scholarly journals Semidefinite Optimization

2021 ◽  
pp. 1131-1131
Optimization ◽  
2019 ◽  
Vol 69 (1) ◽  
pp. 187-216 ◽  
Author(s):  
Ali Mohammad-Nezhad ◽  
Tamás Terlaky

2019 ◽  
Vol 8 (2) ◽  
Author(s):  
Mikhail Goubko ◽  
Alexander Kuznetsov

Abstract The optimal connecting network problem generalizes many models of structure optimization known from the literature, including communication and transport network topology design, graph cut and graph clustering, etc. For the case of connecting trees with the given sequence of vertex degrees the cost of the optimal tree is shown to be bounded from below by the solution of a semidefinite optimization program with bilinear matrix inequality constraints, which is reduced to the solution of a series of convex programs with linear matrix inequality constraints. The proposed lower-bound estimate is used to construct several heuristic algorithms and to evaluate their quality on a variety of generated and real-life datasets.


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