- approximate methods
- • приблизителен метод
English-Bulgarian polytechnical dictionary . 2013.
English-Bulgarian polytechnical dictionary . 2013.
Approximate Bayesian computation — (ABC) is a family of computational techniques in Bayesian statistics. These simulation techniques operate on summary data (such as population mean, or variance) to make broad inferences with less computation than might be required if all… … Wikipedia
Methods of computing square roots — There are several methods for calculating the principal square root of a nonnegative real number. For the square roots of a negative or complex number, see below. Contents 1 Rough estimation 2 Babylonian method 2.1 Example … Wikipedia
Methods of passing as male — Cross dressing History of cross dressing Breeches role · Breeching Travesti · In film and television … Wikipedia
Methods for comparing top chess players throughout history — This article examines a number of methodologies that have been suggested for the task of comparing top chess players throughout history, particularly the question of comparing the greatest players of different eras. Statistical methods offer… … Wikipedia
Monte Carlo methods in finance — Monte Carlo methods are used in finance and mathematical finance to value and analyze (complex) instruments, portfolios and investments by simulating the various sources of uncertainty affecting their value, and then determining their average… … Wikipedia
Shock capturing methods — In computational fluid dynamics, shock capturing methods are a class of techniques for computing inviscid flows with shock waves. Computation of flow through shock waves is an extremely difficult task because such flows results in sharp,… … Wikipedia
Ab initio quantum chemistry methods — are computational chemistry methods based on quantum chemistry.[1] The term ab initio was first used in quantum chemistry by Robert Parr and coworkers, including David Craig in a semiempirical study on the excited states of benzene.[2][3] The… … Wikipedia
Runge–Kutta methods — In numerical analysis, the Runge–Kutta methods (pronounced IPA|/ˌʀuŋgeˈkuta/) are an important family of implicit and explicit iterative methods for the approximation of solutions of ordinary differential equations. These techniques were… … Wikipedia
Lattice Boltzmann methods — (LBM) is a class of computational fluid dynamics (CFD) methods for fluid simulation. Instead of solving the Navier–Stokes equations, the discrete Boltzmann equation is solved to simulate the flow of a Newtonian fluid with collision models such as … Wikipedia
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
Computational chemistry — is a branch of chemistry that uses principles of computer science to assist in solving chemical problems. It uses the results of theoretical chemistry, incorporated into efficient computer programs, to calculate the structures and properties of… … Wikipedia