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Matrix Computations
Revised and updated, the third edition of Golub and Van Loan's classic text in computer science provides essential information about the mathematical background and algorithmic skills required for the production of numerical software. This new edition includes thoroughly revised chapters on matrix multiplication problems and parallel matrix computations, expanded treatment of CS decomposition, an updated overview of floating point arithmetic, a more accurate rendition of the modified Gram-Schmidt process, and new material devoted to GMRES, QMR, and other methods designed to handle the sparse unsymmetric linear system problem.
A Journey through the History of Numerical Linear Algebra
This expansive volume describes the history of numerical methods proposed for solving linear algebra problems, from antiquity to the present day. The authors focus on methods for linear systems of equations and eigenvalue problems and describe the interplay between numerical methods and the computing tools available at the time. The second part of the book consists of 78 biographies of important contributors to the field. A Journey through the History of Numerical Linear Algebra will be of special interest to applied mathematicians, especially researchers in numerical linear algebra, people involved in scientific computing, and historians of mathematics.
Matrix Algorithms
This is the second volume in a projected five-volume survey of numerical linear algebra and matrix algorithms. It treats the numerical solution of dense and large-scale eigenvalue problems with an emphasis on algorithms and the theoretical background required to understand them. The notes and reference sections contain pointers to other methods along with historical comments. The book is divided into two parts: dense eigenproblems and large eigenproblems. The first part gives a full treatment of the widely used QR algorithm, which is then applied to the solution of generalized eigenproblems and the computation of the singular value decomposition. The second part treats Krylov sequence methods such as the Lanczos and Arnoldi algorithms and presents a new treatment of the Jacobi-Davidson method. These volumes are not intended to be encyclopedic, but provide the reader with the theoretical and practical background to read the research literature and implement or modify new algorithms.
The Rest Is Noise
Winner of the 2007 National Book Critics Circle Award for Criticism A New York Times Book Review Top Ten Book of the Year Time magazine Top Ten Nonfiction Book of 2007 Newsweek Favorite Books of 2007 A Washington Post Book World Best Book of 2007 In this sweeping and dramatic narrative, Alex Ross, music critic for The New Yorker, weaves together the histories of the twentieth century and its music, from Vienna before the First World War to Paris in the twenties; from Hitler's Germany and Stalin's Russia to downtown New York in the sixties and seventies up to the present. Taking readers into the labyrinth of modern style, Ross draws revelatory connections between the century's most influential composers and the wider culture. The Rest Is Noise is an astonishing history of the twentieth century as told through its music.
Matrix Computations
This revised edition provides the mathematical background and algorithmic skills required for the production of numerical software. It includes rewritten and clarified proofs and derivations, as well as new topics such as Arnoldi iteration, and domain decomposition methods.
Requirements Engineering for Sociotechnical Systems
"This book provides a detailed account concerning information society and the challenges and application posed by its elicitation, specification, validation and management: from embedded software in cars to internet-based applications, COTS packages, health-care, and others"--Provided by publisher.
Sparsity and Its Applications
Good,No Highlights,No Markup,all pages are intact, Slight Shelfwear,may have the corners slightly dented, may have slight color changes/slightly damaged spine.
Advances in Learning Software Organizations
This book constitutes the refereed proceedings of the 6th International Workshop on Learning Software Organizations, LSO 2004, held in Banff, Canada in June 2004. The 13 revised full papers and 3 revised short papers presented together with an introduction by the volume editors were carefully reviewed and selected for presentation. The book is devoted to technical, organizational, and social solutions to problems of learning from previous experiences and codifying the resulting best practices so that they can be used in subsequent software development efforts. The papers are organized in topical sections on experience-based information systems, software maintenance, communities of practice, planning LSOs, and case studies and experience reports.
