Showing content from https://circuitpython.readthedocs.io/en/latest/shared-bindings/ulab/scipy/optimize/index.html below:
ulab.scipy.optimize — Adafruit CircuitPython 1 documentation
Adafruit CircuitPython ulab.scipy.optimize
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ulab.scipy.optimize.bisect(fun: Callable[[float], float], a: float, b: float, *, xtol: float = 2.4e-07, maxiter: int = 100) → float
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Parameters:
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f (callable) – The function to bisect
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a (float) – The left side of the interval
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b (float) – The right side of the interval
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xtol (float) – The tolerance value
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maxiter (float) – The maximum number of iterations to perform
Find a solution (zero) of the function f(x) on the interval (a..``b``) using the bisection method. The result is accurate to within xtol unless more than maxiter steps are required.
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ulab.scipy.optimize.fmin(fun: Callable[[float], float], x0: float, *, xatol: float = 2.4e-07, fatol: float = 2.4e-07, maxiter: int = 200) → float
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Parameters:
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f (callable) – The function to bisect
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x0 (float) – The initial x value
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xatol (float) – The absolute tolerance value
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fatol (float) – The relative tolerance value
Find a minimum of the function f(x) using the downhill simplex method. The located x is within fxtol of the actual minimum, and f(x) is within fatol of the actual minimum unless more than maxiter steps are requried.
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ulab.scipy.optimize.newton(fun: Callable[[float], float], x0: float, *, xtol: float = 2.4e-07, rtol: float = 0.0, maxiter: int = 50) → float
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Parameters:
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f (callable) – The function to bisect
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x0 (float) – The initial x value
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xtol (float) – The absolute tolerance value
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rtol (float) – The relative tolerance value
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maxiter (float) – The maximum number of iterations to perform
Find a solution (zero) of the function f(x) using Newton’s Method. The result is accurate to within xtol * rtol * |f(x)| unless more than maxiter steps are requried.
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