MICHAL KOCVARA    (Ko\v{c}vara in LaTeX, pronounce ko'tchvara)

Click to get a bigger picture Professor in Mathematical Optimization
School of Mathematics
The University of Birmingham
Birmingham B15 2TT
United Kingdom

Tel: +44 121 41 46598
Fax: +44 121 41 43389
E-mail: m.kocvara@bham.ac.uk
WWW: http://web.mat.bham.ac.uk/kocvara
Office: Watson Building, room 328, 3rd floor.
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ORCID iD iconhttps://orcid.org/0000-0003-4414-0083

New software LORAINE

Loraine is a MATLAB and Julia implementation of an interior point method algorithm for linear semidefinite optimization problems. The special feature of Loraine is the iterative solver for linear systems. This is to be used for problems with (very) low rank solution matrix. Standard (non-low-rank) problems and linear programs can be solved using the direct solver; then the user gets a standard IP method akin SDPT3.

MATLAB version of the code at github.com/kocvara/Loraine.m.

Julia version of the code (linked with Julia/JuMP) at github.com/kocvara/Loraine.jl.


POEMA (Polynomial Optimization, Efficiency through Moments and Algebra) is a Marie Skłodowska-Curie Innovative Training Network (2019-2023). Its goal is to train scientists at the interplay of algebra, geometry and computer science for polynomial optimization problems and to foster scientific and technological advances, stimulating interdisciplinary and intersectoriality knowledge exchange between algebraists, geometers, computer scientists and industrial actors facing real-life optimization problems.

The network partners are Inria, Sophia Antipolis; CNRS, LAAS, Toulouse; Sorbonne Universite, Paris; Artelys SA, Paris; NWO-I/CWI, Amsterdam; Univ. Tilburg; Univ. Konstanz; Univ. Erlangen; Univ. degli Studi di Firenze; Univ. of Birmingham; Univ. of Tromsoe.

PENLAB a free open source MATLAB toolbox for nonlinear optimization, linear and nonlinear semidefinite optimization and any combination of these.



(Not so) recent talks

Link to my personal homepage, containing mainly photos from travels

Michal Kocvara
July 10, 2023