Control Perspectives on Numerical Algorithms and Matrix Problems

As a complementary countercurrent to the recent trend of giving a numerical analyst's account of various computational problems and algorithms in control, Bhaya and Kaszkurewica (both electrical engineering, Federal U. of Rio de Janeiro) show how some simple ideas from control theory can be used to systematize a class of approaches to algorithm analysis and design. They take a control perspective on problems mainly in numerical analysis, optimization, and matrix theory in which systems and control ideas are shown to play an important role. Annotation c2006 Book News, Inc., Portland, OR (booknews.com)

Amit Bhaya is Professor of Electrical Engineering at the Graduate School of Engineering, Federal University of Rio de Janeiro (COPPE/UFRJ). He is coauthor of Matrix Diagonal Stability in Systems and Computation (Birkhauser, 2000) and works in the areas of systems and control theory, parallel computation, neural networks, matrix stability theory, and mathematical ecology.Eugenius Kaszkurewicz is Professor of Electrical Engineering at the Graduate School of Engineering, Federal University of Rio de Janeiro (COPPE/UFRJ). He is coauthor of Matrix Diagonal Stability in Systems and Computation (Birkhauser, 2000) and works in the areas of stability theory, large-scale systems stability and control, parallel computation, neural networks, and matrix stability theory. He is an elected member of the Brazilian Academy of Sciences and served for several years as Associate Editor of Automatica, the journal of the International Federation of Automatic Control.