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  2. Plotting algorithms for the Mandelbrot set - Wikipedia

    en.wikipedia.org/wiki/Plotting_algorithms_for...

    If this value exceeds 2, or equivalently, when the sum of the squares of the real and imaginary parts exceed 4, the point has reached escape. More computationally intensive rendering variations include the Buddhabrot method, which finds escaping points and plots their iterated coordinates.

  3. Ikeda map - Wikipedia

    en.wikipedia.org/wiki/Ikeda_map

    import math import matplotlib.pyplot as plt import numpy as np def main (u: float, points = 200, iterations = 1000, nlim = 20, limit = False, title = True): """ Args: u:float ikeda parameter points:int number of starting points iterations:int number of iterations nlim:int plot these many last points for 'limit' option. Will plot all points if ...

  4. Indicator function - Wikipedia

    en.wikipedia.org/wiki/Indicator_function

    In classical mathematics, characteristic functions of sets only take values 1 (members) or 0 (non-members). In fuzzy set theory, characteristic functions are generalized to take value in the real unit interval [0, 1], or more generally, in some algebra or structure (usually required to be at least a poset or lattice).

  5. MATLAB - Wikipedia

    en.wikipedia.org/wiki/MATLAB

    MATLAB (an abbreviation of "MATrix LABoratory" [18]) is a proprietary multi-paradigm programming language and numeric computing environment developed by MathWorks.MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages.

  6. Julia set - Wikipedia

    en.wikipedia.org/wiki/Julia_set

    For all but at most two points , the Julia set is the set of limit points of the full backwards orbit (). (This suggests a simple algorithm for plotting Julia sets, see below.) If f is an entire function , then J ⁡ ( f ) {\displaystyle \operatorname {J} (f)} is the boundary of the set of points which converge to infinity under iteration.

  7. Curve fitting - Wikipedia

    en.wikipedia.org/wiki/Curve_fitting

    Curve fitting [1] [2] is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points, [3] possibly subject to constraints. [ 4 ] [ 5 ] Curve fitting can involve either interpolation , [ 6 ] [ 7 ] where an exact fit to the data is required, or smoothing , [ 8 ] [ 9 ] in which a "smooth ...

  8. Graph of a function - Wikipedia

    en.wikipedia.org/wiki/Graph_of_a_function

    Given a function: from a set X (the domain) to a set Y (the codomain), the graph of the function is the set [4] = {(, ()):}, which is a subset of the Cartesian product.In the definition of a function in terms of set theory, it is common to identify a function with its graph, although, formally, a function is formed by the triple consisting of its domain, its codomain and its graph.

  9. Signed distance function - Wikipedia

    en.wikipedia.org/wiki/Signed_distance_function

    The function has positive values at points x inside Ω, it decreases in value as x approaches the boundary of Ω where the signed distance function is zero, and it takes negative values outside of Ω. [1] However, the alternative convention is also sometimes taken instead (i.e., negative inside Ω and positive outside). [2]