Introductory linear algebra with applications

by Bernard Kolman

This text provides an introduction to the basic ideas, computational techniques, and applications of linear algebra. The most applied of our basic texts in this market, this text has a superb range of problem sets. Also, this book is extremely technology-friendly, integrating optional CAS and a robust website. Topics covered include wavelets; the Leslie Population Model; fractals; dynamical systems; linear equations and matrices; determinants; vectors; eigenvalues and eigenvectors; linear transformations and matrices; linear programming; and more. Ideal as an introduction to Linear Algebra.

Genres: Mathematics, School

505 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 · Rating 2 out of 5]

better read this book if you don't understand your teacher...bwahaha :P

[Bilal · Rating 1 out of 5]

its good

[Hassham Saqib]

good

[Muhammad Ureed · Rating 5 out of 5]

nice one book

[Emilio · Rating 1 out of 5]

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

[DJ · Rating 3 out of 5]

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

[Umer Jan · Rating 5 out of 5]

its an auesome book

[Fatima Siddiqui · Rating 5 out of 5]

It's an awesome book....really helped me to understand algebra.

[Talha]

good

[Hassan · Rating 1 out of 5]

wNT TO READ

[Mansoor Asdia]

because this is the good for math knownlgde

[Shaista]

good

[Heba]

good

[Najam Ul · Rating 5 out of 5]

Very Nice and easy book to read

[Jaci · Rating 5 out of 5]

Este libro es de gran ayuda porque tiene una gran cantidad de teoremas demostrados.

[KongPop Lee · Rating 5 out of 5]

so good

[Malik Ibrar]

ok

[Asim Ehtisham]

nnnn

[Muhammad Fayaz]

not download only to read