نتایج جستجو برای: trust region
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We have recently proposed a manifold-based trust-region method to compute extreme eigenpairs of symmetric matrix pencils [3]. The general optimization method had been shown [1, 2] to enjoy strong global and local convergence properties, which are inherited by its ”brute force” application to the extreme eigenproblem. However, the trust-region mechanism, which restricts the norm of the update in...
A general scheme for trust-region methods on Riemannian manifolds is proposed. A truncated conjugate-gradient method is utilized to solve the trust-region subproblems. The method is illustrated several problems of numerical linear algebra.
We review the main techniques used in trust region algorithms for nonlinear constrained optimization. 1. Trust Region Idea Constrained optimization is to minimize a function subject to finitely many algebraic equation and inequality conditions. It has the following form
the present paper deals with criminal issues. for example, legal injunction on the necessity of returning a deposit has a legal nature and legal injunction on the punishment of those who breach the trust has a criminal nature. existing social issues are the basis of classification of some instances into the issue, some of which are based on variation and others on quality. therefore, the motiva...
چکیده : هدف پژوهش حاضر، تعیین نقش واسطهای اعتماد سازمانی در رابطه ی بین عدالت سازمانی و یادگیری سازمانی به روش تحلیل مسیر میباشد. برای این منظور با استفاده از روش نمونه گیری تصادفی ساده 1?0 نفر از کارکنان اداره ورزش و جوانان استان فارس انتخاب و به پرسشنامه های متشکل از ابعاد یادگیری سازمانی، عدالت سازمانی و اعتماد سازمانی پاسخ دادند. نتایج پژوهش به طور کلی نشان داد که رابطه ی عدالت سازمان...
Optimization using radial basis functions as an interpolation tool in trust-region (ORBIT), is a derivative-free framework based on fully linear models to solve unconstrained local optimization, especially when the function evaluations are computationally expensive. This algorithm stores the interpolation points and function values to using at subsequent iterations. Despite the comparatively ad...
In this paper, we investigate the use of DC (Difference of Convex functions) models and algorithms in the solution of nonlinear optimization problems by trust-region methods. We consider DC local models for the quadratic model of the objective function used to compute the trust-region step, and apply a primal-dual subgradient method to the solution of the corresponding trust-region subproblems....
the caspian sea contains great resources of oil and gas. the caspian sea is a 700- mile- long body of water in central asia, land located between azerbaijan, iran, kazakhstan, russia and turkmenistan. iran was challenges and opportunities in the caspian region. key question in this thesis includes three section that first question, opportunities of iran in the caspian region, second question ch...
The trust{region subproblem arises frequently in linear algebra and optimization applications. Recently, matrix{free methods have been introduced to solve large{ scale trust{region subproblems. These methods only require a matrix{vector product and do not rely on matrix factorizations 4, 7]. These approaches recast the trust{ region subproblem in terms of a parameterized eigenvalue problem and ...
Given an algorithm A for solving some mathematical problem based on the iterative solution of simpler subproblems, an Outer Trust-Region (OTR) modification of A is the result of adding a trust-region constraint to each subproblem. The trust-region size is adaptively updated according to the behavior of crucial variables. The new subproblems should not be more complex than the original ones and ...
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