İmene Touil

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

İmene Touil

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 …

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

İmene Touil, Wided Chikouche, Djamel Benterki, Amina Zerari

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Increased Rheumatoid Factor production in patients with severe COVID-19

Mourad Elghali, Ichrak Bannour, İmene Touil, Maha Changuel et autres

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A Large-update Primal-dual Interior-point Algorithm for Convex Quadratic Optimization Based on a New Bi-parameterized Bi-hyperbolic Kernel Function

Youssra Bouhenache, Wided Chikouche, İmene Touil

We present a polynomial-time primal-dual interior-point algorithm (IPA) for solving convex quadratic optimization (CQO) problems, based on a bi-parameterized bi-hyperbolic kernel function (KF). The growth term is a combination of the classical quadratic term and a hyperbolic one depending on a parameter …

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Complexity of primal-dual interior-point algorithm for linear programming based on a new class of kernel functions

Safa Guerdouh, Wided Chikouche, İmene Touil, Adnan Yassine

In this paper, we first present a polynomial-time primal-dual interior-point method (IPM) for solving linear programming (LP) problems, based on a new kernel function (KF) with a hyperbolic-logarithmic barrier term.To improve the iteration bound, we propose a parameterized version of this function.We …

A Primal-Dual Interior-Point Algorithm Based on a Kernel Function with a New Barrier Term

Safa Guerdouh, Wided Chikouche, İmene Touil

In this paper, we propose a path-following interior-point method (IPM) for solving linear optimization (LO) problems based on a new kernel function (KF). The latter differs from other KFs in having an exponential-hyperbolic barrier term that belongs to the hyperbolic type, recently …

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Novel Kernel Function With a Hyperbolic Barrier Term to Primal-dual Interior Point Algorithm for SDP Problems

İmene Touil, Wided Chikouche

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Does CT scan really predict severity in covid.19patients?

Hassène Baïli, İmene Touil, Jihene Chelly, Amira Omrane et autres

Introduction: Clinical presentation of SARS-Cov-2 infection is highly variable. Several factors are predictive of stern forms and death. The chest CT scan is invaluable in assessing the severity and prognosis of this disease. We aimed to determine the predictors of severity of …

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Primal-dual interior point methods for Semidefinite programming based on a new type of kernel functions

İmene Touil, Wided Chikouche

In this paper, we propose the first hyperbolic-logarithmic kernel function for Semidefinite programming problems. By simple analysis tools, several properties of this kernel function are used to compute the total number of iterations. We show that the worst-case iteration complexity of our …

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Complexity analysis of primal-dual interior point methods for semidefinite programming based on a new kernel function with an hyperbolic barrier term

İmene Touil, Wided Chikouche