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Linear Algebra for Engineers and Scientists Using Matlab by Kenneth Hardy (2004, Hardcover)

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This short book integrates the use of MATLAB in a unique, innovative way. Linear transformations are integrated throughout the book. The book uses MATLAB as the chosen computational software. It may be used without the need form machine computation, although exposure to some use of MATLAB is recommended. Worked examples illustrating every important concept or main point. At the end of each example the reader is asked to work one (or more) routine exercises which are of the same type. Although the book has been developed in the context of engineering and computer science, it is also suitable for other audiences.

About this product

Product Identifiers

PublisherPrentice Hall PTR

ISBN-100139067280

ISBN-139780139067280

eBay Product ID (ePID)760462

Product Key Features

Number of Pages504 Pages

LanguageEnglish

Publication NameLinear Algebra for Engineers and Scientists Using Matlab

SubjectAlgebra / Linear, Engineering (General), General, Algebra / General

Publication Year2004

TypeTextbook

AuthorKenneth Hardy

Subject AreaMathematics, Technology & Engineering, Science

FormatHardcover

Dimensions

Item Height0.9 in

Item Weight32.1 Oz

Item Length9.1 in

Item Width8.1 in

Additional Product Features

Intended AudienceCollege Audience

LCCN2004-044517

Dewey Edition22

IllustratedYes

Dewey Decimal512/.5

Table Of Content(NOTE: A (historic) profile and introduction are keynotes to each chapter. ) 1. Linear Systems. Solving Linear Systems. Echelon Forms, Rank. Applications. 2. Matrices. Matrix Algebra. Inverses. LU-Factorization. Applications. 3. Vectors. Spaces of Vectors. Linear Independence, Bases, Dimension. Null Space, Column Space, Row Space. Linear Transformations on Rn. 4. Orthogonality. Dot Product, Norm. Orthogonal Sets, Orthogonal Matrices. Orthogonal Subspaces, Projections, Bases. Applications. 5. Determinants. Definition and Computation. Inverses and Products. 6. Eigenvalue Problems. Eigenvalues and Eigenvectors. Diagonalization. Applied Eignevalue Problems. Markov Chains. Systems of Linear Differential Equations. 7. Vector Spaces. Vector Spaces and Subspaces. Linear Independence, Basis, Dimension. Coordinates, Linear Transformations. 8. Complex Numbers. Algebraic Theory. Geometric Theory. Polar Form. Extraction of Roots, Polynomials. Linear Algebra: The Complex Case. 9. Linear Programming. Standard Forms, Geometrical Methods. The Simplex Algorithm. Duality. Mixed Constraints. Appendix A: MATLAB. Appendix B: TOOLBOX. Answers to Selected Odd-Numbered Exercises Index.

SynopsisThis short book integrates the use of MATLAB in a unique, innovative way. Linear transformations are integrated throughout the book. The book uses MATLAB as the chosen computational software. It may be used without the need form machine computation, although exposure to some use of MATLAB is recommended. Worked examples illustrating every important concept or main point. At the end of each example the reader is asked to work one (or more) routine exercises which are of the same type. Although the book has been developed in the context of engineering and computer science, it is also suitable for other audiences., For a one-semester introductory course. Although the text has been developed in the context of engineering and physical science, it is also suitable for computer science students, math majors, and other quantitative fields. The most carefully written and clearest written text in linear algebra, motivates students in applied areas by placing linear algebra in context through current applications, anecdotes and historical references. Although it may be used without machine computation, the use of MATLAB is encouraged in a unique and innovative way.

LC Classification NumberQA184.2