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Direct methods discretize the optimal control problem in order to rewrite it as a nonlinear large scale optimization problem.
Anqi Fu – large scale optimization, radiation treatment planning.
Liu, D. C. & Nocedal, J. On the limited memory BFGS method for large scale optimization.
My research interests include statistical learning, applied statistics, large scale optimization, mathematical programming.
His research interests are in data science, statistical machine learning, large scale optimization, mathematical programming; and in particular, their interplay.
His research focuses on large scale optimization, with applications in machine learning and transportation, and an emphasis on implementation and policy.
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A competitive swarm optimizer for large-scale optimization (CEO) [39].
These algorithms are: A competitive swarm optimizer for large-scale optimization (CEO) [39].
A problem-specific large-scale optimization approaches are used to find the optimal antenna configurations efficiently.
A grand challenge in contemporary optimization is therefore to design storage-optimal algorithms that provably and reliably solve large-scale optimization problems in key scientific and engineering applications.
Another example is the observation that suboptimal solutions to large-scale optimization problems often lead to better behavior in downstream applications than optimal solutions.
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