- algorithm model
- алгоритмическая модель
English-Russian dictionary of mechanical engineering and automation. - RUSSO. B.S. Voskoboinikov, V.L. Mitrovich. 2003.
algorithm model
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Model predictive control — Model Predictive Control, or MPC, is an advanced method of process control that has been in use in the process industries such as chemical plants and oil refineries since the 1980s. Model predictive controllers rely on dynamic models of the… … Wikipedia
Model-based design — (MBD) is a mathematical and visual method of addressing problems associated with designing complex control,[1][2] signal processing[3] and communication systems. It is used in many motion control, industrial equipment, aerospace, and automotive… … Wikipedia
Algorithm characterizations — The word algorithm does not have a generally accepted definition. Researchers are actively working in formalizing this term. This article will present some of the characterizations of the notion of algorithm in more detail. This article is a… … Wikipedia
Algorithm — Flow chart of an algorithm (Euclid s algorithm) for calculating the greatest common divisor (g.c.d.) of two numbers a and b in locations named A and B. The algorithm proceeds by successive subtractions in two loops: IF the test B ≤ A yields yes… … Wikipedia
Algorithm examples — This article Algorithm examples supplements Algorithm and Algorithm characterizations. = An example: Algorithm specification of addition m+n =Choice of machine model:This problem has not been resolved by the mathematics community. There is no… … Wikipedia
Model based design — The dawn of the electrical age brought with it various novel, innovative and advanced control systems. It was as early as 1920 s when the two strands of technology, control theory and control system, came together to produce large scale… … Wikipedia
Model of computation — For computer models simulating complex systems, see Computational model. In model driven engineering, the model of computation explains how the behaviour of the whole system is the result of the behaviour of each of its components. In… … Wikipedia
Mixture model — See also: Mixture distribution In statistics, a mixture model is a probabilistic model for representing the presence of sub populations within an overall population, without requiring that an observed data set should identify the sub population… … 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
Gauss–Newton algorithm — The Gauss–Newton algorithm is a method used to solve non linear least squares problems. It can be seen as a modification of Newton s method for finding a minimum of a function. Unlike Newton s method, the Gauss–Newton algorithm can only be used… … Wikipedia
Cache-oblivious algorithm — In computing, a cache oblivious algorithm is an algorithm designed to exploit the CPU cache without having the size of the cache (or the length of the cache lines, etcetera) as an explicit parameter. An optimal cache oblivious algorithm is a… … Wikipedia
