نتایج جستجو برای: spectral projected gradient method

تعداد نتایج: 1874123  

Journal: :J. Sci. Comput. 2005
James W. Lottes Paul F. Fischer

We study the performance of the multigrid method applied to spectral element (SE) discretizations of the Poisson and Helmholtz equations. Smoothers based on finite element (FE) discretizations, overlapping Schwarz methods, and point-Jacobi are considered in conjunction with conjugate gradient and GMRES acceleration techniques. It is found that Schwarz methods based on restrictions of the origin...

2009
Jérémy Lecoeur Jean-Christophe Ferré Christian Barillot

We present an optimized supervised segmentation method from multispectral MRIs. As MR images do not behave as natural images, using a spectral gradient based on a psycho-visual paradigm is sub-optimal. Therefore, we propose to create an optimized spectral gradient using multi-modalities MRIs. To that purpose, the algorithm learns the optimized parameters of the spectral gradient based on ground...

Journal: :CoRR 2018
Damek Davis Dmitriy Drusvyatskiy

We prove that the projected stochastic subgradient method, applied to a weakly convex problem, drives the gradient of the Moreau envelope to zero at the rateO(k−1/4).

Journal: :Neural computation 2007
Chih-Jen Lin

Nonnegative matrix factorization (NMF) can be formulated as a minimization problem with bound constraints. Although bound-constrained optimization has been studied extensively in both theory and practice, so far no study has formally applied its techniques to NMF. In this letter, we propose two projected gradient methods for NMF, both of which exhibit strong optimization properties. We discuss ...

Journal: :Indonesian Journal of Electrical Engineering and Computer Science 2021

<span>This paper proposes a new spectral conjugate gradient (SCG) approach for solving unregulated nonlinear optimization problems. Our Using Wolfe's rapid line scan to adjust the standard descent (CD) algorithm. A parameter is mixture of and old search path. The path provided by modified method provides solution objective functions. updated fits traditional CD if check correct. stability...

2014
Swathi J. Narayanan Rajen B. Bhatt Ilango Paramasivam

Fuzzy Decision Tree induction is a powerful methodology to extract human interpretable classification rules. The induction of fuzzy decision tree is done using popular Fuzzy ID3 algorithm [1, 2]. The other parameters which influence the performance of fuzzy decision tree are cut standard parameter  and leaf selection threshold parameter th  . Generally these parameters are to be selected heur...

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