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 ...

Did you consider yourself a mathematician the last time you sat down to solve a Sudoku puzzle? It’s certainly a mentally ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial ...

We show that the adaptive distributionally robust linear optimization problem can be formulated as a classical robust optimization problem. To obtain a tractable formulation, we approximate the ...

The optimization mode requires quantum effects, can solve a growing list of problems.

The portfolio optimization model has limited impact in practice because of estimation issues when applied to real data. To address this, we adapt two machine learning methods, regularization and cross ...