VOCAL 2024
Abstract Submission

116. Implementation of predictor-corrector interior-point algorithms for sufficient linear complementarity problems

Invited abstract in session WE-3: Interior-Point Methods for Linear Complementarity Problems I, stream Advances in theory and practice of interior-point methods.

Wednesday, 14:45 - 16:15
Room: C 104

Authors (first author is the speaker)

1. Roland Török
Doctoral School of Economics, Business and Informatics, Corvinus University of Budapest
2. Tibor Illés
Corvinus University of Budapest
3. Petra Renáta Rigó
Corvinus University of Budapest

Abstract

We generated new problems for sufficient linear complementarity problems. In this talk we present the obtained numerical results based on the implementation of predictor-corrector interior-point algorithms. For the determination of search directions, we used a new class of algebraically equivalent transformation functions and a kernel function, as well. We compared the results for the algorithms using different search directions.

Keywords

Status: accepted


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