• Title: Exercises and Problems in Linear Algebra
• Author(s) John M Erdman
• Publisher: World Scientific Pub Co Inc (October 13, 2020); eBook (Final Draft)
• Paperback: 220 pages
• eBook: PDF
• Language: English
• ISBN-10: 9811220409
• ISBN-13: 978-9811220401
• Share This:  

Book Description

This book contains an extensive collection of exercises and problems that address relevant topics in linear algebra. The exercises will be both interesting and helpful to an average student.

• N/A

• Amazon

• Linear and Matrix Algebra
• Number Theory
• Calculus and Mathematical Analysis

• Exercises and Problems in Linear Algebra (John M Erdman)
• The Mirror Site (1) - PDF
• The Mirror Site (2) - PDF

• Linear Algebra Done Right (Sheldon Axler)

  The text focuses on the central goal of linear algebra: understanding the structure of linear operators on finite-dimensional vector spaces. The author has taken unusual care to motivate concepts and simplify proofs.

• Understanding Linear Algebra (David Austin)

  The text aims to support readers as they develop their ability to think about linear algebra conceptually, their computational fluency (with SageMath), and their understanding of the role that linear algebra plays in shaping our society.

• Linear Algebra with Python (Sean Fitzpatrick)

  This textbook is for those who want to learn linear algebra from the basics. Python is used throughout the book to explain linear algebra. Learning with Python interactively, readers will naturally become accustomed to Python coding.

• 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.

• 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.

• 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 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.