We introduce an interior-point method for symmetric optimization based on a new method for
determining search directions. In order to accomplish this, we use a new equivalent …

Linear optimization (LO) has numerous applications in different fields, such as, economics,
logistics, engineering, statistics [141, 152]. The classical method for solving LO problems is …

We propose new short-step interior-point algorithms (IPAs) for solving P_*(κ)-linear
complementarity problems (LCPs). In order to define the search directions we use the …

Dans cette recherche, on s' intéresse à l'étude asymptotique des méthodes de points
intérieurs pour la programmation linéaire. En se basant sur les travaux de Schrijver et …

We study the numerical solution of the problem, where is a symmetric square matrix, and is a
linear operator, such that is invertible. With the desired fractional duality gap, and the …

We propose a new predictor-corrector (PC) interior-point algorithm (IPA) for solving linear
complementarity problem (LCP) with P_*(κ)-matrices. The introduced IPA uses a new type of …

La mondialisation a permis l'instauration de plusieurs institutions d'arbitrage. Cette multitude
de choix offerte aux investisseurs pourrait induire les parties à choisir une institution …