Models -- and Examples -- Uncertainty and Modeling Issues -- Basic Properties -- Basic Properties and Theory -- The Value of Information and the Stochastic Solution -- Solution Methods -- Two-Stage Linear Recourse Problems -- Nonlinear Programming Approaches to Two-Stage Recourse Problems --...

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...

From the Preface. The preparation of this book started in 2004, when George B. Dantzig and I, following a long-standing invitation by Fred Hillier to contribute a volume to his International Series in Operations Research and Management Science, decided finally to go ahead with editing a volume...

This volume presents a collection of contributions dedicated to applied problems in the financial and energy sectors that have been formulated and solved in a stochastic optimization framework. The invited authors represent a group of scientists and practitioners, who cooperated in recent years...

Intro -- Contents -- Foreword -- 1 Introduction -- 2 An Overview -- 3 Mathematical Preliminaries -- 4 Dynamic Programming under Certainty -- 5 Applications of Dynamic Programming under Certainty -- 6 Deterministic Dynamics -- 7 Measure Theory and Integration -- 8 Markov Processes -- 9 Stochastic...