**Optimization and Dynamical Systems**

by U. Helmke, J. B. Moore

**Publisher**: Springer 1996**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.

Download or read it online for free here:

**Download link**

(2.8MB, PDF)

## Similar books

**Linear Complementarity, Linear and Nonlinear Programming**

by

**Katta G. Murty**

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)

**Iterative Methods for Optimization**

by

**C.T. Kelley**-

**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)

**Optimization Algorithms: Methods and Applications**

by

**Ozgur Baskan (ed.)**-

**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)

**Linear Programming**

by

**Jim Burke**-

**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)