The book is an introduction to Linear Algebra with an account of its principal applications. It is addressed to students of mathematics, the physical, engineering and social sciences, and commerce. The reader is assumed to have completed the calculus sequence. Special features of the book are th
A course in linear algebra with applications
โ Scribed by Derek J. S. Robinson
- Book ID
- 127453979
- Publisher
- World Scientific
- Year
- 2006
- Tongue
- English
- Weight
- 1 MB
- Edition
- 2nd ed
- Category
- Library
- City
- Singapore; Hackensack, NJ
- ISBN-13
- 9789812700247
No coin nor oath required. For personal study only.
โฆ Synopsis
This is the second edition of the best-selling introduction to linear algebra. Presupposing no knowledge beyond calculus, it provides a thorough treatment of all the basic concepts, such as vector space, linear transformation and inner product. The concept of a quotient space is introduced and related to solutions of linear system of equations, and a simplified treatment of Jordan normal form is given. Numerous applications of linear algebra are described, including systems of linear recurrence relations, systems of linear differential equations, Markov processes, and the Method of Least Squares. An entirely new chapter on linear programing introduces the reader to the simplex algorithm with emphasis on understanding the theory behind it. The book is addressed to students who wish to learn linear algebra, as well as to professionals who need to use the methods of the subject in their own fields.
๐ SIMILAR VOLUMES
This successful text is an introduction to the basic ideas and techniques of linear algebra for first- or second-year students who have a working knowledge of high school algebra (calculus is not a prerequisite). The author maintains a balance among the computational skills, theory, and application
A First Course in Linear Algebra is an introduction to the basic concepts of linear algebra, along with an introduction to the techniques of formal mathematics. It begins with systems of equations and matrix algebra before moving into the theory of abstract vector spaces, linear transformations and