An Efficient Hyperbolic Kernel Function Yielding the Best Known Iteration Bounds for Linear Programming

I Touil, W Chikouche, D Benterki, A Zerari - Acta Mathematicae Applicatae …, 2025 - Springer
Interior-point methods (IPMs) for linear programming (LP) are generally based on the
logarithmic barrier function. Peng et al.(J. Comput. Technol. 6: 61–80, 2001) were the first to …

Complexity analysis of primal-dual interior-point methods for semidefinite optimization based on a new type of kernel functions

B Bounibane, R Chalekh - Statistics, Optimization & Information …, 2024 - iapress.org
Kernel functions are essential for designing and analyzing interior-point methods (IPMs).
They are used to determine search directions and reduce the computational complexity of …

[PDF][PDF] An interior-point algorithm for P (κ)-LCPs based on a new kernel function with a double barrier term

L Derbala, Z Kebbichea - Filomat, 2024 - pmf.ni.ac.rs
In this paper, new search directions and proximity measures are proposed for P∗(κ)-linear
complementarity problem. The new method is based on a new class of kernel function which …

Méthodes de points intérieurs appliquées au problème de complémentarité linéaire

N Hazzam - 2021 - dspace.univ-setif.dz
Dans cette thèse, on s' intéresse à l'analyse et l'étude numérique des méthodes de points
intérieurs pour résoudre le problème de complémentarité linéaire horizontal (PCLH). Dans …

Optimal Design of Circuit Breaker Based on Flower Pollination Algorithm

LI Guodong, XIE Min, T Yunhe - 2022 - researchsquare.com
The flower pollination algorithm is a new meta-heuristic algorithm that simulates the
pollination behavior of flowers in nature. Aiming at the problem that the basic flower …