Stochastic programming models

A Ruszczyński, A Shapiro - Handbooks in operations research and …, 2003 - Elsevier
In this introductory chapter we discuss some basic approaches to modeling of stochastic
optimization problems. We start with motivating examples and then proceed to formulation of …

Hazardous materials transportation

E Erkut, SA Tjandra, V Verter - Handbooks in operations research and …, 2007 - Elsevier
Publisher Summary According to the US Department of Transportation (US DOT), a
hazardous material is defined as any substance or material capable of causing harm to …

[КНИГА][B] Lectures on stochastic programming: modeling and theory

This is a substantial revision of the previous edition with added new material. The
presentation of Chapter 6 is updated. In particular the Interchangeability Principle for risk …

Distributional preference alignment of llms via optimal transport

I Melnyk, Y Mroueh, B Belgodere… - Advances in …, 2025 - proceedings.neurips.cc
Current LLM alignment techniques use pairwise human preferences at a sample level, and
as such, they do not imply an alignment on the distributional level. We propose in this paper …

[КНИГА][B] Stochastic finance: an introduction in discrete time

H Föllmer, A Schied - 2011 - books.google.com
This book is an introduction to financial mathematics. It is intended for graduate students in
mathematics and for researchers working in academia and industry. The focus on stochastic …

[КНИГА][B] Variational methods in partially ordered spaces

A Göpfert, H Riahi, C Tammer, C Zalinescu - 2003 - Springer
CMS/CAIMS Books in Mathematics is a collection of monographs and graduatelevel
textbooks published in cooperation jointly with the Canadian Mathematical Society-Societé …

Selection of resilient supply portfolio under disruption risks

T Sawik - Omega, 2013 - Elsevier
This paper deals with the optimal selection and protection of part suppliers and order
quantity allocation in a supply chain with disruption risks. The protection decisions include …

Risk-averse two-stage stochastic programming with an application to disaster management

N Noyan - Computers & Operations Research, 2012 - Elsevier
Traditional two-stage stochastic programming is risk-neutral; that is, it considers the
expectation as the preference criterion while comparing the random variables (eg, total cost) …

Worst-case conditional value-at-risk with application to robust portfolio management

S Zhu, M Fukushima - Operations research, 2009 - pubsonline.informs.org
This paper considers the worst-case Conditional Value-at-Risk (CVaR) in the situation
where only partial information on the underlying probability distribution is available. The …

Risk-averse optimization of disaster relief facility location and vehicle routing under stochastic demand

S Zhong, R Cheng, Y Jiang, Z Wang, A Larsen… - … Research Part E …, 2020 - Elsevier
Disasters such as fires, earthquakes, and floods cause severe casualties and enormous
economic losses. One effective method to reduce these losses is to construct a disaster relief …