[video:https://www.youtube.com/watch?v=Pb4ZAFeV-30]In this video Kyri Baker explains her research in building-to-grid optimization and discusses working in the ...

SAE Transactions, Vol. 113, Section 5: JOURNAL OF MATERIALS AND MANUFACTURING (2004), pp. 101-110 (10 pages) Modern engineering design often involves computation-intensive simulation processes and ...

Optimization problems with partial differential equations as constraints arise widely in many areas of science and engineering, in particular in problems of the design. The solution of such class of ...

The rise of AI, graphic processing, combinatorial optimization and other data-intensive applications has resulted in data-processing bottlenecks, as ever greater amounts of data must be shuttled back ...

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 ...

This course examines formulation and solution of applicable optimization models, including linear, integer, nonlinear, and network problems, efficient algorithm methods, and use of computer modeling ...

where \(\mathsf{G}(\cdot)\) is some convex operator and \(\mathcal{F}\) is as set of feasible input distributions. Examples of such an optimization problem include finding capacity in information ...

In the fast-evolving field of electronic systems design, engineers are under increasing pressure to deliver innovative, high-performance products within ever ...

LEESBURG, Va., July 20, 2021 – Quantum Computing Inc. (QCI) today announced it has solved an optimization problem with over 3,800 variables in six minutes by applying a new quantum hardware technology ...

Bicycle sharing systems have become an attractive option to alleviate traffic in congested cities. However, rebalancing the number of bikes at each port as time passes is essential, and finding the ...