نتایج جستجو برای: global k

تعداد نتایج: 813755  

Journal: :Appl. Math. Lett. 2010
Sergio Bermudo Juan A. Rodríguez-Velázquez Jose Maria Sigarreta Ismael González Yero

We investigate the relationship between global offensive k-alliances and some characteristic sets of a graph including r-dependent sets, τ dominating sets and standard dominating sets. In addition, we discuss the close relationship that exist among the (global) offensive ki-alliance number of Γi, i ∈ {1, 2} and the (global) offensive k-alliance number of Γ1×Γ2, for some specific values of k. As...

Journal: :Applied Mathematics Letters 2003

Journal: :Journal of Computer and Communications 2019

Journal: :Topological Methods in Nonlinear Analysis 1999

Journal: :International Journal of Computer Applications 2013

2009
BJORN POONEN

There is an algorithm that takes as input a global field k and produces a curve over k violating the local-global principle. Also, given a global field k and a nonnegative integer n, one can effectively construct a curve X over k such that #X(k) = n.

Journal: :ارتقای ایمنی و پیشگیری از مصدومیتها 0
حمید سوری h soori دانشگاه علوم پزشکی شهید بهشتیسازمان اصلی تایید شده: دانشگاه علوم پزشکی شهید بهشتی (shahid beheshti university of medical sciences) e ainy دانشگاه علوم پزشکی شهید بهشتیسازمان اصلی تایید شده: دانشگاه علوم پزشکی شهید بهشتی (shahid beheshti university of medical sciences) m iranfar دانشگاه علوم پزشکی شهید بهشتیسازمان اصلی تایید شده: دانشگاه علوم پزشکی شهید بهشتی (shahid beheshti university of medical sciences)

references nikzad f. road traffic injuries and its cause’s damage. ordered by islamic republic of iran traffic police. asas naja 2005. esmaeili a r, pakgohar a. traffic safety. ordered by islamic republic of iran traffic police. asas naja 2006. world health organization. global status report on road safety. time for action. tranlated by hamid soori and his colleagues. ronas publisher, tehran, w...

Journal: :J. Global Optimization 2014
Ana Maria A. C. Rocha M. Fernanda P. Costa Edite M. G. P. Fernandes

This paper presents a filter-based artificial fish swarm algorithm for solving nonconvex constrained global optimization problems. Convergence to an ε-global minimizer is guaranteed. At each iteration k, the algorithm requires a (ρ(k),ε(k))-global minimizer of a bound constrained bi-objective subproblem, where as k→ ∞, ρ(k)→ 0 gives the constraint violation tolerance and ε(k)→ ε is the error bo...

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