نتایج جستجو برای: hybrid conjugate gradient algorithm

تعداد نتایج: 1056778  

Nonlinear conjugate gradient method is well known in solving large-scale unconstrained optimization problems due to it’s low storage requirement and simple to implement. Research activities on it’s application to handle higher dimensional systems of nonlinear equations are just beginning. This paper presents a Threeterm Conjugate Gradient algorithm for solving Large-Scale systems of nonlinear e...

Journal: :SIAM Journal on Matrix Analysis and Applications 2006

Journal: :Applications of Mathematics 1982

Journal: :Discrete Dynamics in Nature and Society 2006

رحیم پور, حمید , میار نعیمی, حسین ,

In this paper the effect of imbalances between the two branches in LINC transmitters has been analyzed.  Then these imbalances have been compensated in the proposed structure adaptively. Conjugate gradient algorithm has been used in the proposed structure to find optimum gain value of each branch for calibrating imbalances. These complex values changes automatically in a way to minimize ph...

Journal: :Basic and Applied Sciences - Scientific Journal of King Faisal University 2023

This paper presents an iterative algorithm for solving intuitionistic fuzzy nonlinear equations (IFNEs). The proposed method is based on the classical conjugate gradient (CG) search direction. An interesting feature of new that it considers problems special triangular number. For this purpose, quantities are transformed into membership and non-membership parametric forms, a line procedure emplo...

2013
Li Liu Wang Zhan - jun

Electromagnetic tomography technology is a new process tomography technology. The aim of this study is to develop a new image reconstruction algorithm suitable to electromagnetic tomography and verify its convergence. The advantages and development of electromagnetic tomography technology and image reconstruction algorithms are introduced briefly. Based on conjugate gradient algorithm, modified...

In this paper, an efficient conjugate gradient method for unconstrained optimization is introduced. Parameters of the method are obtained by solving an optimization problem, and using a variant of the modified secant condition. The new conjugate gradient parameter benefits from function information as well as gradient information in each iteration. The proposed method has global convergence und...

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