Math FPCore C Java Python Julia MATLAB Wolfram TeX \[\left|\left(ew \cdot \cos t\right) \cdot \cos \tan^{-1} \left(\frac{\left(-eh\right) \cdot \tan t}{ew}\right) - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{\left(-eh\right) \cdot \tan t}{ew}\right)\right|
\]
↓
\[\left|\left(ew \cdot \cos t\right) \cdot \frac{1}{\mathsf{hypot}\left(1, \frac{\tan t}{\frac{ew}{eh}}\right)} - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{\tan t \cdot \left(-eh\right)}{ew}\right)\right|
\]
(FPCore (eh ew t)
:precision binary64
(fabs
(-
(* (* ew (cos t)) (cos (atan (/ (* (- eh) (tan t)) ew))))
(* (* eh (sin t)) (sin (atan (/ (* (- eh) (tan t)) ew))))))) ↓
(FPCore (eh ew t)
:precision binary64
(fabs
(-
(* (* ew (cos t)) (/ 1.0 (hypot 1.0 (/ (tan t) (/ ew eh)))))
(* (* eh (sin t)) (sin (atan (/ (* (tan t) (- eh)) ew))))))) double code(double eh, double ew, double t) {
return fabs((((ew * cos(t)) * cos(atan(((-eh * tan(t)) / ew)))) - ((eh * sin(t)) * sin(atan(((-eh * tan(t)) / ew))))));
}
↓
double code(double eh, double ew, double t) {
return fabs((((ew * cos(t)) * (1.0 / hypot(1.0, (tan(t) / (ew / eh))))) - ((eh * sin(t)) * sin(atan(((tan(t) * -eh) / ew))))));
}
public static double code(double eh, double ew, double t) {
return Math.abs((((ew * Math.cos(t)) * Math.cos(Math.atan(((-eh * Math.tan(t)) / ew)))) - ((eh * Math.sin(t)) * Math.sin(Math.atan(((-eh * Math.tan(t)) / ew))))));
}
↓
public static double code(double eh, double ew, double t) {
return Math.abs((((ew * Math.cos(t)) * (1.0 / Math.hypot(1.0, (Math.tan(t) / (ew / eh))))) - ((eh * Math.sin(t)) * Math.sin(Math.atan(((Math.tan(t) * -eh) / ew))))));
}
def code(eh, ew, t):
return math.fabs((((ew * math.cos(t)) * math.cos(math.atan(((-eh * math.tan(t)) / ew)))) - ((eh * math.sin(t)) * math.sin(math.atan(((-eh * math.tan(t)) / ew))))))
↓
def code(eh, ew, t):
return math.fabs((((ew * math.cos(t)) * (1.0 / math.hypot(1.0, (math.tan(t) / (ew / eh))))) - ((eh * math.sin(t)) * math.sin(math.atan(((math.tan(t) * -eh) / ew))))))
function code(eh, ew, t)
return abs(Float64(Float64(Float64(ew * cos(t)) * cos(atan(Float64(Float64(Float64(-eh) * tan(t)) / ew)))) - Float64(Float64(eh * sin(t)) * sin(atan(Float64(Float64(Float64(-eh) * tan(t)) / ew))))))
end
↓
function code(eh, ew, t)
return abs(Float64(Float64(Float64(ew * cos(t)) * Float64(1.0 / hypot(1.0, Float64(tan(t) / Float64(ew / eh))))) - Float64(Float64(eh * sin(t)) * sin(atan(Float64(Float64(tan(t) * Float64(-eh)) / ew))))))
end
function tmp = code(eh, ew, t)
tmp = abs((((ew * cos(t)) * cos(atan(((-eh * tan(t)) / ew)))) - ((eh * sin(t)) * sin(atan(((-eh * tan(t)) / ew))))));
end
↓
function tmp = code(eh, ew, t)
tmp = abs((((ew * cos(t)) * (1.0 / hypot(1.0, (tan(t) / (ew / eh))))) - ((eh * sin(t)) * sin(atan(((tan(t) * -eh) / ew))))));
end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision] * N[Cos[N[ArcTan[N[(N[((-eh) * N[Tan[t], $MachinePrecision]), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[N[(N[((-eh) * N[Tan[t], $MachinePrecision]), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
↓
code[eh_, ew_, t_] := N[Abs[N[(N[(N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Sqrt[1.0 ^ 2 + N[(N[Tan[t], $MachinePrecision] / N[(ew / eh), $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[N[(N[(N[Tan[t], $MachinePrecision] * (-eh)), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\left|\left(ew \cdot \cos t\right) \cdot \cos \tan^{-1} \left(\frac{\left(-eh\right) \cdot \tan t}{ew}\right) - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{\left(-eh\right) \cdot \tan t}{ew}\right)\right|
↓
\left|\left(ew \cdot \cos t\right) \cdot \frac{1}{\mathsf{hypot}\left(1, \frac{\tan t}{\frac{ew}{eh}}\right)} - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{\tan t \cdot \left(-eh\right)}{ew}\right)\right|
Alternatives Alternative 1 Accuracy 99.8% Cost 52672
\[\left|\left(ew \cdot \cos t\right) \cdot \frac{1}{\mathsf{hypot}\left(1, \frac{\tan t}{\frac{ew}{eh}}\right)} - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{\tan t \cdot \left(-eh\right)}{ew}\right)\right|
\]
Alternative 2 Accuracy 98.8% Cost 52608
\[\begin{array}{l}
t_1 := \frac{\tan t}{\frac{ew}{eh}}\\
\left|\left(ew \cdot \cos t\right) \cdot \frac{1}{\mathsf{hypot}\left(1, t_1\right)} - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} t_1\right|
\end{array}
\]
Alternative 3 Accuracy 99.0% Cost 46272
\[\left|\left(ew \cdot \cos t\right) \cdot \frac{1}{\mathsf{hypot}\left(1, \frac{\tan t}{\frac{ew}{eh}}\right)} - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{t \cdot \left(-eh\right)}{ew}\right)\right|
\]
Alternative 4 Accuracy 98.6% Cost 46208
\[\left|\left(ew \cdot \cos t\right) \cdot \frac{1}{\mathsf{hypot}\left(1, \frac{\tan t}{\frac{ew}{eh}}\right)} - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{t \cdot eh}{ew}\right)\right|
\]
Alternative 5 Accuracy 90.1% Cost 46144
\[\begin{array}{l}
t_1 := \tan^{-1} \left(\frac{t \cdot \left(-eh\right)}{ew}\right)\\
\left|\left(ew \cdot \cos t\right) \cdot \cos t_1 - \left(eh \cdot \sin t\right) \cdot \sin t_1\right|
\end{array}
\]
Alternative 6 Accuracy 89.5% Cost 39808
\[\begin{array}{l}
t_1 := \frac{t \cdot eh}{ew}\\
\left|\left(ew \cdot \cos t\right) \cdot \frac{1}{\mathsf{hypot}\left(1, t_1\right)} - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} t_1\right|
\end{array}
\]
Alternative 7 Accuracy 79.8% Cost 39744
\[\left|ew \cdot \frac{1}{\mathsf{hypot}\left(1, \frac{\tan t}{\frac{ew}{eh}}\right)} - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{t \cdot \left(-eh\right)}{ew}\right)\right|
\]
Alternative 8 Accuracy 79.4% Cost 39680
\[\left|ew \cdot \frac{1}{\mathsf{hypot}\left(1, \frac{\tan t}{\frac{ew}{eh}}\right)} - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{t \cdot eh}{ew}\right)\right|
\]
Alternative 9 Accuracy 78.8% Cost 39552
\[\left|ew \cdot \cos \tan^{-1} \left(eh \cdot \frac{t}{ew}\right) - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{t \cdot \left(-eh\right)}{ew}\right)\right|
\]
Alternative 10 Accuracy 78.5% Cost 33344
\[\left|ew \cdot \frac{1}{\mathsf{hypot}\left(1, eh \cdot \frac{t}{ew}\right)} - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{t \cdot \left(-eh\right)}{ew}\right)\right|
\]
Alternative 11 Accuracy 78.5% Cost 33344
\[\left|\left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{t \cdot \left(-eh\right)}{ew}\right) + ew \cdot \frac{-1}{\mathsf{hypot}\left(1, t \cdot \frac{eh}{ew}\right)}\right|
\]
Alternative 12 Accuracy 55.1% Cost 33216
\[\begin{array}{l}
t_1 := \tan^{-1} \left(\frac{t \cdot \left(-eh\right)}{ew}\right)\\
\left|ew \cdot \cos t_1 - \left(t \cdot eh\right) \cdot \sin t_1\right|
\end{array}
\]