CORDIS Project
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This project aims to develop strongly polynomial algorithms for linear programming by integrating techniques from discrete and continuous optimization. It seeks to enhance computational efficiency and applicability in various fields, including machine learning and computer vision.
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…
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