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9780126801354

Linear Algebra with Mathematica

by
  • ISBN13:

    9780126801354

  • ISBN10:

    0126801355

  • Format: Hardcover
  • Copyright: 2000-01-31
  • Publisher: Elsevier Science
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Summary

Linear Algebra: An Introduction with Mathematica uses a matrix-based presentation and covers the standard topics any mathematician will need to understand linear algebra while using Mathematica. Development of analytical and computational skills is emphasized, and worked examples provide step-by-step methods for solving basic problems using Mathematica. The subject's rich pertinence to problem solving across disciplines is illustrated with applications in engineering, the natural sciences, computer animation, and statistics. * Includes a thematic presentation of linear algebra * Provides a systematic integration of Mathematica * Encourages students to appreciate the benefits of mathematical rigor * All exercises can be solved with Mathematica

Table of Contents

Using Mathematica 1(14)
Linear Systems
15(88)
Linear Equations
15(13)
Linear Systems
28(9)
Mathematica and Linear Systems
37(6)
Matrices and Linear Systems
43(11)
Augmented Matrices
54(8)
Row Echelon Matrices
62(7)
Reduced Row Echelon Matrices
69(5)
Matrix Equations
74(16)
Applications
90(11)
Review
101(2)
Matrix Algebra
103(104)
Introduction
103(5)
Basic Matrix Operations
108(17)
A Lexicon of Matrices
125(13)
Invertible Matrices
138(11)
Orthogonal Matrices
149(3)
Lu Decomposition
152(21)
Applications
173(30)
Review
203(4)
Determinants
207(40)
The Laplace Expansion
207(17)
Applications
224(20)
Review
244(3)
Vector Spaces
247(74)
Real Vector Spaces
247(8)
Bases And Dimension
255(36)
Subspaces
291(24)
Complex Vector Spaces
315(3)
Review
318(3)
Linear Transformations
321(54)
Linear Transformations
321(21)
Matrices of Linear Transformations
342(11)
Images and Kernels
353(14)
Similarity
367(4)
Review
371(4)
Eigenvalues and Eigenvectors
375(62)
Introduction
375(8)
Characteristic Polynomials
383(15)
Eigenspaces
398(14)
Diagonalizing Square Matrices
412(7)
Applications
419(15)
Review
434(3)
Norms and Inner Products
437(54)
Norms
438(12)
Real Inner Products
450(11)
Angles
461(9)
Quadratic Forms
470(15)
Complex Inner Products
485(3)
Review
488(3)
Orthogonality
491(68)
Orthogonal Vectors
491(9)
Orthogonal Bases
500(5)
Orthonormal Bases
505(5)
Or Decomposition
510(12)
Orthogonal Matrices
522(6)
Orthogonal Subspaces
528(6)
Orthogonal Transformations
534(13)
The Method of Least Squares
547(7)
Review
554(5)
Singular Values and Singular Vectors
559(1)
Singular Values
559(4)
Singular Value Decomposition
563(7)
Applications
570(20)
Review
590(1)
APPENDICES
A The Fundamental Theorem of Algebra
A-1(1)
B Numerical Calculations
B-1(1)
C Mathematical Induction
C-1(1)
D Sigma Notation
D-1(1)
E Mathematica Packages and Defined Functions
E-1(1)
F Answers To Selected Exercises
F-1(1)
Index I-1

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