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Did you mean successive over relaxation (216 results)?
Successive overrelaxation for laplacian support vector machine.
Qi Z, Tian Y, Shi Y. Qi Z, et al. IEEE Trans Neural Netw Learn Syst. 2015 Apr;26(4):674-683. doi: 10.1109/TNNLS.2014.2320738. IEEE Trans Neural Netw Learn Syst. 2015. PMID: 25961091
This means that the kernel trick can be applied directly into the optimization model; and 3) FLapSVM can be effectively solved by successive overrelaxation technology, which converges linearly to a solution and can process very large data sets that need not reside i …
This means that the kernel trick can be applied directly into the optimization model; and 3) FLapSVM can be effectively solved by success …
Successive overrelaxation for support vector machines.
Mangasarian OL, Musicant DR. Mangasarian OL, et al. IEEE Trans Neural Netw. 1999;10(5):1032-7. doi: 10.1109/72.788643. IEEE Trans Neural Netw. 1999. PMID: 18252605
Successive overrelaxation (SOR) for symmetric linear complementarity problems and quadratic programs is used to train a support vector machine (SVM) for discriminating between the elements of two massive datasets, each with millions of points. ...
Successive overrelaxation (SOR) for symmetric linear complementarity problems and quadratic programs is used to train a suppor …
A successive overrelaxation backpropagation algorithm for neural-network training.
De Leone R, Capparuccia R, Merelli E. De Leone R, et al. IEEE Trans Neural Netw. 1998;9(3):381-8. doi: 10.1109/72.668881. IEEE Trans Neural Netw. 1998. PMID: 18252463
A variation of the classical backpropagation algorithm for neural network training is proposed and convergence is established using the perturbation results of Mangasarian and Solodov. The algorithm is similar to the successive overrelaxation (SOR) algorithm for sys …
A variation of the classical backpropagation algorithm for neural network training is proposed and convergence is established using the pert …
Use of the preconditioned conjugate gradient algorithm as a generic solver for mixed-model equations in animal breeding applications.
Tsuruta S, Misztal I, Strandén I. Tsuruta S, et al. J Anim Sci. 2001 May;79(5):1166-72. doi: 10.2527/2001.7951166x. J Anim Sci. 2001. PMID: 11374535
The preconditioned conjugate gradient algorithm was easy to implement with the iteration on data for general models. However, successive overrelaxation requires specific programming for each set of models. On average, the preconditioned conjugate gradient algorithm …
The preconditioned conjugate gradient algorithm was easy to implement with the iteration on data for general models. However, successive …
Numerical investigation of treated brain glioma model using a two-stage successive over-relaxation method.
Hussain A, Muthuvalu MS, Faye I, Zafar M, Inc M, Afzal F, Iqbal MS. Hussain A, et al. Comput Biol Med. 2023 Feb;153:106429. doi: 10.1016/j.compbiomed.2022.106429. Epub 2022 Dec 30. Comput Biol Med. 2023. PMID: 36587570
Mathematically, reaction-diffusion models have been developed for brain glioma growth to quantify the diffusion and proliferation of the tumor cells within brain tissues. This study presents the formulation the two-stage successive over-relaxation (TSSOR) algorithm based o …
Mathematically, reaction-diffusion models have been developed for brain glioma growth to quantify the diffusion and proliferation of the tum …
Iterative reconstruction for x-ray computed tomography using prior-image induced nonlocal regularization.
Zhang H, Huang J, Ma J, Bian Z, Feng Q, Lu H, Liang Z, Chen W. Zhang H, et al. IEEE Trans Biomed Eng. 2014 Sep;61(9):2367-2378. doi: 10.1109/TBME.2013.2287244. Epub 2013 Oct 24. IEEE Trans Biomed Eng. 2014. PMID: 24235272 Free PMC article.
Specifically, the PINL regularization utilizes the redundant information in the prior image and the weighted least-squares term considers a data-dependent variance estimation, aiming to improve current low-dose image quality. Subsequently, a modified iterative successive …
Specifically, the PINL regularization utilizes the redundant information in the prior image and the weighted least-squares term considers a …
Review on solving the forward problem in EEG source analysis.
Hallez H, Vanrumste B, Grech R, Muscat J, De Clercq W, Vergult A, D'Asseler Y, Camilleri KP, Fabri SG, Van Huffel S, Lemahieu I. Hallez H, et al. J Neuroeng Rehabil. 2007 Nov 30;4:46. doi: 10.1186/1743-0003-4-46. J Neuroeng Rehabil. 2007. PMID: 18053144 Free PMC article. Review.
Iterative methods are required to solve these sparse linear systems. The following iterative methods are discussed: successive over-relaxation, conjugate gradients method and algebraic multigrid method. ...
Iterative methods are required to solve these sparse linear systems. The following iterative methods are discussed: successive over-r …
Communication-efficient algorithms for solving pressure Poisson equation for multiphase flows using parallel computers.
Ghosh S, Lu J, Gupta V, Tryggvason G. Ghosh S, et al. PLoS One. 2022 Nov 22;17(11):e0277940. doi: 10.1371/journal.pone.0277940. eCollection 2022. PLoS One. 2022. PMID: 36413552 Free PMC article.
Then, we build on the asynchronous algorithm to propose an event-triggered communication algorithm that communicates the boundary values to neighboring processors only at certain iterations, thereby reducing the number of messages while maintaining similar accuracy of solution. W …
Then, we build on the asynchronous algorithm to propose an event-triggered communication algorithm that communicates the boundary values to …
Influence of electric field, blood velocity, and pharmacokinetics on electrochemotherapy efficiency.
Vélez Salazar FM, Patiño Arcila ID. Vélez Salazar FM, et al. Biophys J. 2023 Aug 22;122(16):3268-3298. doi: 10.1016/j.bpj.2023.07.004. Epub 2023 Jul 7. Biophys J. 2023. PMID: 37421133
In the present work, the global method of approximate particular solutions for axisymmetric domains, together with two solution schemes (Gauss-Seidel iterative and linearization+successive over-relaxation), is applied for the simulation of drug transport in electroporated …
In the present work, the global method of approximate particular solutions for axisymmetric domains, together with two solution schemes (Gau …
Multi-View Learning With Incomplete Views.
Xu C, Tao D, Xu C. Xu C, et al. IEEE Trans Image Process. 2015 Dec;24(12):5812-25. doi: 10.1109/TIP.2015.2490539. Epub 2015 Oct 13. IEEE Trans Image Process. 2015. PMID: 26469202
To handle the large-scale problem and obtain fast convergence, we investigate a successive over-relaxation method to solve the objective function. Convergence of the optimization technique is theoretically analyzed. ...
To handle the large-scale problem and obtain fast convergence, we investigate a successive over-relaxation method to solve the object …
50 results