Researchers examined problems related to the timing and scheduling of surgeries and patients' stays in recovery units. In collaboration with a hospital, they developed an integrated elective surgery ...
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 ...
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 first introduction to probability and statistics. This course will provide background to understand and produce rigorous statistical analysis including estimation, confidence intervals, hypothesis ...
In collaboration with a hospital, researchers examined problems related to the timing and scheduling of surgeries and patients’ stays in recovery units. They developed an integrated elective surgery ...