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An efficient bi-parametric hyperbolic kernel function yielding the best known iteration bounds for linear programming

Volume 52 / 2025

Imene Touil Applicationes Mathematicae 52 (2025), 167-188 MSC: Primary 90C05; Secondary 90C51 DOI: 10.4064/am2544-2-2025 Published online: 21 June 2025

Abstract

The aim of this work is to improve the complexity result for the large-update method. First, we present a new bi-parametric kernel function with a hyperbolic barrier term. Then using simple tools, we show that the complexity bound of the algorithm based on the proposed kernel function for the large-update method is $\mathcal O\big(\sqrt {n}\log n\log \frac{n}{\epsilon}\big)$ iterations. This result coincides with the current best known iteration bounds for interior point methods based on all existing types of kernel functions. To illustrate the effectiveness of the algorithm developed, we give some numerical tests.

Authors

  • Imene TouilLMPA, Department of Mathematics
    University of Jijel
    BP 98, Ouled Aissa, Jijel 18000, Algeria
    e-mail

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