000			02257nam a22002537a 4500
003			OSt
005			20250304143908.0
008			250304b |||||||| |||| 00| 0 hin d
020			_a9781107177901
040			_aNISER LIBRARY _beng _cNISER LIBRARY
082	0	0	_a512.64 _bMEC-L
100	1		_aMeckes, Elizabeth S.
245	1	0	_aLinear algebra
260			_aCambridge : _bCambridge University Press, _c2018.
300			_axvi, 427 pages : _billustrations (some color) ; _c26 cm.
490	0		_aCambridge mathematical textbooks
504			_aIncludes bibliographical references and index.
520			_aLinear Algebra offers a unified treatment of both matrix-oriented and theoretical approaches to the course, which will be useful for classes with a mix of mathematics, physics, engineering, and computer science students. Major topics include singular value decomposition, the spectral theorem, linear systems of equations, vector spaces, linear maps, matrices, eigenvalues and eigenvectors, linear independence, bases, coordinates, dimension, matrix factorizations, inner products, norms, and determinants. Introduces central topics, such as vector spaces, linear maps, linear dependence and eigenvalues early in the book with the aim of helping students transition from calculus to rigorous mathematics. Motivates the reader whilst introducing new topics, definitions, and appropriate examples in connection with the core concepts presented early in the text so that students will be able to go back to these vital notions and, by the time the course ends, will have worked with them extensively. Includes many pedagogical features, such as: 'Quick Exercises' throughout with answers upside-down at the bottom of the page; periodic 'Perspectives' that collect various viewpoints on particular topics developed throughout the text; and numerous in-text examples, end-of-chapter exercises, and hints and answers to selected problems at the end of the book.
650		0	_aAlgebras, Linear _vTextbooks.
700	1		_aMeckes, Mark W.
856			_3Table of content _uhttps://assets.cambridge.org/97811071/77901/toc/9781107177901_toc.pdf
856			_3Reviews _uhttps://www.goodreads.com/book/show/36809178-linear-algebra#CommunityReviews
942			_2udc _cBK
999			_c35833 _d35833