Objective
One of the most important open questions in optimization is to find a strongly polynomial algorithm for linear programming. The proposed project aims to tackle this problem by combining novel techniques from two different domains: discrete optimization and continuous optimization. We expect to contribute to exciting recent developments on the interface of these two fields.
We use and develop new variants of the classical scaling technique. From the discrete optimization side, recent work of the PI on generalized flows extends classical network flow theory and opens up new domains for strongly polynomial computability beyond integer constraint matrices. We will apply this novel scaling technique to obtain strongly polynomial algorithms for broad classes of linear programs.
From the continuous optimization side, we aim to build the theory of geometric rescaling algorithms for linear and convex optimization. This approach combines first-order methods with geometric rescaling techniques to obtain a new family of polynomial-time algorithms. We expect to devise variants efficient in theory and in practice, which we will use in a wide range of applications.
Our discrete and continuous techniques will have important applications in submodular function minimization. We will develop new, efficient algorithms for the general problem as well as for specific applications in areas such as machine learning and computer vision.
In summary, the project will develop novel approaches for some of the most fundamental optimization problems. It will change the landscape of strongly polynomial computability, and make substantial progress towards finding a strongly polynomial algorithm for linear programming.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences artificial intelligence computer vision
- natural sciences computer and information sciences artificial intelligence machine learning
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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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.
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.
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.
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-STG - Starting Grant
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2017-STG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
WC2A 2AE London
United Kingdom
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.