Explore the words cloud of the CoSP project. It provides you a very rough idea of what is the project "CoSP" about.
The following table provides information about the project.
Coordinator |
UNIVERZITA KARLOVA
Organization address contact info |
Coordinator Country | Czech Republic [CZ] |
Total cost | 869˙400 € |
EC max contribution | 749˙800 € (86%) |
Programme |
1. H2020-EU.1.3.3. (Stimulating innovation by means of cross-fertilisation of knowledge) |
Code Call | H2020-MSCA-RISE-2018 |
Funding Scheme | MSCA-RISE |
Starting year | 2019 |
Duration (year-month-day) | from 2019-01-01 to 2022-12-31 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | UNIVERZITA KARLOVA | CZ (PRAHA 1) | coordinator | 529˙000.00 |
2 | CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS | FR (PARIS) | participant | 110˙400.00 |
3 | TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY | IL (HAIFA) | participant | 110˙400.00 |
4 | Los Alamos National Security LLC | US (Los Alamos NM) | partner | 0.00 |
5 | RUTGERS, THE STATE UNIVERSITY OF NEW JERSEY | US (NEW BRUNSWICK) | partner | 0.00 |
6 | Simon Fraser University | CA (BURNABY) | partner | 0.00 |
7 | TRUSTEES OF PRINCETON UNIVERSITY | US (PRINCETON, NJ) | partner | 0.00 |
The project brings together combinatorialists of various fields with the aim that they will enrich each other’s techniques. The tool kits they will bring include topology, probability, statistical physics and algebra. These should apply to matching problems (a central topic in combinatorics), algorithmic problems, coloring problems (which are decompositions into independent sets or matchings) and homomorphisms (a generalization of colorings). One umbrella under which many of these can be gathered is the intersection of two matroids, a notion generalizing that of matchings in bipartite graphs. Researchers are baffled by a strange phenomenon – that moving from one matroid to the intersection of two matroids sometimes costs little. The algorithmic problems are indeed harder, but the difference between min and max in the min-max theorems suffer only a conjectured penalty of 1. This connects with a second direction of the research, fine grained complexity, which deals with polynomially solvable problems, and aims to prove, under widely believed assumptions, lower bounds on the exponents in the polynomial bounds. A major question in the field is proving similar tight bounds for approximation problems. A direction connecting matchings, colorings and homomorphisms was initiated recently in statistical physics. It investigates typical algorithmic complexity, of computational problems taken under some probability distribution. While the worst case complexity questions are difficult in general and not clearly practically relevant, when we restrict to a given probability distribution of instances and when we are interested in high probability results, progress has been made, that has contributed also algorithmic insights beyond the probabilistic setting. We propose to address several outstanding open questions from the field. Finally we will work on a deep connection, studied by some of the researchers in the project, between Ramsey theory, Model theory and graph homomorphisms.
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "COSP" project.
For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.
Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.
Thanks. And then put a link of this page into your project's website.
The information about "COSP" are provided by the European Opendata Portal: CORDIS opendata.
RELIABLE TECHNOLOGIES AND MODELS FOR VERIFIED WIRELESS BODY-CENTRIC TRANSMISSION AND LOCALIZATION
Read MoreIdentifying Marginal Lands in Europe and strengthening their contribution potentialities in a CO2sequestration strategy
Read MoreOutcomes of Patients’ Evidence With Novel, Do-It-Yourself Artificial Pancreas Technology
Read More