While methods for optimization under uncertainty have been studied intensely over the past
decades, the explicit consideration of the interplay between uncertainty and time has gained …

After the global financial crisis 2008, the world has been putting more effort in tightening
banking and financial activities with stricter regulations. However, the effectiveness of this …

Optimization methods play a central role in financial modeling. This textbook is devoted to
explaining how state-of-the-art optimization theory, algorithms, and software can be used to …

Publisher Summary This chapter reviews stochastic programming models for asset and
liability management (ALM). It introduces the basics of stochastic programming and …

Mean-variance portfolio analysis provided the first quantitative treatment of the tradeoff
between profit and risk. We describe in detail the interplay between objective and …

Most practical decision problems involve uncertainty. Stochastic programming is the study of
procedures for decision making under uncertainty over time. The uncertainty can be in the …

Whether transition element isotopes can be fractionated at equilibrium in nature is still
uncertain. Standard solutions of Cu and Zn were eluted on an anion-exchange resin, and …

Telecommunications has had a major impact in all aspects of life in the last century. There is
little doubt that the transformation from the industrial age to the information age has been …

Investment decisions may be evaluated via several different metrics/criteria, which are
functions of a vector of value drivers. The economic significance and the reliability of a metric …

We consider the problem of managing demand risk in tactical supply chain planning for a
particular global consumer electronics company. The company follows a deterministic …