Processing ......
FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
 
A First Course in Linear Algebra
Top Free Mathematics Books 🌠 - 100% Free or Open Source!
  • Title: A First Course in Linear Algebra
  • Author(s) Ken Kuttler
  • Publisher: CreateSpace (2017); eBook (10th Anniversary Edition; Creative Commons Licensed)
  • License(s): Creative Commons License (CC)
  • Hardcover/Paperback: 604 pages
  • eBook: PDF (608 pages)
  • Language: English
  • ISBN-10: 1542895529
  • ISBN-13: 978-1542895521
  • Share This:  

Book Description

The book presents an introduction to the fascinating subject of linear algebra. As the title suggests, this text is designed as a first course in linear algebra for students who have a reasonable understanding of basic algebra. Major topics of linear algebra are presented in detail, with proofs of important theorems provided.

This text intends to transform students from passive observers of mathematics to participants in it. The book employs a spiral development of ideas to blend the requirements of problem solving, analytical thinking, computational technique, and applications, and emphasizes the interplay of algebraic and geometric concepts. It includes an extensive number of exercises, ranging from routine to challenging

About the Authors
  • Ken Kuttler, Professor of Mathematics at Bringham Young University. University of Texas at Austin, Ph.D. in Mathematics.
Reviews, Ratings, and Recommendations: Related Book Categories: Read and Download Links: Similar Books:
  • A First Course in Linear Algebra (Robert A Beezer)

    Linear Algebra: Foundations to Frontiers (LAFF) is packed full of challenging, rewarding material that is essential for mathematicians, engineers, scientists, and anyone working with large datasets.

  • Linear Algebra (Jim Hefferon)

    This textbook covers linear systems and Gauss' method, vector spaces, linear maps and matrices, determinants, and eigenvectors and eigenvalues. Each chapter has three or four discussions of additional topics and applications.

  • Linear Algebra, Theory And Applications (Kenneth Kuttler)

    This is a book on linear algebra and matrix theory. It gives a self- contained treatment of linear algebra with many of its most important applications which does not neglect arbitrary fields of scalars and the proofs of the theorems.

  • Applied and Computational Linear Algebra: A First Course

    This book is intended as a text for a graduate course that focuses on applications of linear algebra and on the algorithms used to solve the problems that arise in those applications. It uses matrix theory to understand the workings of the algorithms.

  • Advanced Linear Algebra: Foundations to Frontiers (Robert Geijn)

    The focus is on numerical linear algebra, the study of how theory, algorithms, and computer arithmetic interact. These materials keep the learner engaged by intertwining text, videos, exercises, and programming activities in consumable chunks.

  • Linear Algebra: Foundations to Frontiers (M. Myers, et al.)

    This book 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 advanced topics.

  • Computational Linear Algebra and N-dimensional Geometry

    This undergraduate textbook on Linear Algebra and n-Dimensional Geometry, in a self-teaching style, is invaluable for sophomore level undergraduates in mathematics, engineering, business, and the sciences.

  • Computational Methods of Linear Algebra (V. N. Faddeeva)

    This book presents methods for the computational solution of some important problems of linear algebra: linear systems, linear least squares problems, eigenvalue problems, and linear programming problems.

  • Linear Algebra with Applications (W. Keith Nicholson)

    The aim of the text is to achieve a balance among computational skills, theory, and applications of linear algebra. It is a relatively advanced introduction to the ideas and techniques of linear algebra targeted for science and engineering students.

  • Applied Linear Algebra: Vectors, Matrices, and Least Squares

    Combines straightforward explanations with a wealth of practical examples to offer an innovative approach to teaching linear algebra. Requiring no prior knowledge of the subject, it covers the aspects of linear algebra - vectors, matrices, and least squares

  • Linear Algebra: A Course for Physicists and Engineers (Arak Mathai)

    This textbook on linear algebra is written to be easy to digest by non-mathematicians. It introduces the concepts of vector spaces and mappings between them without too much theorems and proofs. Various applications of the formal theory are discussed as well.

  • Applied Linear Algebra in Action (Vasilios N. Katsikis)

    This textbook contains a collection of six high-quality chapters. The techniques are illustrated by a wide sample of applications. This book is devoted to Linear Mathematics by presenting problems in Applied Linear Algebra of general or special interest.

  • Linear Algebra as an Introduction to Abstract Mathematics

    This book aims to bridge the gap between the mainly computation-oriented lower division undergraduate classes and the abstract mathematics encountered in more advanced mathematics courses.

  • Linear Algebra - Theorems and Applications (Hassan Abid Yasser)

    This book contains selected topics in linear algebra, which represent the recent contributions in the most famous and widely problems. It includes a wide range of theorems and applications in different branches of linear algebra, etc.

  • Analysis and Linear Algebra for Finance (Patrick Roger)

    This book presents the elements of analysis and linear algebra used in financial models and in microeconomics. Functions of one and several variables and matrices are developed as well as vector spaces, linear mappings and optimization methods, etc.

Book Categories
:
Other Categories
Resources and Links