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Matrix Methods Applied Linear Algebra

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ISBN-10: 012374427X

ISBN-13: 9780123744272

Edition: 3rd 2009

Authors: Richard Bronson, Gabriel B. Costa

List price: $94.95
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Description:

Matrix Methods: Applied Linear Algebra, 3e, as a textbook, provides a unique and comprehensive balance between the theory and computation of matrices. The application of matrices is not just for mathematicians. The use by other disciplines has grown dramatically over the years in response to the rapid changes in technology. Matrix methods is the essence of linear algebra and is what is used to help physical scientists; chemists, physicists, engineers, statisticians, and economists solve real world problems. * Applications like Markov chains, graph theory and Leontief Models are placed in early chapters * Readability- The prerequisite for most of the material is a firm understanding of…    
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Book details

List price: $94.95
Edition: 3rd
Copyright year: 2009
Publisher: Elsevier Science & Technology
Publication date: 12/5/2008
Binding: Hardcover
Pages: 432
Size: 7.50" wide x 9.21" long x 1.00" tall
Weight: 1.980
Language: English

Preface
About the Authors
Acknowledgments
Matrices
Basic Concepts
Problems 1.1
Operations
Problems 1.2
Matrix Multiplication
Problems 1.3
Special Matrices
Problems 1.4
Submatrices and Partitioning
Problems 1.5
Vectors
Problems 1.6
The Geometry of Vectors
Problems 1.7
Simultaneous Linear Equations
Linear Systems
Problems 2.1
Solutions by Substitution
Problems 2.2
Gaussian Elimination
Problems 2.3
Pivoting Strategies
Problems 2.4
Linear Independence
Problems 2.5
Rank
Problems 2.6
Theory of Solutions
Problems 2.7
Final Comments on Chapter 2
The Inverse
Introduction
Problems 3.1
Calculating Inverses
Problems 3.2
Simultaneous Equations
Problems 3.3
Properties of the Inverse
Problems 3.4
LU Decomposition
Problems 3.5
Final Comments on Chapter 3
An Introduction to Optimization
Graphing Inequalities
Problems 4.1
Modeling with Inequalities
Problems 4.2
Solving Problems Using Linear Programming
Problems 4.3
An Introduction to The Simplex Method
Problems 4.4
Final Comments on Chapter 4
Determinants
Introduction
Problems 5.1
Expansion by Cofactors
Problems 5.2
Properties of Determinants
Problems 5.3
Pivotal Condensation
Problems 5.4
Inversion
Problems 5.5
Cramer's Rule
Problems 5.6
Final Comments on Chapter 5
Eigenvalues and Eigenvectors
Definitions
Problems 6.1
Eigenvalues
Problems 6.2
Eigenvectors
Problems 6.3
Properties of Eigenvalues and Eigenvectors
Problems 6.4
Linearly Independent Eigenvectors
Problems 6.5
Power Methods
Problems 6.6
Matrix Calculus
Well-Defined Functions
Prblems 7.1
Cayley-Hamilton Theorem
Problems 7.2
Polynomials of Matrices-Distinct Eigenvalues
Problems 7.3
Polynomials of Matrices-General Case
Problems 7.4
Functions of a Matrix
Problems 7.5
The Function e[superscript At]
Problems 7.6
Complex Eigenvalues
Problems 7.7
Properties of e[superscript A]
Problems 7.8
Derivatives of a Matrix
Problems 7.9
Final Comments on Chapter 7
Linear Differential Equations
Fundamental Form
Problems 8.1
Reduction of an nth Order Equation
Problems 8.2
Reduction of a System
Problems 8.3
Solutions of Systems with Constant Coefficients
Problems 8.4
Solutions of Systems-General Case
Problems 8.5
Final Comments on Chapter 8
Probability and Markov Chains
Probability: An Informal Approach
Problems 9.1
Some Laws of Probability
Problems 9.2
Bernoulli Trials and Combinatorics
Problems 9.3
Modeling with Markov Chains: An Introduction
Problems 9.4
Final Comments on Chapter 9
Real Inner Products and Least-Square
Introduction
Problems 10.1
Orthonormal Vectors
Problems 10.2
Projections and QR-Decompositions
Problems 10.3
The QR-Algorithm
Problems 10.4
Least-Squares
Problems 10.5
A Word on Technology
Answers and Hints to Selected Problems
Index