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1 paper

math.OC2025

A condensing approach for linear-quadratic optimization with geometric constraints

Alberto De Marchi

Optimization problems with convex quadratic cost and polyhedral constraints are ubiquitous in signal processing, automatic control and decision-making. We consider here an enlarged…