نتایج جستجو برای: search directions

تعداد نتایج: 384783  

Journal: :bulletin of the iranian mathematical society 2012
maryam zangiabadi hossein mansouri

we present a modified version of the infeasible-interior- we present a modified version of the infeasible-interior-point algorithm for monotone linear complementary problems introduced by mansouri et al. (nonlinear anal. real world appl. 12(2011) 545--561). each main step of the algorithm consists of a feasibility step and several centering steps. we use a different feasibility step, which targ...

In this paper, a new hybrid conjugate gradient algorithm is proposed for solving unconstrained optimization problems. This new method can generate sufficient descent directions unrelated to any line search. Moreover, the global convergence of the proposed method is proved under the Wolfe line search. Numerical experiments are also presented to show the efficiency of the proposed algorithm, espe...

Using search directions of a recent class of three--term conjugate gradient methods, modified versions of the Hestenes-Stiefel and Polak-Ribiere-Polyak methods are proposed which satisfy the sufficient descent condition. The methods are shown to be globally convergent when the line search fulfills the (strong) Wolfe conditions. Numerical experiments are done on a set of CUTEr unconstrained opti...

Mansouri, Siyavash, Zangiabadi,

We present a new algorithm obtained by changing the search directions in the algorithm given in [8]. This algorithm is based on a new technique for finding the search direction and the strategy of the central path. At each iteration, we use only the full Nesterov-Todd (NT)step. Moreover, we obtain the currently best known iteration bound for the infeasible interior-point algorithms with full NT...

2010
Stefano Ceri Daniele Braga Francesco Corcoglioniti Michael Grossniklaus Salvatore Vadacca

Search Computing (SeCo) is a project funded by the European Research Council (ERC). It focuses on building the answers to complex search queries like “Where can I attend an interesting conference in my field close to a sunny beach?” by interacting with a constellation of cooperating search services, using ranking and joining of results as the dominant factors for service composition. SeCo start...

Journal: :SciPost physics lecture notes 2022

The identification of the nature dark matter is one most important problems confronting particle physics. Current observational constraints permit mass to range from 10^{-22} 10−22 eV - 10^{48} display="inline"><mml:msu...

Journal: :RAIRO - Operations Research 2017
Mehdi Karimi Shen Luo Levent Tunçel

We propose a family of search directions based on primal-dual entropy in the contextof interior-point methods for linear optimization. We show that by using entropy based searchdirections in the predictor step of a predictor-corrector algorithm together with a homogeneousself-dual embedding, we can achieve the current best iteration complexity bound for linear opti-mization. The...

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