Quadratic programming with one quadratic constraint in Hilbert spaces
Optimization and Control
2023-03-10 v1 Functional Analysis
Abstract
A quadratically constrained quadratic programming problem is considered in a Hilbert space setting, where neither the objective nor the constraint are convex functions. Necessary and sufficient conditions are provided to guarantee that the problem admits solutions for every initial data (in an adequate set).
Cite
@article{arxiv.2303.05204,
title = {Quadratic programming with one quadratic constraint in Hilbert spaces},
author = {Santiago Gonzalez Zerbo and Alejandra Maestripieri and Francisco Martínez Pería},
journal= {arXiv preprint arXiv:2303.05204},
year = {2023}
}
Comments
21 pages, comments are welcomed!