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 …

In this chapter we discuss Monte Carlo sampling methods for solving large scale stochastic
programming problems. We concentrate on the “exterior” approach where a random sample …

Changes in cognitive functioning often result from traumatic brain injury (TBI) and predict
other important aspects of psychosocial recovery. Despite this pivotal role, no quantitative …

Background Registry data on patients with type 1 diabetes mellitus who undergo pancreatic
islet transplantation indicate that only 8 percent are free of the need for insulin therapy at …

Background Coronavirus disease 2019 (Covid-19) disproportionately results in hospitalization
or death in older patients and those with underlying conditions. Sotrovimab is a pan-…

The Center for the Study of Earth from Space (CSES) at the University of Colorado, Boulder,
has developed a prototype interactive software system called the Spectral Image Processing …

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 measures is …

In this paper we consider optimization problems where the objective function is given in a
form of the expectation. A basic difficulty of solving such stochastic optimization problems is …

Background Effective ways to prevent arthropathy in severe hemophilia are unknown.
Methods We randomly assigned young boys with severe hemophilia A to regular infusions of …

Background Islet transplantation offers the potential to improve glycemic control in a subgroup
of patients with type 1 diabetes mellitus who are disabled by refractory hypoglycemia. We …