The increasing cost of health care has brought pressure to reduce pharmaceutical costs, and because manufacturing and R&D are significant cost factors, these areas have been targeted as potential ...

In this study, we introduce a distribution network design problem that determines the locations and capacities of the relief distribution points in the last mile network, while considering demand-and ...

Course in stochastic optimization with an emphasis on formulating, solving, and approximating optimization models under uncertainty. Topics include: Models and applications: extensions of the linear ...

A first introduction to probability and statistics. This course will provide background to understand and produce rigorous statistical analysis including estimation, confidence intervals, hypothesis ...

When disaster looms, who you gonna call? It could increasingly be a mathematician, if IBM scientists succeed in one of their current research efforts. IBM announced last week that its scientists have ...

Efficient execution is a significant task faced by mortgage bankers attempting to profit from the secondary market. The challenge of efficient execution is to sell or securitize a large number of ...

A hybrid linear pricing model is developed using a min-max approach with a Lévy-frailty multivariate default model, ...