Arming readers with both theoretical and practical knowledge, Advanced Linear Algebra for Engineers with MATLAB® provides real-life problems that readers can use to model and solve engineering and scientific problems in fields ranging from signal processing and communications to electromagnetics and social and health sciences.
Facilitating a unique understanding of rapidly evolving linear algebra and matrix methods, this book:
Striking the appropriate balance between theory and real-life applications, this book provides both advanced students and professionals in the field with a valuable reference that they will continually consult.
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Matrices, Matrix Algebra, and Elementary Matrix Operations
Basic Concepts and Notation
Matrix Algebra
Elementary Row Operations
Solution of System of Linear Equations
Matrix Partitions
Block Multiplication
Inner, Outer, and Kronecker Products
Determinants, Matrix Inversion and Solutions to Systems of Linear Equations
Determinant of a Matrix
Matrix Inversion
Solution of Simultaneous Linear Equations
Applications: Circuit Analysis
Homogeneous Coordinates System
Rank, Null Space and Invertibility of Matrices
Special Matrices with Applications
Derivatives and Gradients
Linear Vector Spaces
Linear Vector Space
Span of a Set of Vectors
Normed Vector Spaces
Inner Product Spaces
Orthogonality
Matrix Factorization
Eigenvalues and Eigenvectors
Matrices as Linear Transformations
Eigenvalues and Eigenvectors
Matrix Diagonalization
Special Matrices
Singular Value Decomposition (SVD)
Numerical Computation of Eigenvalues and Eigenvectors
Properties of Eigenvalues and Eigenvectors of Different
Classes of Matrices
Applications
Matrix Polynomials and Functions of Square Matrices
Matrix Polynomials
Cayley–Hamilton Theorem
Functions of Matrices
The State Space Modeling of Linear Continuous-time Systems
State Space Representation of Discrete-time Systems
Controllability of LTI Systems
Observability of LTI Systems
Introduction to Optimization
Stationary Points of Functions of Several Variables
Least-Square (LS) Technique
Total Least-Squares (TLS)
Eigen Filters
Stationary Points with Equality Constraints
Appendix A: The Laplace Transform
Appendix B: The z-Transform
Bibliography
Index
Rare Book
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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