convergence analysis
Convergence analysis of algorithms for memristive oscillator system
... the convergence analysis of two types of algorithms for solving a class of memristive oscillator ...theoretical analysis in this area will contribute to further ignition of interest and promotion of ...
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Convergence analysis on a modified generalized alternating direction method of multipliers
... global convergence of the iterative framework (13a)–(13d) has been analyzed in [11], and the corresponding numerical results illustrated that the proposed method can solve these problems not only effectively but ...
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Relatively Inexact Proximal Point Algorithm and Linear Convergence Analysis
... linear convergence using the proximal point algorithm in a real Hilbert space ...setting. Convergence analysis, based on this new model, is simpler and compact than that of the celebrated technique ...
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Convergence Analysis of a Mixed Controlled Adaptive Algorithm
... In this section, the convergence analysis of the proposed algorithm is detailed. The following assumptions which are quite similar to what is usually assumed in literature and which can also be justified in ...
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Convergence analysis and tuning of a sliding mode ripple correlation MPPT
... the convergence analysis of a sliding-mode version of the MPPT based on ripple correlation control ...phenomena analysis and a discussion on the effects of reactive parasitic elements in the PV ...
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Optimal Convergence Analysis for Convection Dominated Diffusion Problems
... In this paper, to utilize the above advantages for the convection dominated diffusion problems, we shall pro- pose an H1-Galerkin mixed finite element method com- bined with the method of characteristics, and examine the ...
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The Firefly Optimization Algorithm: Convergence Analysis and Parameter Selection
... highest convergence rate than set 2 and set ...1. Convergence parameter is not the only important factor, convergence trajectory is also important because equal convergence rate doesn’t yield ...
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Convergence analysis of the iterative methods for quasi complementarity problems
... It is obvious dat lemma 3.1 implies that if the convex set involved in both tJe quasi variational inequality and the quasi complementarity problem is a convex cone, then both the problem[r] ...
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Convergence analysis: a new approach
... developed) convergence, while in OECD countries divergence was ...of convergence is very slow; more than 100 years are needed for significant catching ...of convergence in least developed ...partial ...
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Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms
... The convergence of multi-block extensions of Heavy-ball method is ...linear convergence rates are proved for the cyclic and stochastic update rules, ...our analysis to the decentralized Heavy-ball ...
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Convergence Analysis of Finite Element Approach to Classical Approach for Analysis of Plates in Bending
... loading. Unfortunately, the governing differential equations are solvable only for simple geometry and boundary conditions [2]. During the last ten years, much progress has been made in the devel- opment of structural ...
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New iteration process for pseudocontractive mappings with convergence analysis
... In this study, we introduce a three step iteration process and prove a convergence result for a countable family of pseudocontractive mappings. Our results improve and generalize most of the results that have been ...
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Distributed nonconvex optimization: Algorithms and convergence analysis
... In this paper we consider distributed optimization problems over a multi-agent network, where each agent can only partially evaluate the objective function, and it is allowed to exchange messages with its immediate ...
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Regional Differences and Convergence Analysis of Green Energy Efficiency in China
... From Table 2, we can see that, from the national perspective, the regression coefficient β is negative, but the statistics are not significant, and the parameters γ / λ reflecting the spatial correlation are ...
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Classification with Large Sparse Datasets: Convergence Analysis and Scalable Algorithms
... the convergence behavior of linear SVM on large sparse ...and convergence? In this chapter, we address several common missing data mechanisms and propose novel data generation methods based on these ...the ...
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Convergence analysis of macro spreading in 3D heterogeneous porous media*,**
... In [7], numerical experiments show that geometric multigrid is very efficient for 2D domains, but is not adapted to highly variable coefficients, because the number of cycles becomes too high. In [20], numerical ...
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An Improved Technique for Ear Recognition Based On Force Field Analysis and Convergence Analysis
... The standard for right segmentation is that the binary image maintains useful information as much as possible while not brings in some interference information. Because only in this way can we ensure that the canny ...
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Convergence analysis of an improved pagerank algorithm
... 5. Iterative Aggregation/Disaggregation (IAD). The iterative aggregation/disaggregation (IAD) method [7, §8.2.2], [8, §3.2.1] improves the PageRank algorithm [2]. It consists of repeated application of Algorithm 2. We ...
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Convergence analysis for the equilibrium problems with numerical results
... strong convergence theorem for approximating a common element of the set of fixed points of nonspreading mappings and a finite family of the set of solutions of the equilibrium ...strong convergence theorem ...
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Convergence Analysis of Iterative Threshold Decoding Process
... All work on the Exit chart have focused around the iterative decoding of convolution codes, however, in this paper, we propose to apply it to analyze the convergence beha- vior of the iterative decoding threshold ...
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