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Scenario Optimization: The Performance-Risk Tradeoff Garatti, Simone
Description
Scenario optimization considers decisions made on the grounds of past experience. A scenario decision is characterized by two fundamental elements: one is the performance the decision is expected to achieve and the other is the risk that this expected performance will not be met in a new case at hand. A mathematical theory offers an opportunity to study the trade-off between these two elements and in this presentation we shall try to highlight the principal conclusions of this theory. The significance of these results in the practical use of scenario optimization will also be discussed.
Item Metadata
Title |
Scenario Optimization: The Performance-Risk Tradeoff
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Creator | |
Publisher |
Banff International Research Station for Mathematical Innovation and Discovery
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Date Issued |
2018-03-08T14:33
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Description |
Scenario optimization considers decisions made on the grounds of past experience. A scenario decision is characterized by two fundamental elements: one is the performance the decision is expected to achieve and the other is the risk that this expected performance will not be met in a new case at hand. A mathematical theory offers an opportunity to study the trade-off between these two elements and in this presentation we shall try to highlight the principal conclusions of this theory. The significance of these results in the practical use of scenario optimization will also be discussed.
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Extent |
38 minutes
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Subject | |
Type | |
File Format |
video/mp4
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Language |
eng
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Notes |
Author affiliation: Politecnico di Milano
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Series | |
Date Available |
2018-09-05
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0371918
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URI | |
Affiliation | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Faculty
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International