?

Average Error: 25.4 → 0.7
Time: 4.4s
Precision: binary64
Cost: 388

?

\[x \cdot \sqrt{y \cdot y - z \cdot z} \]
\[\begin{array}{l} \mathbf{if}\;y \leq -1.2194614244193256 \cdot 10^{-285}:\\ \;\;\;\;\left(-y\right) \cdot x\\ \mathbf{else}:\\ \;\;\;\;y \cdot x\\ \end{array} \]
(FPCore (x y z) :precision binary64 (* x (sqrt (- (* y y) (* z z)))))
(FPCore (x y z)
 :precision binary64
 (if (<= y -1.2194614244193256e-285) (* (- y) x) (* y x)))
double code(double x, double y, double z) {
	return x * sqrt(((y * y) - (z * z)));
}
double code(double x, double y, double z) {
	double tmp;
	if (y <= -1.2194614244193256e-285) {
		tmp = -y * x;
	} else {
		tmp = y * x;
	}
	return tmp;
}
real(8) function code(x, y, z)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    code = x * sqrt(((y * y) - (z * z)))
end function
real(8) function code(x, y, z)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    real(8) :: tmp
    if (y <= (-1.2194614244193256d-285)) then
        tmp = -y * x
    else
        tmp = y * x
    end if
    code = tmp
end function
public static double code(double x, double y, double z) {
	return x * Math.sqrt(((y * y) - (z * z)));
}
public static double code(double x, double y, double z) {
	double tmp;
	if (y <= -1.2194614244193256e-285) {
		tmp = -y * x;
	} else {
		tmp = y * x;
	}
	return tmp;
}
def code(x, y, z):
	return x * math.sqrt(((y * y) - (z * z)))
def code(x, y, z):
	tmp = 0
	if y <= -1.2194614244193256e-285:
		tmp = -y * x
	else:
		tmp = y * x
	return tmp
function code(x, y, z)
	return Float64(x * sqrt(Float64(Float64(y * y) - Float64(z * z))))
end
function code(x, y, z)
	tmp = 0.0
	if (y <= -1.2194614244193256e-285)
		tmp = Float64(Float64(-y) * x);
	else
		tmp = Float64(y * x);
	end
	return tmp
end
function tmp = code(x, y, z)
	tmp = x * sqrt(((y * y) - (z * z)));
end
function tmp_2 = code(x, y, z)
	tmp = 0.0;
	if (y <= -1.2194614244193256e-285)
		tmp = -y * x;
	else
		tmp = y * x;
	end
	tmp_2 = tmp;
end
code[x_, y_, z_] := N[(x * N[Sqrt[N[(N[(y * y), $MachinePrecision] - N[(z * z), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
code[x_, y_, z_] := If[LessEqual[y, -1.2194614244193256e-285], N[((-y) * x), $MachinePrecision], N[(y * x), $MachinePrecision]]
x \cdot \sqrt{y \cdot y - z \cdot z}
\begin{array}{l}
\mathbf{if}\;y \leq -1.2194614244193256 \cdot 10^{-285}:\\
\;\;\;\;\left(-y\right) \cdot x\\

\mathbf{else}:\\
\;\;\;\;y \cdot x\\


\end{array}

Error?

Try it out?

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original25.4
Target0.7
Herbie0.7
\[\begin{array}{l} \mathbf{if}\;y < 2.5816096488251695 \cdot 10^{-278}:\\ \;\;\;\;-x \cdot y\\ \mathbf{else}:\\ \;\;\;\;x \cdot \left(\sqrt{y + z} \cdot \sqrt{y - z}\right)\\ \end{array} \]

Derivation?

  1. Split input into 2 regimes
  2. if y < -1.2194614244193256e-285

    1. Initial program 25.1

      \[x \cdot \sqrt{y \cdot y - z \cdot z} \]
    2. Taylor expanded in y around -inf 0.7

      \[\leadsto \color{blue}{-1 \cdot \left(y \cdot x\right)} \]
    3. Simplified0.7

      \[\leadsto \color{blue}{\left(-y\right) \cdot x} \]
      Proof

      [Start]0.7

      \[ -1 \cdot \left(y \cdot x\right) \]

      rational.json-simplify-43 [<=]0.7

      \[ \color{blue}{x \cdot \left(-1 \cdot y\right)} \]

      rational.json-simplify-2 [=>]0.7

      \[ \color{blue}{\left(-1 \cdot y\right) \cdot x} \]

      rational.json-simplify-2 [=>]0.7

      \[ \color{blue}{\left(y \cdot -1\right)} \cdot x \]

      rational.json-simplify-9 [=>]0.7

      \[ \color{blue}{\left(-y\right)} \cdot x \]

    if -1.2194614244193256e-285 < y

    1. Initial program 25.6

      \[x \cdot \sqrt{y \cdot y - z \cdot z} \]
    2. Taylor expanded in y around inf 0.6

      \[\leadsto \color{blue}{y \cdot x} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification0.7

    \[\leadsto \begin{array}{l} \mathbf{if}\;y \leq -1.2194614244193256 \cdot 10^{-285}:\\ \;\;\;\;\left(-y\right) \cdot x\\ \mathbf{else}:\\ \;\;\;\;y \cdot x\\ \end{array} \]

Alternatives

Alternative 1
Error29.7
Cost192
\[y \cdot x \]

Error

Reproduce?

herbie shell --seed 2023075 
(FPCore (x y z)
  :name "Diagrams.TwoD.Apollonian:initialConfig from diagrams-contrib-1.3.0.5, B"
  :precision binary64

  :herbie-target
  (if (< y 2.5816096488251695e-278) (- (* x y)) (* x (* (sqrt (+ y z)) (sqrt (- y z)))))

  (* x (sqrt (- (* y y) (* z z)))))