First Course In Linear Algebra, A, Eie Minking & Chang Shou-Te

Автор: Trefethen, Lloyd N. Bau, David, Iii
Название: Numerical linear algebra
ISBN: 0898713617 ISBN-13(EAN): 9780898713619
Издательство: Mare Nostrum (Eurospan)
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Цена: 9656.00 р.
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Описание: Numerical Linear Algebra is a concise, insightful, and elegant introduction to the field of numerical linear algebra.

Автор: Dummit, David S. Foote, Richard M.
Название: Abstract Algebra, 3rd Edition
ISBN: 0471433349 ISBN-13(EAN): 9780471433347
Издательство: Wiley
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Цена: 21376.00 р.
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Описание: Widely acclaimed algebra text. This book is designed to give the reader insight into the power and beauty that accrues from a rich interplay between different areas of mathematics.

Автор: Eie Minking
Название: First Course in Linear Algebra
ISBN: 9813143118 ISBN-13(EAN): 9789813143111
Издательство: World Scientific Publishing
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Цена: 6336.00 р.
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Описание:

"The text itself is well-written. Each chapter begins with a brief synopsis which nicely captures the heart of the chapter, and there are enough boldface headings and vocabulary to keep the reader oriented to the task at hand."

MAA Reviews

A First Course in Linear Algebra is written by two experts from algebra who have more than 20 years of experience in algebra, linear algebra and number theory. It prepares students with no background in Linear Algebra. Students, after mastering the materials in this textbook, can already understand any Linear Algebra used in more advanced books and research papers in Mathematics or in other scientific disciplines.

This book provides a solid foundation for the theory dealing with finite dimensional vector spaces. It explains in details the relation between linear transformations and matrices. One may thus use different viewpoints to manipulate a matrix instead of a one-sided approach. Although most of the examples are for real and complex matrices, a vector space over a general field is briefly discussed. Several optional sections are devoted to applications to demonstrate the power of Linear Algebra.