000 03422nam a22005175i 4500
001 978-3-319-40341-0
003 DE-He213
005 20200421111650.0
007 cr nn 008mamaa
008 160715s2016 gw | s |||| 0|eng d
020 _a9783319403410
_9978-3-319-40341-0
024 7 _a10.1007/978-3-319-40341-0
_2doi
050 4 _aQA76.9.M35
072 7 _aUYA
_2bicssc
072 7 _aUYAM
_2bicssc
072 7 _aCOM018000
_2bisacsh
072 7 _aMAT003000
_2bisacsh
082 0 4 _a004.0151
_223
100 1 _aNeri, Ferrante.
_eauthor.
245 1 0 _aLinear Algebra for Computational Sciences and Engineering
_h[electronic resource] /
_cby Ferrante Neri.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXXII, 464 p. 8 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aBasic Mathematical Thinking -- Matrices -- Systems of Linear Equations -- Geometric Vectors -- Complex Numbers and Polynomials -- An Introduction to Geometric Algebra and Conics -- An Overview of Algebraic Structures -- Vector Spaces -- Linear Mappings -- An Introduction to Computational Complexity -- Graph Theory -- Applied Linear Algebra: Electrical Networks -- A non-linear Algebra: An Introduction to Boolean Algebra -- Proofs of Theorems that Require Further Knowledge of Mathematics.
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.
650 0 _aComputer science.
650 0 _aComputer science
_xMathematics.
650 0 _aMatrix theory.
650 0 _aAlgebra.
650 0 _aApplied mathematics.
650 0 _aEngineering mathematics.
650 1 4 _aComputer Science.
650 2 4 _aMathematics of Computing.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aLinear and Multilinear Algebras, Matrix Theory.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319403397
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-40341-0
912 _aZDB-2-SCS
942 _cEBK
999 _c54339
_d54339