DUBLIN--(BUSINESS WIRE)--Research and Markets(http://www.researchandmarkets.com/research/799091/deterministic_oper) has announced the addition of John Wiley and Sons ...

This program is offered by the Department of Management Science and Information Systems (MSIS). It is the continuation of the previous concentration in Management Science and the program of Operations ...

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

Linear semi-infinite programming (LSIP) is a branch of optimisation that focuses on problems where a finite number of decision variables is subject to infinitely many linear constraints. This ...

... mentions of OR in the popular press are few and far between. Worse yet, popular media articles covering OR manage to avoid mentioning OR entirely! Lohr argues ...

A robust approach to solving linear optimization problems with uncertain data was proposed in the early 1970s and has recently been extensively studied and extended. Under this approach, we are ...

Specializing in multi-attribute decision analysis, Markov modeling, and utility modeling, as applied to medical decision making and medical cost-effectiveness. Gordon Hazen, PhD, is an operations ...

In this paper, we propose a methodology for constructing uncertainty sets within the framework of robust optimization for linear optimization problems with uncertain parameters. Our approach relies on ...

Facility location and optimization problems have long been a central focus in operations research and applied mathematics, addressing the challenge of strategically placing facilities to serve a ...

As the world continues to gather mountains of data, we need math-minded people to help us make sense of it all. Therefore, it's no surprise that demand for mathematics professionals is on the rise — ...