Issue |
RAIRO-Oper. Res.
Volume 57, Number 3, May-June 2023
|
|
---|---|---|
Page(s) | 1059 - 1073 | |
DOI | https://doi.org/10.1051/ro/2023054 | |
Published online | 11 May 2023 |
A path-following interior-point algorithm for monotone LCP based on a modified Newton search direction
Laboratory of Fundamental and Numerical Mathematics, Department of Mathematics, Faculty of Sciences, University Ferhat Abbas Sétif 1, Sétif 19000, Algeria
* Corresponding author: welid.gimes@univ-setif.dz
Received:
23
February
2022
Accepted:
10
April
2023
In this paper, we propose a short-step feasible full-Newton step path-following interior-point algorithm (IPA) for monotone linear complementarity problems (LCPs). The proposed IPA uses the technique of algebraic equivalent transformation (AET) induced by an univariate function to transform the centering equations which defines the central-path. By applying Newton’s method to the modified system of the central-path of LCP, a new Newton search direction is obtained. Under new appropriate defaults of the threshold τ which defines the size of the neighborhood of the central-path and of θ which determines the decrease in the barrier parameter, we prove that the IPA is well-defined and converges locally quadratically to a solution of the monotone LCPs. Moreover, we derive its iteration bound, namely, O(√nlog n\ϵ) which coincides with the best-known iteration bound for such algorithms. Finally, some numerical results are presented to show its efficiency.
Mathematics Subject Classification: 90C33 / 90C51
Key words: Monotone linear complementarity problems / Interior-point algorithm / Algebraic equivalent transformation / Full-Newton step / Polynomial complexity
© The authors. Published by EDP Sciences, ROADEF, SMAI 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.