ISBN: 9780898713213 - Nonnegative Matrices in the Mathematical Sciences (classics in Applied Mathematics, Series Number 9) (13 results)

Paperback. Condition: Very Good. Subsequent. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Condition: Brand New. subsequent edition. 360 pages. 9.00x6.00x0.75 inches. In Stock.

Condition: New. 1987. Revised ed. paperback. . . . . .

Paperback Jan 01, 1987. Condition: Used: Very Good. SIAM, 1994, in-8 broché, 340 pages. Couverture en bon état général. Coins très modestement cornés. Dos solide. Intérieur frais. Exemplaire de bibliothèque : petit code barre en pied de 1re de couv., cotation au dos, rares et discrets petits tampons à l?intérieur de l?ouvrage. [BT13+].…

Paperback. Condition: New. Here is a valuable text and research tool for scientists and engineers who use or work with theory and computation associated with practical problems relating to Markov chains and queuing networks, economic analysis, or mathematical programming. Originally published in 1979, this new edition adds material that updates the subject relative to developments from 1979 to 1993.Theory and applications of nonnegative matrices are blended here, and extensive references are included in each area. You will be led from the theory of positive operators via the Perron-Frobenius theory of nonnegative matrices and the theory of inverse positivity, to the widely used topic of M-matrices. On the way, semigroups of nonnegative matrices and symmetric nonnegative matrices are discussed. Later, applications of nonnegativity and M-matrices are given; for numerical analysis the example is convergence theory of iterative methods, for probability and statistics the examples are finite Markov chains and queuing network models, for mathematical economics the example is input-output models, and for mathematical programming the example is the linear complementarity problem.Nonnegativity constraints arise very naturally throughout the physical world. Engineers, applied mathematicians, and scientists who encounter nonnegativity or generalizations of nonnegativity in their work will benefit from topics covered here, connecting them to relevant theory. Researchers in one area, such as queuing theory, may find useful the techniques involving nonnegative matrices used by researchers in another area, say, mathematical programming.Exercises and biographical notes are included with each chapter.…

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New. 1987. Revised ed. paperback. . . . . . Books ship from the US and Ireland.

Paperback. Condition: New. New copy - Usually dispatched within 4 working days.

Condition: New. In English.

Condition: New. KlappentextrnrnValuable text for scientists and engineers who work with problems relating to Markov chains and queuing networks, or mathematical programming.

Taschenbuch. Condition: Neu. Neuware - Valuable text for scientists and engineers who work with problems relating to Markov chains and queuing networks, or mathematical programming.

paperback. Condition: Good. Good. Dust Jacket NOT present. CD WILL BE MISSING. . SHIPS FROM MULTIPLE LOCATIONS. book.

Paperback. Condition: New. Here is a valuable text and research tool for scientists and engineers who use or work with theory and computation associated with practical problems relating to Markov chains and queuing networks, economic analysis, or mathematical programming. Originally published in 1979, this new edition adds material that updates the subject relative to developments from 1979 to 1993.Theory and applications of nonnegative matrices are blended here, and extensive references are included in each area. You will be led from the theory of positive operators via the Perron-Frobenius theory of nonnegative matrices and the theory of inverse positivity, to the widely used topic of M-matrices. On the way, semigroups of nonnegative matrices and symmetric nonnegative matrices are discussed. Later, applications of nonnegativity and M-matrices are given; for numerical analysis the example is convergence theory of iterative methods, for probability and statistics the examples are finite Markov chains and queuing network models, for mathematical economics the example is input-output models, and for mathematical programming the example is the linear complementarity problem.Nonnegativity constraints arise very naturally throughout the physical world. Engineers, applied mathematicians, and scientists who encounter nonnegativity or generalizations of nonnegativity in their work will benefit from topics covered here, connecting them to relevant theory. Researchers in one area, such as queuing theory, may find useful the techniques involving nonnegative matrices used by researchers in another area, say, mathematical programming.Exercises and biographical notes are included with each chapter.…