
(FPCore (alpha beta i)
:precision binary64
(let* ((t_0 (* i (+ (+ alpha beta) i)))
(t_1 (+ (+ alpha beta) (* 2.0 i)))
(t_2 (* t_1 t_1)))
(/ (/ (* t_0 (+ (* beta alpha) t_0)) t_2) (- t_2 1.0))))
double code(double alpha, double beta, double i) {
double t_0 = i * ((alpha + beta) + i);
double t_1 = (alpha + beta) + (2.0 * i);
double t_2 = t_1 * t_1;
return ((t_0 * ((beta * alpha) + t_0)) / t_2) / (t_2 - 1.0);
}
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(alpha, beta, i)
use fmin_fmax_functions
real(8), intent (in) :: alpha
real(8), intent (in) :: beta
real(8), intent (in) :: i
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
t_0 = i * ((alpha + beta) + i)
t_1 = (alpha + beta) + (2.0d0 * i)
t_2 = t_1 * t_1
code = ((t_0 * ((beta * alpha) + t_0)) / t_2) / (t_2 - 1.0d0)
end function
public static double code(double alpha, double beta, double i) {
double t_0 = i * ((alpha + beta) + i);
double t_1 = (alpha + beta) + (2.0 * i);
double t_2 = t_1 * t_1;
return ((t_0 * ((beta * alpha) + t_0)) / t_2) / (t_2 - 1.0);
}
def code(alpha, beta, i): t_0 = i * ((alpha + beta) + i) t_1 = (alpha + beta) + (2.0 * i) t_2 = t_1 * t_1 return ((t_0 * ((beta * alpha) + t_0)) / t_2) / (t_2 - 1.0)
function code(alpha, beta, i) t_0 = Float64(i * Float64(Float64(alpha + beta) + i)) t_1 = Float64(Float64(alpha + beta) + Float64(2.0 * i)) t_2 = Float64(t_1 * t_1) return Float64(Float64(Float64(t_0 * Float64(Float64(beta * alpha) + t_0)) / t_2) / Float64(t_2 - 1.0)) end
function tmp = code(alpha, beta, i) t_0 = i * ((alpha + beta) + i); t_1 = (alpha + beta) + (2.0 * i); t_2 = t_1 * t_1; tmp = ((t_0 * ((beta * alpha) + t_0)) / t_2) / (t_2 - 1.0); end
code[alpha_, beta_, i_] := Block[{t$95$0 = N[(i * N[(N[(alpha + beta), $MachinePrecision] + i), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(alpha + beta), $MachinePrecision] + N[(2.0 * i), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 * t$95$1), $MachinePrecision]}, N[(N[(N[(t$95$0 * N[(N[(beta * alpha), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision] / N[(t$95$2 - 1.0), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := i \cdot \left(\left(\alpha + \beta\right) + i\right)\\
t_1 := \left(\alpha + \beta\right) + 2 \cdot i\\
t_2 := t\_1 \cdot t\_1\\
\frac{\frac{t\_0 \cdot \left(\beta \cdot \alpha + t\_0\right)}{t\_2}}{t\_2 - 1}
\end{array}
\end{array}
Herbie found 9 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (alpha beta i)
:precision binary64
(let* ((t_0 (* i (+ (+ alpha beta) i)))
(t_1 (+ (+ alpha beta) (* 2.0 i)))
(t_2 (* t_1 t_1)))
(/ (/ (* t_0 (+ (* beta alpha) t_0)) t_2) (- t_2 1.0))))
double code(double alpha, double beta, double i) {
double t_0 = i * ((alpha + beta) + i);
double t_1 = (alpha + beta) + (2.0 * i);
double t_2 = t_1 * t_1;
return ((t_0 * ((beta * alpha) + t_0)) / t_2) / (t_2 - 1.0);
}
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(alpha, beta, i)
use fmin_fmax_functions
real(8), intent (in) :: alpha
real(8), intent (in) :: beta
real(8), intent (in) :: i
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
t_0 = i * ((alpha + beta) + i)
t_1 = (alpha + beta) + (2.0d0 * i)
t_2 = t_1 * t_1
code = ((t_0 * ((beta * alpha) + t_0)) / t_2) / (t_2 - 1.0d0)
end function
public static double code(double alpha, double beta, double i) {
double t_0 = i * ((alpha + beta) + i);
double t_1 = (alpha + beta) + (2.0 * i);
double t_2 = t_1 * t_1;
return ((t_0 * ((beta * alpha) + t_0)) / t_2) / (t_2 - 1.0);
}
def code(alpha, beta, i): t_0 = i * ((alpha + beta) + i) t_1 = (alpha + beta) + (2.0 * i) t_2 = t_1 * t_1 return ((t_0 * ((beta * alpha) + t_0)) / t_2) / (t_2 - 1.0)
function code(alpha, beta, i) t_0 = Float64(i * Float64(Float64(alpha + beta) + i)) t_1 = Float64(Float64(alpha + beta) + Float64(2.0 * i)) t_2 = Float64(t_1 * t_1) return Float64(Float64(Float64(t_0 * Float64(Float64(beta * alpha) + t_0)) / t_2) / Float64(t_2 - 1.0)) end
function tmp = code(alpha, beta, i) t_0 = i * ((alpha + beta) + i); t_1 = (alpha + beta) + (2.0 * i); t_2 = t_1 * t_1; tmp = ((t_0 * ((beta * alpha) + t_0)) / t_2) / (t_2 - 1.0); end
code[alpha_, beta_, i_] := Block[{t$95$0 = N[(i * N[(N[(alpha + beta), $MachinePrecision] + i), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(alpha + beta), $MachinePrecision] + N[(2.0 * i), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 * t$95$1), $MachinePrecision]}, N[(N[(N[(t$95$0 * N[(N[(beta * alpha), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision] / N[(t$95$2 - 1.0), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := i \cdot \left(\left(\alpha + \beta\right) + i\right)\\
t_1 := \left(\alpha + \beta\right) + 2 \cdot i\\
t_2 := t\_1 \cdot t\_1\\
\frac{\frac{t\_0 \cdot \left(\beta \cdot \alpha + t\_0\right)}{t\_2}}{t\_2 - 1}
\end{array}
\end{array}
(FPCore (alpha beta i)
:precision binary64
(let* ((t_0 (fma 2.0 i (+ alpha beta))) (t_1 (+ (+ alpha beta) i)))
(*
(/
(* (+ (+ beta alpha) i) (/ i (+ t_1 i)))
(- (fma 2.0 i (+ beta alpha)) -1.0))
(/
(fma beta (/ alpha t_0) (* (/ i t_0) (+ i (+ alpha beta))))
(+ t_1 (- i 1.0))))))
double code(double alpha, double beta, double i) {
double t_0 = fma(2.0, i, (alpha + beta));
double t_1 = (alpha + beta) + i;
return ((((beta + alpha) + i) * (i / (t_1 + i))) / (fma(2.0, i, (beta + alpha)) - -1.0)) * (fma(beta, (alpha / t_0), ((i / t_0) * (i + (alpha + beta)))) / (t_1 + (i - 1.0)));
}
function code(alpha, beta, i) t_0 = fma(2.0, i, Float64(alpha + beta)) t_1 = Float64(Float64(alpha + beta) + i) return Float64(Float64(Float64(Float64(Float64(beta + alpha) + i) * Float64(i / Float64(t_1 + i))) / Float64(fma(2.0, i, Float64(beta + alpha)) - -1.0)) * Float64(fma(beta, Float64(alpha / t_0), Float64(Float64(i / t_0) * Float64(i + Float64(alpha + beta)))) / Float64(t_1 + Float64(i - 1.0)))) end
code[alpha_, beta_, i_] := Block[{t$95$0 = N[(2.0 * i + N[(alpha + beta), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(alpha + beta), $MachinePrecision] + i), $MachinePrecision]}, N[(N[(N[(N[(N[(beta + alpha), $MachinePrecision] + i), $MachinePrecision] * N[(i / N[(t$95$1 + i), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(2.0 * i + N[(beta + alpha), $MachinePrecision]), $MachinePrecision] - -1.0), $MachinePrecision]), $MachinePrecision] * N[(N[(beta * N[(alpha / t$95$0), $MachinePrecision] + N[(N[(i / t$95$0), $MachinePrecision] * N[(i + N[(alpha + beta), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(t$95$1 + N[(i - 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(2, i, \alpha + \beta\right)\\
t_1 := \left(\alpha + \beta\right) + i\\
\frac{\left(\left(\beta + \alpha\right) + i\right) \cdot \frac{i}{t\_1 + i}}{\mathsf{fma}\left(2, i, \beta + \alpha\right) - -1} \cdot \frac{\mathsf{fma}\left(\beta, \frac{\alpha}{t\_0}, \frac{i}{t\_0} \cdot \left(i + \left(\alpha + \beta\right)\right)\right)}{t\_1 + \left(i - 1\right)}
\end{array}
\end{array}
Initial program 16.7%
lift-/.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
times-fracN/A
lift--.f64N/A
lift-*.f64N/A
difference-of-sqr-1N/A
Applied rewrites43.2%
lift-/.f64N/A
lift-fma.f64N/A
div-addN/A
associate-*r/N/A
lift-/.f64N/A
lift-*.f64N/A
+-commutativeN/A
lift-*.f64N/A
associate-/l*N/A
lower-fma.f64N/A
lower-/.f6499.7
lift-+.f64N/A
+-commutativeN/A
lift-+.f6499.7
lift-*.f64N/A
*-commutativeN/A
lower-*.f6499.7
Applied rewrites99.7%
lift-fma.f64N/A
lift-*.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
count-2-revN/A
associate-+r+N/A
+-commutativeN/A
lift-+.f64N/A
lower-+.f6499.7
lift-+.f64N/A
+-commutativeN/A
lift-+.f6499.7
Applied rewrites99.7%
lift--.f64N/A
lift-fma.f64N/A
+-commutativeN/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
count-2-revN/A
associate-+l+N/A
lift-+.f64N/A
associate--l+N/A
lower-+.f64N/A
lower--.f6499.7
Applied rewrites99.7%
(FPCore (alpha beta i)
:precision binary64
(let* ((t_0 (fma 2.0 i (+ beta alpha))))
(*
(/ (* (+ (+ beta alpha) i) (/ i (+ (+ (+ alpha beta) i) i))) (- t_0 -1.0))
(/
(fma
beta
(/ alpha beta)
(* (/ i (fma 2.0 i (+ alpha beta))) (+ i (+ alpha beta))))
(- t_0 1.0)))))
double code(double alpha, double beta, double i) {
double t_0 = fma(2.0, i, (beta + alpha));
return ((((beta + alpha) + i) * (i / (((alpha + beta) + i) + i))) / (t_0 - -1.0)) * (fma(beta, (alpha / beta), ((i / fma(2.0, i, (alpha + beta))) * (i + (alpha + beta)))) / (t_0 - 1.0));
}
function code(alpha, beta, i) t_0 = fma(2.0, i, Float64(beta + alpha)) return Float64(Float64(Float64(Float64(Float64(beta + alpha) + i) * Float64(i / Float64(Float64(Float64(alpha + beta) + i) + i))) / Float64(t_0 - -1.0)) * Float64(fma(beta, Float64(alpha / beta), Float64(Float64(i / fma(2.0, i, Float64(alpha + beta))) * Float64(i + Float64(alpha + beta)))) / Float64(t_0 - 1.0))) end
code[alpha_, beta_, i_] := Block[{t$95$0 = N[(2.0 * i + N[(beta + alpha), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(N[(N[(beta + alpha), $MachinePrecision] + i), $MachinePrecision] * N[(i / N[(N[(N[(alpha + beta), $MachinePrecision] + i), $MachinePrecision] + i), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(t$95$0 - -1.0), $MachinePrecision]), $MachinePrecision] * N[(N[(beta * N[(alpha / beta), $MachinePrecision] + N[(N[(i / N[(2.0 * i + N[(alpha + beta), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(i + N[(alpha + beta), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(t$95$0 - 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(2, i, \beta + \alpha\right)\\
\frac{\left(\left(\beta + \alpha\right) + i\right) \cdot \frac{i}{\left(\left(\alpha + \beta\right) + i\right) + i}}{t\_0 - -1} \cdot \frac{\mathsf{fma}\left(\beta, \frac{\alpha}{\beta}, \frac{i}{\mathsf{fma}\left(2, i, \alpha + \beta\right)} \cdot \left(i + \left(\alpha + \beta\right)\right)\right)}{t\_0 - 1}
\end{array}
\end{array}
Initial program 16.7%
lift-/.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
times-fracN/A
lift--.f64N/A
lift-*.f64N/A
difference-of-sqr-1N/A
Applied rewrites43.2%
lift-/.f64N/A
lift-fma.f64N/A
div-addN/A
associate-*r/N/A
lift-/.f64N/A
lift-*.f64N/A
+-commutativeN/A
lift-*.f64N/A
associate-/l*N/A
lower-fma.f64N/A
lower-/.f6499.7
lift-+.f64N/A
+-commutativeN/A
lift-+.f6499.7
lift-*.f64N/A
*-commutativeN/A
lower-*.f6499.7
Applied rewrites99.7%
lift-fma.f64N/A
lift-*.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
count-2-revN/A
associate-+r+N/A
+-commutativeN/A
lift-+.f64N/A
lower-+.f6499.7
lift-+.f64N/A
+-commutativeN/A
lift-+.f6499.7
Applied rewrites99.7%
Taylor expanded in beta around inf
Applied rewrites81.4%
(FPCore (alpha beta i)
:precision binary64
(let* ((t_0 (/ i (fma 2.0 i (+ alpha beta)))))
(*
(* t_0 (/ (+ (+ alpha beta) i) (fma 2.0 i (- (+ alpha beta) -1.0))))
(/
(fma beta (/ alpha beta) (* t_0 (+ i (+ alpha beta))))
(- (fma 2.0 i (+ beta alpha)) 1.0)))))
double code(double alpha, double beta, double i) {
double t_0 = i / fma(2.0, i, (alpha + beta));
return (t_0 * (((alpha + beta) + i) / fma(2.0, i, ((alpha + beta) - -1.0)))) * (fma(beta, (alpha / beta), (t_0 * (i + (alpha + beta)))) / (fma(2.0, i, (beta + alpha)) - 1.0));
}
function code(alpha, beta, i) t_0 = Float64(i / fma(2.0, i, Float64(alpha + beta))) return Float64(Float64(t_0 * Float64(Float64(Float64(alpha + beta) + i) / fma(2.0, i, Float64(Float64(alpha + beta) - -1.0)))) * Float64(fma(beta, Float64(alpha / beta), Float64(t_0 * Float64(i + Float64(alpha + beta)))) / Float64(fma(2.0, i, Float64(beta + alpha)) - 1.0))) end
code[alpha_, beta_, i_] := Block[{t$95$0 = N[(i / N[(2.0 * i + N[(alpha + beta), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(t$95$0 * N[(N[(N[(alpha + beta), $MachinePrecision] + i), $MachinePrecision] / N[(2.0 * i + N[(N[(alpha + beta), $MachinePrecision] - -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(beta * N[(alpha / beta), $MachinePrecision] + N[(t$95$0 * N[(i + N[(alpha + beta), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(2.0 * i + N[(beta + alpha), $MachinePrecision]), $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{i}{\mathsf{fma}\left(2, i, \alpha + \beta\right)}\\
\left(t\_0 \cdot \frac{\left(\alpha + \beta\right) + i}{\mathsf{fma}\left(2, i, \left(\alpha + \beta\right) - -1\right)}\right) \cdot \frac{\mathsf{fma}\left(\beta, \frac{\alpha}{\beta}, t\_0 \cdot \left(i + \left(\alpha + \beta\right)\right)\right)}{\mathsf{fma}\left(2, i, \beta + \alpha\right) - 1}
\end{array}
\end{array}
Initial program 16.7%
lift-/.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
times-fracN/A
lift--.f64N/A
lift-*.f64N/A
difference-of-sqr-1N/A
Applied rewrites43.2%
lift-/.f64N/A
lift-fma.f64N/A
div-addN/A
associate-*r/N/A
lift-/.f64N/A
lift-*.f64N/A
+-commutativeN/A
lift-*.f64N/A
associate-/l*N/A
lower-fma.f64N/A
lower-/.f6499.7
lift-+.f64N/A
+-commutativeN/A
lift-+.f6499.7
lift-*.f64N/A
*-commutativeN/A
lower-*.f6499.7
Applied rewrites99.7%
lift-/.f64N/A
lift-*.f64N/A
lift-/.f64N/A
associate-*r/N/A
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
*-commutativeN/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
associate-*l/N/A
lift-/.f64N/A
associate-/l*N/A
Applied rewrites99.7%
Taylor expanded in beta around inf
Applied rewrites81.4%
(FPCore (alpha beta i)
:precision binary64
(let* ((t_0 (fma 2.0 i (+ alpha beta))) (t_1 (fma 2.0 i (+ beta alpha))))
(if (<= beta 1.65e+113)
0.0625
(*
(/ i (- t_1 -1.0))
(/
(fma beta (/ alpha t_0) (* (/ i t_0) (+ i (+ alpha beta))))
(- t_1 1.0))))))
double code(double alpha, double beta, double i) {
double t_0 = fma(2.0, i, (alpha + beta));
double t_1 = fma(2.0, i, (beta + alpha));
double tmp;
if (beta <= 1.65e+113) {
tmp = 0.0625;
} else {
tmp = (i / (t_1 - -1.0)) * (fma(beta, (alpha / t_0), ((i / t_0) * (i + (alpha + beta)))) / (t_1 - 1.0));
}
return tmp;
}
function code(alpha, beta, i) t_0 = fma(2.0, i, Float64(alpha + beta)) t_1 = fma(2.0, i, Float64(beta + alpha)) tmp = 0.0 if (beta <= 1.65e+113) tmp = 0.0625; else tmp = Float64(Float64(i / Float64(t_1 - -1.0)) * Float64(fma(beta, Float64(alpha / t_0), Float64(Float64(i / t_0) * Float64(i + Float64(alpha + beta)))) / Float64(t_1 - 1.0))); end return tmp end
code[alpha_, beta_, i_] := Block[{t$95$0 = N[(2.0 * i + N[(alpha + beta), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(2.0 * i + N[(beta + alpha), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[beta, 1.65e+113], 0.0625, N[(N[(i / N[(t$95$1 - -1.0), $MachinePrecision]), $MachinePrecision] * N[(N[(beta * N[(alpha / t$95$0), $MachinePrecision] + N[(N[(i / t$95$0), $MachinePrecision] * N[(i + N[(alpha + beta), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(t$95$1 - 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(2, i, \alpha + \beta\right)\\
t_1 := \mathsf{fma}\left(2, i, \beta + \alpha\right)\\
\mathbf{if}\;\beta \leq 1.65 \cdot 10^{+113}:\\
\;\;\;\;0.0625\\
\mathbf{else}:\\
\;\;\;\;\frac{i}{t\_1 - -1} \cdot \frac{\mathsf{fma}\left(\beta, \frac{\alpha}{t\_0}, \frac{i}{t\_0} \cdot \left(i + \left(\alpha + \beta\right)\right)\right)}{t\_1 - 1}\\
\end{array}
\end{array}
if beta < 1.6500000000000002e113Initial program 20.7%
lift-/.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
times-fracN/A
lift--.f64N/A
lift-*.f64N/A
difference-of-sqr-1N/A
Applied rewrites47.9%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
frac-2negN/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites47.8%
Applied rewrites30.2%
Taylor expanded in i around inf
Applied rewrites80.8%
if 1.6500000000000002e113 < beta Initial program 1.6%
lift-/.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
times-fracN/A
lift--.f64N/A
lift-*.f64N/A
difference-of-sqr-1N/A
Applied rewrites26.1%
lift-/.f64N/A
lift-fma.f64N/A
div-addN/A
associate-*r/N/A
lift-/.f64N/A
lift-*.f64N/A
+-commutativeN/A
lift-*.f64N/A
associate-/l*N/A
lower-fma.f64N/A
lower-/.f6499.3
lift-+.f64N/A
+-commutativeN/A
lift-+.f6499.3
lift-*.f64N/A
*-commutativeN/A
lower-*.f6499.3
Applied rewrites99.3%
lift-fma.f64N/A
lift-*.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
count-2-revN/A
associate-+r+N/A
+-commutativeN/A
lift-+.f64N/A
lower-+.f6499.4
lift-+.f64N/A
+-commutativeN/A
lift-+.f6499.4
Applied rewrites99.4%
Taylor expanded in alpha around inf
Applied rewrites72.9%
(FPCore (alpha beta i)
:precision binary64
(let* ((t_0 (fma 2.0 i (+ beta alpha))))
(if (<= beta 1.65e+113)
0.0625
(*
(/
(* (+ (+ beta alpha) i) (/ i (+ (+ (+ alpha beta) i) i)))
(- t_0 -1.0))
(/ (+ alpha i) (- t_0 1.0))))))
double code(double alpha, double beta, double i) {
double t_0 = fma(2.0, i, (beta + alpha));
double tmp;
if (beta <= 1.65e+113) {
tmp = 0.0625;
} else {
tmp = ((((beta + alpha) + i) * (i / (((alpha + beta) + i) + i))) / (t_0 - -1.0)) * ((alpha + i) / (t_0 - 1.0));
}
return tmp;
}
function code(alpha, beta, i) t_0 = fma(2.0, i, Float64(beta + alpha)) tmp = 0.0 if (beta <= 1.65e+113) tmp = 0.0625; else tmp = Float64(Float64(Float64(Float64(Float64(beta + alpha) + i) * Float64(i / Float64(Float64(Float64(alpha + beta) + i) + i))) / Float64(t_0 - -1.0)) * Float64(Float64(alpha + i) / Float64(t_0 - 1.0))); end return tmp end
code[alpha_, beta_, i_] := Block[{t$95$0 = N[(2.0 * i + N[(beta + alpha), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[beta, 1.65e+113], 0.0625, N[(N[(N[(N[(N[(beta + alpha), $MachinePrecision] + i), $MachinePrecision] * N[(i / N[(N[(N[(alpha + beta), $MachinePrecision] + i), $MachinePrecision] + i), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(t$95$0 - -1.0), $MachinePrecision]), $MachinePrecision] * N[(N[(alpha + i), $MachinePrecision] / N[(t$95$0 - 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(2, i, \beta + \alpha\right)\\
\mathbf{if}\;\beta \leq 1.65 \cdot 10^{+113}:\\
\;\;\;\;0.0625\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(\left(\beta + \alpha\right) + i\right) \cdot \frac{i}{\left(\left(\alpha + \beta\right) + i\right) + i}}{t\_0 - -1} \cdot \frac{\alpha + i}{t\_0 - 1}\\
\end{array}
\end{array}
if beta < 1.6500000000000002e113Initial program 20.7%
lift-/.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
times-fracN/A
lift--.f64N/A
lift-*.f64N/A
difference-of-sqr-1N/A
Applied rewrites47.9%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
frac-2negN/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites47.8%
Applied rewrites30.2%
Taylor expanded in i around inf
Applied rewrites80.8%
if 1.6500000000000002e113 < beta Initial program 1.6%
lift-/.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
times-fracN/A
lift--.f64N/A
lift-*.f64N/A
difference-of-sqr-1N/A
Applied rewrites26.1%
lift-/.f64N/A
lift-fma.f64N/A
div-addN/A
associate-*r/N/A
lift-/.f64N/A
lift-*.f64N/A
+-commutativeN/A
lift-*.f64N/A
associate-/l*N/A
lower-fma.f64N/A
lower-/.f6499.3
lift-+.f64N/A
+-commutativeN/A
lift-+.f6499.3
lift-*.f64N/A
*-commutativeN/A
lower-*.f6499.3
Applied rewrites99.3%
lift-fma.f64N/A
lift-*.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
count-2-revN/A
associate-+r+N/A
+-commutativeN/A
lift-+.f64N/A
lower-+.f6499.4
lift-+.f64N/A
+-commutativeN/A
lift-+.f6499.4
Applied rewrites99.4%
Taylor expanded in beta around inf
lower-+.f6465.8
Applied rewrites65.8%
(FPCore (alpha beta i)
:precision binary64
(if (<= beta 6.5e+135)
0.0625
(*
(/
(* (+ (+ beta alpha) i) (/ i (+ (+ (+ alpha beta) i) i)))
(- (fma 2.0 i (+ beta alpha)) -1.0))
(/ (+ alpha i) beta))))
double code(double alpha, double beta, double i) {
double tmp;
if (beta <= 6.5e+135) {
tmp = 0.0625;
} else {
tmp = ((((beta + alpha) + i) * (i / (((alpha + beta) + i) + i))) / (fma(2.0, i, (beta + alpha)) - -1.0)) * ((alpha + i) / beta);
}
return tmp;
}
function code(alpha, beta, i) tmp = 0.0 if (beta <= 6.5e+135) tmp = 0.0625; else tmp = Float64(Float64(Float64(Float64(Float64(beta + alpha) + i) * Float64(i / Float64(Float64(Float64(alpha + beta) + i) + i))) / Float64(fma(2.0, i, Float64(beta + alpha)) - -1.0)) * Float64(Float64(alpha + i) / beta)); end return tmp end
code[alpha_, beta_, i_] := If[LessEqual[beta, 6.5e+135], 0.0625, N[(N[(N[(N[(N[(beta + alpha), $MachinePrecision] + i), $MachinePrecision] * N[(i / N[(N[(N[(alpha + beta), $MachinePrecision] + i), $MachinePrecision] + i), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(2.0 * i + N[(beta + alpha), $MachinePrecision]), $MachinePrecision] - -1.0), $MachinePrecision]), $MachinePrecision] * N[(N[(alpha + i), $MachinePrecision] / beta), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;\beta \leq 6.5 \cdot 10^{+135}:\\
\;\;\;\;0.0625\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(\left(\beta + \alpha\right) + i\right) \cdot \frac{i}{\left(\left(\alpha + \beta\right) + i\right) + i}}{\mathsf{fma}\left(2, i, \beta + \alpha\right) - -1} \cdot \frac{\alpha + i}{\beta}\\
\end{array}
\end{array}
if beta < 6.5000000000000003e135Initial program 20.4%
lift-/.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
times-fracN/A
lift--.f64N/A
lift-*.f64N/A
difference-of-sqr-1N/A
Applied rewrites47.7%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
frac-2negN/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites47.7%
Applied rewrites29.9%
Taylor expanded in i around inf
Applied rewrites80.0%
if 6.5000000000000003e135 < beta Initial program 0.6%
lift-/.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
times-fracN/A
lift--.f64N/A
lift-*.f64N/A
difference-of-sqr-1N/A
Applied rewrites23.9%
lift-/.f64N/A
lift-fma.f64N/A
div-addN/A
associate-*r/N/A
lift-/.f64N/A
lift-*.f64N/A
+-commutativeN/A
lift-*.f64N/A
associate-/l*N/A
lower-fma.f64N/A
lower-/.f6499.3
lift-+.f64N/A
+-commutativeN/A
lift-+.f6499.3
lift-*.f64N/A
*-commutativeN/A
lower-*.f6499.3
Applied rewrites99.3%
lift-fma.f64N/A
lift-*.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
count-2-revN/A
associate-+r+N/A
+-commutativeN/A
lift-+.f64N/A
lower-+.f6499.3
lift-+.f64N/A
+-commutativeN/A
lift-+.f6499.3
Applied rewrites99.3%
Taylor expanded in beta around inf
lower-/.f64N/A
lower-+.f6466.1
Applied rewrites66.1%
(FPCore (alpha beta i)
:precision binary64
(if (<= beta 6.5e+135)
0.0625
(/
(* -1.0 (/ (* i (+ alpha i)) beta))
(- -1.0 (fma 2.0 i (+ alpha beta))))))
double code(double alpha, double beta, double i) {
double tmp;
if (beta <= 6.5e+135) {
tmp = 0.0625;
} else {
tmp = (-1.0 * ((i * (alpha + i)) / beta)) / (-1.0 - fma(2.0, i, (alpha + beta)));
}
return tmp;
}
function code(alpha, beta, i) tmp = 0.0 if (beta <= 6.5e+135) tmp = 0.0625; else tmp = Float64(Float64(-1.0 * Float64(Float64(i * Float64(alpha + i)) / beta)) / Float64(-1.0 - fma(2.0, i, Float64(alpha + beta)))); end return tmp end
code[alpha_, beta_, i_] := If[LessEqual[beta, 6.5e+135], 0.0625, N[(N[(-1.0 * N[(N[(i * N[(alpha + i), $MachinePrecision]), $MachinePrecision] / beta), $MachinePrecision]), $MachinePrecision] / N[(-1.0 - N[(2.0 * i + N[(alpha + beta), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;\beta \leq 6.5 \cdot 10^{+135}:\\
\;\;\;\;0.0625\\
\mathbf{else}:\\
\;\;\;\;\frac{-1 \cdot \frac{i \cdot \left(\alpha + i\right)}{\beta}}{-1 - \mathsf{fma}\left(2, i, \alpha + \beta\right)}\\
\end{array}
\end{array}
if beta < 6.5000000000000003e135Initial program 20.4%
lift-/.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
times-fracN/A
lift--.f64N/A
lift-*.f64N/A
difference-of-sqr-1N/A
Applied rewrites47.7%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
frac-2negN/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites47.7%
Applied rewrites29.9%
Taylor expanded in i around inf
Applied rewrites80.0%
if 6.5000000000000003e135 < beta Initial program 0.6%
lift-/.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
times-fracN/A
lift--.f64N/A
lift-*.f64N/A
difference-of-sqr-1N/A
Applied rewrites23.9%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
frac-2negN/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites23.9%
Applied rewrites9.2%
Taylor expanded in beta around inf
lower-*.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-+.f6445.7
Applied rewrites45.7%
(FPCore (alpha beta i) :precision binary64 (let* ((t_0 (fma 2.0 i (+ beta alpha)))) (if (<= beta 2.6e+257) 0.0625 (/ (* i (+ alpha i)) (fma t_0 t_0 -1.0)))))
double code(double alpha, double beta, double i) {
double t_0 = fma(2.0, i, (beta + alpha));
double tmp;
if (beta <= 2.6e+257) {
tmp = 0.0625;
} else {
tmp = (i * (alpha + i)) / fma(t_0, t_0, -1.0);
}
return tmp;
}
function code(alpha, beta, i) t_0 = fma(2.0, i, Float64(beta + alpha)) tmp = 0.0 if (beta <= 2.6e+257) tmp = 0.0625; else tmp = Float64(Float64(i * Float64(alpha + i)) / fma(t_0, t_0, -1.0)); end return tmp end
code[alpha_, beta_, i_] := Block[{t$95$0 = N[(2.0 * i + N[(beta + alpha), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[beta, 2.6e+257], 0.0625, N[(N[(i * N[(alpha + i), $MachinePrecision]), $MachinePrecision] / N[(t$95$0 * t$95$0 + -1.0), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(2, i, \beta + \alpha\right)\\
\mathbf{if}\;\beta \leq 2.6 \cdot 10^{+257}:\\
\;\;\;\;0.0625\\
\mathbf{else}:\\
\;\;\;\;\frac{i \cdot \left(\alpha + i\right)}{\mathsf{fma}\left(t\_0, t\_0, -1\right)}\\
\end{array}
\end{array}
if beta < 2.60000000000000021e257Initial program 17.7%
lift-/.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
times-fracN/A
lift--.f64N/A
lift-*.f64N/A
difference-of-sqr-1N/A
Applied rewrites45.4%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
frac-2negN/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites45.4%
Applied rewrites27.4%
Taylor expanded in i around inf
Applied rewrites74.0%
if 2.60000000000000021e257 < beta Initial program 0.0%
lift--.f64N/A
sub-negate1N/A
lift-*.f64N/A
lower-fma.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lower-fma.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lower-fma.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
metadata-eval0.0
Applied rewrites0.0%
lift-*.f64N/A
pow2N/A
lift-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-fma.f64N/A
pow2N/A
lower-*.f640.0
lift-+.f64N/A
+-commutativeN/A
lift-+.f640.0
lift-+.f64N/A
+-commutativeN/A
lift-+.f640.0
Applied rewrites0.0%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites0.0%
Taylor expanded in beta around inf
lower-*.f64N/A
lower-+.f6438.4
Applied rewrites38.4%
(FPCore (alpha beta i) :precision binary64 0.0625)
double code(double alpha, double beta, double i) {
return 0.0625;
}
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(alpha, beta, i)
use fmin_fmax_functions
real(8), intent (in) :: alpha
real(8), intent (in) :: beta
real(8), intent (in) :: i
code = 0.0625d0
end function
public static double code(double alpha, double beta, double i) {
return 0.0625;
}
def code(alpha, beta, i): return 0.0625
function code(alpha, beta, i) return 0.0625 end
function tmp = code(alpha, beta, i) tmp = 0.0625; end
code[alpha_, beta_, i_] := 0.0625
\begin{array}{l}
\\
0.0625
\end{array}
Initial program 16.7%
lift-/.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
times-fracN/A
lift--.f64N/A
lift-*.f64N/A
difference-of-sqr-1N/A
Applied rewrites43.2%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
frac-2negN/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites43.2%
Applied rewrites26.1%
Taylor expanded in i around inf
Applied rewrites70.6%
herbie shell --seed 2025108
(FPCore (alpha beta i)
:name "Octave 3.8, jcobi/4"
:precision binary64
:pre (and (and (> alpha -1.0) (> beta -1.0)) (> i 1.0))
(/ (/ (* (* i (+ (+ alpha beta) i)) (+ (* beta alpha) (* i (+ (+ alpha beta) i)))) (* (+ (+ alpha beta) (* 2.0 i)) (+ (+ alpha beta) (* 2.0 i)))) (- (* (+ (+ alpha beta) (* 2.0 i)) (+ (+ alpha beta) (* 2.0 i))) 1.0)))