Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Karl-Heinz Küfer"'
Autor:
Jan Mohring, Neele Leithäuser, Jarosław Wlazło, Marvin Schulte, Maximilian Pilz, Johanna Münch, Karl-Heinz Küfer
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract Wastewater based epidemiology has become a widely used tool for monitoring trends of concentrations of different pathogens, most notably and widespread of SARS-CoV-2. Therefore, in 2022, also in Rhineland–Palatinate, the Ministry of Scienc
Externí odkaz:
https://doaj.org/article/84d3ea8b9cfe4ffaba9dfa77295041a9
Autor:
Maximilian Pilz, Karl-Heinz Küfer, Jan Mohring, Johanna Münch, Jarosław Wlazło, Neele Leithäuser
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract In Rhineland-Palatinate, Germany, a system of three data sources has been established to track the Covid-19 pandemic. These sources are the number of Covid-19-related hospitalizations, the Covid-19 genecopies in wastewater, and the prevalenc
Externí odkaz:
https://doaj.org/article/b6cabcf25ce24753b90fbf084cbcc6fd
Publikováno v:
Central European Journal of Operations Research. 31:337-362
Publikováno v:
Mathematical Methods of Operations Research. 96:39-82
This article introduces the new class of continuous set covering problems. These optimization problems result, among others, from product portfolio design tasks with products depending continuously on design parameters and the requirement that the pr
Publikováno v:
Complex & Intelligent Systems. 8:4115-4143
Waste management involved in various fields of global ecosystem that provides several positive effects for green environment and sustainable development. We devise a multi-objective solid transportation model of waste management problem in agricultur
Publikováno v:
Optimization and Engineering.
Many practical optimisation problems have conflicting objectives, which should be addressed by multi-criteria optimisation (MCO), i.e. by determining the set of best compromises, the Pareto set (PS), along with its picture in parameter space (PSPS).
A transformation-based discretization method for solving general semi-infinite optimization problems
Publikováno v:
Mathematical Methods of Operations Research. 93:83-114
Discretization methods are commonly used for solving standard semi-infinite optimization (SIP) problems. The transfer of these methods to the case of general semi-infinite optimization (GSIP) problems is difficult due to the $$\mathbf {x}$$ x -depend
Publikováno v:
Operations Research Proceedings 2021 ISBN: 9783031086229
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::400157699c0025f92c99136a18f5dd2a
https://doi.org/10.1007/978-3-031-08623-6_35
https://doi.org/10.1007/978-3-031-08623-6_35
Autor:
Tobias Seidel, Karl-Heinz Küfer
Semi-infinite programming can be used to model a large variety of complex optimization problems. The simple description of such problems comes at a price: semi-infinite problems are often harder to solve than finite nonlinear problems. In this paper,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e04fee09d8650f1308136d7f121571f
https://publica.fraunhofer.de/handle/publica/265948
https://publica.fraunhofer.de/handle/publica/265948