Linear Algebra [electronic resource] /

"A logical development of the subject…all the important theorems and results are discussed in terms of simple worked examples. The student's understanding…is tested by problems at the end of each subsection, and every chapter ends with exercises." --- "Current Science" (Review of the First Edition) A cornerstone of undergraduate mathematics, science, and engineering, this clear and rigorous presentation of the fundamentals of linear algebra is unique in its emphasis and integration of computational skills and mathematical abstractions. The power and utility of this beautiful subject is demonstrated, in particular, in its focus on linear recurrence, difference and differential equations that affect applications in physics, computer science, and economics. Key topics and features include: * Linear equations, matrices, determinants, vector spaces, complex vector spaces, inner products, Jordan canonical forms, and quadratic forms * Rich selection of examples and explanations, as well as a wide range of exercises at the end of every section * Selected answers and hints This second edition includes substantial revisions, new material on minimal polynomials and diagonalization, as well as a variety of new applications. The text will serve theoretical and applied courses and is ideal for self-study. With its important approach to linear algebra as a coherent part of mathematics and as a vital component of the natural and social sciences, "Linear Algebra, Second Edition" will challenge and benefit a broad audience.

Bibliographic Details

Main Authors:	Kwak, Jin Ho. author., Hong, Sungpyo. author., SpringerLink (Online service)
Format:	Texto biblioteca
Language:	eng
Published:	Boston, MA : Birkhäuser Boston : Imprint: Birkhäuser, 2004
Subjects:	Mathematics., Computer science, Algebra., Matrix theory., Applied mathematics., Engineering mathematics., Economic theory., Linear and Multilinear Algebras, Matrix Theory., Mathematics of Computing., Math Applications in Computer Science., Appl.Mathematics/Computational Methods of Engineering., Economic Theory/Quantitative Economics/Mathematical Methods.,
Online Access:	http://dx.doi.org/10.1007/978-0-8176-8194-4
Tags:	Add Tag No Tags, Be the first to tag this record!