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  2. Cauchy's integral theorem - Wikipedia

    en.wikipedia.org/wiki/Cauchy's_integral_theorem

    One important consequence of the theorem is that path integrals of holomorphic functions on simply connected domains can be computed in a manner familiar from the fundamental theorem of calculus: let be a simply connected open subset of , let : be a holomorphic function, and let be a piecewise continuously differentiable path in with start ...

  3. Milne-Thomson method for finding a holomorphic function

    en.wikipedia.org/wiki/Milne-Thomson_method_for...

    In mathematics, the Milne-Thomson method is a method for finding a holomorphic function whose real or imaginary part is given. [1] It is named after Louis Melville Milne-Thomson . Introduction

  4. Zeros and poles - Wikipedia

    en.wikipedia.org/wiki/Zeros_and_poles

    Technically, a point z 0 is a pole of a function f if it is a zero of the function 1/f and 1/f is holomorphic (i.e. complex differentiable) in some neighbourhood of z 0. A function f is meromorphic in an open set U if for every point z of U there is a neighborhood of z in which at least one of f and 1/f is holomorphic.

  5. Removable singularity - Wikipedia

    en.wikipedia.org/wiki/Removable_singularity

    A holomorphic function's singularity is either not really a singularity at all, i.e. a removable singularity, or one of the following two types: In light of Riemann's theorem, given a non-removable singularity, one might ask whether there exists a natural number m {\displaystyle m} such that lim z → a ( z − a ) m + 1 f ( z ) = 0 ...

  6. Newton's method - Wikipedia

    en.wikipedia.org/wiki/Newton's_method

    The following is an example of a possible implementation of Newton's method in the Python (version 3.x) programming language for finding a root of a function f which has derivative f_prime. The initial guess will be x 0 = 1 and the function will be f ( x ) = x 2 − 2 so that f ′ ( x ) = 2 x .

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  8. Brent's method - Wikipedia

    en.wikipedia.org/wiki/Brent's_method

    Function minimization at minima.hpp with an example locating function minima. Root finding implements the newer TOMS748, a more modern and efficient algorithm than Brent's original, at TOMS748, and Boost.Math rooting finding that uses TOMS748 internally with examples. The Optim.jl package implements the algorithm in Julia (programming language)

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