000			02749nam a22003737a 4500
003			OSt
005			20250218223250.0
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020			_a9783319747477
040			_aNISER LIBRARY _beng _erda _cNISER LIBRARY
082			_a512.64 _bSHO-A
100	1		_aShores, Thomas S.
245	0	0	_aApplied linear algebra and matrix analysis
250			_a2nd edition
260			_aNew York, NY : _bSpringer Berlin Heidelberg, _c2018.
300			_axii, 479 pages : _billustrations (15 b/w illustrations, 30 illustrations in colour) ; _c25 cm.
490			_aUndergraduate texts in mathematics, _x0172-6056
504			_aIncludes bibliographical references (pages 469-470) and index.
520			_aIn its second edition, this textbook offers a fresh approach to matrix and linear algebra. Its blend of theory, computational exercises, and analytical writing projects is designed to highlight the interplay between these aspects of an application. This approach places special emphasis on linear algebra as an experimental science that provides tools for solving concrete problems. The second edition’s revised text discusses applications of linear algebra like graph theory and network modeling methods used in Google’s PageRank algorithm. Other new materials include modeling examples of diffusive processes, linear programming, image processing, digital signal processing, and Fourier analysis. These topics are woven into the core material of Gaussian elimination and other matrix operations; eigenvalues, eigenvectors, and discrete dynamical systems; and the geometrical aspects of vector spaces. Intended for a one-semester undergraduate course without a strict calculus prerequisite, Applied Linear Algebra and Matrix Analysis augments the key elements of linear algebra with a wide choice of optional sections. With the book’s selection of applications and platform-independent assignments, instructors can tailor the curriculum to suit specific interests and ensure students across various disciplines are equipped with the powerful tools of linear algebra.
650		0	_aAlgebra
650		0	_aAlgebras, Linear
650		0	_aMatrix analytic methods
650		0	_aGaussian elimination
650		0	_aMatrix theory
650		0	_aGram-Schmidt algorithm
650		0	_aVector spaces
650		0	_aDiscrete dynamical systems
650		0	_aMatrix algebra
650		0	_aGoogle PageRank
650		0	_aLinear programming
856			_3Table of content _uhttps://link.springer.com/content/pdf/bfm:978-3-319-74748-4/1
856			_3Reviews _uhttps://www.goodreads.com/book/show/37692856-applied-linear-algebra-and-matrix-analysis?ref=nav_sb_ss_1_13#CommunityReviews
942			_2udc _cBK
999			_c35700 _d35700