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Algèbre universelle --- Algebra, Universal. --- Logique floue --- Logique multivalente
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This graduate-level textbook provides an introduction to the basic ideas and concepts of universal algebra and surveys of newer developments. Universal Algebra and Applications in Theoretical Computer Science is written in a style accessible to beginners, with every new concept clearly explained and numerous examples provided. The main ideas of concept lattices as an important tool for conceptual analysis of data are developed, and several examples are given. The algebraic theory of tree automata and its interconnections to universal-algebraic concepts are described. The final part of the book is devoted to key applications of universal algebra in theoretical computer science.
Algebra --- Computer science --- Algebra, Universal. --- Mathematics. --- Algebra, Universal --- Algèbre universelle --- Informatique --- Mathematics --- Mathématiques --- Algèbre universelle. --- Mathématiques. --- Algèbre universelle. --- Mathématiques.
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Two distinct systems of hypercomplex numbers in n dimensions are introduced in this book, for which the multiplication is associative and commutative, and which are rich enough in properties such that exponential and trigonometric forms exist and the concepts of analytic n-complex function, contour integration and residue can be defined. The first type of hypercomplex numbers, called polar hypercomplex numbers, is characterized by the presence in an even number of dimensions greater or equal to 4 of two polar axes, and by the presence in an odd number of dimensions of one polar axis.
Numbers, Complex. --- Complex numbers --- Imaginary quantities --- Quantities, Imaginary --- Algebra, Universal --- Quaternions --- Vector analysis
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Infinite products of matrices are used in nonhomogeneous Markov chains, Markov set-chains, demographics, probabilistic automata, production and manpower systems, tomography, and fractals. More recent results have been obtained in computer design of curves and surfaces. This book puts together much of the basic work on infinite products of matrices, providing a primary source for such work. This will eliminate the rediscovery of known results in the area, and thus save considerable time for researchers who work with infinite products of matrices. In addition, two chapters are included to show how infinite products of matrices are used in graphics and in systems work.
Matrices. --- Algebra, Matrix --- Cracovians (Mathematics) --- Matrix algebra --- Matrixes (Algebra) --- Algebra, Abstract --- Algebra, Universal
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Algebras, Linear. --- Linear algebra --- Algebras, Linear --- Algebra, Universal --- Generalized spaces --- Mathematical analysis --- Calculus of operations --- Line geometry --- Topology
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This 2002 book presents the reader with mathematical tools taken from matrix calculus and zero-one matrices and demonstrates how these tools greatly facilitate the application of classical statistical procedures to econometric models. The matrix calculus results are derived from a few basic rules that are generalizations of the rules of ordinary calculus. These results are summarized in a useful table. Well-known zero-one matrices, together with some newer ones, are defined, their mathematical roles explained, and their useful properties presented. The basic building blocks of classical statistics, namely the score vector, the information matrix, and the Cramer-Rao lower bound, are obtained for a sequence of linear econometric models of increasing statistical complexity. From these are obtained interactive interpretations of maximum likelihood estimators, linking them with efficient econometric estimators. Classical test statistics are also derived and compared for hypotheses of interest.
Mathematical statistics --- Matrices --- Business, Economy and Management --- Economics --- Matrices. --- Mathematical statistics. --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Algebra, Matrix --- Cracovians (Mathematics) --- Matrix algebra --- Matrixes (Algebra) --- Algebra, Abstract --- Algebra, Universal --- Statistical methods
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Algebraic topology --- Categories (Mathematics) --- Homotopy theory --- Deformations, Continuous --- Topology --- Category theory (Mathematics) --- Algebra, Homological --- Algebra, Universal --- Group theory --- Logic, Symbolic and mathematical --- Functor theory --- Homotopy theory. --- Catégories (mathématiques) --- Homotopie --- Homotopie.
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Analytical topology --- Homotopy theory. --- Categories (Mathematics) --- Homotopie. --- Catégories (mathématiques) --- Homotopy theory --- Deformations, Continuous --- Topology --- Category theory (Mathematics) --- Algebra, Homological --- Algebra, Universal --- Group theory --- Logic, Symbolic and mathematical --- Functor theory
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Matrix-analytic methods are fundamental to the analysis of a family of Markov processes rich in structure and of wide applicability. They are extensively used in the modelling and performance analysis of computer systems, telecommunication networks, network protocols and many other stochastic systems of current commercial and engineering interest.This volume deals with: (1) various aspects of the theory of block-structured Markov chains; (2) analysis of complex queueing models; and (3) parameter estimation and specific applications to such areas as cellular mobile systems, FS-ALOHA, the Intern
Markov processes --- Queuing theory --- Matrices --- Stochastic processes --- Algebra, Matrix --- Cracovians (Mathematics) --- Matrix algebra --- Matrixes (Algebra) --- Algebra, Abstract --- Algebra, Universal --- Markov, Processus de --- Files d'attente, Théorie des --- Processus stochastiques --- Congresses. --- Congresses --- Congrès
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