Introductory Linear Algebra: An Applied First Course

by Bernard Kolman, David R. Hill

This book presents an introduction to linear algebra and to some of its significant applications. It covers the essentials of linear algebra (including Eigenvalues and Eigenvectors) and shows how the computer is used for applications. Emphasizing the computational and geometrical aspects of the subject, this popular book covers the following topics comprehensively but not exhaustively: linear equations and matrices and their applications; determinants; vectors and linear transformations; real vector spaces; eigenvalues, eigenvectors, and diagonalization; linear programming; and MATLAB for linear algebra. Its useful and comprehensive appendices make this an excellent desk reference for anyone involved in mathematics and computer applications.

Genres: Mathematics, Engineering, School

648 pages, Hardcover

First published January 1, 1988

About the author

Bernard Kolman received his B.S. (summa cum laude with honors in mathematics and physics) from Brooklyn College in 1954, his Sc.M. from Brown University in 1956, and his Ph.D. from the University of Pennsylvania in 1965, all in mathematics. During the summers of 1955 and 1956, he worked as a mathematician for the U.S. Navy, and IBM, respectively, in areas of numerical analysis and simulation. From 1957-1964, he was employed by the UNIVAC Division of Sperry Rand Corporation, working in the areas of operations research, numerical analysis, and discrete mathematics. He has also had extensive experience as a consultant to industry in operations research. From 1964-1998, he was a member of the Mathematics Department at Drexel University, where he also served as Acting Head of this department. Since 1964, his research activities have been in the areas of Lie algebras and operations research.

Professor Kolman is the author of numerous papers, primarily in Lie algebras, and has organized several conferences in this area. He is also well known as the author of many mathematics textbooks that are used worldwide and have been translated into other languages.

Reviews

[Bach]

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Como posible futuro ingeniero digo: Cálculo mi patria, álgebra mi condena.

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This book didn't seem too awful. But it pales in comparison to Strang's book.

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[Jc]

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