• Title A First Course in Linear Algebra
• Author(s) Robert A Beezer
• Publisher: Congruent Press; 3 edition (December 5, 2012); eBook (December, 2015, Updated Continuously)
• License(s): GNU Free Documentation License (GFDL)
• Hardcover/Paperback 542 pages
• eBook HTML and PDF (645 pages)
• Language: English
• ISBN-10: 0984417559
• ISBN-13: 978-0984417551
• Share This:  

Book Description

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, eigenvalues, linear transformations and matrix representations. It has numerous worked examples and exercises, along with precise statements of definitions and complete proofs of every theorem, making it ideal for independent study.

• N/A

• Amazon
• Amazon (Linear Algebra, 2018 Edition)

• Linear and Matrix Algebra
• Computational and Algorithmic Mathematics
• Mathematical and Computational Software
• Number Theory
• Calculus and Mathematical Analysis

• A First Course in Linear Algebra (Robert A Beezer)
• The Mirror Site (1) - PDF

• A First Course in Linear Algebra (Ken Kuttler)

  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.

• 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.

• Fundamentals of Matrix Algebra (Gregory Hartman)

  A college (or advanced high school) level text dealing with the basic principles of matrix and linear algebra. It covers solving systems of linear equations, matrix arithmetic, the determinant, eigenvalues, and linear transformations.

• Matrix Algebra (Marco Taboga)

  This is a course in matrix algebra, with a focus on concepts that are often used in probability and statistics. Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory.

• Matrix Algebra with Computational Applications (Dirk Colbry)

  This book is designed to introduce students to the use of Linear Algebra to solve real-world problems. These materials were developed specifically for students and instructors that emphasizes hands-on problem-solving activities.

• Lecture Notes of Matrix Computations (Wen-Wei Lin)

  Thoroughly details matrix computations and the accompanying theory alongside the author's useful insights, This book provides a clear and thorough introduction to matrix computations,a key component of scientific computing.

• 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.