Introduction/preface -- Failure of the Fed, IMF, academic profession to anticipate the crisis, disregarded warnings -- Failure of the Quants, mathematical finance models -- Philosophy of Stochastic optimal control approach, relation to M-V analysis; Sensitivity of optimal debt and risk to...

Optimization Theory and Algorithms -- On the Asymptotic Behavior of a System of Steepest Descent Equations Coupled by a Vanishing Mutual Repulsion -- Inverse Linear Programming -- Second-Order Conditions in C1,1 Vector Optimization with Inequality and Equality Constraints -- Benson Proper...

This textbook is intended for an introductory graduate level on process control, taught in most engineering curricula. It focuses on the statistical techniques and methods of control and system optimization needed for the mathematical modeling, analysis, simulation, control and optimization of...

Because of the clearly important role cooperative systems play in areas such as military sciences, biology, communications, robotics, and economics, just to name a few, the study of cooperative systems has intensified. This book provides an insight in the basic understanding of cooperative...

1 Macroeconomic Policies and Instrument Instability -- 1.1 A Keynesian Economy under the Government Budget Constraint -- 1.2 Optimal Policies by Means of Two Instruments -- 1.3 A Combination Policy -- 1.4 The Case Allowing Instrument Cost -- 1.5 Formulation of a Standard Control System --...

This fully revised 3rd edition offers an introduction to optimal control theory and its diverse applications in management and economics. It brings to students the concept of the maximum principle in continuous and discrete time by using dynamic programming and Kuhn-Tucker theory. While some...

Many optimization questions arise in economics and finance, an important example of this is the society's choice of the optimum state of the economy (the social choice problem). Optimization in Economics and Finance extends and improves the usual optimization techniques, in a form that may be...

Optimization problems arising in practice involve random parameters. For the computation of robust optimal solutions, i.e., optimal solutions being insensitive with respect to random parameter variations, deterministic substitute problems are needed. Based on the distribution of the random data,...

This work was completed during my tenure as a scientific assistant and d- toral student at the Institute for Operations Research at the University of St. Gallen. During that time, I was involved in several industry projects in the field of power management, on the occasion of which I was...