000 04169nam a22004815i 4500
001 978-0-8176-8325-2
003 DE-He213
005 20140220083228.0
007 cr nn 008mamaa
008 120329s2012 xxu| s |||| 0|eng d
020 _a9780817683252
_9978-0-8176-8325-2
024 7 _a10.1007/978-0-8176-8325-2
_2doi
050 4 _aQA184-205
072 7 _aPBF
_2bicssc
072 7 _aMAT002050
_2bisacsh
082 0 4 _a512.5
_223
100 1 _aSchay, Géza.
_eauthor.
245 1 2 _aA Concise Introduction to Linear Algebra
_h[electronic resource] /
_cby Géza Schay.
264 1 _aBoston :
_bBirkhäuser Boston,
_c2012.
300 _aXII, 330p. 50 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aPreface -- 1 Analytic Geometry of Euclidean Spaces -- 2 Systems of Linear Equations, Matrices -- 3 Vector Spaces and Subspaces -- 4 Linear Transformations -- 5 Orthogonal Projections and Bases -- 6 Determinants -- 7 Eigenvalues and Eigenvectors -- 8 Numerical Methods -- 9 Appendices.
520 _aThis book offers a refreshingly concise, manageable introduction to linear algebra: Whereas most treatments of the subject give an exhaustive survey supplemented with applications, this book presents a carefully selected array of the most essential topics that can be thoroughly covered in a single semester. The exposition generally falls in line with the material recommended by the Linear Algebra Curriculum Study Group, but notably deviates in providing an early emphasis on the geometric foundations of linear algebra.  Starting with vectors, lines, and planes in two and three dimensions gives students a more intuitive understanding of the subject and enables an easier grasp of more abstract concepts.  Two important pedagogical devices are also directed to this end: First, throughout the book, the notation is carefully selected to indicate the connections between related quantities; second, in addition to numbering, brief mnemonic titles are appended to theorems and examples, making it easier for the student to internalize and recall important concepts (e.g., it is much more satisfying to recall the Dimension Theorem than to recall Theorem 3.5.1). The focus throughout is primarily on fundamentals, guiding readers to appreciate the elegance and interconnectedness of linear algebra.  At the same time, the text presents a number of interesting, targeted applications, offering a glimpse of how the subject is used in other fields, especially in physics.  A section on computer graphics and a chapter on numerical methods also provide looks at the potential uses of linear algebra, and most sections contain exercises using MATLAB® to put theory into practice in a variety of contexts.  Visuals and problems are included to enhance and reinforce understanding throughout the book, and both students’ and instructors’ solutions manuals (for non-MATLAB exercises) are available online. A Concise Introduction to Linear Algebra builds on the author's previous title on the subject (Introduction to Linear Algebra, Jones & Bartlett, 1996).  With brevity, precision, and rigor, the work is an ideal choice for a standard one-semester course targeted primarily at math or physics majors.  It is a valuable addition to the book collection of anyone who teaches or studies the subject.
650 0 _aMathematics.
650 0 _aAlgebra.
650 0 _aMatrix theory.
650 0 _aMathematical physics.
650 1 4 _aMathematics.
650 2 4 _aLinear and Multilinear Algebras, Matrix Theory.
650 2 4 _aGeneral Algebraic Systems.
650 2 4 _aMathematical Physics.
650 2 4 _aMathematical Methods in Physics.
650 2 4 _aTheoretical, Mathematical and Computational Physics.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780817683245
856 4 0 _uhttp://dx.doi.org/10.1007/978-0-8176-8325-2
912 _aZDB-2-SMA
999 _c100245
_d100245