
Linear Algebra and Its Applications, Global Edition
Pearson Education Limited (Publisher)
6th Edition
Published on 27. April 2022
Other
Undefined
978-1-292-41904-6 (ISBN)
Description
Learn key concepts of linear algebra to equip yourself in your studies and future career. Linear Algebra and Its Applications is an excellent introductory guide to the principles and foundations of practical linear algebra.
With its learner-friendly approach, the textbook starts with easier material, building confidence by introducing typically challenging concepts early on and gradually developing them. The book revisits those concepts throughout, ensuring you do not become overwhelmed when abstract concepts are introduced, as you progress with your learning.
With an array of exercises and questions to support your learning, this textbook provides the tools you need to build on your understanding of linear algebra and succeed in your studies.
With its learner-friendly approach, the textbook starts with easier material, building confidence by introducing typically challenging concepts early on and gradually developing them. The book revisits those concepts throughout, ensuring you do not become overwhelmed when abstract concepts are introduced, as you progress with your learning.
With an array of exercises and questions to support your learning, this textbook provides the tools you need to build on your understanding of linear algebra and succeed in your studies.
More details
Edition
6th edition
Language
English
Place of publication
Harlow
United Kingdom
Target group
College/higher education
ISBN-13
978-1-292-41904-6 (9781292419046)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
David C. Lay, University of Maryland-College Park
Steven R. Lay, Lee University
Judi J. McDonald, Washington State University
Steven R. Lay, Lee University
Judi J. McDonald, Washington State University
Content
Chapter 1 Linear Equations in Linear Algebra
Chapter 2 Matrix Algebra
Chapter 3 Determinants
Chapter 4 Vector Spaces
Chapter 5 Eigenvalues and Eigenvectors
Chapter 6 Orthogonality and Least Squares
Chapter 7 Symmetric Matrices and Quadratic Forms
Chapter 8 The Geometry of Vector Spaces
Chapter 9 Optimization
Chapter 10 Finite-State Markov Chains
Appendixes
Uniqueness of the Reduced Echelon Form
Complex Numbers
Glossary
Answers to Odd-Numbered Exercises
Chapter 2 Matrix Algebra
Chapter 3 Determinants
Chapter 4 Vector Spaces
Chapter 5 Eigenvalues and Eigenvectors
Chapter 6 Orthogonality and Least Squares
Chapter 7 Symmetric Matrices and Quadratic Forms
Chapter 8 The Geometry of Vector Spaces
Chapter 9 Optimization
Chapter 10 Finite-State Markov Chains
Appendixes
Uniqueness of the Reduced Echelon Form
Complex Numbers
Glossary
Answers to Odd-Numbered Exercises