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Elementary Linear Algebra 8e Ron Larson 8th edition

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Item specifics

Condition
Very Good: A book that has been read and does not look new, but is in excellent condition. No ...
Subject Area
Mathematics
ISBN
9781305658004
Publication Name
Elementary Linear Algebra
Publisher
Brooks/Cole
Item Length
11.2 in
Subject
Algebra / Linear
Publication Year
2016
Series
Mindtap Course List Ser.
Type
Textbook
Format
Hardcover
Language
English
Item Height
0.9 in
Author
Ron Larson
Item Weight
41.7 Oz
Item Width
8.8 in
Number of Pages
592 Pages

About this product

Product Information

ELEMENTARY LINEAR ALGEBRAs clear, careful, and concise presentation of material helps you fully understand how mathematics works. The author balances theory with examples, applications, and geometric intuition for a complete, step-by-step learning system. To engage you in the material, a new design highlights the relevance of the mathematics and makes the book easier to read. Data and applications reflect current statistics and examples, demonstrating the link between theory and practice. The companion website LarsonLinearAlgebra.com offers free access to multiple study tools and resources. CalcChat.com offers free step-by-step solutions to the odd-numbered exercises in the text.

Product Identifiers

Publisher
Brooks/Cole
ISBN-10
1305658000
ISBN-13
9781305658004
eBay Product ID (ePID)
219664014

Product Key Features

Number of Pages
592 Pages
Language
English
Publication Name
Elementary Linear Algebra
Publication Year
2016
Subject
Algebra / Linear
Type
Textbook
Subject Area
Mathematics
Author
Ron Larson
Series
Mindtap Course List Ser.
Format
Hardcover

Dimensions

Item Height
0.9 in
Item Weight
41.7 Oz
Item Length
11.2 in
Item Width
8.8 in

Additional Product Features

Edition Number
8
LCCN
2015-944033
Dewey Edition
23
Target Audience
College Audience
Illustrated
Yes
Dewey Decimal
512/.5
Lc Classification Number
Qa184.2.L39 2016
Table of Content
1. SYSTEMS OF LINEAR EQUATIONS. Introduction to Systems of Equations. Gaussian Elimination and Gauss-Jordan Elimination. Applications of Systems of Linear Equations. 2. MATRICES. Operations with Matrices. Properties of Matrix Operations. The Inverse of a Matrix. Elementary Matrices. Markov Chains. Applications of Matrix Operations. 3. DETERMINANTS. The Determinant of a Matrix. Evaluation of a Determinant Using Elementary Operations. Properties of Determinants. Applications of Determinants. 4. VECTOR SPACES. Vectors in Rn. Vector Spaces. Subspaces of Vector Spaces. Spanning Sets and Linear Independence. Basis and Dimension. Rank of a Matrix and Systems of Linear Equations. Coordinates and Change of Basis. Applications of Vector Spaces. 5. INNER PRODUCT SPACES. Length and Dot Product in Rn. Inner Product Spaces. Orthogonal Bases: Gram-Schmidt Process. Mathematical Models and Least Squares Analysis. Applications of Inner Product Spaces. 6. LINEAR TRANSFORMATIONS. Introduction to Linear Transformations. The Kernel and Range of a Linear Transformation. Matrices for Linear Transformations. Transition Matrices and Similarity. Applications of Linear Transformations. 7. EIGENVALUES AND EIGENVECTORS. Eigenvalues and Eigenvectors. Diagonalization. Symmetric Matrices and Orthogonal Diagonalization. Applications of Eigenvalues and Eigenvectors. 8. COMPLEX VECTOR SPACES (online). Complex Numbers. Conjugates and Division of Complex Numbers. Polar Form and Demoivres Theorem. Complex Vector Spaces and Inner Products. Unitary and Hermitian Spaces. 9. LINEAR PROGRAMMING (online). Systems of Linear Inequalities. Linear Programming Involving Two Variables. The Simplex Method: Maximization. The Simplex Method: Minimization. The Simplex Method: Mixed Constraints. 10. NUMERICAL METHODS (online). Gaussian Elimination with Partial Pivoting. Iterative Methods for Solving Linear Systems. Power Method for Approximating Eigenvalues. Applications of Numerical Methods.
Copyright Date
2017

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