What do the following—planning an airline hub, political gerrymandering, and a museum renovation—have in common? They’re all problems that can be tackled by mathematicians using a process called ...

In Part 1 of this series on optimization and recovery, we considered two limitations of optimization processes and the light they shed on pseudo-recovery. Let’s now think more about what the ...

Professor Ruszczynski’s interests are in the theory, numerical methods and applications of stochastic optimization. He is author of "Nonlinear Optimization", "Lectures on Stochastic programming", and ...

The following sample plan of study fulfills the M.S. degree in Computer Science concentrating in Computational Operations Research with an empahsis on optimization and analytics. There are a variety ...

Modeling and Solving Combinatorial Optimization Problems Using the QUBO Model A surprising development of the last few years has been the emergence of a model, called QUBO (for Quadratic Unconstrained ...

This is a preview. Log in through your library . Abstract Second-order conditions are given which are sufficient for a point to be a local minimizer for certain nonlinear programming problems defined ...

A survey of contemporary topics in mathematics such as: voting systems and power, apportionment, fair division of divisible and indivisible assets, efficient distribution, scheduling and routing, ...

The School of Mathematics and Statistics is recognized for its contributions to research and applications of mathematical and statistical science, and it’s also known for expertise in mathematical and ...

In Part 1 of this series on optimization and recovery, we considered two limitations of optimization processes and the light they shed on pseudo-recovery. Let’s now think more about what the ...