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constraint analysis

См. также в других словарях:

  • Constraint Grammar — (CG) is a methodological paradigm for Natural language processing (NLP). Linguist written, context dependent rules are compiled into a grammar that assigns grammatical tags ( readings ) to words or other tokens in running text. Typical tags… …   Wikipedia

  • Constraint logic programming — Programming paradigms Agent oriented Automata based Component based Flow based Pipelined Concatenative Concurrent computing …   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

  • First class constraint — In Hamiltonian mechanics, consider a symplectic manifold M with a smooth Hamiltonian over it (for field theories, M would be infinite dimensional). Poisson bracketsSuppose we have some constraints : f i(x)=0, for n smooth functions :{ f i } {i=… …   Wikipedia

  • Numerical analysis — Babylonian clay tablet BC 7289 (c. 1800–1600 BC) with annotations. The approximation of the square root of 2 is four sexagesimal figures, which is about six decimal figures. 1 + 24/60 + 51/602 + 10/603 = 1.41421296...[1] Numerical analysis is the …   Wikipedia

  • Object Constraint Language — The Object Constraint Language (OCL) is a declarative language for describing rules that apply to Unified Modeling Language (UML) models developed at IBM and now part of the UML standard. Initially, OCL was only a formal specification language… …   Wikipedia

  • List of tools for static code analysis — This is a list of significant tools for static code analysis.Historical products* Lint the original static code analyzer of C code.Open source or Noncommercial products .NET (C#, VB.NET and all .NET compatible languages) *… …   Wikipedia

  • Principal component analysis — PCA of a multivariate Gaussian distribution centered at (1,3) with a standard deviation of 3 in roughly the (0.878, 0.478) direction and of 1 in the orthogonal direction. The vectors shown are the eigenvectors of the covariance matrix scaled by… …   Wikipedia

  • Principal components analysis — Principal component analysis (PCA) is a vector space transform often used to reduce multidimensional data sets to lower dimensions for analysis. Depending on the field of application, it is also named the discrete Karhunen Loève transform (KLT),… …   Wikipedia

  • Definite assignment analysis — In computer science, definite assignment analysis is a data flow analysis used by compilers to conservatively ensure that a variable or location is always assigned to before it is used. Contents 1 Motivation 2 Terminology 3 The analysis …   Wikipedia

  • Discontinuous Deformation Analysis — (DDA) is a type of discrete element method originally proposed by Shi in 1988. DDA is somewhat similar to the finite element method for solving stress displacement problems, but accounts for the interaction of independent particles (blocks) along …   Wikipedia

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