Logo

Optimization and Dynamical Systems

Small book cover: Optimization and Dynamical Systems

Optimization and Dynamical Systems
by

Publisher: Springer
ISBN/ASIN: 3540198571
ISBN-13: 9783540198574
Number of pages: 414

Description:
This work is aimed at mathematics and engineering graduate students and researchers in the areas of optimization, dynamical systems, control systems, signal processing, and linear algebra. The problems solved are those of linear algebra and linear systems theory, and include such topics as diagonalizing a symmetric matrix, singular value decomposition, balanced realizations, linear programming, sensitivity minimization, and eigenvalue assignment by feedback control.

Home page url

Download or read it online for free here:
Download link
(2.8MB, PDF)

Similar books

Book cover: Linear Complementarity, Linear and Nonlinear ProgrammingLinear Complementarity, Linear and Nonlinear Programming
by
This book provides an in-depth and clear treatment of all the important practical, technical, computational, geometric, and mathematical aspects of the Linear Complementarity Problem, Quadratic Programming, and their various applications.
(10517 views)
Book cover: Iterative Methods for OptimizationIterative Methods for Optimization
by - Society for Industrial Mathematics
This book presents a carefully selected group of methods for unconstrained and bound constrained optimization problems and analyzes them in depth both theoretically and algorithmically. It focuses on clarity in algorithmic description and analysis.
(9852 views)
Book cover: Optimization Algorithms: Methods and ApplicationsOptimization Algorithms: Methods and Applications
by - InTech
This book covers state-of-the-art optimization methods and their applications in wide range especially for researchers and practitioners who wish to improve their knowledge in this field. It covers applications in engineering and various other areas.
(6229 views)
Book cover: Linear ProgrammingLinear Programming
by - University of Washington
These are notes for an introductory course in linear programming. The four basic components of the course are modeling, solution methodology, duality theory, and sensitivity analysis. We focus on the simplex algorithm due to George Dantzig.
(7089 views)