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求多维函数极值的一种算法，由Nelder和Mead提出，又叫单纯形算法，但和线性规划中的单纯形算法是不同的，由于未利用任何求导运算，算法比较简单，但收敛速度较慢，适合变元数不是很多的方程求极值-Multi-dimensional function extremum seeking an algorithm proposed by Nelder and Mead, also called the simplex algorithm, but in the linear programming si
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nelder_mead优化算法，求多维函数极值的一种算法，不利用任何求导。利用多面体逼近。-nelder_mead optimization algorithm, and a multi-dimensional function extremum algorithm, do not use any derivation. The use of polyhedral approximation.
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optimization nelder powe-optimization nelder powell
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Nelder Mead simplex algorithm for minimizing N-dimension const function
Copyright (C) 2008 Colin Caprani - www.colincaprani.com
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General P
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The shuffled complex evolution with principal components analysis–University of California at Irvine (SP-UCI) method is a global optimization algorithm designed for high-dimensional and complex problems. It is based on the Shuffled Complex Evolution
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In this paper, the design of fractional-order PID controller is considered in order to minimize certain performance indices such as integral absolute error, integral square error and integral time absolute error. The design-construction leads to a hi
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presents convergence properties of the Nelder{Mead algorithm applied to strictly convex
functions in dimensions 1 and 2. We prove convergence to a minimizer for dimension 1, and various
limited convergence results for dimension 2.
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