Introduction to Matrices and Linear Transformations

Third Edition

Nonfiction, Science & Nature, Mathematics, Matrices
Cover of the book Introduction to Matrices and Linear Transformations by Daniel T. Finkbeiner II, Dover Publications
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Author: Daniel T. Finkbeiner II ISBN: 9780486279664
Publisher: Dover Publications Publication: October 21, 2013
Imprint: Dover Publications Language: English
Author: Daniel T. Finkbeiner II
ISBN: 9780486279664
Publisher: Dover Publications
Publication: October 21, 2013
Imprint: Dover Publications
Language: English

This versatile undergraduate text can be used in a variety of courses in linear algebra. It contains enough material for a two-semester course, and it also serves as a support text and reference. Chapter Ten, on linear programming, will be of special interest to students of business and economics. A balanced combination of formal theory and related computational techniques, this treatment begins with the familiar problem of solving a system of linear equations. Subsequent chapters explore linear spaces and mappings, matrices, determinants, inner product spaces, scalar-valued functions, and linear differential equations. The author introduces metric notions of Euclidean space at an early stage and employs the computational technique of Gaussian elimination throughout the book. Solutions to selected exercises appear at the end.

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This versatile undergraduate text can be used in a variety of courses in linear algebra. It contains enough material for a two-semester course, and it also serves as a support text and reference. Chapter Ten, on linear programming, will be of special interest to students of business and economics. A balanced combination of formal theory and related computational techniques, this treatment begins with the familiar problem of solving a system of linear equations. Subsequent chapters explore linear spaces and mappings, matrices, determinants, inner product spaces, scalar-valued functions, and linear differential equations. The author introduces metric notions of Euclidean space at an early stage and employs the computational technique of Gaussian elimination throughout the book. Solutions to selected exercises appear at the end.

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