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Elements of linear and multilinear algebra, Erdman, John M (portland State Univ, Usa)


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Автор: Erdman, John M (portland State Univ, Usa)
Название:  Elements of linear and multilinear algebra
ISBN: 9789811222726
Издательство: World Scientific Publishing
Классификация:
ISBN-10: 981122272X
Обложка/Формат: Hardback
Страницы: 236
Вес: 0.49 кг.
Дата издания: 14.01.2021
Серия: Mathematics
Язык: English
Размер: 22.86 x 15.24 x 3.18 cm
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Algebra, MATHEMATICS / Algebra / Linear,MATHEMATICS / Combinatorics,MATHEMATICS / Matrices
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Поставляется из: Англии
Описание:

This set of notes is an activity-oriented introduction to linear and multilinear algebra. The great majority of the most elementary results in these subjects are straightforward and can be verified by the thoughtful student. Indeed, that is the main point of these notes - to convince the beginner that the subject is accessible. In the material that follows there are numerous indicators that suggest activity on the part of the reader: words such as proposition, example, theorem, exercise, and corollary, if not followed by a proof (and proofs here are very rare) or a reference to a proof, are invitations to verify the assertions made.


These notes are intended to accompany an (academic) year-long course at the advanced undergraduate or beginning graduate level. (With judicious pruning most of the material can be covered in a two-term sequence.) The text is also suitable for a lecture-style class, the instructor proving some of the results while leaving others as exercises for the students.


This book has tried to keep the facts about vector spaces and those about inner product spaces separate. Many beginning linear algebra texts conflate the material on these two vastly different subjects.




Multilinear Algebra

Автор: Werner Greub
Название: Multilinear Algebra
ISBN: 0387902848 ISBN-13(EAN): 9780387902845
Издательство: Springer
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Цена: 10480.00 р.
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Описание: This book is a revised version of the first edition and is intended as a Linear Algebra sequel and companion volume to the fourth edition of (Graduate Texts in Mathematics 23). In this new version of Multilinear Algebra, Chapters 1-5 remain essen- tially unchanged from the previous edition.

Multilinear Subspace Learning

Автор: Haiping Lu
Название: Multilinear Subspace Learning
ISBN: 1439857245 ISBN-13(EAN): 9781439857243
Издательство: Taylor&Francis
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Цена: 16843.00 р.
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Описание:

Due to advances in sensor, storage, and networking technologies, data is being generated on a daily basis at an ever-increasing pace in a wide range of applications, including cloud computing, mobile Internet, and medical imaging. This large multidimensional data requires more efficient dimensionality reduction schemes than the traditional techniques. Addressing this need, multilinear subspace learning (MSL) reduces the dimensionality of big data directly from its natural multidimensional representation, a tensor.

Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data gives a comprehensive introduction to both theoretical and practical aspects of MSL for the dimensionality reduction of multidimensional data based on tensors. It covers the fundamentals, algorithms, and applications of MSL.

Emphasizing essential concepts and system-level perspectives, the authors provide a foundation for solving many of today's most interesting and challenging problems in big multidimensional data processing. They trace the history of MSL, detail recent advances, and explore future developments and emerging applications.

The book follows a unifying MSL framework formulation to systematically derive representative MSL algorithms. It describes various applications of the algorithms, along with their pseudocode. Implementation tips help practitioners in further development, evaluation, and application. The book also provides researchers with useful theoretical information on big multidimensional data in machine learning and pattern recognition. MATLAB(R) source code, data, and other materials are available at www.comp.hkbu.edu.hk/ haiping/MSL.html

Multilinear Operator Integrals

Автор: Anna Skripka; Anna Tomskova
Название: Multilinear Operator Integrals
ISBN: 3030324052 ISBN-13(EAN): 9783030324056
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book provides a comprehensive treatment of multilinear operator integral techniques. The exposition is structured to be suitable for a course on methods and applications of multilinear operator integrals and also as a research aid. The ideas and contributions to the field are surveyed and up-to-date results and methods are presented. Most practical constructions of multiple operator integrals are included along with fundamental technical results and major applications to smoothness properties of operator functions (Lipschitz and H?lder continuity, differentiability), approximation of operator functions, spectral shift functions, spectral flow in the setting of noncommutative geometry, quantum differentiability, and differentiability of noncommutative L^p-norms. Main ideas are demonstrated in simpler cases, while more involved, technical proofs are outlined and supplemented with references. Selected open problems in the field are also presented.

Matrix Calculus, Kronecker Product and Tensor Product: A Practical Approach to Linear Algebra, Multilinear Algebra and Tensor Calculus with Software I

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: 14256.00 р.
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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.

Linear and Multilinear Algebra and Function Spaces

Автор: A. Bourhim, L. Oubbi, Z. Abdelali
Название: Linear and Multilinear Algebra and Function Spaces
ISBN: 1470446936 ISBN-13(EAN): 9781470446932
Издательство: Mare Nostrum (Eurospan)
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Цена: 15048.00 р.
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Описание: This volume contains the proceedings of the International Conference on Algebra and Related Topics, held from July 2-5, 2018, at Mohammed V University, Rabat, Morocco.Linear reserver problems demand the characterization of linear maps between algebras that leave invariant certain properties or certain subsets or relations. One of the most intractable unsolved problems in is Kaplansky's conjecture: every surjective unital invertibility preserving linear map between two semisimple Banach algebras is a Jordan homomorphism. Recently, there has been an upsurge of interest in nonlinear preservers, where the maps studied are no longer assumed linear but instead a weak algebraic condition is somehow involved through the preserving property.This volume contains several articles on various aspects of preservers, including such topics as Jordan isomorphisms, Aluthge transform, joint numerical radius on $C^*$-algebras, advertible complete algebras, and Gelfand-Mazur algebras. The volume also contains a survey on recent progress on local spectrum-preserving maps. Several articles in the volume present results about weighted spaces and algebras of holomorphic or harmonic functions, including biduality in weighted spaces of analytic functions, interpolation in the analytic Wiener algebra, and weighted composition operators on non-locally convex weighted spaces.


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