Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/43954
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Applied Mathematics | en_US |
dc.creator | Chen, X | en_US |
dc.creator | Kelley, CT | en_US |
dc.date.accessioned | 2016-06-07T06:37:28Z | - |
dc.date.available | 2016-06-07T06:37:28Z | - |
dc.identifier.issn | 1389-4420 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/43954 | - |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.rights | © Springer Science+Business Media New York 2015 | en_US |
dc.rights | This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s11081-015-9302-1 | en_US |
dc.subject | Hidden constraints | en_US |
dc.subject | Monte carlo simulation | en_US |
dc.subject | Sampling methods | en_US |
dc.subject | Water resource policy | en_US |
dc.title | Optimization with hidden constraints and embedded Monte Carlo computations | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 157 | en_US |
dc.identifier.epage | 175 | en_US |
dc.identifier.volume | 17 | en_US |
dc.identifier.issue | 1 | en_US |
dc.identifier.doi | 10.1007/s11081-015-9302-1 | en_US |
dcterms.abstract | In this paper we explore the convergence properties of deterministic direct search methods when the objective function contains a stochastic or Monte Carlo simulation. We present new results for the case where the objective is only defined on a set with certain minimal regularity properties. We present two numerical examples to illustrate the ideas. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Optimization and engineering, Mar. 2016, v. 17, no. 1, p. 157-175 | en_US |
dcterms.isPartOf | Optimization and engineering | en_US |
dcterms.issued | 2016-03 | - |
dc.identifier.isi | WOS:000378238800008 | - |
dc.identifier.scopus | 2-s2.0-84958123814 | - |
dc.identifier.eissn | 1573-2924 | en_US |
dc.identifier.rosgroupid | 2015002966 | - |
dc.description.ros | 2015-2016 > Academic research: refereed > Publication in refereed journal | en_US |
dc.description.validate | 202208 bcvc | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | AMA_0590 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 6616743 | - |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Chen_Optimization_Hidden_Constraints.pdf | Pre-Published version | 974.98 kB | Adobe PDF | View/Open |
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