About this book series
Uncertainty is a prevailing issue in a growing number of optimization problems in science, engineering, and economics. Stochastic programming offers a flexible methodology for mathematical optimization problems involving uncertain parameters for which probabilistic information is available. This covers model formation, model analysis, numerical solution methods, and practical implementations. The series “Stochastic Programming” presents original research from this range of topics.
- Electronic ISSN
- 2945-8781
- Print ISSN
- 2945-8773
- Series Editor
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- Rüdiger Schultz
Book titles in this series
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A Scenario Tree-Based Decomposition for Solving Multistage Stochastic Programs
With Application in Energy Production
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