iteration step
1Arnoldi iteration — In numerical linear algebra, the Arnoldi iteration is an eigenvalue algorithm and an important example of iterative methods. Arnoldi finds the eigenvalues of general (possibly non Hermitian) matrices; an analogous method for Hermitian matrices is …
2Inverse iteration — In numerical analysis, inverse iteration is an iterative eigenvalue algorithm. Based on the power method, this method improves on its performance. Whereas the power method always converges to the largest eigenvalue, inverse iteration also enables …
3CMA-ES — stands for Covariance Matrix Adaptation Evolution Strategy. Evolution strategies (ES) are stochastic, derivative free methods for numerical optimization of non linear or non convex continuous optimization problems. They belong to the class of… …
4Iterative and incremental development — is a cyclic software development process developed in response to the weaknesses of the waterfall model. It is an essential part of the Rational Unified Process, the Dynamic Systems Development Method, Extreme Programming and generally the agile… …
5Levenberg–Marquardt algorithm — In mathematics and computing, the Levenberg–Marquardt algorithm (LMA)[1] provides a numerical solution to the problem of minimizing a function, generally nonlinear, over a space of parameters of the function. These minimization problems arise… …
63DNow! — is the trade name of a multimedia extension created by AMD for its processors, starting with the K6 2 in 1998. It is an addition of SIMD instructions to the traditional x86 instruction set, designed to improve a CPU s ability to perform the… …
7Iterative proportional fitting — The iterative proportional fitting procedure (IPFP, also known as biproportional fitting in statistics, RAS algorithm[1] in economics and matrix raking or matrix scaling in computer science) is an iterative algorithm for estimating cell values of …
8Cooperative optimization — is a global optimization method invented by chinese mathematician Xiao Fei Huang, that can solve real world NP hard optimization problems (up to millions of variables) with outstanding performances and unprecedented speeds. It knows whether a… …
9Square root of a matrix — In mathematics, the square root of a matrix extends the notion of square root from numbers to matrices. A matrix B is said to be a square root of A if the matrix product B · B is equal to A.[1] Contents 1 Properties 2 Computation methods …
10Monte Carlo method in statistical physics — Monte Carlo in statistical physics refers to the application of the Monte Carlo method to problems in statistical physics, or statistical mechanics. Contents 1 Overview 2 Importance sampling 2.1 Canonical …
