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9780763732356

Linear Algebra with Applications

by
  • ISBN13:

    9780763732356

  • ISBN10:

    0763732354

  • Edition: 5th
  • Format: Hardcover
  • Copyright: 2004-09-01
  • Publisher: Jones & Bartlett
  • View Upgraded Edition

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Summary

Linear Algebra with Applications, Fifth Edition is designed for an introductory course in linear algebra.

Table of Contents

Systems of Linear Equations
1(42)
Matrices and Systems of Linear Equations
2(14)
Gauss-Jordan Elimination
16(12)
Curve Fitting, Electrical Networks, and Traffic Flow
28(15)
Chapter 1 Review Exercises
39(4)
Matrices
43(88)
Addition, Scalar Multiplication, and Multiplication of Matrices
44(17)
Algebraic Properties of Matrix Operations
61(13)
Symmetric Matrices and Seriation in Archaeology
74(12)
The Inverse of a Matrix and Cryptography
86(16)
The Leontief Input-Output Model in Economics
102(6)
Markov Chains, Population Movements, and Genetics
108(9)
A Communication Model and Group Relationships in Sociology
117(14)
Chapter 2 Review Exercises
128(3)
Determinants
131(36)
Introduction to Determinants
132(9)
Properties of Determinants
141(7)
Numerical Evaluation of a Determinant
148(5)
Determinants, Matrix Inverses, and Systems of Linear Equations
153(14)
Chapter 3 Review Exercises
161(6)
Vector Spaces
167(104)
The Vector Space Rn
168(10)
Dot Product, Norm, Angle, and Distance
178(15)
General Vector Spaces
193(7)
Subspaces
200(7)
Linear Combinations of Vectors
207(14)
Linear Dependence and Independence
221(7)
Basis and Dimension
228(11)
Rank of a Matrix
239(12)
Orthonormal Vectors and Projections in Rn
251(20)
Chapter 4 Review Exercises
265(6)
Eigenvalues and Eigenvectors
271(42)
Eigenvalues and Eigenvectors
272(7)
Demography and Weather Prediction
279(7)
Diagonalization of Matrices
286(11)
Quadratic Forms, Difference Equations, and Normal Modes
297(16)
Chapter 5 Review Exercises
312(1)
Linear Transformations
313(78)
Introduction to Linear Transformations
314(9)
Matrix Transformations, Computer Graphics, and Fractals
323(21)
Kernel and Range
344(12)
Transformations and Systems of Linear Equations
356(9)
Coordinate Vectors
365(10)
Matrix Representations of Linear Transformations
375(16)
Chapter 6 Review Exercises
388(3)
Inner Product Spaces
391(40)
Inner Product Spaces
392(10)
Non-Euclidean Geometry and Special Relativity
402(7)
Approximation of Functions and Coding Theory
409(8)
Least-Squares Curves
417(14)
Chapter 7 Review Exercises
430(1)
Numerical Techniques
431(46)
Gaussian Elimination
432(6)
The Method of LU Decomposition
438(8)
Practical Difficulties in Solving systems of Equations
446(11)
Iterative Methods for Solving Systems of Linear Equations
457(6)
Eigenvalues by Iteration; Connectivity of Networks
463(14)
Chapter 8 Review Exercises
475(2)
Linear Programming
477(26)
A Geometrical Introduction to Linear Programming
478(9)
The Simplex Method
487(7)
Geometrical Explanation of the Simplex Method
494(9)
Chapter 9 Review Exercises
501(2)
Appendix A Cross Product
503(12)
Appendix B Equations of Planes and Lines in Three-Space
515(8)
Appendix C Graphing Calculator Manual
523(6)
C.1 Reduced Echelon Form of a Matrix (Sections 1.1, 1.2)
524(1)
C.2 Matrix Operations (Sections 2.1, 2.2)
524(1)
C.3 Powers of a Matrix (Section 2.2)
525(1)
C.4 Transpose of a Matrix (Section 2.3)
525(1)
C.5 Inverse of a Matrix (Section 2.4)
526(1)
C.6 Determinant of a Matrix (Section 3.1)
526(1)
C.7 Summary of Formats for Row Operations (Sections 1.1, 1.2)
527(2)
Appendix D MATLAB Manual
529(62)
D.1 Entering and Displaying a Matrix (Section 1.1)
530(1)
D.2 Solving Systems of Linear Equations (Sections 1.1, 1.2, 1.3)
531(4)
D.3 Matrix Operations, Submatrices, Rows and Columns (Sections 2.1, 2.2, 2.3)
535(1)
D.4 Matrix Operations (Sections 2.1, 2.2, 2.3)
535(4)
D.5 Computational Considerations (Section 2.2)
539(1)
D.6 Inverse of a Matrix (Section 2.4)
540(2)
D.7 Solving Systems of Equations Using Matrix Inverse (Section 2.4)
542(3)
D.8 Cryptography (Section 2.4)
545(1)
D.9 Leontief I/O Model (Section 2.5)
546(2)
D.10 Markov Chains (Sections 2.6, 6.2)
548(3)
D.11 Digraphs (Section 2.7)
551(2)
D.12 Determinants (Sections 3.1, 3.2, 3.3)
553(1)
D.13 Cramer's Rule (Section 3.4)
554(3)
D.14 Linear Combinations, Linear Dependence, Basis (Sections 4.5-4.7)
557(2)
D.15 Projection, Gram-Schmidt Orthogonalization (Section 4.8)
559(5)
D.16 Eigenvalues and Eigenvectors and Applications (Sections 5.1-5.4)
564(1)
D.17 Transformations Defined by Matrices (Sections 6.1, 6.2)
564(1)
D.18 Fractals (Section 6.2)
565(3)
D.19 Kernel and Range (Section 6.3)
568(1)
D.20 Inner Product, Non-Euclidean Geometry (Sections 7.1, 7.2)
569(3)
D.21 Space-Time Travel (Section 7.2)
572(2)
D.22 Pseudoinverse and Least-Squares Curves (Section 7.4)
574(4)
D.23 LU Decomposition (Section 8.2)
578(3)
D.24 Condition Number of a Matrix (Section 8.3)
581(2)
D.25 Jacobi and Gauss-Seidel Iterative Methods (Section 8.4)
583(3)
D.26 The Simplex Method in Linear Programming (Section 9.2)
D.27 Cross Product (Appendix A)
586(2)
D.28 MATLAB Commands, Functions, and M-files
588(1)
D.29 Linear Algebra with Applications Toolbox M-files
588(3)
Answers to Selected Exercises 591(66)
Index 657

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The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

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