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Matrices

Most popular at the top

  • Infinite Matrices and their Finite Sectionsby Marko Lindner

    Birkhäuser Basel 2006; US$ 69.99

    In this book we are concerned with the study of a certain class of in?nite matrices and two important properties of them: their Fredholmness and the stability of the approximation by their ?nite truncations. Let us take these two properties as a starting point for the big picture that shall be presented in what follows. Stability Fredholmness We think... more...

  • Milestones in Matrix Computationby Raymond Chan; Chen Greif; Dianne O'Leary

    Oxford University Press, UK 2007; US$ 164.99

    The text presents and discusses some of the most influential papers in Matrix Computation authored by Gene H. Golub, one of the founding fathers of the field. Including commentaries by leading experts and a brief biography, this text will be of great interest to students and researchers in numerical analysis and scientific computation. - ;The text... more...

  • Sparse matricesby Tewarson

    Elsevier Science 1973; US$ 75.00

    Sparse matrices more...

  • Matrices, Moments and Quadrature with Applicationsby Gene H. Golub; Gérard Meurant

    Princeton University Press 2009; US$ 87.00

    This computationally oriented book describes and explains the mathematical relationships among matrices, moments, orthogonal polynomials, quadrature rules, and the Lanczos and conjugate gradient algorithms. The book bridges different mathematical areas to obtain algorithms to estimate bilinear forms involving two vectors and a function of the matrix.... more...

  • Spectral Analysis of Large Dimensional Random Matricesby Zhidong Bai; Jack W. Silverstein

    Springer New York 2009; US$ 169.00

    The aim of the book is to introduce basic concepts, main results, and widely applied mathematical tools in the spectral analysis of large dimensional random matrices. The core of the book focuses on results established under moment conditions on random variables using probabilistic methods, and is thus easily applicable to statistics and other areas... more...

  • Matrix Methodsby Richard Bronson; Gabriel B. Costa

    Elsevier Science 2008; US$ 94.95

    Matrix Methods: Applied Linear Algebra, 3e, as a textbook, provides a unique and comprehensive balance between the theory and computation of matrices. The application of matrices is not just for mathematicians. The use by other disciplines has grown dramatically over the years in response to the rapid changes in technology. Matrix methods is the essence... more...

  • Matrix Calculus and Zero-One Matricesby Darrell A. Turkington

    Cambridge University Press 2001; US$ 44.00

    Shows how mathematical tools taken from matrix calculations and zero-one matrices greatly facilitate the application of classical statistical procedures to econometric models. more...

  • Matrix Partial Orders, Shorted Operators and Applicationsby Sujit Kumar Mitra; P. Bhimasankaram; Saroj B. Malik

    World Scientific Publishing Company 2010; US$ 154.00

    The present monograph on matrix partial orders, appearing for the first time, is a unique presentation of many partial orders on matrices that have fascinated mathematicians for their beauty and applied scientists for their wide-ranging application potential. Except for the Lowner order, the partial orders considered are relatively new and came into... more...

  • Matrix Mathematicsby Dennis S. Bernstein

    Princeton University Press 2009; US$ 95.00

    When first published in 2005, Matrix Mathematics quickly became the essential reference book for users of matrices in all branches of engineering, science, and applied mathematics. In this fully updated and expanded edition, the author brings together the latest results on matrix theory to make this the most complete, current, and easy-to-use book... more...

  • Analyzing Markov Chains using Kronecker Productsby Tugrul Dayar

    Springer New York 2012; US$ 49.95

    Kronecker products are used to define the underlying Markov chain (MC) in various modeling formalisms, including compositional Markovian models, hierarchical Markovian models, and stochastic process algebras. The motivation behind using a Kronecker structured representation rather than a flat one is to alleviate the storage requirements associated... more...