stochastic approximation
1Stochastic approximation — methods are a family of iterative stochastic optimization algorithms that attempt to find zeroes or extrema of functions which cannot be computed directly, but only estimated via noisy observations. The first, and prototypical, algorithms of this …
2stochastic approximation — tikimybinė aproksimacija statusas T sritis automatika atitikmenys: angl. stochastic approximation vok. stochastische Approximation rus. стохастическая аппроксимация, f pranc. approximation stochastique, f ryšiai: sinonimas – stochastinė… …
3Stochastic optimization — (SO) methods are optimization algorithms which incorporate probabilistic (random) elements, either in the problem data (the objective function, the constraints, etc.), or in the algorithm itself (through random parameter values, random choices,… …
4Stochastic gradient descent — is a general optimization algorithm, but is typically used to fit the parameters of a machine learning model.In standard (or batch ) gradient descent, the true gradient is used to update the parameters of the model. The true gradient is usually… …
5approximation stochastique — tikimybinė aproksimacija statusas T sritis automatika atitikmenys: angl. stochastic approximation vok. stochastische Approximation rus. стохастическая аппроксимация, f pranc. approximation stochastique, f ryšiai: sinonimas – stochastinė… …
6Stochastic context-free grammar — A stochastic context free grammar (SCFG; also probabilistic context free grammar, PCFG) is a context free grammar in which each production is augmented with a probability. The probability of a derivation (parse) is then the product of the… …
7stochastische Approximation — tikimybinė aproksimacija statusas T sritis automatika atitikmenys: angl. stochastic approximation vok. stochastische Approximation rus. стохастическая аппроксимация, f pranc. approximation stochastique, f ryšiai: sinonimas – stochastinė… …
8Polynomial-time approximation scheme — In computer science, a polynomial time approximation scheme (abbreviated PTAS) is a type of approximation algorithm for optimization problems (most often, NP hard optimization problems).A PTAS is an algorithm which takes an instance of an… …
9Local-density approximation — The local density approximation (LDA) is an approximation of the exchange correlation (XC) energy functional in density functional theory (DFT) by taking the XC energy of an electron in a homogeneous electron gas of a density equal to the density …
10List 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 …
