Process optimization under uncertainty : stochastic integer programming approaches
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Dortmund, Technische Universität, Dissertation, 2023
- Klassifikation
-
Wirtschaft
- Schlagwort
-
Stochastische Optimierung
Gemischt-ganzzahlige Optimierung
Unsicherheit
Prozessoptimierung
Stochastischer Prozess
Mehrkriterielle Optimierung
Prozessoptimierung
- Ereignis
-
Veröffentlichung
- (wo)
-
Dortmund
- (wer)
-
Universitätsbibliothek Dortmund
- (wann)
-
2023
- Urheber
- Beteiligte Personen und Organisationen
-
Engell, Sebastian
Grossmann, Ignacio
- Handle
-
2003/42551
- URN
-
urn:nbn:de:101:1-2406210343217.174348623062
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:57 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Leo, Egidio
- Engell, Sebastian
- Grossmann, Ignacio
- Universitätsbibliothek Dortmund
Entstanden
- 2023
Ähnliche Objekte (12)
Stochastic integer programming
Approximation in stochastic integer programming
A multi-stage stochastic integer programming approach for capacity expansion under uncertainty
On Stochastic Integer Programming under Probabilistic Constraints
Fenchel Decomposition for Stochastic Mixed-IntegerProgramming
On deviation measures in stochastic integer programming
Decomposition in multistage stochastic programming and a constraint integer programming approach to mixed-integer nonlinear programming
Decomposition in multistage stochastic programming and a constraint integer programming approach to mixed-integer nonlinear programming
Decomposition of test sets in stochastic integer programming
Stochastic dual dynamic programming for multistage stochastic mixed-integer nonlinear optimization
Quantified integer programming with polyhedral and decision-dependent uncertainty
Deviation measures in stochastic programming with mixed integer recourse
Stochastic integer programming
Approximation in stochastic integer programming
A multi-stage stochastic integer programming approach for capacity expansion under uncertainty
On Stochastic Integer Programming under Probabilistic Constraints
Fenchel Decomposition for Stochastic Mixed-IntegerProgramming
On deviation measures in stochastic integer programming
Decomposition in multistage stochastic programming and a constraint integer programming approach to mixed-integer nonlinear programming
Decomposition in multistage stochastic programming and a constraint integer programming approach to mixed-integer nonlinear programming
Decomposition of test sets in stochastic integer programming
Stochastic dual dynamic programming for multistage stochastic mixed-integer nonlinear optimization
Quantified integer programming with polyhedral and decision-dependent uncertainty
Deviation measures in stochastic programming with mixed integer recourse
Stochastic integer programming
Approximation in stochastic integer programming
A multi-stage stochastic integer programming approach for capacity expansion under uncertainty
On Stochastic Integer Programming under Probabilistic Constraints
Fenchel Decomposition for Stochastic Mixed-IntegerProgramming
On deviation measures in stochastic integer programming
Decomposition in multistage stochastic programming and a constraint integer programming approach to mixed-integer nonlinear programming
Decomposition in multistage stochastic programming and a constraint integer programming approach to mixed-integer nonlinear programming
Decomposition of test sets in stochastic integer programming
Stochastic dual dynamic programming for multistage stochastic mixed-integer nonlinear optimization
Quantified integer programming with polyhedral and decision-dependent uncertainty