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Main Author: Bemporad, Alberto
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2605.16002
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author Bemporad, Alberto
author_facet Bemporad, Alberto
contents We analyze a simple variant of the Goldfarb-Idnani (GI) dual active-set method for computing variational generalized Nash equilibria of strongly monotone N-player games with convex quadratic costs and shared affine inequality and equality constraints. We show that several properties of the GI algorithm are maintained in spite of having a possibly non-symmetric pseudogradient matrix in the joint KKT system of the game, although convergence to an existing equilibrium is not guaranteed as in the original algorithm. Our numerical results show that the method is potentially competitive with alternative state-of-the-art algorithms, including for computing solutions of game-theoretic linear model predictive control laws.
format Preprint
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institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Towards A Goldfarb-Idnani Variant for Strongly Monotone Linear-Quadratic Games
Bemporad, Alberto
Optimization and Control
We analyze a simple variant of the Goldfarb-Idnani (GI) dual active-set method for computing variational generalized Nash equilibria of strongly monotone N-player games with convex quadratic costs and shared affine inequality and equality constraints. We show that several properties of the GI algorithm are maintained in spite of having a possibly non-symmetric pseudogradient matrix in the joint KKT system of the game, although convergence to an existing equilibrium is not guaranteed as in the original algorithm. Our numerical results show that the method is potentially competitive with alternative state-of-the-art algorithms, including for computing solutions of game-theoretic linear model predictive control laws.
title Towards A Goldfarb-Idnani Variant for Strongly Monotone Linear-Quadratic Games
topic Optimization and Control
url https://arxiv.org/abs/2605.16002