A new parameterized logarithmic kernel function for linear optimization with a double barrier term yielding the best known iteration bound

In this paper, we propose a large-update primal-dual interior point algorithm for linear optimization. The method is based on a new class of kernel functions which differs from the existing kernel functions in which it has a double barrier term. The investigation according to it yields the best know...

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Main Authors: Ayache Benhadid, Khaled Saoudi
Format: Article
Language:English
Published: Sciendo 2020-06-01
Series:Communications in Mathematics
Subjects:
Online Access:https://doi.org/10.2478/cm-2020-0003
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spelling doaj-9fd16faa65474c88a42b24bfdf6bf2302021-09-06T19:22:06ZengSciendoCommunications in Mathematics2336-12982020-06-01281274110.2478/cm-2020-0003cm-2020-0003A new parameterized logarithmic kernel function for linear optimization with a double barrier term yielding the best known iteration boundAyache Benhadid0Khaled Saoudi1Department of mathematics, Université de Batna 2 – Mostefa, Ben Boulaïd, 53, Route de Constantine, Fésdis, Batna05078, AlgeriaDepartment of Mathematics and Computer Science, Abbes Laghrour University, BP 1252 Route de Batna, Khenchela40004, AlgeriaIn this paper, we propose a large-update primal-dual interior point algorithm for linear optimization. The method is based on a new class of kernel functions which differs from the existing kernel functions in which it has a double barrier term. The investigation according to it yields the best known iteration bound Onlog(n)log(n∈)\sqrt n \log (n)\log \left( {{n \over \in }} \right) for large-update algorithm with the special choice of its parameter m and thus improves the iteration bound obtained in Bai et al. [2] for large-update algorithm.https://doi.org/10.2478/cm-2020-0003linear optimizationkernel functioninterior point methodscomplexity bound90c0590c5190c31
collection DOAJ
language English
format Article
sources DOAJ
author Ayache Benhadid
Khaled Saoudi
spellingShingle Ayache Benhadid
Khaled Saoudi
A new parameterized logarithmic kernel function for linear optimization with a double barrier term yielding the best known iteration bound
Communications in Mathematics
linear optimization
kernel function
interior point methods
complexity bound
90c05
90c51
90c31
author_facet Ayache Benhadid
Khaled Saoudi
author_sort Ayache Benhadid
title A new parameterized logarithmic kernel function for linear optimization with a double barrier term yielding the best known iteration bound
title_short A new parameterized logarithmic kernel function for linear optimization with a double barrier term yielding the best known iteration bound
title_full A new parameterized logarithmic kernel function for linear optimization with a double barrier term yielding the best known iteration bound
title_fullStr A new parameterized logarithmic kernel function for linear optimization with a double barrier term yielding the best known iteration bound
title_full_unstemmed A new parameterized logarithmic kernel function for linear optimization with a double barrier term yielding the best known iteration bound
title_sort new parameterized logarithmic kernel function for linear optimization with a double barrier term yielding the best known iteration bound
publisher Sciendo
series Communications in Mathematics
issn 2336-1298
publishDate 2020-06-01
description In this paper, we propose a large-update primal-dual interior point algorithm for linear optimization. The method is based on a new class of kernel functions which differs from the existing kernel functions in which it has a double barrier term. The investigation according to it yields the best known iteration bound Onlog(n)log(n∈)\sqrt n \log (n)\log \left( {{n \over \in }} \right) for large-update algorithm with the special choice of its parameter m and thus improves the iteration bound obtained in Bai et al. [2] for large-update algorithm.
topic linear optimization
kernel function
interior point methods
complexity bound
90c05
90c51
90c31
url https://doi.org/10.2478/cm-2020-0003
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