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05/03/2022
Proximal stabilized Interior Point Methods for quadratic programming and low-frequency-updates preconditioning techniques
In this work, in the context of Linear and Quadratic Programming, we int...
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01/25/2022
A semismooth Newton-proximal method of multipliers for ℓ_1-regularized convex quadratic programming
In this paper we present a method for the solution of ℓ_1-regularized co...
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07/14/2021
General-purpose preconditioning for regularized interior point methods
In this paper we present general-purpose preconditioners for regularized...
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06/28/2021
Material-separating regularizer for multi-energy X-ray tomography
Dual-energy X-ray tomography is considered in a context where the target...
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02/26/2021
Sparse Approximations with Interior Point Methods
Large-scale optimization problems that seek sparse solutions have become...
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12/16/2020
ADMM and inexact ALM: the QP case
Embedding randomization procedures in the Alternating Direction Method o...
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12/20/2019
A New Preconditioning Approach for an Interior Point-Proximal Method of Multipliers for Linear and Convex Quadratic Programming
In this paper, we address the efficient numerical solution of linear and...
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09/13/2019
A relaxed interior point method for low-rank semidefinite programming problems
A new relaxed variant of interior point method for low-rank semidefinite...
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10/05/2018
Mathematical models for stable matching problems with ties and incomplete lists
We present new integer linear programming (ILP) models for NP-hard optim...
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04/19/2013