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Kurt Marti
Stochastic Optimization Methods

This book examines optimization problems that in practice involve random model parameters. It outlines the computation of robust optimal solutions, i.e., optimal solutions that are insensitive to random p…

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Ari-Pekka Perkkiö, Teemu Pennanen
Convex Stochastic Optimization

This book studies a general class of convex stochastic optimization (CSO) problems that unifies many common problem formulations from operations research, financial mathematics and stochastic optimal cont…

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Bernd Heidergott, Felisa Vazquez-Abad
Optimization and Learning via Stochastic Gradient Search

An introduction to gradient-based stochastic optimization that integrates theory and implementationThis book explains gradient-based stochastic optimization, exploiting the methodologies of stochastic app…

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Welington Luis de Oliveira, Wim Stefanus van Ackooij
Methods of Nonsmooth Optimization in Stochastic Programming

This book presents a comprehensive series of methods in nonsmooth optimization, with a particular focus on their application in stochastic programming and dedicated algorithms for decision-making under un…

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Alexei A Gaivoronski, Pavel S Knopov, Vladimir I Norkin, Volodymyr A Zaslavskyi
Stochastic Modeling and Optimization Methods for Critical Infrastructure Protection, Volume 1

Stochastic Modeling and Optimization Methods for Critical Infrastructure Protection is a thorough exploration of mathematical models and tools that are designed to strengthen critical infrastructures agai…

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Stochastic Modeling and Optimization Methods for Critical Infrastructure Protection, Volume 2

Stochastic Modeling and Optimization Methods for Critical Infrastructure Protection is a thorough exploration of mathematical models and tools that are designed to strengthen critical infrastructures agai…

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Rosario Toscano
Solving Optimization Problems with the Heuristic Kalman Algorithm

This text focuses on simple and easy-to-use design strategies for solving complex engineering problems that arise in several fields of engineering design, namely non-convex optimization problems.The main …

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Wolf Gereon Wedel
Energy Systems Optimization Considering the Uncertainty of Future Developments

In light of anthropogenic climate change and the importance of energy to ensure high living standards, energy system optimization is used to explore different energy system layouts. A recent focus has bee…

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Industrial Engineering and Operations Management

This proceedings gathers selected, peer-reviewed papers presented at the XXX International Joint Conference on Industrial Engineering and Operations Management (IJCIEOM), held from June 26 to 28, 2024, in…

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Models and Methods for Biological Evolution

Biological evolution is the phenomenon concerning how species are born, are transformed or disappear over time. Its study relies on sophisticated methods that involve both mathematical modeling of the bio…

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