Scientists have developed a new optimization approach that combines both day-ahead optimization and real-time optimization to improve operations of PV-driven EV charging stations. The framework is ...

This study concerns a generic model-free stochastic optimization problem requiring the minimization of a risk function defined on a given bounded domain in a Euclidean space. Smoothness assumptions ...

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 ...

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 ...

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

Renewable energy is seen as an answer to climate change, yet its uptake is limited by the variability and intermittent nature of most renewable energy sources. A promising solution to this problem is ...

Operations Research, Vol. 58, No. 4, Part 1 of 2 (July-August 2010), pp. 802-816 (15 pages) The allocation of surgeries to operating rooms (ORs) is a challenging combinatorial optimization problem.