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This book, first published in 1991, is devoted to the exposition of combinatorial matrix theory. This subject concerns itself with the use of matrix theory and linear algebra in proving results in combinatorics (and vice versa), and with the intrinsic properties of matrices viewed as arrays of numbers rather than algebraic objects in themselves. There are chapters dealing with the many connections between matrices, graphs, digraphs and bipartite graphs. The basic theory of network flows is developed in order to obtain existence theorems for matrices with prescribed combinatorial properties and to obtain various matrix decomposition theorems. Other chapters cover the permanent of a matrix, and Latin squares. The final chapter deals with algebraic characterizations of combinatorial properties and the use of combinatorial arguments in proving classical algebraic theorems, including the Cayley-Hamilton Theorem and the Jordan Canonical Form. The book is sufficiently self-contained for use as a graduate course text, but complete enough for a standard reference work on the basic theory. Thus it will be an essential purchase for combinatorialists, matrix theorists, and those numerical analysts working in numerical linear algebra.
Matrices. --- Combinatorial analysis. --- Combinatorics --- Algebra --- Mathematical analysis --- Algebra, Matrix --- Cracovians (Mathematics) --- Matrix algebra --- Matrixes (Algebra) --- Algebra, Abstract --- Algebra, Universal
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Algebras, Linear --- Algèbre linéaire --- 512.64 --- 512 --- Algebra --- Lineaire algebra --- Algèbre linéaire --- Linear algebra --- Algebra, Universal --- Generalized spaces --- Mathematical analysis --- Calculus of operations --- Line geometry --- Topology
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Category theory is a branch of pure mathematics that is becoming an increasingly important tool in theoretical computer science, especially in programming language semantics, domain theory, and concurrency, where it is already a standard language of discourse. Assuming a minimum of mathematical preparation, Basic Category Theory for Computer Scientists provides a straightforward presentation of the basic constructions and terminology of category theory, including limits, functors, natural transformations, adjoints, and cartesian closed categories. Four case studies illustrate applications of category theory to programming language design, semantics, and the solution of recursive domain equations. A brief literature survey offers suggestions for further study in more advanced texts. Benjamin C. Pierce received his doctoral degree from Carnegie Mellon University. Contents : Tutorial. Applications. Further Reading.
Computer science --- Categories (Mathematics) --- Mathematics --- Mathematics. --- Categories (Mathematics). --- Category theory (Mathematics) --- Algebra, Homological --- Algebra, Universal --- Group theory --- Logic, Symbolic and mathematical --- Topology --- Functor theory --- Computer mathematics --- Electronic data processing --- Computer science - Mathematics --- Algebra --- COMPUTER SCIENCE/General
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Matrices --- -Operator theory --- -517.983 --- Functional analysis --- Algebra, Matrix --- Cracovians (Mathematics) --- Matrix algebra --- Matrixes (Algebra) --- Algebra, Abstract --- Algebra, Universal --- Congresses --- Linear operators. Linear operator equations --- 517.983 Linear operators. Linear operator equations --- Operator theory --- 517.983
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Algebra, Abstract --- Geometry --- -Mathematics --- Euclid's Elements --- Abstract algebra --- Algebra, Universal --- Logic, Symbolic and mathematical --- Set theory --- Problems, Famous --- Algebra, Abstract. --- Famous problems. --- -Problems, Famous --- -Abstract algebra --- Famous problems in geometry --- Problems, Famous, in geometry --- Famous problems
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Grafentheorie --- Graph theory --- Graphes [Théorie des ] --- Matrices --- Théorie des graphes --- 519.1 --- #KVIV:BB --- Algebra, Matrix --- Cracovians (Mathematics) --- Matrix algebra --- Matrixes (Algebra) --- Algebra, Abstract --- Algebra, Universal --- Graphs, Theory of --- Theory of graphs --- Combinatorial analysis --- Topology --- Combinatorics. Graph theory --- Extremal problems --- 519.1 Combinatorics. Graph theory --- Graph theory. --- Matrices.
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Mathematics --- Algebras, Linear --- -512.64 --- Linear algebra --- Algebra, Universal --- Generalized spaces --- Mathematical analysis --- Calculus of operations --- Line geometry --- Topology --- Outlines, syllabi, etc --- Linear and multilinear algebra. Matrix theory --- Outlines, syllabi, etc. --- 512.64 Linear and multilinear algebra. Matrix theory --- Algebra --- algebra --- 512.64 --- Algebras, Linear - Outlines, syllabi, etc. --- Algebras, Linear - Problems, exercises, etc.
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Matrices. --- Combinatorial analysis. --- Combinatorial analysis --- Matrices --- 512.64 --- 519.1 --- 512.64 Linear and multilinear algebra. Matrix theory --- Linear and multilinear algebra. Matrix theory --- Combinatorics --- Algebra --- Mathematical analysis --- Algebra, Matrix --- Cracovians (Mathematics) --- Matrix algebra --- Matrixes (Algebra) --- Algebra, Abstract --- Algebra, Universal --- 519.1 Combinatorics. Graph theory --- Combinatorics. Graph theory --- Magic squares --- Analyse combinatoire --- Carrés latins --- Graphes, Théorie des
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Categories (Mathematics) --- Categorieën (Wiskunde) --- Catégories (Mathématiques) --- Topologie --- Topology --- Computer science --- Mathematics --- 515.1 --- 512.58 --- -Topology --- 681.3*F0 --- Analysis situs --- Position analysis --- Rubber-sheet geometry --- Geometry --- Polyhedra --- Set theory --- Algebras, Linear --- Informatics --- Science --- Category theory (Mathematics) --- Algebra, Homological --- Algebra, Universal --- Group theory --- Logic, Symbolic and mathematical --- Functor theory --- Categories. Category theory --- Computerwetenschap--?*F0 --- Topology. --- Mathematics. --- Categories (Mathematics). --- 512.58 Categories. Category theory --- 515.1 Topology --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Computer science - Mathematics. --- Informatique --- Catégories (mathématiques) --- Computer science - Mathematics
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Numerical solutions of algebraic equations --- Numerical methods of optimisation --- Algebras, Linear. --- Numerical calculations. --- Mathematical optimization. --- 519.66 --- Algebras, Linear --- Mathematical optimization --- Numerical calculations --- #KVIV:BB --- 512.64 --- 519.6 --- 519.85 --- 681.3*G16 --- Numerical analysis --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Linear algebra --- Algebra, Universal --- Generalized spaces --- Calculus of operations --- Line geometry --- Topology --- Mathematic tables and their compilation --- Linear and multilinear algebra. Matrix theory --- Computational mathematics. Numerical analysis. Computer programming --- Mathematical programming --- Optimization: constrained optimization; gradient methods; integer programming; least squares methods; linear programming; nonlinear programming (Numericalanalysis) --- 681.3*G16 Optimization: constrained optimization; gradient methods; integer programming; least squares methods; linear programming; nonlinear programming (Numericalanalysis) --- 519.85 Mathematical programming --- 519.6 Computational mathematics. Numerical analysis. Computer programming --- 512.64 Linear and multilinear algebra. Matrix theory --- 519.66 Mathematic tables and their compilation --- lineaire algebra --- Programmation (mathématiques) --- Algebre lineaire --- Methodes numeriques
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