Jenny Quinn travels with math in her backpack. She unpacks it piece by piece: bright, 3D-printed shapes that click together… ...

Discover how creating a production digital twin can help aerospace manufacturers optimize factories, improve production ...

When most people think of computer simulations, they imagine sleek graphics or Hollywood-style animations. But for Tayfun ...

Find out how today's engineers succeed by growing their technical abilities, improving how they communicate, and staying open ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

Dynamic environments pose great challenges for expensive optimization problems, as the objective functions of these problems change over time and thus require remarkable computational resources to ...

We develop a modular and tractable framework for solving an adaptive distributionally robust linear optimization problem, where we minimize the worst-case expected cost over an ambiguity set of ...

Annealing processors (APs) are gaining popularity for solving complex optimization problems. Fully-coupled Ising model APs are especially valued for their flexibility, but balancing capacity (number ...

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do so for some critical optimization tasks.