Aliabadi Mohsen (26 results)

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Paperback. Condition: New. This introductory textbook grew out of several courses in linear algebra given over more than a decade and includes such helpful material as:constructive discussions about the motivation of fundamental conceptsmany worked-out problems in each chapter, andtopics rarely covered in typical linear algebra textbooks.The authors use abstract notions and arguments to give the complete proof of the Jordan canonical form and, more generally, the rational canonical form of square matrices over fields. They also provide the notion of tensor products of vector spaces and linear transformations. Matrices are treated in depth, with coverage of the stability of matrix iterations, the eigenvalue properties of linear transformations in inner product spaces, singular value decomposition, and min-max characterizations of Hermitian matrices and nonnegative irreducible matrices. The authors show the many topics and tools encompassed by modern linear algebra to emphasize its relationship to other areas of mathematics.…

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Paperback. Condition: Brand New. 245 pages. 9.44x6.69x9.61 inches. In Stock.

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Condition: New. A textbook for advanced math or computer science majors taking probability, graph theory, combinatorics, or matrix theory courses. Shmuel Friedland, University of Illinois Mohsen Aliabadi, University of Calif.

Paperback. Condition: New. Analysis and Probability on graphs is an introduction to random graphs, Markov chains on digraphs, entropy of Markov Chains, and discrete Lyapunov exponents and Hausdorff dimension, requiring only minimal background in probability, mathematical analysis, and graphs. This textbook includes constructive discussions about the motivation of basic concepts, and many worked-out problems in each chapter, making it ideal for classroom use or self-study.…

Taschenbuch. Condition: Neu. Neuware - Analysis and Probability on graphs is an introduction to random graphs, Markov chains on digraphs, entropy of Markov Chains, and discrete Lyapunov exponents and Hausdorff dimension, requiring only minimal background in probability, mathematical analysis, and graphs. This textbook includes constructive discussions about the motivation of basic concepts, and many worked-out problems in each chapter, making it ideal for classroom use or self-study.…

Condition: New. pp. 285.

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Condition: New. This introductory textbook grew out of several courses in linear algebra given over more than a decade and includes constructive discussions about the motivation of fundamental concepts many worked-out problems in each chapter and topics rarely covered in.

Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Analysis and Probability on graphs is an introduction to random graphs, Markov chains on digraphs, entropy of Markov Chains, and discrete Lyapunov exponents and Hausdorff dimension, requiring only minimal background in probability, mathematical anal.…

Paperback. Condition: New. This introductory textbook grew out of several courses in linear algebra given over more than a decade and includes such helpful material as:constructive discussions about the motivation of fundamental conceptsmany worked-out problems in each chapter, andtopics rarely covered in typical linear algebra textbooks.The authors use abstract notions and arguments to give the complete proof of the Jordan canonical form and, more generally, the rational canonical form of square matrices over fields. They also provide the notion of tensor products of vector spaces and linear transformations. Matrices are treated in depth, with coverage of the stability of matrix iterations, the eigenvalue properties of linear transformations in inner product spaces, singular value decomposition, and min-max characterizations of Hermitian matrices and nonnegative irreducible matrices. The authors show the many topics and tools encompassed by modern linear algebra to emphasize its relationship to other areas of mathematics.…

Taschenbuch. Condition: Neu. Neuware -Analysis and Probability on graphs is an introduction to random graphs, Markov chains on digraphs, entropy of Markov Chains, and discrete Lyapunov exponents and Hausdorff dimension, requiring only minimal background in probability, mathematical analysis, and graphs. This textbook includes constructive discussions about the motivation of basic concepts, and many worked-out problems in each chapter, making it ideal for classroom use or self-study. Englisch.…

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