Linear Algebra

Paperback | January 5, 1995

byReg AllenbyEditorReg Allenby

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As the basis of equations and therefore problem-solving , linear algebra is the most widely taught sub-division of pure mathematics. Dr Allenby has used his experience of teaching linear algebra to write a lively book on the subject that includes historical information about the founders of the subject as well as giving a basic introduction to the mathematics undergraduate. The whole text has been written in a connected way with ideas introduced as they occur naturally. As with the other books in the series, there are many worked examples.Solutions to the exercises are available online:* The full set of solutions for lecturers only is available for download on a password protected website at http://textbooks.elsevier.com/* readers are freely accessible at http://books.elsevier.com/companions/0340610441.

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From the Publisher

As the basis of equations and therefore problem-solving , linear algebra is the most widely taught sub-division of pure mathematics. Dr Allenby has used his experience of teaching linear algebra to write a lively book on the subject that includes historical information about the founders of the subject as well as giving a basic introdu...

From the Jacket

As the basis of equation and problem solving, linear algebra is the most widely taught subdivision of pure mathematics. The author has used his experience of teaching this subject to write a lively book that includes historical information about the founders of the subject as well as giving a basic introduction to the mathematics under...

Format:PaperbackDimensions:240 pages, 9.63 × 6.75 × 0.68 inPublished:January 5, 1995

The following ISBNs are associated with this title:

ISBN - 10:0340610441

ISBN - 13:9780340610442

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Table of Contents

Systems of simultaneous linear equations * Matrices * The arithmetic of matrices * Multiplicative inverses of matrices * Determinants * Real vector spaces * Subspaces and linear combinations * Linear dependence and independence * Bases * Linear transformations * Linear transformations and matrices * Eigenvalues and Eigenvectors * Appendix * Index.