Curve intersection, scale width based on ribbon orientation

Percentage Accurate: 97.4% → 99.4%
Time: 12.9s
Alternatives: 13
Speedup: 60.1×

Specification

?
\[\left(\left(\left(0 \leq normAngle \land normAngle \leq \frac{\pi}{2}\right) \land \left(-1 \leq n0_i \land n0_i \leq 1\right)\right) \land \left(-1 \leq n1_i \land n1_i \leq 1\right)\right) \land \left(2.328306437 \cdot 10^{-10} \leq u \land u \leq 1\right)\]
\[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{1}{\sin normAngle}\\ \left(\sin \left(\left(1 - u\right) \cdot normAngle\right) \cdot t_0\right) \cdot n0_i + \left(\sin \left(u \cdot normAngle\right) \cdot t_0\right) \cdot n1_i \end{array} \end{array} \]
(FPCore (normAngle u n0_i n1_i)
 :precision binary32
 (let* ((t_0 (/ 1.0 (sin normAngle))))
   (+
    (* (* (sin (* (- 1.0 u) normAngle)) t_0) n0_i)
    (* (* (sin (* u normAngle)) t_0) n1_i))))
float code(float normAngle, float u, float n0_i, float n1_i) {
	float t_0 = 1.0f / sinf(normAngle);
	return ((sinf(((1.0f - u) * normAngle)) * t_0) * n0_i) + ((sinf((u * normAngle)) * t_0) * n1_i);
}

real(4) function code(normangle, u, n0_i, n1_i)
    real(4), intent (in) :: normangle
    real(4), intent (in) :: u
    real(4), intent (in) :: n0_i
    real(4), intent (in) :: n1_i
    real(4) :: t_0
    t_0 = 1.0e0 / sin(normangle)
    code = ((sin(((1.0e0 - u) * normangle)) * t_0) * n0_i) + ((sin((u * normangle)) * t_0) * n1_i)
end function

function code(normAngle, u, n0_i, n1_i)
	t_0 = Float32(Float32(1.0) / sin(normAngle))
	return Float32(Float32(Float32(sin(Float32(Float32(Float32(1.0) - u) * normAngle)) * t_0) * n0_i) + Float32(Float32(sin(Float32(u * normAngle)) * t_0) * n1_i))
end

function tmp = code(normAngle, u, n0_i, n1_i)
	t_0 = single(1.0) / sin(normAngle);
	tmp = ((sin(((single(1.0) - u) * normAngle)) * t_0) * n0_i) + ((sin((u * normAngle)) * t_0) * n1_i);
end

\begin{array}{l}

\\
\begin{array}{l}
t_0 := \frac{1}{\sin normAngle}\\
\left(\sin \left(\left(1 - u\right) \cdot normAngle\right) \cdot t_0\right) \cdot n0_i + \left(\sin \left(u \cdot normAngle\right) \cdot t_0\right) \cdot n1_i
\end{array}
\end{array}

Sampling outcomes in binary32 precision:

Local Percentage Accuracy vs ?

The average percentage accuracy by input value. Horizontal axis shows value of an input variable; the variable is choosen in the title. Vertical axis is accuracy; higher is better. Red represent the original program, while blue represents Herbie's suggestion. These can be toggled with buttons below the plot. The line is an average while dots represent individual samples.

Accuracy vs Speed?

Herbie found 13 alternatives:

AlternativeAccuracySpeedup
The accuracy (vertical axis) and speed (horizontal axis) of each alternatives. Up and to the right is better. The red square shows the initial program, and each blue circle shows an alternative.The line shows the best available speed-accuracy tradeoffs.

Initial Program: 97.4% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{1}{\sin normAngle}\\ \left(\sin \left(\left(1 - u\right) \cdot normAngle\right) \cdot t_0\right) \cdot n0_i + \left(\sin \left(u \cdot normAngle\right) \cdot t_0\right) \cdot n1_i \end{array} \end{array} \]
(FPCore (normAngle u n0_i n1_i)
 :precision binary32
 (let* ((t_0 (/ 1.0 (sin normAngle))))
   (+
    (* (* (sin (* (- 1.0 u) normAngle)) t_0) n0_i)
    (* (* (sin (* u normAngle)) t_0) n1_i))))
float code(float normAngle, float u, float n0_i, float n1_i) {
	float t_0 = 1.0f / sinf(normAngle);
	return ((sinf(((1.0f - u) * normAngle)) * t_0) * n0_i) + ((sinf((u * normAngle)) * t_0) * n1_i);
}

real(4) function code(normangle, u, n0_i, n1_i)
    real(4), intent (in) :: normangle
    real(4), intent (in) :: u
    real(4), intent (in) :: n0_i
    real(4), intent (in) :: n1_i
    real(4) :: t_0
    t_0 = 1.0e0 / sin(normangle)
    code = ((sin(((1.0e0 - u) * normangle)) * t_0) * n0_i) + ((sin((u * normangle)) * t_0) * n1_i)
end function

function code(normAngle, u, n0_i, n1_i)
	t_0 = Float32(Float32(1.0) / sin(normAngle))
	return Float32(Float32(Float32(sin(Float32(Float32(Float32(1.0) - u) * normAngle)) * t_0) * n0_i) + Float32(Float32(sin(Float32(u * normAngle)) * t_0) * n1_i))
end

function tmp = code(normAngle, u, n0_i, n1_i)
	t_0 = single(1.0) / sin(normAngle);
	tmp = ((sin(((single(1.0) - u) * normAngle)) * t_0) * n0_i) + ((sin((u * normAngle)) * t_0) * n1_i);
end

\begin{array}{l}

\\
\begin{array}{l}
t_0 := \frac{1}{\sin normAngle}\\
\left(\sin \left(\left(1 - u\right) \cdot normAngle\right) \cdot t_0\right) \cdot n0_i + \left(\sin \left(u \cdot normAngle\right) \cdot t_0\right) \cdot n1_i
\end{array}
\end{array}

Alternative 1: 99.4% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \mathsf{fma}\left(u, \frac{n1_i}{\frac{\sin normAngle}{normAngle}} - \frac{n0_i}{\frac{\sin normAngle}{normAngle \cdot \cos normAngle}}, n0_i\right) \end{array} \]
(FPCore (normAngle u n0_i n1_i)
 :precision binary32
 (fma
  u
  (-
   (/ n1_i (/ (sin normAngle) normAngle))
   (/ n0_i (/ (sin normAngle) (* normAngle (cos normAngle)))))
  n0_i))
float code(float normAngle, float u, float n0_i, float n1_i) {
	return fmaf(u, ((n1_i / (sinf(normAngle) / normAngle)) - (n0_i / (sinf(normAngle) / (normAngle * cosf(normAngle))))), n0_i);
}

function code(normAngle, u, n0_i, n1_i)
	return fma(u, Float32(Float32(n1_i / Float32(sin(normAngle) / normAngle)) - Float32(n0_i / Float32(sin(normAngle) / Float32(normAngle * cos(normAngle))))), n0_i)
end

\begin{array}{l}

\\
\mathsf{fma}\left(u, \frac{n1_i}{\frac{\sin normAngle}{normAngle}} - \frac{n0_i}{\frac{\sin normAngle}{normAngle \cdot \cos normAngle}}, n0_i\right)
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 2: 98.9% accurate, 3.5× speedup?

\[\begin{array}{l} \\ n0_i + \left({normAngle}^{2} \cdot \left(u \cdot \left(n0_i \cdot 0.3333333333333333 + n1_i \cdot 0.16666666666666666\right)\right) + u \cdot \left(n1_i - n0_i\right)\right) \end{array} \]
(FPCore (normAngle u n0_i n1_i)
 :precision binary32
 (+
  n0_i
  (+
   (*
    (pow normAngle 2.0)
    (* u (+ (* n0_i 0.3333333333333333) (* n1_i 0.16666666666666666))))
   (* u (- n1_i n0_i)))))
float code(float normAngle, float u, float n0_i, float n1_i) {
	return n0_i + ((powf(normAngle, 2.0f) * (u * ((n0_i * 0.3333333333333333f) + (n1_i * 0.16666666666666666f)))) + (u * (n1_i - n0_i)));
}

real(4) function code(normangle, u, n0_i, n1_i)
    real(4), intent (in) :: normangle
    real(4), intent (in) :: u
    real(4), intent (in) :: n0_i
    real(4), intent (in) :: n1_i
    code = n0_i + (((normangle ** 2.0e0) * (u * ((n0_i * 0.3333333333333333e0) + (n1_i * 0.16666666666666666e0)))) + (u * (n1_i - n0_i)))
end function

function code(normAngle, u, n0_i, n1_i)
	return Float32(n0_i + Float32(Float32((normAngle ^ Float32(2.0)) * Float32(u * Float32(Float32(n0_i * Float32(0.3333333333333333)) + Float32(n1_i * Float32(0.16666666666666666))))) + Float32(u * Float32(n1_i - n0_i))))
end

function tmp = code(normAngle, u, n0_i, n1_i)
	tmp = n0_i + (((normAngle ^ single(2.0)) * (u * ((n0_i * single(0.3333333333333333)) + (n1_i * single(0.16666666666666666))))) + (u * (n1_i - n0_i)));
end

\begin{array}{l}

\\
n0_i + \left({normAngle}^{2} \cdot \left(u \cdot \left(n0_i \cdot 0.3333333333333333 + n1_i \cdot 0.16666666666666666\right)\right) + u \cdot \left(n1_i - n0_i\right)\right)
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 3: 98.7% accurate, 3.6× speedup?

\[\begin{array}{l} \\ n0_i + \left({normAngle}^{2} \cdot \left(u \cdot \left(n1_i \cdot 0.16666666666666666\right)\right) + u \cdot \left(n1_i - n0_i\right)\right) \end{array} \]
(FPCore (normAngle u n0_i n1_i)
 :precision binary32
 (+
  n0_i
  (+
   (* (pow normAngle 2.0) (* u (* n1_i 0.16666666666666666)))
   (* u (- n1_i n0_i)))))
float code(float normAngle, float u, float n0_i, float n1_i) {
	return n0_i + ((powf(normAngle, 2.0f) * (u * (n1_i * 0.16666666666666666f))) + (u * (n1_i - n0_i)));
}

real(4) function code(normangle, u, n0_i, n1_i)
    real(4), intent (in) :: normangle
    real(4), intent (in) :: u
    real(4), intent (in) :: n0_i
    real(4), intent (in) :: n1_i
    code = n0_i + (((normangle ** 2.0e0) * (u * (n1_i * 0.16666666666666666e0))) + (u * (n1_i - n0_i)))
end function

function code(normAngle, u, n0_i, n1_i)
	return Float32(n0_i + Float32(Float32((normAngle ^ Float32(2.0)) * Float32(u * Float32(n1_i * Float32(0.16666666666666666)))) + Float32(u * Float32(n1_i - n0_i))))
end

function tmp = code(normAngle, u, n0_i, n1_i)
	tmp = n0_i + (((normAngle ^ single(2.0)) * (u * (n1_i * single(0.16666666666666666)))) + (u * (n1_i - n0_i)));
end

\begin{array}{l}

\\
n0_i + \left({normAngle}^{2} \cdot \left(u \cdot \left(n1_i \cdot 0.16666666666666666\right)\right) + u \cdot \left(n1_i - n0_i\right)\right)
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 4: 98.7% accurate, 3.6× speedup?

\[\begin{array}{l} \\ n0_i + \left(n1_i \cdot \left(u + 0.16666666666666666 \cdot \left(u \cdot {normAngle}^{2}\right)\right) - u \cdot n0_i\right) \end{array} \]
(FPCore (normAngle u n0_i n1_i)
 :precision binary32
 (+
  n0_i
  (-
   (* n1_i (+ u (* 0.16666666666666666 (* u (pow normAngle 2.0)))))
   (* u n0_i))))
float code(float normAngle, float u, float n0_i, float n1_i) {
	return n0_i + ((n1_i * (u + (0.16666666666666666f * (u * powf(normAngle, 2.0f))))) - (u * n0_i));
}

real(4) function code(normangle, u, n0_i, n1_i)
    real(4), intent (in) :: normangle
    real(4), intent (in) :: u
    real(4), intent (in) :: n0_i
    real(4), intent (in) :: n1_i
    code = n0_i + ((n1_i * (u + (0.16666666666666666e0 * (u * (normangle ** 2.0e0))))) - (u * n0_i))
end function

function code(normAngle, u, n0_i, n1_i)
	return Float32(n0_i + Float32(Float32(n1_i * Float32(u + Float32(Float32(0.16666666666666666) * Float32(u * (normAngle ^ Float32(2.0)))))) - Float32(u * n0_i)))
end

function tmp = code(normAngle, u, n0_i, n1_i)
	tmp = n0_i + ((n1_i * (u + (single(0.16666666666666666) * (u * (normAngle ^ single(2.0)))))) - (u * n0_i));
end

\begin{array}{l}

\\
n0_i + \left(n1_i \cdot \left(u + 0.16666666666666666 \cdot \left(u \cdot {normAngle}^{2}\right)\right) - u \cdot n0_i\right)
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 5: 98.7% accurate, 3.7× speedup?

\[\begin{array}{l} \\ n0_i - u \cdot \left(n0_i - \left(n1_i + 0.16666666666666666 \cdot \left(n1_i \cdot {normAngle}^{2}\right)\right)\right) \end{array} \]
(FPCore (normAngle u n0_i n1_i)
 :precision binary32
 (-
  n0_i
  (*
   u
   (- n0_i (+ n1_i (* 0.16666666666666666 (* n1_i (pow normAngle 2.0))))))))
float code(float normAngle, float u, float n0_i, float n1_i) {
	return n0_i - (u * (n0_i - (n1_i + (0.16666666666666666f * (n1_i * powf(normAngle, 2.0f))))));
}

real(4) function code(normangle, u, n0_i, n1_i)
    real(4), intent (in) :: normangle
    real(4), intent (in) :: u
    real(4), intent (in) :: n0_i
    real(4), intent (in) :: n1_i
    code = n0_i - (u * (n0_i - (n1_i + (0.16666666666666666e0 * (n1_i * (normangle ** 2.0e0))))))
end function

function code(normAngle, u, n0_i, n1_i)
	return Float32(n0_i - Float32(u * Float32(n0_i - Float32(n1_i + Float32(Float32(0.16666666666666666) * Float32(n1_i * (normAngle ^ Float32(2.0))))))))
end

function tmp = code(normAngle, u, n0_i, n1_i)
	tmp = n0_i - (u * (n0_i - (n1_i + (single(0.16666666666666666) * (n1_i * (normAngle ^ single(2.0)))))));
end

\begin{array}{l}

\\
n0_i - u \cdot \left(n0_i - \left(n1_i + 0.16666666666666666 \cdot \left(n1_i \cdot {normAngle}^{2}\right)\right)\right)
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 6: 98.1% accurate, 4.0× speedup?

\[\begin{array}{l} \\ \mathsf{fma}\left(u, n1_i - n0_i, n0_i\right) \end{array} \]
(FPCore (normAngle u n0_i n1_i) :precision binary32 (fma u (- n1_i n0_i) n0_i))
float code(float normAngle, float u, float n0_i, float n1_i) {
	return fmaf(u, (n1_i - n0_i), n0_i);
}

function code(normAngle, u, n0_i, n1_i)
	return fma(u, Float32(n1_i - n0_i), n0_i)
end

\begin{array}{l}

\\
\mathsf{fma}\left(u, n1_i - n0_i, n0_i\right)
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 7: 70.7% accurate, 45.4× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;n0_i \leq -3.500000191654701 \cdot 10^{-27} \lor \neg \left(n0_i \leq 3.0000000817356035 \cdot 10^{-27}\right):\\ \;\;\;\;n0_i \cdot \left(1 - u\right)\\ \mathbf{else}:\\ \;\;\;\;u \cdot n1_i\\ \end{array} \end{array} \]
(FPCore (normAngle u n0_i n1_i)
 :precision binary32
 (if (or (<= n0_i -3.500000191654701e-27)
         (not (<= n0_i 3.0000000817356035e-27)))
   (* n0_i (- 1.0 u))
   (* u n1_i)))
float code(float normAngle, float u, float n0_i, float n1_i) {
	float tmp;
	if ((n0_i <= -3.500000191654701e-27f) || !(n0_i <= 3.0000000817356035e-27f)) {
		tmp = n0_i * (1.0f - u);
	} else {
		tmp = u * n1_i;
	}
	return tmp;
}

real(4) function code(normangle, u, n0_i, n1_i)
    real(4), intent (in) :: normangle
    real(4), intent (in) :: u
    real(4), intent (in) :: n0_i
    real(4), intent (in) :: n1_i
    real(4) :: tmp
    if ((n0_i <= (-3.500000191654701e-27)) .or. (.not. (n0_i <= 3.0000000817356035e-27))) then
        tmp = n0_i * (1.0e0 - u)
    else
        tmp = u * n1_i
    end if
    code = tmp
end function

function code(normAngle, u, n0_i, n1_i)
	tmp = Float32(0.0)
	if ((n0_i <= Float32(-3.500000191654701e-27)) || !(n0_i <= Float32(3.0000000817356035e-27)))
		tmp = Float32(n0_i * Float32(Float32(1.0) - u));
	else
		tmp = Float32(u * n1_i);
	end
	return tmp
end

function tmp_2 = code(normAngle, u, n0_i, n1_i)
	tmp = single(0.0);
	if ((n0_i <= single(-3.500000191654701e-27)) || ~((n0_i <= single(3.0000000817356035e-27))))
		tmp = n0_i * (single(1.0) - u);
	else
		tmp = u * n1_i;
	end
	tmp_2 = tmp;
end

\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;n0_i \leq -3.500000191654701 \cdot 10^{-27} \lor \neg \left(n0_i \leq 3.0000000817356035 \cdot 10^{-27}\right):\\
\;\;\;\;n0_i \cdot \left(1 - u\right)\\

\mathbf{else}:\\
\;\;\;\;u \cdot n1_i\\


\end{array}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 8: 98.0% accurate, 46.8× speedup?

\[\begin{array}{l} \\ n0_i + \left(u \cdot n1_i - u \cdot n0_i\right) \end{array} \]
(FPCore (normAngle u n0_i n1_i)
 :precision binary32
 (+ n0_i (- (* u n1_i) (* u n0_i))))
float code(float normAngle, float u, float n0_i, float n1_i) {
	return n0_i + ((u * n1_i) - (u * n0_i));
}

real(4) function code(normangle, u, n0_i, n1_i)
    real(4), intent (in) :: normangle
    real(4), intent (in) :: u
    real(4), intent (in) :: n0_i
    real(4), intent (in) :: n1_i
    code = n0_i + ((u * n1_i) - (u * n0_i))
end function

function code(normAngle, u, n0_i, n1_i)
	return Float32(n0_i + Float32(Float32(u * n1_i) - Float32(u * n0_i)))
end

function tmp = code(normAngle, u, n0_i, n1_i)
	tmp = n0_i + ((u * n1_i) - (u * n0_i));
end

\begin{array}{l}

\\
n0_i + \left(u \cdot n1_i - u \cdot n0_i\right)
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 9: 59.7% accurate, 58.1× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;n0_i \leq -5.000000229068525 \cdot 10^{-19}:\\ \;\;\;\;n0_i\\ \mathbf{elif}\;n0_i \leq 3.0000000817356035 \cdot 10^{-27}:\\ \;\;\;\;u \cdot n1_i\\ \mathbf{else}:\\ \;\;\;\;n0_i\\ \end{array} \end{array} \]
(FPCore (normAngle u n0_i n1_i)
 :precision binary32
 (if (<= n0_i -5.000000229068525e-19)
   n0_i
   (if (<= n0_i 3.0000000817356035e-27) (* u n1_i) n0_i)))
float code(float normAngle, float u, float n0_i, float n1_i) {
	float tmp;
	if (n0_i <= -5.000000229068525e-19f) {
		tmp = n0_i;
	} else if (n0_i <= 3.0000000817356035e-27f) {
		tmp = u * n1_i;
	} else {
		tmp = n0_i;
	}
	return tmp;
}

real(4) function code(normangle, u, n0_i, n1_i)
    real(4), intent (in) :: normangle
    real(4), intent (in) :: u
    real(4), intent (in) :: n0_i
    real(4), intent (in) :: n1_i
    real(4) :: tmp
    if (n0_i <= (-5.000000229068525e-19)) then
        tmp = n0_i
    else if (n0_i <= 3.0000000817356035e-27) then
        tmp = u * n1_i
    else
        tmp = n0_i
    end if
    code = tmp
end function

function code(normAngle, u, n0_i, n1_i)
	tmp = Float32(0.0)
	if (n0_i <= Float32(-5.000000229068525e-19))
		tmp = n0_i;
	elseif (n0_i <= Float32(3.0000000817356035e-27))
		tmp = Float32(u * n1_i);
	else
		tmp = n0_i;
	end
	return tmp
end

function tmp_2 = code(normAngle, u, n0_i, n1_i)
	tmp = single(0.0);
	if (n0_i <= single(-5.000000229068525e-19))
		tmp = n0_i;
	elseif (n0_i <= single(3.0000000817356035e-27))
		tmp = u * n1_i;
	else
		tmp = n0_i;
	end
	tmp_2 = tmp;
end

\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;n0_i \leq -5.000000229068525 \cdot 10^{-19}:\\
\;\;\;\;n0_i\\

\mathbf{elif}\;n0_i \leq 3.0000000817356035 \cdot 10^{-27}:\\
\;\;\;\;u \cdot n1_i\\

\mathbf{else}:\\
\;\;\;\;n0_i\\


\end{array}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 10: 83.3% accurate, 59.1× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;n0_i \leq -9.99999983775159 \cdot 10^{-18}:\\ \;\;\;\;n0_i \cdot \left(1 - u\right)\\ \mathbf{else}:\\ \;\;\;\;n0_i + u \cdot n1_i\\ \end{array} \end{array} \]
(FPCore (normAngle u n0_i n1_i)
 :precision binary32
 (if (<= n0_i -9.99999983775159e-18) (* n0_i (- 1.0 u)) (+ n0_i (* u n1_i))))
float code(float normAngle, float u, float n0_i, float n1_i) {
	float tmp;
	if (n0_i <= -9.99999983775159e-18f) {
		tmp = n0_i * (1.0f - u);
	} else {
		tmp = n0_i + (u * n1_i);
	}
	return tmp;
}

real(4) function code(normangle, u, n0_i, n1_i)
    real(4), intent (in) :: normangle
    real(4), intent (in) :: u
    real(4), intent (in) :: n0_i
    real(4), intent (in) :: n1_i
    real(4) :: tmp
    if (n0_i <= (-9.99999983775159e-18)) then
        tmp = n0_i * (1.0e0 - u)
    else
        tmp = n0_i + (u * n1_i)
    end if
    code = tmp
end function

function code(normAngle, u, n0_i, n1_i)
	tmp = Float32(0.0)
	if (n0_i <= Float32(-9.99999983775159e-18))
		tmp = Float32(n0_i * Float32(Float32(1.0) - u));
	else
		tmp = Float32(n0_i + Float32(u * n1_i));
	end
	return tmp
end

function tmp_2 = code(normAngle, u, n0_i, n1_i)
	tmp = single(0.0);
	if (n0_i <= single(-9.99999983775159e-18))
		tmp = n0_i * (single(1.0) - u);
	else
		tmp = n0_i + (u * n1_i);
	end
	tmp_2 = tmp;
end

\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;n0_i \leq -9.99999983775159 \cdot 10^{-18}:\\
\;\;\;\;n0_i \cdot \left(1 - u\right)\\

\mathbf{else}:\\
\;\;\;\;n0_i + u \cdot n1_i\\


\end{array}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 11: 83.4% accurate, 59.1× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;n0_i \leq -9.99999983775159 \cdot 10^{-18}:\\ \;\;\;\;n0_i - u \cdot n0_i\\ \mathbf{else}:\\ \;\;\;\;n0_i + u \cdot n1_i\\ \end{array} \end{array} \]
(FPCore (normAngle u n0_i n1_i)
 :precision binary32
 (if (<= n0_i -9.99999983775159e-18) (- n0_i (* u n0_i)) (+ n0_i (* u n1_i))))
float code(float normAngle, float u, float n0_i, float n1_i) {
	float tmp;
	if (n0_i <= -9.99999983775159e-18f) {
		tmp = n0_i - (u * n0_i);
	} else {
		tmp = n0_i + (u * n1_i);
	}
	return tmp;
}

real(4) function code(normangle, u, n0_i, n1_i)
    real(4), intent (in) :: normangle
    real(4), intent (in) :: u
    real(4), intent (in) :: n0_i
    real(4), intent (in) :: n1_i
    real(4) :: tmp
    if (n0_i <= (-9.99999983775159e-18)) then
        tmp = n0_i - (u * n0_i)
    else
        tmp = n0_i + (u * n1_i)
    end if
    code = tmp
end function

function code(normAngle, u, n0_i, n1_i)
	tmp = Float32(0.0)
	if (n0_i <= Float32(-9.99999983775159e-18))
		tmp = Float32(n0_i - Float32(u * n0_i));
	else
		tmp = Float32(n0_i + Float32(u * n1_i));
	end
	return tmp
end

function tmp_2 = code(normAngle, u, n0_i, n1_i)
	tmp = single(0.0);
	if (n0_i <= single(-9.99999983775159e-18))
		tmp = n0_i - (u * n0_i);
	else
		tmp = n0_i + (u * n1_i);
	end
	tmp_2 = tmp;
end

\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;n0_i \leq -9.99999983775159 \cdot 10^{-18}:\\
\;\;\;\;n0_i - u \cdot n0_i\\

\mathbf{else}:\\
\;\;\;\;n0_i + u \cdot n1_i\\


\end{array}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 12: 98.0% accurate, 60.1× speedup?

\[\begin{array}{l} \\ n0_i + u \cdot \left(n1_i - n0_i\right) \end{array} \]
(FPCore (normAngle u n0_i n1_i)
 :precision binary32
 (+ n0_i (* u (- n1_i n0_i))))
float code(float normAngle, float u, float n0_i, float n1_i) {
	return n0_i + (u * (n1_i - n0_i));
}

real(4) function code(normangle, u, n0_i, n1_i)
    real(4), intent (in) :: normangle
    real(4), intent (in) :: u
    real(4), intent (in) :: n0_i
    real(4), intent (in) :: n1_i
    code = n0_i + (u * (n1_i - n0_i))
end function

function code(normAngle, u, n0_i, n1_i)
	return Float32(n0_i + Float32(u * Float32(n1_i - n0_i)))
end

function tmp = code(normAngle, u, n0_i, n1_i)
	tmp = n0_i + (u * (n1_i - n0_i));
end

\begin{array}{l}

\\
n0_i + u \cdot \left(n1_i - n0_i\right)
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 13: 46.8% accurate, 421.0× speedup?

\[\begin{array}{l} \\ n0_i \end{array} \]
(FPCore (normAngle u n0_i n1_i) :precision binary32 n0_i)
float code(float normAngle, float u, float n0_i, float n1_i) {
	return n0_i;
}

real(4) function code(normangle, u, n0_i, n1_i)
    real(4), intent (in) :: normangle
    real(4), intent (in) :: u
    real(4), intent (in) :: n0_i
    real(4), intent (in) :: n1_i
    code = n0_i
end function

function code(normAngle, u, n0_i, n1_i)
	return n0_i
end

function tmp = code(normAngle, u, n0_i, n1_i)
	tmp = n0_i;
end

\begin{array}{l}

\\
n0_i
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Reproduce

?
herbie shell --seed 2023350 
(FPCore (normAngle u n0_i n1_i)
  :name "Curve intersection, scale width based on ribbon orientation"
  :precision binary32
  :pre (and (and (and (and (<= 0.0 normAngle) (<= normAngle (/ PI 2.0))) (and (<= -1.0 n0_i) (<= n0_i 1.0))) (and (<= -1.0 n1_i) (<= n1_i 1.0))) (and (<= 2.328306437e-10 u) (<= u 1.0)))
  (+ (* (* (sin (* (- 1.0 u) normAngle)) (/ 1.0 (sin normAngle))) n0_i) (* (* (sin (* u normAngle)) (/ 1.0 (sin normAngle))) n1_i)))