| Alternative 1 | |
|---|---|
| Error | 8.9 |
| Cost | 9092 |
(FPCore (x y z t a b) :precision binary64 (/ (+ x (/ (* y z) t)) (+ (+ a 1.0) (/ (* y b) t))))
(FPCore (x y z t a b)
:precision binary64
(let* ((t_1 (/ (+ x (/ (* y z) t)) (+ (+ a 1.0) (/ (* y b) t)))))
(if (<= t_1 (- INFINITY))
(+ (/ x (- a -1.0)) (* y (/ z (* t (+ 1.0 a)))))
(if (<= t_1 -1e-286)
t_1
(if (<= t_1 0.0)
(/ (* y z) (+ (* y b) (* t a)))
(if (<= t_1 1e+287) t_1 (/ z b)))))))double code(double x, double y, double z, double t, double a, double b) {
return (x + ((y * z) / t)) / ((a + 1.0) + ((y * b) / t));
}
double code(double x, double y, double z, double t, double a, double b) {
double t_1 = (x + ((y * z) / t)) / ((a + 1.0) + ((y * b) / t));
double tmp;
if (t_1 <= -((double) INFINITY)) {
tmp = (x / (a - -1.0)) + (y * (z / (t * (1.0 + a))));
} else if (t_1 <= -1e-286) {
tmp = t_1;
} else if (t_1 <= 0.0) {
tmp = (y * z) / ((y * b) + (t * a));
} else if (t_1 <= 1e+287) {
tmp = t_1;
} else {
tmp = z / b;
}
return tmp;
}
public static double code(double x, double y, double z, double t, double a, double b) {
return (x + ((y * z) / t)) / ((a + 1.0) + ((y * b) / t));
}
public static double code(double x, double y, double z, double t, double a, double b) {
double t_1 = (x + ((y * z) / t)) / ((a + 1.0) + ((y * b) / t));
double tmp;
if (t_1 <= -Double.POSITIVE_INFINITY) {
tmp = (x / (a - -1.0)) + (y * (z / (t * (1.0 + a))));
} else if (t_1 <= -1e-286) {
tmp = t_1;
} else if (t_1 <= 0.0) {
tmp = (y * z) / ((y * b) + (t * a));
} else if (t_1 <= 1e+287) {
tmp = t_1;
} else {
tmp = z / b;
}
return tmp;
}
def code(x, y, z, t, a, b): return (x + ((y * z) / t)) / ((a + 1.0) + ((y * b) / t))
def code(x, y, z, t, a, b): t_1 = (x + ((y * z) / t)) / ((a + 1.0) + ((y * b) / t)) tmp = 0 if t_1 <= -math.inf: tmp = (x / (a - -1.0)) + (y * (z / (t * (1.0 + a)))) elif t_1 <= -1e-286: tmp = t_1 elif t_1 <= 0.0: tmp = (y * z) / ((y * b) + (t * a)) elif t_1 <= 1e+287: tmp = t_1 else: tmp = z / b return tmp
function code(x, y, z, t, a, b) return Float64(Float64(x + Float64(Float64(y * z) / t)) / Float64(Float64(a + 1.0) + Float64(Float64(y * b) / t))) end
function code(x, y, z, t, a, b) t_1 = Float64(Float64(x + Float64(Float64(y * z) / t)) / Float64(Float64(a + 1.0) + Float64(Float64(y * b) / t))) tmp = 0.0 if (t_1 <= Float64(-Inf)) tmp = Float64(Float64(x / Float64(a - -1.0)) + Float64(y * Float64(z / Float64(t * Float64(1.0 + a))))); elseif (t_1 <= -1e-286) tmp = t_1; elseif (t_1 <= 0.0) tmp = Float64(Float64(y * z) / Float64(Float64(y * b) + Float64(t * a))); elseif (t_1 <= 1e+287) tmp = t_1; else tmp = Float64(z / b); end return tmp end
function tmp = code(x, y, z, t, a, b) tmp = (x + ((y * z) / t)) / ((a + 1.0) + ((y * b) / t)); end
function tmp_2 = code(x, y, z, t, a, b) t_1 = (x + ((y * z) / t)) / ((a + 1.0) + ((y * b) / t)); tmp = 0.0; if (t_1 <= -Inf) tmp = (x / (a - -1.0)) + (y * (z / (t * (1.0 + a)))); elseif (t_1 <= -1e-286) tmp = t_1; elseif (t_1 <= 0.0) tmp = (y * z) / ((y * b) + (t * a)); elseif (t_1 <= 1e+287) tmp = t_1; else tmp = z / b; end tmp_2 = tmp; end
code[x_, y_, z_, t_, a_, b_] := N[(N[(x + N[(N[(y * z), $MachinePrecision] / t), $MachinePrecision]), $MachinePrecision] / N[(N[(a + 1.0), $MachinePrecision] + N[(N[(y * b), $MachinePrecision] / t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
code[x_, y_, z_, t_, a_, b_] := Block[{t$95$1 = N[(N[(x + N[(N[(y * z), $MachinePrecision] / t), $MachinePrecision]), $MachinePrecision] / N[(N[(a + 1.0), $MachinePrecision] + N[(N[(y * b), $MachinePrecision] / t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, (-Infinity)], N[(N[(x / N[(a - -1.0), $MachinePrecision]), $MachinePrecision] + N[(y * N[(z / N[(t * N[(1.0 + a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$1, -1e-286], t$95$1, If[LessEqual[t$95$1, 0.0], N[(N[(y * z), $MachinePrecision] / N[(N[(y * b), $MachinePrecision] + N[(t * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$1, 1e+287], t$95$1, N[(z / b), $MachinePrecision]]]]]]
\frac{x + \frac{y \cdot z}{t}}{\left(a + 1\right) + \frac{y \cdot b}{t}}
\begin{array}{l}
t_1 := \frac{x + \frac{y \cdot z}{t}}{\left(a + 1\right) + \frac{y \cdot b}{t}}\\
\mathbf{if}\;t_1 \leq -\infty:\\
\;\;\;\;\frac{x}{a - -1} + y \cdot \frac{z}{t \cdot \left(1 + a\right)}\\
\mathbf{elif}\;t_1 \leq -1 \cdot 10^{-286}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;t_1 \leq 0:\\
\;\;\;\;\frac{y \cdot z}{y \cdot b + t \cdot a}\\
\mathbf{elif}\;t_1 \leq 10^{+287}:\\
\;\;\;\;t_1\\
\mathbf{else}:\\
\;\;\;\;\frac{z}{b}\\
\end{array}
Results
| Original | 16.9 |
|---|---|
| Target | 12.8 |
| Herbie | 8.1 |
if (/.f64 (+.f64 x (/.f64 (*.f64 y z) t)) (+.f64 (+.f64 a 1) (/.f64 (*.f64 y b) t))) < -inf.0Initial program 64.0
Taylor expanded in y around 0 39.9
Simplified39.9
[Start]39.9 | \[ y \cdot \left(\frac{z}{t \cdot \left(1 + a\right)} - \frac{b \cdot x}{t \cdot {\left(1 + a\right)}^{2}}\right) + \frac{x}{1 + a}
\] |
|---|---|
rational_best-simplify-1 [=>]39.9 | \[ \color{blue}{\frac{x}{1 + a} + y \cdot \left(\frac{z}{t \cdot \left(1 + a\right)} - \frac{b \cdot x}{t \cdot {\left(1 + a\right)}^{2}}\right)}
\] |
rational_best-simplify-1 [<=]39.9 | \[ \frac{x}{\color{blue}{a + 1}} + y \cdot \left(\frac{z}{t \cdot \left(1 + a\right)} - \frac{b \cdot x}{t \cdot {\left(1 + a\right)}^{2}}\right)
\] |
rational_best-simplify-16 [=>]39.9 | \[ \frac{x}{\color{blue}{a - -1}} + y \cdot \left(\frac{z}{t \cdot \left(1 + a\right)} - \frac{b \cdot x}{t \cdot {\left(1 + a\right)}^{2}}\right)
\] |
rational_best-simplify-1 [<=]39.9 | \[ \frac{x}{a - -1} + y \cdot \left(\frac{z}{t \cdot \color{blue}{\left(a + 1\right)}} - \frac{b \cdot x}{t \cdot {\left(1 + a\right)}^{2}}\right)
\] |
rational_best-simplify-16 [=>]39.9 | \[ \frac{x}{a - -1} + y \cdot \left(\frac{z}{t \cdot \color{blue}{\left(a - -1\right)}} - \frac{b \cdot x}{t \cdot {\left(1 + a\right)}^{2}}\right)
\] |
rational_best-simplify-1 [<=]39.9 | \[ \frac{x}{a - -1} + y \cdot \left(\frac{z}{t \cdot \left(a - -1\right)} - \frac{b \cdot x}{t \cdot {\color{blue}{\left(a + 1\right)}}^{2}}\right)
\] |
rational_best-simplify-16 [=>]39.9 | \[ \frac{x}{a - -1} + y \cdot \left(\frac{z}{t \cdot \left(a - -1\right)} - \frac{b \cdot x}{t \cdot {\color{blue}{\left(a - -1\right)}}^{2}}\right)
\] |
Taylor expanded in a around 0 40.8
Simplified40.8
[Start]40.8 | \[ \frac{x}{a - -1} + y \cdot \left(\frac{z}{t \cdot \left(a - -1\right)} - \frac{b \cdot x}{t + 2 \cdot \left(a \cdot t\right)}\right)
\] |
|---|---|
rational_best-simplify-2 [=>]40.8 | \[ \frac{x}{a - -1} + y \cdot \left(\frac{z}{t \cdot \left(a - -1\right)} - \frac{b \cdot x}{t + 2 \cdot \color{blue}{\left(t \cdot a\right)}}\right)
\] |
rational_best-simplify-44 [=>]40.8 | \[ \frac{x}{a - -1} + y \cdot \left(\frac{z}{t \cdot \left(a - -1\right)} - \frac{b \cdot x}{t + \color{blue}{t \cdot \left(2 \cdot a\right)}}\right)
\] |
rational_best-simplify-2 [=>]40.8 | \[ \frac{x}{a - -1} + y \cdot \left(\frac{z}{t \cdot \left(a - -1\right)} - \frac{b \cdot x}{t + t \cdot \color{blue}{\left(a \cdot 2\right)}}\right)
\] |
Taylor expanded in z around inf 39.1
if -inf.0 < (/.f64 (+.f64 x (/.f64 (*.f64 y z) t)) (+.f64 (+.f64 a 1) (/.f64 (*.f64 y b) t))) < -1.00000000000000005e-286 or -0.0 < (/.f64 (+.f64 x (/.f64 (*.f64 y z) t)) (+.f64 (+.f64 a 1) (/.f64 (*.f64 y b) t))) < 1.0000000000000001e287Initial program 0.5
if -1.00000000000000005e-286 < (/.f64 (+.f64 x (/.f64 (*.f64 y z) t)) (+.f64 (+.f64 a 1) (/.f64 (*.f64 y b) t))) < -0.0Initial program 27.4
Taylor expanded in x around 0 29.5
Taylor expanded in t around 0 22.6
Taylor expanded in a around inf 22.6
Simplified22.6
[Start]22.6 | \[ \frac{y \cdot z}{y \cdot b + a \cdot t}
\] |
|---|---|
rational_best-simplify-2 [=>]22.6 | \[ \frac{y \cdot z}{y \cdot b + \color{blue}{t \cdot a}}
\] |
if 1.0000000000000001e287 < (/.f64 (+.f64 x (/.f64 (*.f64 y z) t)) (+.f64 (+.f64 a 1) (/.f64 (*.f64 y b) t))) Initial program 61.4
Taylor expanded in y around inf 14.8
Final simplification8.1
| Alternative 1 | |
|---|---|
| Error | 8.9 |
| Cost | 9092 |
| Alternative 2 | |
|---|---|
| Error | 8.5 |
| Cost | 5196 |
| Alternative 3 | |
|---|---|
| Error | 25.9 |
| Cost | 2024 |
| Alternative 4 | |
|---|---|
| Error | 26.0 |
| Cost | 2024 |
| Alternative 5 | |
|---|---|
| Error | 23.7 |
| Cost | 1884 |
| Alternative 6 | |
|---|---|
| Error | 23.9 |
| Cost | 1884 |
| Alternative 7 | |
|---|---|
| Error | 30.2 |
| Cost | 1760 |
| Alternative 8 | |
|---|---|
| Error | 24.0 |
| Cost | 1364 |
| Alternative 9 | |
|---|---|
| Error | 30.0 |
| Cost | 1236 |
| Alternative 10 | |
|---|---|
| Error | 26.2 |
| Cost | 1232 |
| Alternative 11 | |
|---|---|
| Error | 29.8 |
| Cost | 848 |
| Alternative 12 | |
|---|---|
| Error | 36.5 |
| Cost | 720 |
| Alternative 13 | |
|---|---|
| Error | 37.0 |
| Cost | 456 |
| Alternative 14 | |
|---|---|
| Error | 51.4 |
| Cost | 64 |
herbie shell --seed 2023092
(FPCore (x y z t a b)
:name "Diagrams.Solve.Tridiagonal:solveCyclicTriDiagonal from diagrams-solve-0.1, B"
:precision binary64
:herbie-target
(if (< t -1.3659085366310088e-271) (* 1.0 (* (+ x (* (/ y t) z)) (/ 1.0 (+ (+ a 1.0) (* (/ y t) b))))) (if (< t 3.036967103737246e-130) (/ z b) (* 1.0 (* (+ x (* (/ y t) z)) (/ 1.0 (+ (+ a 1.0) (* (/ y t) b)))))))
(/ (+ x (/ (* y z) t)) (+ (+ a 1.0) (/ (* y b) t))))