdot d1} \]

   if -7.99999999999999977e-28 < d2 < 8.99999999999999985e-277

   1. Initial program 99.9%

      \[\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right) + d1 \cdot 32 \]
   2. Add Preprocessing

   3. Taylor expanded in d3 around 0

      \[\leadsto \color{blue}{5 \cdot d1 + \left(32 \cdot d1 + d1 \cdot d2\right)} \]
   4. Step-by-step derivation

      1. associate-+r+ N/A

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

      2. distribute-rgt-out N/A

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

      3. metadata-eval N/A

         \[\leadsto d1 \cdot 37 + d1 \cdot d2 \]

      4. *-commutative N/A

         \[\leadsto 37 \cdot d1 + \color{blue}{d1} \cdot d2 \]

      5. lower-fma.f64 N/A

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

      6. *-commutative N/A

         \[\leadsto \mathsf{fma}\left(37, d1, d2 \cdot d1\right) \]

      7. lower-*.f64 64.7

         \[\leadsto \mathsf{fma}\left(37, d1, d2 \cdot d1\right) \]

   5. Applied rewrites 64.7%

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

   6. Taylor expanded in d2 around 0

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

      1. *-commutative N/A

         \[\leadsto d1 \cdot 37 \]

      2. lower-*.f64 64.7

         \[\leadsto d1 \cdot 37 \]

   8. Applied rewrites 64.7%

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

4. Final simplification 54.5%

   \[\leadsto \begin{array}{l} \mathbf{if}\;d2 \leq -4.2 \cdot 10^{+22}:\\ \;\;\;\;d2 \cdot d1\\ \mathbf{elif}\;d2 \leq -8 \cdot 10^{-28} \lor \neg \left(d2 \leq 9 \cdot 10^{-277}\right):\\ \;\;\;\;d3 \cdot d1\\ \mathbf{else}:\\ \;\;\;\;d1 \cdot 37\\ \end{array} \]
5. Add Preprocessing

Alternative 3: 74.5% accurate, 1.2× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;d2 \leq -1.3 \cdot 10^{-25} \lor \neg \left(d2 \leq 9 \cdot 10^{-277}\right):\\ \;\;\;\;d1 \cdot \left(d3 + d2\right)\\ \mathbf{else}:\\ \;\;\;\;d1 \cdot 37\\ \end{array} \end{array} \]

FPCore

(FPCore (d1 d2 d3)
 :precision binary64
 (if (or (<= d2 -1.3e-25) (not (<= d2 9e-277))) (* d1 (+ d3 d2)) (* d1 37.0)))

C

double code(double d1, double d2, double d3) {
	double tmp;
	if ((d2 <= -1.3e-25) || !(d2 <= 9e-277)) {
		tmp = d1 * (d3 + d2);
	} else {
		tmp = d1 * 37.0;
	}
	return tmp;
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(d1, d2, d3)
use fmin_fmax_functions
    real(8), intent (in) :: d1
    real(8), intent (in) :: d2
    real(8), intent (in) :: d3
    real(8) :: tmp
    if ((d2 <= (-1.3d-25)) .or. (.not. (d2 <= 9d-277))) then
        tmp = d1 * (d3 + 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 <= -1.3e-25) || !(d2 <= 9e-277)) {
		tmp = d1 * (d3 + d2);
	} else {
		tmp = d1 * 37.0;
	}
	return tmp;
}

Python

def code(d1, d2, d3):
	tmp = 0
	if (d2 <= -1.3e-25) or not (d2 <= 9e-277):
		tmp = d1 * (d3 + d2)
	else:
		tmp = d1 * 37.0
	return tmp

Julia

function code(d1, d2, d3)
	tmp = 0.0
	if ((d2 <= -1.3e-25) || !(d2 <= 9e-277))
		tmp = Float64(d1 * Float64(d3 + d2));
	else
		tmp = Float64(d1 * 37.0);
	end
	return tmp
end

MATLAB

function tmp_2 = code(d1, d2, d3)
	tmp = 0.0;
	if ((d2 <= -1.3e-25) || ~((d2 <= 9e-277)))
		tmp = d1 * (d3 + d2);
	else
		tmp = d1 * 37.0;
	end
	tmp_2 = tmp;
end

Wolfram

code[d1_, d2_, d3_] := If[Or[LessEqual[d2, -1.3e-25], N[Not[LessEqual[d2, 9e-277]], $MachinePrecision]], N[(d1 * N[(d3 + d2), $MachinePrecision]), $MachinePrecision], N[(d1 * 37.0), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if d2 < -1.3e-25 or 8.99999999999999985e-277 < d2

   1. Initial program 98.4%

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

      1. lift-+.f64 N/A

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

      2. lift-+.f64 N/A

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

      3. lift-*.f64 N/A

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

      4. lift-+.f64 N/A

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

      5. lift-*.f64 N/A

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

      6. +-commutative N/A

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

      7. +-commutative N/A

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

      8. *-commutative N/A

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

      9. lift-*.f64 N/A

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

      10. *-commutative N/A

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

      11. associate-+l+ N/A

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

      12. +-commutative N/A

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

      13. *-commutative N/A

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

      14. lower-fma.f64 N/A

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

      15. +-commutative N/A

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

      16. metadata-eval N/A

          \[\leadsto \mathsf{fma}\left(d3 + \color{blue}{5 \cdot 1}, d1, 32 \cdot d1 + d1 \cdot d2\right) \]

      17. fp-cancel-sign-sub-inv N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{d3 - \left(\mathsf{neg}\left(5\right)\right) \cdot 1}, d1, 32 \cdot d1 + d1 \cdot d2\right) \]

      18. metadata-eval N/A

          \[\leadsto \mathsf{fma}\left(d3 - \color{blue}{-5} \cdot 1, d1, 32 \cdot d1 + d1 \cdot d2\right) \]

      19. metadata-eval N/A

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

      20. lower--.f64 N/A

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

      21. *-commutative N/A

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

      22. distribute-lft-out N/A

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

      23. lower-*.f64 N/A

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

      24. lower-+.f64 98.9

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

   4. Applied rewrites 98.9%

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

   5. Taylor expanded in d2 around inf

      \[\leadsto \mathsf{fma}\left(d3 - -5, d1, d1 \cdot \color{blue}{d2}\right) \]
   6. Step-by-step derivation

   7. Applied rewrites 87.0%

      \[\leadsto \mathsf{fma}\left(d3 - -5, d1, d1 \cdot \color{blue}{d2}\right) \]

   8. Taylor expanded in d3 around inf

      \[\leadsto \mathsf{fma}\left(\color{blue}{d3}, d1, d1 \cdot d2\right) \]
   9. Step-by-step derivation

   10. Applied rewrites 85.4%

       \[\leadsto \mathsf{fma}\left(\color{blue}{d3}, d1, d1 \cdot d2\right) \]
   11. Step-by-step derivation

       1. lift-fma.f64 N/A

          \[\leadsto \color{blue}{d3 \cdot d1 + d1 \cdot d2} \]

       2. *-commutative N/A

          \[\leadsto \color{blue}{d1 \cdot d3} + d1 \cdot d2 \]

       3. lift-*.f64 N/A

          \[\leadsto d1 \cdot d3 + \color{blue}{d1 \cdot d2} \]

       4. distribute-lft-out N/A

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

       5. lower-*.f64 N/A

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

       6. lower-+.f64 86.5

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

   12. Applied rewrites 86.5%

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

   if -1.3e-25 < d2 < 8.99999999999999985e-277

   1. Initial program 99.9%

      \[\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right) + d1 \cdot 32 \]
   2. Add Preprocessing

   3. Taylor expanded in d3 around 0

      \[\leadsto \color{blue}{5 \cdot d1 + \left(32 \cdot d1 + d1 \cdot d2\right)} \]
   4. Step-by-step derivation

      1. associate-+r+ N/A

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

      2. distribute-rgt-out N/A

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

      3. metadata-eval N/A

         \[\leadsto d1 \cdot 37 + d1 \cdot d2 \]

      4. *-commutative N/A

         \[\leadsto 37 \cdot d1 + \color{blue}{d1} \cdot d2 \]

      5. lower-fma.f64 N/A

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

      6. *-commutative N/A

         \[\leadsto \mathsf{fma}\left(37, d1, d2 \cdot d1\right) \]

      7. lower-*.f64 64.7

         \[\leadsto \mathsf{fma}\left(37, d1, d2 \cdot d1\right) \]

   5. Applied rewrites 64.7%

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

   6. Taylor expanded in d2 around 0

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

      1. *-commutative N/A

         \[\leadsto d1 \cdot 37 \]

      2. lower-*.f64 64.7

         \[\leadsto d1 \cdot 37 \]

   8. Applied rewrites 64.7%

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

4. Final simplification 81.0%

   \[\leadsto \begin{array}{l} \mathbf{if}\;d2 \leq -1.3 \cdot 10^{-25} \lor \neg \left(d2 \leq 9 \cdot 10^{-277}\right):\\ \;\;\;\;d1 \cdot \left(d3 + d2\right)\\ \mathbf{else}:\\ \;\;\;\;d1 \cdot 37\\ \end{array} \]
5. Add Preprocessing

Alternative 4: 81.5% accurate, 1.4× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;d3 \leq 5.4 \cdot 10^{-9}:\\ \;\;\;\;\mathsf{fma}\left(37, d1, d2 \cdot d1\right)\\ \mathbf{else}:\\ \;\;\;\;d1 \cdot \left(d3 + d2\right)\\ \end{array} \end{array} \]

FPCore

(FPCore (d1 d2 d3)
 :precision binary64
 (if (<= d3 5.4e-9) (fma 37.0 d1 (* d2 d1)) (* d1 (+ d3 d2))))

C

double code(double d1, double d2, double d3) {
	double tmp;
	if (d3 <= 5.4e-9) {
		tmp = fma(37.0, d1, (d2 * d1));
	} else {
		tmp = d1 * (d3 + d2);
	}
	return tmp;
}

Julia

function code(d1, d2, d3)
	tmp = 0.0
	if (d3 <= 5.4e-9)
		tmp = fma(37.0, d1, Float64(d2 * d1));
	else
		tmp = Float64(d1 * Float64(d3 + d2));
	end
	return tmp
end

Wolfram

code[d1_, d2_, d3_] := If[LessEqual[d3, 5.4e-9], N[(37.0 * d1 + N[(d2 * d1), $MachinePrecision]), $MachinePrecision], N[(d1 * N[(d3 + d2), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if d3 < 5.4000000000000004e-9

   1. Initial program 98.5%

      \[\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right) + d1 \cdot 32 \]
   2. Add Preprocessing

   3. Taylor expanded in d3 around 0

      \[\leadsto \color{blue}{5 \cdot d1 + \left(32 \cdot d1 + d1 \cdot d2\right)} \]
   4. Step-by-step derivation

      1. associate-+r+ N/A

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

      2. distribute-rgt-out N/A

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

      3. metadata-eval N/A

         \[\leadsto d1 \cdot 37 + d1 \cdot d2 \]

      4. *-commutative N/A

         \[\leadsto 37 \cdot d1 + \color{blue}{d1} \cdot d2 \]

      5. lower-fma.f64 N/A

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

      6. *-commutative N/A

         \[\leadsto \mathsf{fma}\left(37, d1, d2 \cdot d1\right) \]

      7. lower-*.f64 75.3

         \[\leadsto \mathsf{fma}\left(37, d1, d2 \cdot d1\right) \]

   5. Applied rewrites 75.3%

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

   if 5.4000000000000004e-9 < d3

   1. Initial program 100.0%

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

      1. lift-+.f64 N/A

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

      2. lift-+.f64 N/A

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

      3. lift-*.f64 N/A

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

      4. lift-+.f64 N/A

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

      5. lift-*.f64 N/A

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

      6. +-commutative N/A

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

      7. +-commutative N/A

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

      8. *-commutative N/A

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

      9. lift-*.f64 N/A

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

      10. *-commutative N/A

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

      11. associate-+l+ N/A

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

      12. +-commutative N/A

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

      13. *-commutative N/A

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

      14. lower-fma.f64 N/A

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

      15. +-commutative N/A

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

      16. metadata-eval N/A

          \[\leadsto \mathsf{fma}\left(d3 + \color{blue}{5 \cdot 1}, d1, 32 \cdot d1 + d1 \cdot d2\right) \]

      17. fp-cancel-sign-sub-inv N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{d3 - \left(\mathsf{neg}\left(5\right)\right) \cdot 1}, d1, 32 \cdot d1 + d1 \cdot d2\right) \]

      18. metadata-eval N/A

          \[\leadsto \mathsf{fma}\left(d3 - \color{blue}{-5} \cdot 1, d1, 32 \cdot d1 + d1 \cdot d2\right) \]

      19. metadata-eval N/A

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

      20. lower--.f64 N/A

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

      21. *-commutative N/A

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

      22. distribute-lft-out N/A

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

      23. lower-*.f64 N/A

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

      24. lower-+.f64 100.0

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

   4. Applied rewrites 100.0%

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

   5. Taylor expanded in d2 around inf

      \[\leadsto \mathsf{fma}\left(d3 - -5, d1, d1 \cdot \color{blue}{d2}\right) \]
   6. Step-by-step derivation

   7. Applied rewrites 99.6%

      \[\leadsto \mathsf{fma}\left(d3 - -5, d1, d1 \cdot \color{blue}{d2}\right) \]

   8. Taylor expanded in d3 around inf

      \[\leadsto \mathsf{fma}\left(\color{blue}{d3}, d1, d1 \cdot d2\right) \]
   9. Step-by-step derivation

   10. Applied rewrites 99.6%

       \[\leadsto \mathsf{fma}\left(\color{blue}{d3}, d1, d1 \cdot d2\right) \]
   11. Step-by-step derivation

       1. lift-fma.f64 N/A

          \[\leadsto \color{blue}{d3 \cdot d1 + d1 \cdot d2} \]

       2. *-commutative N/A

          \[\leadsto \color{blue}{d1 \cdot d3} + d1 \cdot d2 \]

       3. lift-*.f64 N/A

          \[\leadsto d1 \cdot d3 + \color{blue}{d1 \cdot d2} \]

       4. distribute-lft-out N/A

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

       5. lower-*.f64 N/A

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

       6. lower-+.f64 99.6

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

   12. Applied rewrites 99.6%

       \[\leadsto \color{blue}{d1 \cdot \left(d3 + d2\right)} \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 5: 81.5% accurate, 1.7× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;d3 \leq 5.4 \cdot 10^{-9}:\\ \;\;\;\;\left(d2 + 37\right) \cdot d1\\ \mathbf{else}:\\ \;\;\;\;d1 \cdot \left(d3 + d2\right)\\ \end{array} \end{array} \]

FPCore

(FPCore (d1 d2 d3)
 :precision binary64
 (if (<= d3 5.4e-9) (* (+ d2 37.0) d1) (* d1 (+ d3 d2))))

C

double code(double d1, double d2, double d3) {
	double tmp;
	if (d3 <= 5.4e-9) {
		tmp = (d2 + 37.0) * d1;
	} else {
		tmp = d1 * (d3 + d2);
	}
	return tmp;
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(d1, d2, d3)
use fmin_fmax_functions
    real(8), intent (in) :: d1
    real(8), intent (in) :: d2
    real(8), intent (in) :: d3
    real(8) :: tmp
    if (d3 <= 5.4d-9) then
        tmp = (d2 + 37.0d0) * d1
    else
        tmp = d1 * (d3 + d2)
    end if
    code = tmp
end function

Java

public static double code(double d1, double d2, double d3) {
	double tmp;
	if (d3 <= 5.4e-9) {
		tmp = (d2 + 37.0) * d1;
	} else {
		tmp = d1 * (d3 + d2);
	}
	return tmp;
}

Python

def code(d1, d2, d3):
	tmp = 0
	if d3 <= 5.4e-9:
		tmp = (d2 + 37.0) * d1
	else:
		tmp = d1 * (d3 + d2)
	return tmp

Julia

function code(d1, d2, d3)
	tmp = 0.0
	if (d3 <= 5.4e-9)
		tmp = Float64(Float64(d2 + 37.0) * d1);
	else
		tmp = Float64(d1 * Float64(d3 + d2));
	end
	return tmp
end

MATLAB

function tmp_2 = code(d1, d2, d3)
	tmp = 0.0;
	if (d3 <= 5.4e-9)
		tmp = (d2 + 37.0) * d1;
	else
		tmp = d1 * (d3 + d2);
	end
	tmp_2 = tmp;
end

Wolfram

code[d1_, d2_, d3_] := If[LessEqual[d3, 5.4e-9], N[(N[(d2 + 37.0), $MachinePrecision] * d1), $MachinePrecision], N[(d1 * N[(d3 + d2), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if d3 < 5.4000000000000004e-9

   1. Initial program 98.5%

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

      1. lift-+.f64 N/A

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

      2. lift-+.f64 N/A

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

      3. lift-*.f64 N/A

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

      4. lift-+.f64 N/A

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

      5. lift-*.f64 N/A

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

      6. associate-+l+ N/A

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

      7. +-commutative N/A

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

      8. *-commutative N/A

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

      9. lift-*.f64 N/A

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

      10. *-commutative N/A

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

      11. +-commutative N/A

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

      12. +-commutative N/A

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

      13. distribute-rgt-in N/A

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

      14. *-commutative N/A

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

      15. associate-+r+ N/A

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

      16. +-commutative N/A

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

      17. associate-+r+ N/A

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

      18. +-commutative N/A

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

      19. distribute-lft-out N/A

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

   4. Applied rewrites 100.0%

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

   5. Taylor expanded in d2 around inf

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

   7. Applied rewrites 75.3%

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

   if 5.4000000000000004e-9 < d3

   1. Initial program 100.0%

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

      1. lift-+.f64 N/A

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

      2. lift-+.f64 N/A

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

      3. lift-*.f64 N/A

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

      4. lift-+.f64 N/A

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

      5. lift-*.f64 N/A

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

      6. +-commutative N/A

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

      7. +-commutative N/A

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

      8. *-commutative N/A

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

      9. lift-*.f64 N/A

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

      10. *-commutative N/A

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

      11. associate-+l+ N/A

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

      12. +-commutative N/A

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

      13. *-commutative N/A

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

      14. lower-fma.f64 N/A

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

      15. +-commutative N/A

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

      16. metadata-eval N/A

          \[\leadsto \mathsf{fma}\left(d3 + \color{blue}{5 \cdot 1}, d1, 32 \cdot d1 + d1 \cdot d2\right) \]

      17. fp-cancel-sign-sub-inv N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{d3 - \left(\mathsf{neg}\left(5\right)\right) \cdot 1}, d1, 32 \cdot d1 + d1 \cdot d2\right) \]

      18. metadata-eval N/A

          \[\leadsto \mathsf{fma}\left(d3 - \color{blue}{-5} \cdot 1, d1, 32 \cdot d1 + d1 \cdot d2\right) \]

      19. metadata-eval N/A

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

      20. lower--.f64 N/A

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

      21. *-commutative N/A

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

      22. distribute-lft-out N/A

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

      23. lower-*.f64 N/A

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

      24. lower-+.f64 100.0

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

   4. Applied rewrites 100.0%

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

   5. Taylor expanded in d2 around inf

      \[\leadsto \mathsf{fma}\left(d3 - -5, d1, d1 \cdot \color{blue}{d2}\right) \]
   6. Step-by-step derivation

   7. Applied rewrites 99.6%

      \[\leadsto \mathsf{fma}\left(d3 - -5, d1, d1 \cdot \color{blue}{d2}\right) \]

   8. Taylor expanded in d3 around inf

      \[\leadsto \mathsf{fma}\left(\color{blue}{d3}, d1, d1 \cdot d2\right) \]
   9. Step-by-step derivation

   10. Applied rewrites 99.6%

       \[\leadsto \mathsf{fma}\left(\color{blue}{d3}, d1, d1 \cdot d2\right) \]
   11. Step-by-step derivation

       1. lift-fma.f64 N/A

          \[\leadsto \color{blue}{d3 \cdot d1 + d1 \cdot d2} \]

       2. *-commutative N/A

          \[\leadsto \color{blue}{d1 \cdot d3} + d1 \cdot d2 \]

       3. lift-*.f64 N/A

          \[\leadsto d1 \cdot d3 + \color{blue}{d1 \cdot d2} \]

       4. distribute-lft-out N/A

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

       5. lower-*.f64 N/A

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

       6. lower-+.f64 99.6

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

   12. Applied rewrites 99.6%

       \[\leadsto \color{blue}{d1 \cdot \left(d3 + d2\right)} \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 6: 45.0% accurate, 2.1× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;d2 \leq -550000:\\ \;\;\;\;d2 \cdot d1\\ \mathbf{else}:\\ \;\;\;\;d1 \cdot 37\\ \end{array} \end{array} \]

FPCore

(FPCore (d1 d2 d3)
 :precision binary64
 (if (<= d2 -550000.0) (* d2 d1) (* d1 37.0)))

C

double code(double d1, double d2, double d3) {
	double tmp;
	if (d2 <= -550000.0) {
		tmp = d2 * d1;
	} else {
		tmp = d1 * 37.0;
	}
	return tmp;
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(d1, d2, d3)
use fmin_fmax_functions
    real(8), intent (in) :: d1
    real(8), intent (in) :: d2
    real(8), intent (in) :: d3
    real(8) :: tmp
    if (d2 <= (-550000.0d0)) then
        tmp = d2 * d1
    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 <= -550000.0) {
		tmp = d2 * d1;
	} else {
		tmp = d1 * 37.0;
	}
	return tmp;
}

Python

def code(d1, d2, d3):
	tmp = 0
	if d2 <= -550000.0:
		tmp = d2 * d1
	else:
		tmp = d1 * 37.0
	return tmp

Julia

function code(d1, d2, d3)
	tmp = 0.0
	if (d2 <= -550000.0)
		tmp = Float64(d2 * d1);
	else
		tmp = Float64(d1 * 37.0);
	end
	return tmp
end

MATLAB

function tmp_2 = code(d1, d2, d3)
	tmp = 0.0;
	if (d2 <= -550000.0)
		tmp = d2 * d1;
	else
		tmp = d1 * 37.0;
	end
	tmp_2 = tmp;
end

Wolfram

code[d1_, d2_, d3_] := If[LessEqual[d2, -550000.0], N[(d2 * d1), $MachinePrecision], N[(d1 * 37.0), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if d2 < -5.5e5

   1. Initial program 100.0%

      \[\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right) + d1 \cdot 32 \]
   2. Add Preprocessing

   3. Taylor expanded in d2 around inf

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

      1. *-commutative N/A

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

      2. lower-*.f64 78.6

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

   5. Applied rewrites 78.6%

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

   if -5.5e5 < d2

   1. Initial program 98.5%

      \[\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right) + d1 \cdot 32 \]
   2. Add Preprocessing

   3. Taylor expanded in d3 around 0

      \[\leadsto \color{blue}{5 \cdot d1 + \left(32 \cdot d1 + d1 \cdot d2\right)} \]
   4. Step-by-step derivation

      1. associate-+r+ N/A

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

      2. distribute-rgt-out N/A

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

      3. metadata-eval N/A

         \[\leadsto d1 \cdot 37 + d1 \cdot d2 \]

      4. *-commutative N/A

         \[\leadsto 37 \cdot d1 + \color{blue}{d1} \cdot d2 \]

      5. lower-fma.f64 N/A

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

      6. *-commutative N/A

         \[\leadsto \mathsf{fma}\left(37, d1, d2 \cdot d1\right) \]

      7. lower-*.f64 62.3

         \[\leadsto \mathsf{fma}\left(37, d1, d2 \cdot d1\right) \]

   5. Applied rewrites 62.3%

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

   6. Taylor expanded in d2 around 0

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

      1. *-commutative N/A

         \[\leadsto d1 \cdot 37 \]

      2. lower-*.f64 35.0

         \[\leadsto d1 \cdot 37 \]

   8. Applied rewrites 35.0%

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

Alternative 7: 26.7% accurate, 4.2× 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

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(d1, d2, d3)
use fmin_fmax_functions
    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 98.8%

   \[\left(d1 \cdot d2 + \left(d3 + 5\right) \cdot d1\right) + d1 \cdot 32 \]
2. Add Preprocessing

3. Taylor expanded in d3 around 0

   \[\leadsto \color{blue}{5 \cdot d1 + \left(32 \cdot d1 + d1 \cdot d2\right)} \]
4. Step-by-step derivation

   1. associate-+r+ N/A

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

   2. distribute-rgt-out N/A

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

   3. metadata-eval N/A

      \[\leadsto d1 \cdot 37 + d1 \cdot d2 \]

   4. *-commutative N/A

      \[\leadsto 37 \cdot d1 + \color{blue}{d1} \cdot d2 \]

   5. lower-fma.f64 N/A

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

   6. *-commutative N/A

      \[\leadsto \mathsf{fma}\left(37, d1, d2 \cdot d1\right) \]

   7. lower-*.f64 65.5

      \[\leadsto \mathsf{fma}\left(37, d1, d2 \cdot d1\right) \]

5. Applied rewrites 65.5%

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

6. Taylor expanded in d2 around 0

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

   1. *-commutative N/A

      \[\leadsto d1 \cdot 37 \]

   2. lower-*.f64 28.5

      \[\leadsto d1 \cdot 37 \]

8. Applied rewrites 28.5%

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

Developer Target 1: 100.0% accurate, 2.1× 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

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(d1, d2, d3)
use fmin_fmax_functions
    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 2025051 
(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)))