Polynomial Optimisation Cambridge University
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Optimisation problems involving polynomials arise in a wide variety of contexts, including operational research, statistics, probability, finance, computer science, structural engineering, statistical physics, combinatorial chemistry, computational biology and algorithmic graph theory. They are however extremely challenging to solve, both in theory and practice. Existing algorithms and software are capable of solving only very small instances to proven optimality, unless they have some amenable structure, such as sparsity or convexity.
Read more at: http://www.newton.ac.uk/programmes/POP/
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Panel Discussion - Polynomial Optimisation Open For Business Event
Panel: Anjos, M; Ortega, G; Parry, R; Marecek, J; Fiala, J; Andersen, E
Thursday 08 August 2013, 17:45-18:30 -
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Spherical Euclidean Distance Embedding and the Unit-Distance Respresentation of a Graph on a Hypersphere
Qi, H (University of Southampton)
Friday 09 August 2013, 10:00-11:00 -
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Recent progress on questions of Nemirovsky and Sturmfels
Scheiderer, C (Universität Konstanz)
Tuesday 23 July 2013, 10:00-11:00 -
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Solving conic optimization problems with MOSEK
Andersen, E (MOSEK)
Thursday 08 August 2013, 17:15-17:45 -
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Semidefinite programming at NAG
Fiala, J (Numerical Algorithms Group)
Thursday 08 August 2013, 16:45-17:15 -
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Polynomial optimisation in power systems at IBM Research
Marecek, J (IBM Dublin)
Thursday 08 August 2013, 15:45-16:15