Linear Algebra A Modern Introduction 4th Edition by David Poole – Ebook PDF Instant Download/Delivery: 1285463247 , 978-1285463247
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ISBN 10: 1285463247
ISBN 13: 978-1285463247
Author: David Poole
Linear Algebra A Modern Introduction 4th Table of contents:
1. VECTORS.
Introduction: The Racetrack Game.
The Geometry and Algebra of Vectors.
Length and Angle: The Dot Product. Exploration: Vectors and Geometry.
Lines and Planes. Exploration: The Cross Product.
Writing Project: Origins of the Dot Product and the Cross Product. Applications.
2. SYSTEMS OF LINEAR EQUATIONS.
Introduction: Triviality. Introduction to Systems of Linear Equations. Direct Methods for Solving Linear Systems.
Writing Project: A History of Gaussian Elimination. Explorations: Lies My Computer Told Me; Partial Pivoting; Counting Operations: An Introduction to the Analysis of Algorithms.
Spanning Sets and Linear Independence.
Applications.
Vignette: The Global Positioning System.
Iterative Methods for Solving Linear Systems.
3. MATRICES.
Introduction: Matrices in Action.
Matrix Operations. Matrix Algebra.
The Inverse of a Matrix.
The LU Factorization. Subspaces, Basis, Dimension, and Rank.
Introduction to Linear Transformations.
Vignette: Robotics. Applications.
4. EIGENVALUES AND EIGENVECTORS.
Introduction: A Dynamical System on Graphs.
Introduction to Eigenvalues and Eigenvectors.
Determinants.
Writing Project: Which Came First-the Matrix or the Determinant?
Vignette: Lewis Carroll’s Condensation Method.
5. ORTHOGONALITY.
Introduction: Shadows on a Wall.
Orthogonality in Rn.
Orthogonal Complements and Orthogonal Projections.
The Gram-Schmidt Process and the QR Factorization.
Explorations: The Modified QR Factorization;
6. VECTOR SPACES.
Introduction: Fibonacci in (Vector) Space.
Vector Spaces and Subspaces.
Linear Independence, Basis, and Dimension.
Writing Project: The Rise of Vector Spaces.
Exploration: Magic Squares. Change of Basis. Linear Transformations.
The Kernel and Range of a Linear Transformation.
The Matrix of a Linear Transformation.
7. DISTANCE AND APPROXIMATION.
Introduction: Taxicab Geometry.
Inner Product Spaces.
Explorations: Vectors and Matrices with Complex Entries;
Geometric Inequalities and Optimization Problems.
Norms and Distance Functions.
8. CODES.
(Online) Code Vectors.
Vignette: The Codabar System.
Error-Correcting Codes.
Dual Codes.
Linear Codes.
The Minimum Distance of a Code.
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