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Description: |
Experimental optimization problems, though ubiquitous in the applied sciences, are a surprisingly underdeveloped field from the theoretical perspective. In this talk, we will define a canonical experimental optimization form, show how it is a generalization of the better-known derivative-free optimization problem, and then proceed to discuss the challenges in solving it. The theory behind the SCFO (“sufficient conditions for feasibility and optimality”) framework – the only tool currently available for solving such problems rigorously – will be reviewed, and several application examples will be given.
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Date: |
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| Start Time: |
14:30 |
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Speaker: |
Bunin Gene (EPFL, Lausanne, Switzerland)
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Institution: |
Laboratoire d'Automatique of the EPFL
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| Research Groups: |
-Numerical Analysis and Optimization
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See more:
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<Main>
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