نتایج جستجو برای: multi point iteration

تعداد نتایج: 994803  

Journal: :journal of sciences, islamic republic of iran 2012
h. mansouri

in this paper, we present a new path-following interior-point algorithm for -horizontal linear complementarity problems (hlcps). the algorithm uses only full-newton steps which has the advantage that no line searchs are needed. moreover, we obtain the currently best known iteration bound for the algorithm with small-update method, namely, , which is as good as the linear analogue.

Journal: :international journal of nonlinear analysis and applications 2015
ali farajzadeh

in this paper, a vector version of the intermediate value theorem is established. the main theorem of this article can be considered as an improvement of the main results have been appeared in [textit{on fixed point theorems for monotone increasing vector valued mappings via scalarizing}, positivity, 19 (2) (2015) 333-340] with containing the uniqueness, convergent of each iteration to the fixe...

Journal: :bulletin of the iranian mathematical society 2014
behrouz kheirfam n. mahdavi-amiri

‎a full nesterov-todd (nt) step infeasible interior-point algorithm‎ ‎is proposed for solving monotone linear complementarity problems‎ ‎over symmetric cones by using euclidean jordan algebra‎. ‎two types of‎ ‎full nt-steps are used‎, ‎feasibility steps and centering steps‎. ‎the‎ ‎algorithm starts from strictly feasible iterates of a perturbed‎ ‎problem‎, ‎and, using the central path and feasi...

2011
JIAN-LEI LI DANG LUO Jian-Lei Li Dang Luo Zhi-Jiang Zhang

In this paper, we further investigate the local Hermitian and skew-Hermitian splitting (LHSS) iteration method and the modified LHSS (MLHSS) iteration method for solving generalized nonsymmetric saddle point problems with nonzero (2,2) blocks. When A is non-symmetric positive definite, the convergence conditions are obtained, which generalize some results of Jiang and Cao [M.-Q. Jiang and Y. Ca...

2017
Qi Lei Ian En-Hsu Yen Chao-Yuan Wu Inderjit S. Dhillon Pradeep Ravikumar

We consider the popular problem of sparse empirical risk minimization with linear predictors and a large number of both features and observations. With a convex-concave saddle point objective reformulation, we propose a Doubly Greedy PrimalDual Coordinate Descent algorithm that is able to exploit sparsity in both primal and dual variables. It enjoys a low cost per iteration and our theoretical ...

Journal: :IACR Cryptology ePrint Archive 2006
Shenghui Su Yixian Yang Bo Yang Shaolan Zhang

The authors propose a new type of hash iterative structure ─ the ring-iterative structure with feedback which is subdivided into the single feedback ring iteration and the multiple feedback ring iteration, namely SFRI and MFRI. Prove that SFRI is at least equivalent to the MD structure in security, and MFRI is at least equivalent to SFRI in security (property 1 makes people incline to believe M...

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...

2015
Christopher Fougner Stephen Boyd

In a recent paper, Parikh and Boyd describe a method for solving a convex optimization problem, where each iteration involves evaluating a proximal operator and projection onto a subspace. In this paper we address the critical practical issues of how to select the proximal parameter in each iteration, and how to scale the original problem variables, so as the achieve reliable practical performa...

Journal: :international journal of mathematical modelling and computations 0
paria assari orcid id islamic azad university, hamedan branch iran, islamic republic of taher lotfi islamic azad university, hamedan branch iran, islamic republic of

in this study, we modify an iterative non-optimal without memory method, in such a way that is becomes optimal. therefore, we obtain convergence order eight with the some functional evaluations. to justify our proposed method, some numerical examples are given.

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