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Author

A. Bagirov

2 papers indexed here

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Preprint Aug 2026

A method for global minimization of nonconvex quadratic functions

The problem of global minimization of nonconvex quadratic functions subject to box constraints is studied. Applying Gershgorin theorem we reduce the main matrix A to its diagonal form which is used to obtain difference of convex representation of the quadratic function. Then {\epsilon}-subdifferentials of DC components...

A. Bagirov, Vivek Laha, Juan Enrique Martínez-Legaz · 0 citations
Open access Sep 2026

Optimization-Driven Cluster-Weighted Clusterwise Linear Regression

Clusterwise Linear Regression (CLR) integrates clustering and regression to uncover complex relationships within heterogeneous datasets by simultaneously partitioning data and fitting cluster-specific models. This dual capability offers a significant advantage over traditional regression methods, which assume homogenei...

Sona Taheri, A. Bagirov, Nelusha Anne Perera et al. · 0 citations

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