Traditionally, algorithms for optimization problems narrow down the search space for the best solution one step at a time. In contrast, this new algorithm samples a variety of directions in parallel.

ExxonMobil and IBM's researchers have been working together to find quantum algorithms that could manage the global fleet of merchant ships.

Matching algorithms to application characteristics Within any application category or set of characteristics there are many optimization algorithms that are equivalently effective. Criteria for ...

The Best Way Forward? When classical and quantum algorithms compete, they often do so on the battlefield of optimization, a field focused on finding the best options for solving a thorny problem.

DOE Randomized Algorithms for Combinatorial Scientific ComputingPlease see the full solicitation for complete information about the funding opportunity. Below is a summary assembled by the Research & ...

Harbir Antil, Professor, Mathematical Sciences; Director, Center for Mathematics and Artificial Intelligence (CMAI), received funding for the project: “Efficient Algorithms for Optimization ...

Robert W. Weeks, John J. Moskwa, Automotive Engine Modeling for Real-Time Control Using MATLAB/SIMULINK, SAE Transactions, Vol. 104, Section 5: JOURNAL OF MATERIALS & MANUFACTURING (1995), pp. 295-309 ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.