Numerical Linear Algebra With Applications, Ford, William

Автор: Axler Sheldon
Название: Linear Algebra Done Right
ISBN: 3319110799 ISBN-13(EAN): 9783319110790
Издательство: Springer
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Цена: 41920.00 T
Наличие на складе: Невозможна поставка.
Описание: This best-selling textbook for a second course in linear algebra is aimed at undergrad math majors and graduate students. The text focuses on the central goal of linear algebra: understanding the structure of linear operators on finite-dimensional vector spaces.

Автор: Bornemann, Folkmar
Название: Numerical linear algebra
ISBN: 3319742213 ISBN-13(EAN): 9783319742212
Издательство: Springer
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Цена: 51230.00 T
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Описание: Preface.- I Computing with Matrices.- II Matrix Factorization.- III Error Analysis.- IV Least Squares.- V Eigenvalue Problems.- Appendix.- Notation.- Index.

Автор: Murty Katta Gopalakrishna
Название: Computational And Algorithmic Linear Algebra And N-Dimensional Geometry
ISBN: 9814366633 ISBN-13(EAN): 9789814366632
Издательство: World Scientific Publishing
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Цена: 59130.00 T
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Описание: Deals with Linear Algebra and n-Dimensional Geometry. This title is suitable for sophomore level undergraduates in mathematics, engineering, business, and the sciences.

Автор: Larisa Beilina; Evgenii Karchevskii; Mikhail Karch
Название: Numerical Linear Algebra: Theory and Applications
ISBN: 3319573020 ISBN-13(EAN): 9783319573021
Издательство: Springer
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Цена: 74530.00 T
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Описание: This book combines a solid theoretical background in linear algebra with practical algorithms for numerical solution of linear algebra problems.

Автор: Wendland Holger
Название: Numerical Linear Algebra
ISBN: 131660117X ISBN-13(EAN): 9781316601174
Издательство: Cambridge Academ
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Цена: 40120.00 T
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Описание: This self-contained introduction to numerical linear algebra provides a comprehensive, yet concise, overview of the subject. This book will be of particular use to applied mathematicians, engineers, computer scientists, and to all those interested in efficiently solving linear problems.

Автор: Dario Andrea Bini; Fabio Di Benedetto; Eugene Tyrt
Название: Structured Matrices in Numerical Linear Algebra
ISBN: 3030040879 ISBN-13(EAN): 9783030040871
Издательство: Springer
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Цена: 102480.00 T
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Описание: This book gathers selected contributions presented at the INdAM Meeting Structured Matrices in Numerical Linear Algebra: Analysis, Algorithms and Applications, held in Cortona, Italy on September 4-8, 2017. Highlights cutting-edge research on Structured Matrix Analysis, it covers theoretical issues, computational aspects, and applications alike. The contributions, written by authors from the foremost international groups in the community, trace the main research lines and treat the main problems of current interest in this field. The book offers a valuable resource for all scholars who are interested in this topic, including researchers, PhD students and post-docs.

Автор: S.K. Godunov; A.G. Antonov; O.P. Kiriljuk; V.I. Ko
Название: Guaranteed Accuracy in Numerical Linear Algebra
ISBN: 0792323521 ISBN-13(EAN): 9780792323525
Издательство: Springer
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Цена: 121110.00 T
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Описание: Deals with the theory of algorithms for solving systems of linear algebraic equations having a non-fill-rank matrix of co-efficients. The algorithms discussed in this book lead to computer programs which guarantee the accuracy of the computations, leading to unambiguous solutions.

Автор: James W. Demmel
Название: Applied Numerical Linear Algebra
ISBN: 0898713897 ISBN-13(EAN): 9780898713893
Издательство: Mare Nostrum (Eurospan)
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Цена: 76910.00 T
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Описание: Designed for use by first-year graduate students from a variety of engineering and scientific disciplines, this comprehensive textbook covers the solution of linear systems, least squares problems, eigenvalue problems, and the singular value decomposition.

Автор: Lyche Tom
Название: Numerical Linear Algebra and Matrix Factorizations
ISBN: 3030364674 ISBN-13(EAN): 9783030364670
Издательство: Springer
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Цена: 46570.00 T
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Описание: After reading this book, students should be able to analyze computational problems in linear algebra such as linear systems, least squares- and eigenvalue problems, and to develop their own algorithms for solving them.

Автор: Gill, Philip E.,
Название: Numerical linear algebra and optimization /
ISBN: 1611976561 ISBN-13(EAN): 9781611976564
Издательство: Mare Nostrum (Eurospan)
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Цена: 74410.00 T
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Описание: Numerical Linear Algebra and Optimization covers the fundamentals of closely related topics: linear systems (linear equations and least-squares) and linear programming (optimizing a linear function subject to linear constraints). For each problem class, stable and efficient numerical algorithms intended for a finite-precision environment are derived and analyzed. In 1991, when the book first appeared, these topics were rarely taught with a unified perspective, and, somewhat surprisingly, this remains true almost 30 years later. As a result, some of the material in this book can be difficult to find elsewhere—in particular, techniques for updating the LU factorization, descriptions of the simplex method applied to all-inequality form, and the analysis of what happens when using an approximate inverse to solve Ax=b.This book is appropriate for students who want to learn about numerical techniques for solving linear systems and/or linear programming using the simplex method.

Автор: Murty Katta Gopalakrishna
Название: Computational And Algorithmic Linear Algebra And N-Dimensional Geometry
ISBN: 9814366625 ISBN-13(EAN): 9789814366625
Издательство: World Scientific Publishing
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Цена: 111930.00 T
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Описание: Deals with Linear Algebra and n-Dimensional Geometry. This title is suitable for sophomore level undergraduates in mathematics, engineering, business, and the sciences.

Автор: Hardy Yorick, Steeb Willi-Hans
Название: Matrix Calculus, Kronecker Product and Tensor Product: A Practical Approach to Linear Algebra, Multilinear Algebra and Tensor Calculus with Software I
ISBN: 9811202516 ISBN-13(EAN): 9789811202513
Издательство: World Scientific Publishing
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Цена: 95040.00 T
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Описание: Our self-contained volume provides an accessible introduction to linear and multilinear algebra as well as tensor calculus. Besides the standard techniques for linear algebra, multilinear algebra and tensor calculus, many advanced topics are included where emphasis is placed on the Kronecker product and tensor product. The Kronecker product has widespread applications in signal processing, discrete wavelets, statistical physics, Hopf algebra, Yang-Baxter relations, computer graphics, fractals, quantum mechanics, quantum computing, entanglement, teleportation and partial trace. All these fields are covered comprehensively.The volume contains many detailed worked-out examples. Each chapter includes useful exercises and supplementary problems. In the last chapter, software implementations are provided for different concepts. The volume is well suited for pure and applied mathematicians as well as theoretical physicists and engineers.New topics added to the third edition are: mutually unbiased bases, Cayley transform, spectral theorem, nonnormal matrices, Gateaux derivatives and matrices, trace and partial trace, spin coherent states, Clebsch-Gordan series, entanglement, hyperdeterminant, tensor eigenvalue problem, Carleman matrix and Bell matrix, tensor fields and Ricci tensors, and software implementations.