نتایج جستجو برای: iteration process delta convergence strong convergence

تعداد نتایج: 1797455  

Journal: :Journal of Inequalities and Applications 2019

2017
SHIN-YA MATSUSHITA

The Krasnosel’skiı̆–Mann (KM) iteration is a widely used method to solve fixed point problems. This paper investigates the convergence rate for the KM iteration. We first establish a new convergence rate for the KM iteration which improves the known big-O rate to little-o without any other restrictions. The proof relies on the connection between the KM iteration and a useful technique on the con...

Journal: :Bulletin of the Australian Mathematical Society 1986

Journal: :iranian economic review 0

this paper has examined the phenomenon of convergence of per capita out put levels across the ic countries for the 1960-1998 periods. three concepts of convergence, i.e., sigma beta and relative beta, have been used. the estimated beta values reveals only a very weak convergence (?=.0014) across ic for 1960-1998 period. but when a more homogeneous group of countries were selected, the results s...

Journal: :Journal of Mathematical Analysis and Applications 1992

Journal: :CoRR 2015
Ali Heydari

Adaptive optimal control of nonlinear dynamic systems with deterministic and known dynamics under a known undiscounted infinite-horizon cost function is investigated. Policy iteration scheme initiated using a stabilizing initial control is analyzed in solving the problem. The convergence of the iterations and the optimality of the limit functions, which follows from the established uniqueness o...

The traveling salesman problem (TSP) is one of the most important combinational optimization problems that have nowadays received much attention because of its practical applications in industrial and service problems. In this paper, a hybrid two-phase meta-heuristic algorithm called MACSGA used for solving the TSP is presented. At the first stage, the TSP is solved by the modified ant colony s...

Journal: :Kybernetika 1995
Friedrich Liese Andreas Wienke

The distribution of an inhomogeneous Wiener process is determined by the mean function m(t) ss EW(t) and the variance function b(t) = V^(W(t)) which depend on unknown parameter d _ 0 . Observations are assumed to be in discrete time points where the sample size tends to infinity. Using the general theory of Ibragimow, Hasminskij [2] sufficient conditions for consistency of MLE i?n are establish...

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