Optimality Conditions and Numerical Methods for a Continuous Reformulation of Cardinality Constrained Optimization Problems
- Alternative title
-
Optimalitätsbedingungen und Numerische Verfahren für eine kontinuierliche Umformulierung von Optimierungsproblemen mit Kardinalitätsrestriktionen
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
-
Darmstadt, Technische Universität Darmstadt, Dissertation, 2018
- Classification
-
Mathematik
- Keyword
-
Constrained optimization
Cations
Quadratic programming
- Event
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Veröffentlichung
- (where)
-
Darmstadt
- (who)
-
Universitäts- und Landesbibliothek Darmstadt
- (when)
-
2018
- Creator
- Contributor
-
Schwartz, Alexandra
Kanzow, Christian
- URN
-
urn:nbn:de:tuda-tuprints-77402
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:24 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Bucher, Max
- Schwartz, Alexandra
- Kanzow, Christian
- Universitäts- und Landesbibliothek Darmstadt
Time of origin
- 2018
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Bounds on efficient outcomes for large-scale cardinality-constrained Markowitz problems
Variation margins, fire sales, and information-constrained optimality
Sequential optimality conditions for cardinality-constrained optimization problems with applications
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Sequential optimality conditions for cardinality-constrained optimization problems with applications
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On a Cardinality Constrained Multicriteria Knapsack Problem
Polyhedral aspects of cardinality constrained combinatorial optimization problems
Convergent Inexact Penalty Decomposition Methods for Cardinality-Constrained Problems
An Augmented Lagrangian Method for Cardinality-Constrained Optimization Problems
A Low-Cost Alternating Projection Approach for a Continuous Formulation of Convex and Cardinality Constrained Optimization
Reformulation of general chance constrained problems using the penalty functions
Bounds on efficient outcomes for large-scale cardinality-constrained Markowitz problems