3 papers
math.OC2026
Beyond binarity: Semidefinite programming for ternary quadratic problems
Frank de Meijer, Veronica Piccialli, Renata Sotirov +1
We study the ternary quadratic problem (TQP), a quadratic optimization problem with linear constraints where the variables take values in . While semidefinite program…
math.OC2024
Optimization meets Machine Learning: An Exact Algorithm for Semi-Supervised Support Vector Machines
Veronica Piccialli, Jan Schwiddessen, Antonio M. Sudoso
Support vector machines (SVMs) are well-studied supervised learning models for binary classification. In many applications, large amounts of samples can be cheaply and easily obtai…
math.OC2024
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…