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  • Search: subject:"computational analysis"
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Year of publication
Subject
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Bilevel optimization 3 Computational analysis 3 Valid inequalities 3 Big-M 2 SOS-1 2 computational analysis 2 Außenwirtschaftsrecht 1 Branch-and-cut 1 Climate change 1 Climate policies 1 Climate protection 1 Cxx 1 Elite 1 Foreign trade law 1 Free trade agreement 1 Freihandelsabkommen 1 Handelsabkommen 1 Handelspräferenzen 1 Klimaschutz 1 Klimawandel 1 Mathematical programming 1 Mathematische Optimierung 1 Queuing 1 Tariff preferences 1 Theorie 1 Theory 1 Trade agreement 1 Trade preferences 1 WTO 1 WTO law 1 WTO-Recht 1 Welt 1 World 1 Zollpräferenzen 1 approximation 1 climate protest 1 computational analysis of law 1 delay discourse 1 elite interviews 1 free trade agreements 1
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Online availability
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Free 6
Type of publication
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Article 4 Book / Working Paper 2
Type of publication (narrower categories)
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Article 2 Article in journal 2 Aufsatz in Zeitschrift 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
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Language
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English 6
Author
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Kleinert, Thomas 3 Schmidt, Martin 3 Aksin, O. Zeynep 1 Alschner, Wolfgang 1 Harker, Patrick T. 1 Labbé, Martine 1 Leston-Bandeira, Cristina 1 Nisbett, Nicole 1 Plein, Fränk 1 Seiermann, Julia 1 Skougarevskiy, Dmitriy 1 Spaiser, Viktoria 1 Valdenegro, Daniel 1
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Institution
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Financial Institutions Center, Wharton School of Business 1
Published in...
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CTEI working papers 1 Center for Financial Institutions Working Papers 1 Climate policy 1 Computational Management Science 1 Computational management science 1 Optimization Letters 1
Source
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ECONIS (ZBW) 3 EconStor 2 RePEc 1
Showing 1 - 6 of 6
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Climate action or delay : the dynamics of competing narratives in the UK political sphere and the influence of climate protest
Nisbett, Nicole; Spaiser, Viktoria; Leston-Bandeira, … - In: Climate policy 25 (2025) 4, pp. 513-526
Persistent link: https://www.econbiz.de/10015409532
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Why there is no need to use a big-M in linear bilevel optimization: a computational study of two ready-to-use approaches
Kleinert, Thomas; Schmidt, Martin - In: Computational Management Science 20 (2023)
Linear bilevel optimization problems have gained increasing attention both in theory as well as in practical applications of Operations Research (OR) during the last years and decades. The latter is mainly due to the ability of this class of problems to model hierarchical decision processes....
Persistent link: https://www.econbiz.de/10015165540
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Why there is no need to use a big-M in linear bilevel optimization : a computational study of two ready-to-use approaches
Kleinert, Thomas; Schmidt, Martin - In: Computational management science 20 (2023) 1, pp. 1-12
Persistent link: https://www.econbiz.de/10014228501
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Closing the gap in linear bilevel optimization: a new valid primal-dual inequality
Kleinert, Thomas; Labbé, Martine; Plein, Fränk; … - In: Optimization Letters 15 (2020) 4, pp. 1027-1040
Linear bilevel optimization problems are often tackled by replacing the linear lower-level problem with its Karush–Kuhn–Tucker conditions. The resulting single-level problem can be solved in a branch-and-bound fashion by branching on the complementarity constraints of the lower-level...
Persistent link: https://www.econbiz.de/10014504266
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Text-as-data analysis of preferential trade agreements : mapping the PTA landscape
Alschner, Wolfgang; Seiermann, Julia; Skougarevskiy, Dmitriy - 2017
Persistent link: https://www.econbiz.de/10011749946
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Computing Performance Measures in a Multi-Class Multi-Resource Processor-Shared Loss System
Aksin, O. Zeynep; Harker, Patrick T. - Financial Institutions Center, Wharton School of Business - 1998
This paper develops methods to compute performance measures in a specific type of loss system with multiple classes of customers sharing the same processor. Such systems arise in the modeling of a call center, where the performance measures of interest are blocking the probability of a call and...
Persistent link: https://www.econbiz.de/10005794282
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