Explore the words cloud of the APEG project. It provides you a very rough idea of what is the project "APEG" about.
The following table provides information about the project.
Coordinator |
TECHNISCHE UNIVERSITAET MUENCHEN
Organization address contact info |
Coordinator Country | Germany [DE] |
Project website | http://www14.in.tum.de/projekte/erc/index.html.en |
Total cost | 2˙404˙250 € |
EC max contribution | 2˙404˙250 € (100%) |
Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
Code Call | ERC-2015-AdG |
Funding Scheme | ERC-ADG |
Starting year | 2016 |
Duration (year-month-day) | from 2016-10-01 to 2021-09-30 |
Take a look of project's partnership.
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1 | TECHNISCHE UNIVERSITAET MUENCHEN | DE (MUENCHEN) | coordinator | 2˙404˙250.00 |
Optimization problems are ubiquitous in computer science. Almost every problem involves the optimization of some objective function. However a major part of these problems cannot be solved to optimality. Therefore, algorithms that achieve provably good performance guarantees are of immense importance. Considerable progress has already been made, but great challenges remain: Some fundamental problems are not well understood. Moreover, for central problems arising in new applications, no solutions are known at all.
The goal of APEG is to significantly advance the state of the art on algorithmic performance guarantees. Specifically, the project has two missions: First, it will develop new algorithmic techniques, breaking new ground in the areas of online algorithms, approximations algorithms and algorithmic game theory. Second, it will apply these techniques to solve fundamental problems that are central in these algorithmic disciplines. APEG will attack long-standing open problems, some of which have been unresolved for several decades. Furthermore, it will formulate and investigate new algorithmic problems that arise in modern applications. The research agenda encompasses a broad spectrum of classical and timely topics including (a) resource allocation in computer systems, (b) data structuring, (c) graph problems, with relations to Internet advertising, (d) complex networks and (e) massively parallel systems. In addition to basic optimization objectives, the project will also study the new performance metric of energy minimization in computer systems.
Overall, APEG pursues cutting-edge algorithms research, focusing on both foundational problems and applications. Any progress promises to be a breakthrough or significant contribution.
year | authors and title | journal | last update |
---|---|---|---|
2019 |
Susanne Albers, Dennis Kraft Motivating Time-Inconsistent Agents: A Computational Approach published pages: 466-487, ISSN: 1432-4350, DOI: 10.1007/s00224-018-9883-0 |
Theory of Computing Systems 63/3 | 2019-09-02 |
2016 |
Susanne Albers, Dennis Kraft Motivating Time-Inconsistent Agents: A Computational Approach published pages: 309-323, ISSN: , DOI: 10.1007/978-3-662-54110-4_22 |
12th International Conference on Web and Internet Economics (WINE 2016) Springer LNCS 10123 | 2019-06-17 |
2016 |
Gálvez, Waldo; Grandoni, Fabrizio; Ingala, Salvatore; Khan, Arindam Improved Pseudo-Polynomial-Time Approximation for Strip Packing published pages: 9:1 -- 9:14, ISSN: , DOI: 10.4230/LIPIcs.FSTTCS.2016.9 |
36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2016) 65 | 2019-06-17 |
2016 |
Susanne Albers, Evripidis Bampis, Dimitrios Letsios, Giorgio Lucarelli, Richard Stotz Scheduling on Power-Heterogeneous Processors. published pages: 41-54, ISSN: , DOI: 10.1007/978-3-662-49529-2_4 |
12th Latin American Symposium on Theoretical Informatics (LATIN 2016) Springer LNCS9644 | 2019-06-17 |
2016 |
Susanne Albers, Sonja Lauer On list update with locality of reference published pages: 627-653, ISSN: 0022-0000, DOI: 10.1016/j.jcss.2015.11.005 |
Journal of Computer and System Sciences 82/5 | 2019-06-17 |
2017 |
Susanne Albers, Evripidis Bampis, Dimitrios Letsios, Giorgio Lucarelli, Richard Stotz Scheduling on power-heterogeneous processors published pages: 22-33, ISSN: 0890-5401, DOI: 10.1016/j.ic.2017.09.013 |
Information and Computation 257 | 2019-06-17 |
2017 |
Albers, Susanne; Schraink, Sebastian Tight Bounds for Online Coloring of Basic Graph Classes published pages: 7:1 --7:14, ISSN: , DOI: 10.4230/LIPIcs.ESA.2017.7 |
25th Annual European Symposium on Algorithms (ESA 2017) 87 | 2019-06-17 |
2017 |
Susanne Albers, Matthias Hellwig On the Value of Job Migration in Online Makespan Minimization published pages: 598-623, ISSN: 0178-4617, DOI: 10.1007/s00453-016-0209-9 |
Algorithmica 79/2 | 2019-06-17 |
2017 |
Susanne Albers, Dennis Kraft On the Value of Penalties in Time-Inconsistent Planning published pages: 10:1--10:12, ISSN: , DOI: 10.4230/LIPIcs.ICALP.2017.10 |
44th International Colloquium on Automata, Languages, and Programming (ICALP 2017) Volume 80 | 2019-06-17 |
2017 |
Susanne Albers, Dennis Kraft The Price of Uncertainty in Present-Biased Planning published pages: 325-339, ISSN: , DOI: 10.1007/978-3-319-71924-5_23 |
13th International Conference on Web and Internet Economics (WINE 2017) Springer LNCS 10660 | 2019-06-17 |
2017 |
Susanne Albers, Matthias Hellwig Online Makespan Minimization with Parallel Schedules published pages: 492-520, ISSN: 0178-4617, DOI: 10.1007/s00453-016-0172-5 |
Algorithmica 78/2 | 2019-06-17 |
2018 |
Susanne Albers, Dario Frascaria Quantifying Competitiveness in Paging with Locality of Reference published pages: 3563-3596, ISSN: 0178-4617, DOI: 10.1007/s00453-018-0406-9 |
Algorithmica 80/12 | 2019-06-03 |
2019 |
Susanne Albers, Achim Passen New Online Algorithms for Story Scheduling in Web Advertising published pages: 1-25, ISSN: 0178-4617, DOI: 10.1007/s00453-018-0428-3 |
Algorithmica 81/1 | 2019-06-03 |
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The information about "APEG" are provided by the European Opendata Portal: CORDIS opendata.