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Content archived on 2024-06-18

Practical Approximation Algorithms

Objective

The goal of this proposal is the development and study of practical approximation algorithms. We will base our study on
theoretical models that can describe requirements for algorithms that make them practically efficient. We plan to develop an
efficient and useful programming library of approximation algorithms.
Our research on approximation algorithms will be concentrated on two main topics:
- multi-problem optimization, when the solution has to be composed out of different problems that need to interact,
- interplay between regular and random structure of network that could allow construction of good approximation algorithms.
The above concepts try to capture the notion of effective algorithms. It has to be underlined that they were not studied before.
The practical importance of these problems will be verified by the accompanying work on generic programming concepts
for approximation algorithms. These concepts will form the basis of universal library that will include Web algorithms and
algorithms for physical applications.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Call for proposal

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ERC-2010-StG_20091028
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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

ERC-SG - ERC Starting Grant

Host institution

UNIWERSYTET WARSZAWSKI
EU contribution
€ 698 849,07
Address
KRAKOWSKIE PRZEDMIESCIE 26/28
00-927 WARSZAWA
Poland

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Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data

Beneficiaries (2)

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