Linear Algebra With Applications
Linear Algebra With Applications
Linear Algebra With Applications
Linear Algebra With Applications is a comprehensive textbook designed for students studying linear algebra at the undergraduate level. This textbook covers all the essential topics of linear algebra, including vector spaces, matrices, determinants, eigenvalues, and eigenvectors. It also includes a wide range of applications of linear algebra in various fields such as engineering, physics, and economics.
The book is written in a clear and concise manner, making it easy for students to understand the concepts and apply them to real-world problems. Each chapter includes numerous examples and exercises to help students practice and reinforce their understanding of the material. The book also includes a chapter on computational techniques, providing students with the necessary tools to solve complex problems using technology.
Linear Algebra With Applications is authored by renowned mathematicians and educators, ensuring the accuracy and quality of the content. The book is available in both print and digital formats, making it accessible to students from all backgrounds. With its comprehensive coverage and practical approach, Linear Algebra With Applications is an essential resource for any student studying linear algebra.
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SKU:9781292354866
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Table of Content
Table of Content
1. Matrices andSystems of Equations
1.1 Systems of LinearEquations
1.2 Row Echelon Form
1.3 Matrix Arithmetic
1.4 Matrix Algebra
1.5 ElementaryMatrices
1.6 PartitionedMatrices
MATLAB Exercises
Chapter Test A — Trueor False
Chapter Test B
2. Determinants
2.1 The Determinantof a Matrix
2.2 Properties ofDeterminants
2.3 Additional Topicsand Applications
MATLAB Exercises
Chapter Test A — Trueor False
Chapter Test B
3. Vector Spaces
3.1 Definition andExamples
3.2 Subspaces
3.3 LinearIndependence
3.4 Basis and Dimension
3.5 Change of Basis
3.6 Row Space andColumn Space
MATLAB Exercises
Chapter Test A — Trueor False
Chapter Test B
4. LinearTransformations
4.1 Definition andExamples
4.2 MatrixRepresentations of Linear Transformations
4.3 Similarity
MATLAB Exercises
Chapter Test A — Trueor False
Chapter Test B
5. Orthogonality
5.1 The ScalarProduct in Rn
5.2 OrthogonalSubspaces
5.3 Least SquaresProblems
5.4 Inner ProductSpaces
5.5 Orthonormal Sets
5.6 The Gram-SchmidtOrthogonalization Process
5.7 OrthogonalPolynomials
MATLAB Exercises
Chapter Test A — Trueor False
Chapter Test B
6. Eigenvalues
6.1 Eigenvalues andEigenvectors
6.2 Systems of LinearDifferential Equations
6.3 Diagonalization
6.4 HermitianMatrices
6.5 The SingularValue Decomposition
6.6 Quadratic Forms
6.7 Positive DefiniteMatrices
6.8 NonnegativeMatrices
MATLAB Exercises
Chapter Test A — Trueor False
Chapter Test B
7. Numerical LinearAlgebra
7.1 Floating-PointNumbers
7.2 GaussianElimination
7.3 Pivoting Strategies
7.4 Matrix Norms andCondition Numbers
7.5 OrthogonalTransformations
7.6 The EigenvalueProblem
7.7 Least SquaresProblems
7.8 Iterative Methods
MATLAB Exercises
Chapter Test A — Trueor False
Chapter Test B
8. Canonical Forms
8.1 Nilpotent Operators
8.2 The JordanCanonical Form
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