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variational approximation

См. также в других словарях:

  • Variational Bayesian methods — Variational Bayesian methods, also called ensemble learning, are a family of techniques for approximating intractable integrals arising in Bayesian statistics and machine learning. They can be used to lower bound the marginal likelihood (i.e.… …   Wikipedia

  • Variational message passing — (VMP) is an approximate inference technique for continuous valued Bayesian networks, with conjugate exponential parents, developed by John Winn in his PhD thesis. John Winn is now at Microsoft Research. VMP was developed as a means of… …   Wikipedia

  • Variational Monte Carlo — Variational Monte Carlo(VMC) is a quantum Monte Carlo method that applies the variational method to approximate the ground state of the system. The expectation value necessary can be written in the x representation as frac{langle Psi(a) | H |… …   Wikipedia

  • Boussinesq approximation (water waves) — In fluid dynamics, the Boussinesq approximation for water waves is an approximation valid for weakly non linear and fairly long waves. The approximation is named after Joseph Boussinesq, who first derived them in response to the observation by… …   Wikipedia

  • Muffin-tin approximation — Electronic structure methods Tight binding Nearly free electron model Hartree–Fock method Modern valence bond Generalized valence bond Møller–Plesset perturbation theory …   Wikipedia

  • Coherent potential approximation — The coherent potential approximation (or CPA) is a method, in physics, of finding the Green s function of an effective medium. It is a useful concept in understanding how waves scatter in a material which displays spatial inhomogeneity. One… …   Wikipedia

  • Expectation-maximization algorithm — An expectation maximization (EM) algorithm is used in statistics for finding maximum likelihood estimates of parameters in probabilistic models, where the model depends on unobserved latent variables. EM alternates between performing an… …   Wikipedia

  • Gross–Pitaevskii equation — The Gross–Pitaevskii equation is a nonlinear model equation for the order parameter or wavefunction of a Bose–Einstein condensate. It is similar in form to the Ginzburg–Landau equation and is sometimes referred to as a nonlinear Schrödinger… …   Wikipedia

  • Ansatz — In physics and mathematics, an ansatz (Ger., anset, onset ; today, setup ; plural: Ansätze) is an educated guess that is verified later by its results. An ansatz is the establishment of the starting equation(s) describing a mathematical or… …   Wikipedia

  • List of numerical analysis topics — This is a list of numerical analysis topics, by Wikipedia page. Contents 1 General 2 Error 3 Elementary and special functions 4 Numerical linear algebra …   Wikipedia

  • Hartree-Fock — In computational physics and computational chemistry, the Hartree Fock (HF) method is an approximate method for the determination of the ground state wavefunction and ground state energy of a quantum many body system.The Hartree Fock method… …   Wikipedia

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