Keyword: global convergence

Found 24 papers in total
Global versus local search: the impact of population sizes on evolutionary algorithm performance
Global versus local search: the impact of population sizes on evolutionary algorithm performance
2016,
In the field of Evolutionary Computation, a common myth that ‘An Evolutionary...
Strong convergence theorems for a countable family of quasi-φ-asymptotically nonexpansive nonself mappings
Strong convergence theorems for a countable family of quasi-φ-asymptotically nonexpansive nonself mappings
2012,
The purpose of this article is to introduce a class of quasi ‐ φ ‐...
Convergence and quasi-optimality of adaptive FEM with inhomogeneous Dirichlet data
Convergence and quasi-optimality of adaptive FEM with inhomogeneous Dirichlet data
2014,
We consider the solution of a second order elliptic PDE with inhomogeneous Dirichlet...
Sinc‐Galerkin method for numerical solution of the Bratu’s problems
Sinc‐Galerkin method for numerical solution of the Bratu’s problems
2013,
Study of the performance of the Galerkin method using sinc basis functions for solving...
Global convergence of a modified Hestenes‐Stiefel nonlinear conjugate gradient method with Armijo line search
Global convergence of a modified Hestenes‐Stiefel nonlinear conjugate gradient method with Armijo line search
2012,
In this article, based on the modified secant equation, we propose a modified...
Secant‐type methods and nondiscrete induction
Secant‐type methods and nondiscrete induction
2012,
The celebrated nondiscrete mathematical induction has been used to improve error...
Acceleration of generalized hypergeometric functions through precise remainder asymptotics
Acceleration of generalized hypergeometric functions through precise remainder asymptotics
2012,
We express the asymptotics of the remainders of the partial sums { s n } of the...
Convergence analysis of high‐order compact alternating direction implicit schemes for the two‐dimensional time fractional diffusion equation
Convergence analysis of high‐order compact alternating direction implicit schemes for the two‐dimensional time fractional diffusion equation
2013,
High‐order compact finite difference method with operator‐splitting...
Global convergence and the Powell singular function
Global convergence and the Powell singular function
2013,
The Powell singular function was introduced 1962 by M.J.D. Powell as an unconstrained...
Convergence of a class of penalty methods for constrained scalar set‐valued optimization
Convergence of a class of penalty methods for constrained scalar set‐valued optimization
2013,
In this paper, we study a class of penalty methods for a class of constrained scalar...
Strong convergence theorems for variational inequality problems and fixed point problems in uniformly smooth and uniformly convex Banach spaces
Strong convergence theorems for variational inequality problems and fixed point problems in uniformly smooth and uniformly convex Banach spaces
2013,
In this paper, we introduce a new iterative algorithm for finding a common element of...
Strong convergence theorems for approximating common fixed points of families of nonexpansive mappings and applications
Strong convergence theorems for approximating common fixed points of families of nonexpansive mappings and applications
2013,
An implicit algorithm for finding common fixed points of an uncountable family of...
Examples of inconsistency in optimization by expected improvement
Examples of inconsistency in optimization by expected improvement
2013,
We consider the 1D Expected Improvement optimization based on Gaussian processes...
Strong convergence theorem for nonexpansive semigroups and systems of equilibrium problems
Strong convergence theorem for nonexpansive semigroups and systems of equilibrium problems
2013,
Our purpose in this paper is to prove strong convergence theorem for finding a common...
Convergence Analysis of the Gauss–Newton‐Type Method for Lipschitz‐Like Mappings
Convergence Analysis of the Gauss–Newton‐Type Method for Lipschitz‐Like Mappings
2013,
We introduce in the present paper a Gauss–Newton‐type method for solving...
Convergence analysis of power penalty method for American bond option pricing
Convergence analysis of power penalty method for American bond option pricing
2013,
This paper is concerned with the convergence analysis of power penalty method to...
Statistical approximation by Meyer‐König and Zeller operators of finite type based on the q‐integers
Statistical approximation by Meyer‐König and Zeller operators of finite type based on the q‐integers
2012,
Gavrea and Trif [I. Gavrea, T. Trif, The rate of convergence by certain new...
A projected semismooth Newton method for problems of calibrating least squares covariance matrix
A projected semismooth Newton method for problems of calibrating least squares covariance matrix
2011,
In this paper we propose a projected semismooth Newton method to solve the problem of...
On the convergence of augmented Lagrangian methods for nonlinear semidefinite programming
On the convergence of augmented Lagrangian methods for nonlinear semidefinite programming
2012,
In this paper, we present new convergence properties of the augmented Lagrangian...
Weak and Strong Convergence Theorems of Quasi‐Nonexpansive Mappings in a Hilbert Spaces
Weak and Strong Convergence Theorems of Quasi‐Nonexpansive Mappings in a Hilbert Spaces
2012,
In this paper, we first prove the weak convergence for the Moudafi’s iterative...
Uniform Global Convergence of a Hybrid Scheme for Singularly Perturbed Reaction–Diffusion Systems
Uniform Global Convergence of a Hybrid Scheme for Singularly Perturbed Reaction–Diffusion Systems
2011,
We consider a system of coupled singularly perturbed reaction–diffusion...
Convergence rate of McCormick relaxations
Convergence rate of McCormick relaxations
2012,
Theory for the convergence order of the convex relaxations by McCormick (1976) for...
Global Convergence of a Nonmonotone Trust Region Algorithm with Memory for Unconstrained Optimization
Global Convergence of a Nonmonotone Trust Region Algorithm with Memory for Unconstrained Optimization
2011,
In this paper, we consider a trust region algorithm for unconstrained optimization...
Sufficient descent directions in unconstrained optimization
Sufficient descent directions in unconstrained optimization
2011,
Descent property is very important for an iterative method to be globally convergent....
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