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Multicriteria graph partitioning
 Houška, Ondřej ; Tůma, Miroslav (advisor) ; Hnětynková, Iveta (referee)
The thesis is about graph partitioning and applications of graph partitioning in paral- lel algorithms for solving big sparse linear equations. The problem of graph partitioning is thorougly described and standard graph partitioning algorithms are explained. The appli- cation part is focusing on the Conjugate Gradient method preconditioned by a variant of incomplete Cholesky factorization based on drop tolerance. The role of graph partitioning in the problem decomposition is described and a load balancing problem is studied. 1
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