variational approach

variational approach
мат. вариационный подход

Большой англо-русский и русско-английский словарь. 2001.

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  • 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 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

  • Schwinger's variational principle — In Schwinger s variational approach to quantum field theory, introduced by Julian Schwinger, the quantum action is an operator. Although this approachis superficially different from the functional integral(path integral) where the action is a… …   Wikipedia

  • History of variational principles in physics — A variational principle in physics is an alternative method for determining the state or dynamics of a physical system, by identifying it as an extremum (minimum, maximum or saddle point) of a function or functional. This article describes the… …   Wikipedia

  • Luke's variational principle — In fluid dynamics, Luke s variational principle is a Lagrangian variational description of the motion of surface waves on a fluid with a free surface, under the action of gravity. This principle is named after J.C. Luke, who published it in 1967 …   Wikipedia

  • Einstellung effect — Einstellung is the creation of a mechanized state of mind. Often called a problem solving set, Einstellung refers to a person s predisposition to solve a given problem in a specific manner even though there are better or more appropriate methods… …   Wikipedia

  • solids, mechanics of — ▪ physics Introduction       science concerned with the stressing (stress), deformation (deformation and flow), and failure of solid materials and structures.       What, then, is a solid? Any material, fluid or solid, can support normal forces.… …   Universalium

  • Data assimilation — Applications of data assimilation arise in many fields of geosciences, perhaps most importantly in weather forecasting and hydrology. Data assimilation proceeds by analysis cycles. In each analysis cycle, observations of the current (and possibly …   Wikipedia

  • Micromechanics — (or, more precisely, micromechanics of materials) is the analysis of composite or heterogeneous materials on the level of the individual constituents that constitute these materials. Contents 1 Aims of micromechanics of materials 2 Analytical… …   Wikipedia

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

  • One-shot learning — is an object categorization problem of current research interest in computer vision. Whereas most machine learning based object categorization algorithms require training on hundreds or thousands of images and very large datasets, one shot… …   Wikipedia


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