000			02141cam a2200301zu 4500
001			88972857
003			FRCYB88972857
005			20251020124110.0
006			m o d
007			cr un
008			251020s2013 fr | o|||||0|0|||eng d
020			_a9780123914200
035			_aFRCYB88972857
040			_aFR-PaCSA _ben _c _erda
100	1		_aBronson, Richard
245	0	1	_aLinear Algebra _bAlgorithms, Applications, and Techniques _c['Bronson, Richard', 'Costa, Gabriel B.', 'Saccoman, John T.']
264		1	_bAcademic Press _c2013
300			_a p.
336			_btxt _2rdacontent
337			_bc _2rdamdedia
338			_bc _2rdacarrier
650		0	_a
700	0		_aBronson, Richard
700	0		_aCosta, Gabriel B.
700	0		_aSaccoman, John T.
856	4	0	_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88972857 _qtext/html _a
520			_aIn this appealing and well-written text, Richard Bronson starts with the concrete and computational, and leads the reader to a choice of major applications. The first three chapters address the basics: matrices, vector spaces, and linear transformations. The next three cover eigenvalues, Euclidean inner products, and Jordan canonical forms, offering possibilities that can be tailored to the instructor's taste and to the length of the course. Bronson's approach to computation is modern and algorithmic, and his theory is clean and straightforward. Throughout, the views of the theory presented are broad and balanced and key material is highlighted in the text and summarized at the end of each chapter. The book also includes ample exercises with answers and hints. Prerequisite: One year of calculus is recommended. - Introduces deductive reasoning and helps the reader develop a facility with mathematical proofs - Provides a balanced approach to computation and theory by offering computational algorithms for finding eigenvalues and eigenvectors - Offers excellent exercise sets, ranging from drill to theoretical/challeging along with useful and interesting applications not found in other introductory linear algebra texts
999			_c1556359 _d1556359