Convergence of the proposed method
Global convergence of a modified conjugate gradient method
... gradient method to solve unconstrained optimization problems is proposed which satisfies the sufficient descent condition in the case of the strong Wolfe line search, and its global convergence property ...
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4 The Proposed SFCM/RBF Training Method
... SFCM method. The improved of the convergence rate of proposed method is due to the fact that it does not involve the formulation and solution of a nonlinear optimization problem, while it ...
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Proposed Heuristic Method for Solving Assignment Problems
... our proposed heuristic method gave comparable results compared with that of Hungarian ...and convergence rate of the proposed method showed much less time than that of the Hungarian ...
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Convergence of Relaxed Hermitian and Skew hermitian Splitting Method
... splitting method and analyze the convergence of our ...the proposed method are smaller than those in [2], which is shown through numerical ...the convergence of the considered ...
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A Proposed SM-IMSAF Algorithm with Fast Convergence Rate
... fast convergence rate, we propose a novel algorithm at the basis of the improved multiband-structured subband adaptive filter algorithm ...The proposed algorithm incorporates the idea of set-membership into ...
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Accelerating Convergence Method for Relaxation Cooperative Optimization
... ACCELERATING CONVERGENCE RELAXATION COLLABORATIVE OPTIMIZATION To solve the problems of large calculate cost and low efficiency in the CO ...ACRCO method is proposed in this paper, which definite the ...
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Convergence analysis of the Generalized Empirical Interpolation Method
... Instead of working with such certified a priori adaptive subsets, another a posteriori adaptative option can be proposed following the arguments presented in [15] where a knowledge of the geometry of F is learnt ...
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On the Convergence of the Decomposition Method for Support Vector Machines
... decomposition method is currently one of the major methods for solving support vector machines ...Its convergence properties have not been fully ...asymptotic convergence was first proposed by ...
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A proposed simplification of the adaptive local deconvolution method
... In Large-Eddy Simulation (LES) of turbulent flows the evolution of non-universal larger scales is computed, whereas their interaction with unresolved subgrid scales (SGS) is modeled. SGS effects are modeled explicitly if ...
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Convergence of an adaptive finite element method on quadrilateral meshes
... 17), has optimal work count in the sense that for a given accuracy ε > 0, the algorithm provides a discrete solution u h satisfying |u − u h | 1 ≤ ε with a number of operations proportional to ε −1/s . The combination of ...
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Global Convergence of a Modified Tri Dimensional Filter Method
... This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/ Abstract In this paper, a tri-dimensional filter method for nonlinear ...
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II. PROPOSED METHOD
... ROPOSED METHOD The method is based on the use of a plane frame computer program and, like PFM, it does not require explicit knowledge of the global structure stiffness ...
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III. PROPOSED METHOD
... The proposed algorithm employs features which distinguish noise from other parts of the SDI. The input of KFCM are two feature including the average intensity of an 8*8 sub-window of neighboring pixels and the ...
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3 The Proposed Method
... Our method can get the same result as usual methods by solving only one Partial Differential Equations (PDE) problem; it is superior to existing methods because it is faster and provides better coverage rates for ...
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2 The Proposed Method
... watermarking method is introduced for gray-scale images based on wavelet tree quantization with an adaptive threshold in the ...the proposed watermarking method is represented through experimental ...
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Proposed Method for Detecting Objects
... presented proposed algorithm for object detection and matching based on its own signature using morphological segmentation ...the proposed algorithm is matched the objects neither among object's blobs nor ...
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Preasymptotic convergence of randomized Kaczmarz method
... These important and interesting existing results do not fully explain the excellent empirical perfor- mance of RKM for solving linear inverse problems, especially in the case of noisy data, where the term due to noise is ...
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Convergence of the iterative T-matrix method
... fast convergence of the iterative method. We implemented this method with an automated procedure for determining ...iterative method converges very fast if the matrix norm is smaller than ...
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On the Convergence for an Iterative Method for Quasivariational Inclusions
... iterative method for finding a common element of the set of fixed points of a strict pseudocontraction and of the set of solutions to the problem ...Strong convergence theorems are established in the ...
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A Proposed Hybrid Method For Islanding Detection
... measurement method [9], slip-mode frequency shift algorithm (SMS) [16], active frequency drift (AFD) [17], active frequency drift with positive feedback (AFDPF) [17], automatic phase- shift (APS) [18] and adaptive ...
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