Exploring Efficient Optimization Under Uncertainty Using Data Space Inversion
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- 00:00 - The ML-OR Disconnect 06:20 - Scenario Planning 15:03 - Predict-Then-Optimize 27:18 - Predict-And-Optimize 40:00 ...
- A fundamental goal
- The basics of
- Ensemble
- Survey: Power Systems
In-Depth Information on Efficient Optimization Under Uncertainty Using Data Space Inversion
This video discusses an emerging methodology that combines a number of technologies, these including Data Space Inversion Sankaran Mahadevan is Professor of Civil and Environmental Engineering at Vanderbilt University www.cee.vanderbilt.edu. Optimization Under Uncertainty with
This talk was part of the Workshop on "PDE-constrained Bayesian inverse problems: interplay of spatial statistical models
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