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000913447 0247_ $$a10.1007/978-3-030-21321-3$$2doi
000913447 0247_ $$a10.1007/978-3-030-21
000913447 035__ $$aSP(OCoLC)on1114345396
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000913447 050_4 $$aQA76.9.M35
000913447 08204 $$a004.0151$$223
000913447 1001_ $$aNeri, Ferrante,$$eauthor.
000913447 24510 $$aLinear algebra for computational sciences and engineering /$$cFerrante Neri.
000913447 250__ $$aSecond edition.
000913447 264_1 $$aCham, Switzerland :$$bSpringer,$$c2019.
000913447 264_4 $$c©2019
000913447 300__ $$a1 online resource (xxv, 574 pages) :$$billustrations.
000913447 336__ $$atext$$btxt$$2rdacontent
000913447 337__ $$acomputer$$bc$$2rdamedia
000913447 338__ $$aonline resource$$bcr$$2rdacarrier
000913447 347__ $$atext file$$bPDF$$2rda
000913447 500__ $$aPrevious edition: 2016.
000913447 500__ $$aForeword by Alberto Grasso.
000913447 500__ $$aIncludes index.
000913447 504__ $$aIncludes bibliographical references and index.
000913447 5050_ $$aI. Foundations of linear algebra: Basic mathematical thinking -- Matrices -- Systems of linear equations -- Geometric vectors -- Complex numbers and polynomials -- An introduction to geometric algebra and conics. -- II. Elements of linear algebra: An overview on algebraic structures -- Vector spaces -- An introduction to inner product spaces : Euclidean spaces -- Linear mappings -- An introduction to computational complexity -- Graph theory -- Applied linear algebra : electrical networks.
000913447 506__ $$aAccess limited to authorized users.
000913447 520__ $$aThis book presents the main concepts of linear algebra from the viewpoint of applied scientists such as computer scientists and engineers, without compromising on mathematical rigor. Based on the idea that computational scientists and engineers need, in both research and professional life, an understanding of theoretical concepts of mathematics in order to be able to propose research advances and innovative solutions, every concept is thoroughly introduced and is accompanied by its informal interpretation. Furthermore, most of the theorems included are first rigorously proved and then shown in practice by a numerical example. When appropriate, topics are presented also by means of pseudocodes, thus highlighting the computer implementation of algebraic theory. It is structured to be accessible to everybody, from students of pure mathematics who are approaching algebra for the first time to researchers and graduate students in applied sciences who need a theoretical manual of algebra to successfully perform their research. Most importantly, this book is designed to be ideal for both theoretical and practical minds and to offer to both alternative and complementary perspectives to study and understand linear algebra. --$$cProvided by publisher.
000913447 588__ $$aDescription based on online resource (SpringerLink, viewed August 27, 2019).
000913447 650_0 $$aAlgebras, Linear.
000913447 650_0 $$aComputer science$$xMathematics.
000913447 650_0 $$aEngineering mathematics.
000913447 650_0 $$aMatrix theory.
000913447 77608 $$iPrint version:$$z9783030213206
000913447 852__ $$bebk
000913447 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-21321-3$$zOnline Access$$91397441.1
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