Average Error: 0.5 → 0.1
Time: 5.4s
Precision: binary64
\[\frac{60 \cdot \left(x - y\right)}{z - t} + a \cdot 120 \]
↓
\[\mathsf{fma}\left(120, a, \mathsf{fma}\left(-60, \frac{y}{z - t}, \frac{60}{z - t} \cdot x\right)\right) \]
(FPCore (x y z t a)
 :precision binary64
 (+ (/ (* 60.0 (- x y)) (- z t)) (* a 120.0)))
↓
(FPCore (x y z t a)
 :precision binary64
 (fma 120.0 a (fma -60.0 (/ y (- z t)) (* (/ 60.0 (- z t)) x))))
double code(double x, double y, double z, double t, double a) {
	return ((60.0 * (x - y)) / (z - t)) + (a * 120.0);
}
↓
double code(double x, double y, double z, double t, double a) {
	return fma(120.0, a, fma(-60.0, (y / (z - t)), ((60.0 / (z - t)) * x)));
}

function code(x, y, z, t, a)
	return Float64(Float64(Float64(60.0 * Float64(x - y)) / Float64(z - t)) + Float64(a * 120.0))
end
↓
function code(x, y, z, t, a)
	return fma(120.0, a, fma(-60.0, Float64(y / Float64(z - t)), Float64(Float64(60.0 / Float64(z - t)) * x)))
end

code[x_, y_, z_, t_, a_] := N[(N[(N[(60.0 * N[(x - y), $MachinePrecision]), $MachinePrecision] / N[(z - t), $MachinePrecision]), $MachinePrecision] + N[(a * 120.0), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_, z_, t_, a_] := N[(120.0 * a + N[(-60.0 * N[(y / N[(z - t), $MachinePrecision]), $MachinePrecision] + N[(N[(60.0 / N[(z - t), $MachinePrecision]), $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

\frac{60 \cdot \left(x - y\right)}{z - t} + a \cdot 120
↓
\mathsf{fma}\left(120, a, \mathsf{fma}\left(-60, \frac{y}{z - t}, \frac{60}{z - t} \cdot x\right)\right)

Error

Target

Original0.5
Target0.2
Herbie0.1
\[\frac{60}{\frac{z - t}{x - y}} + a \cdot 120 \]

Derivation

  1. Initial program 0.5

    \[\frac{60 \cdot \left(x - y\right)}{z - t} + a \cdot 120 \]

  2. Simplified0.2

    \[\leadsto \color{blue}{\mathsf{fma}\left(60, \frac{x - y}{z - t}, a \cdot 120\right)} \]

  3. Taylor expanded in x around 0 0.2

    \[\leadsto \color{blue}{120 \cdot a + \left(-60 \cdot \frac{y}{z - t} + 60 \cdot \frac{x}{z - t}\right)} \]

  4. Simplified0.3

    \[\leadsto \color{blue}{\mathsf{fma}\left(120, a, \mathsf{fma}\left(-60, \frac{y}{z - t}, \frac{60 \cdot x}{z - t}\right)\right)} \]

  5. Applied egg-rr0.1

    \[\leadsto \mathsf{fma}\left(120, a, \mathsf{fma}\left(-60, \frac{y}{z - t}, \color{blue}{\frac{60}{z - t} \cdot x}\right)\right) \]

  6. Final simplification0.1

    \[\leadsto \mathsf{fma}\left(120, a, \mathsf{fma}\left(-60, \frac{y}{z - t}, \frac{60}{z - t} \cdot x\right)\right) \]

Reproduce

herbie shell --seed 2022190 
(FPCore (x y z t a)
  :name "Data.Colour.RGB:hslsv from colour-2.3.3, B"
  :precision binary64

  :herbie-target
  (+ (/ 60.0 (/ (- z t) (- x y))) (* a 120.0))

  (+ (/ (* 60.0 (- x y)) (- z t)) (* a 120.0)))