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Linear Algebra and Its Applications (2nd Edition) - Hardcover - GOOD

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Item specifics

Condition
Good: A book that has been read but is in good condition. Very minimal damage to the cover including ...
Brand
Unbranded
Book Title
Linear Algebra and Its Applications (2nd Edition)
MPN
Does not apply
ISBN
9780201347746
Subject Area
Mathematics
Publication Name
Linear Algebra and Its Applications
Item Length
9.4 in
Publisher
Addison-Wesley Longman, Incorporated
Subject
Algebra / Linear, General
Publication Year
1999
Type
Textbook
Format
CD-ROM / Trade Paperback
Language
English
Item Height
1 in
Author
David C. Lay
Features
Revised
Item Width
8.2 in
Item Weight
41.7 Oz
Number of Pages
555 Pages

About this product

Product Information

Linear algebra is relatively easy for students during the early stages of the course, when the material is presented in a familiar, concrete setting. But when abstract concepts are introduced, students often hit a brick wall. Instructors seem to agree that certain concepts (such as linear independence, spanning, subspace, vector space, and linear transformations), are not easily understood, and require time to assimilate. Since they are fundamental to the study of linear algebra, students' understanding of these concepts is vital to their mastery of the subject. Lay introduces these concepts early in a familiar, concrete Rn setting, develops them gradually, and returns to them again and again throughout the text. Finally, when discussed in the abstract, these concepts are more accessible. Students conceptual understanding is reinforced through True/False questions, practice problems, and the use of technology. David Lay changed the study of linear algebra with the execution of this philosophy, and continues his quest to improve the way linear algebra is taught with the new Updated Second Edition. With this update he takes the instruction of linear algebra to a new level through inc

Product Identifiers

Publisher
Addison-Wesley Longman, Incorporated
ISBN-10
0201347741
ISBN-13
9780201347746
eBay Product ID (ePID)
1163834

Product Key Features

Author
David C. Lay
Publication Name
Linear Algebra and Its Applications
Format
CD-ROM / Trade Paperback
Language
English
Features
Revised
Subject
Algebra / Linear, General
Publication Year
1999
Type
Textbook
Subject Area
Mathematics
Number of Pages
555 Pages

Dimensions

Item Length
9.4 in
Item Height
1 in
Item Width
8.2 in
Item Weight
41.7 Oz

Additional Product Features

Edition Number
2
LCCN
99-037547
Lc Classification Number
Qa184.L397 2000
Edition Description
Revised Edition
Table of Content
( Each chapter begins with an Introductory Example and ends with Supplementary Exercises. ) 1. Linear Equations In Linear Algebra. Introductory Example: Linear Models in Economics and Engineering.Systems of Linear Equations.Row Reduction and Echelon Forms.Vector Equations.The Matrix Equation Ax = b.Solution Sets of Linear Systems.Linear Independence.Introduction to Linear Transformations.The Matrix of a Linear Transformation.Linear Models in Business, Science, and Engineering.Supplementary Exercises . 2. Matrix Algebra. Introductory Example: Computer Graphics in Automotive Design.Matrix Operations.The Inverse of a Matrix.Characterizations of Invertible Matrices.Partitioned Matrices.Matrix Factorizations.Iterative Solutions of Linear Systems.The Leontief Input-Output Model.Applications to Computer Graphics.Subspaces of Rn.Supplementary Exercises . 3. Determinants. Introductory Example: Determinants in Analytic Geometry.Introduction to Determinants.Properties of Determinants.Cramers Rule, Volume, and Linear Transformations.Supplementary Exercises. 4. Vector Spaces. Introductory Example: Space Flight and Control Systems.Vector Spaces and Subspaces.Null Spaces, Column Spaces, and Linear Transformations.Linearly Independent Sets; Bases.Coordinate Systems.The Dimension of a Vector Space.Rank.Change of Basis.Applications to Difference Equations.Applications to Markov Chains.Supplementary Exercises. 5. Eigenvalues and Eigenvectors. Introductory Example: Dynamical Systems and Spotted Owls.Eigenvectors and Eigenvalues.The Characteristic Equation.Diagonalization.Eigenvectors and Linear Transformations.Complex Eigenvalues.Discrete Dynamical Systems.Applications to Differential Equations.Iterative Estimates for Eigenvalues.Supplementary Exercises. 6. Orthogonality and Least-Squares. Introductory Example: Readjusting the North American Datum.Inner Product, Length, and Orthogonality.Orthogonal Sets.Orthogonal Projections.The Gram-Schmidt Process.Least-Squares Problems.Applications to Linear Models.Inner Product Spaces.Applications of Inner Product Spaces.Supplementary Exercises. 7. Symmetric Matrices and Quadratic Forms. Introductory Example: Multichannel Image Processing.Diagonalization of Symmetric Matrices.Quadratic Forms.Constrained Optimization.The Singular Value Decomposition.Applications to Image Processing and Statistics.Supplementary Exercises. Appendices. Uniqueness of the Reduced Echelon Form.Complex Numbers. Glossary. Answers to Odd-Numbered Exercises. Index.
Copyright Date
2000
Target Audience
College Audience
Dewey Decimal
512/.5
Dewey Edition
21

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  • Explains it fully

    As a student of quantum physics a good understanding of linear algebra is essential. Iā€™d recommend it to others in the sciences, engineering & mathematics.

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  • EXCELLENT

    Sharp approach and valuable applications. Its high level could be difficult for some students at least at the beginning.