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math.OC2022★ 1 cited
Fix and Bound: An efficient approach for solving large-scale quadratic programming problems with box constraints
Marco Locatelli, Veronica Piccialli, Antonio M. Sudoso
In this paper, we propose a branch-and-bound algorithm for solving nonconvex quadratic programming problems with box constraints (BoxQP). Our approach combines existing tools, such…
math.OC2022★ 6 cited
Global Optimization for Cardinality-constrained Minimum Sum-of-Squares Clustering via Semidefinite Programming
Veronica Piccialli, Antonio M. Sudoso
The minimum sum-of-squares clustering (MSSC), or k-means type clustering, has been recently extended to exploit prior knowledge on the cardinality of each cluster. Such knowledge i…