Results 11 to 20 of about 6,631,978 (236)

On Gap Functions for Quasi-Variational Inequalities [PDF]

open access: yesAbstract and Applied Analysis, 2008
For variational inequalities, various merit functions, such as the gap function, the regularized gap function, the D-gap function and so on, have been proposed.
Kouichi Taji
doaj   +2 more sources

Error bounds for generalized mixed weak vector quasiequilibrium problems via regularized gap functions

open access: yesTạp chí Khoa học, 2019
This paper introduces regularized gap functions for a class of generalized mixed weak vector quasiequilibrium problems. Then, error boundsfor the concerning problems via regularized gap functions are established. Someexamples are provided to illustrate the results.
Vo Minh Tam   +2 more
openaire   +3 more sources

Computational framework for the regularized 20-moment equations for non-equilibrium gas flows [PDF]

open access: yes, 2008
This paper presents a framework for solving the regularized 20-moment equations consisting of a set of transport-like governing equations, the required constitutive closure, re-casting of the equations in second-order partial derivative form and ...
Emerson, David   +4 more
core   +5 more sources

Regularized and robust regression methods for high dimensional data [PDF]

open access: yes, 2014
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University London.Recently, variable selection in high-dimensional data has attracted much research interest.
Hashem, Hussein Abdulahman
core   +7 more sources

Error bounds for mixed set-valued vector inverse quasi-variational inequalities

open access: yesJournal of Inequalities and Applications, 2020
The purpose of this paper is to introduce and study the mixed set-valued vector inverse quasi-variational inequality problems (MSVIQVIPs) and to obtain error bounds for this kind of MSVIQVIP in terms of the residual gap function, the regularized gap ...
Shih-sen Chang   +4 more
doaj   +1 more source

Similarity-assisted variational autoencoder for nonlinear dimension reduction with application to single-cell RNA sequencing data

open access: yesBMC Bioinformatics, 2023
Background Deep generative models naturally become nonlinear dimension reduction tools to visualize large-scale datasets such as single-cell RNA sequencing datasets for revealing latent grouping patterns or identifying outliers.
Gwangwoo Kim, Hyonho Chun
doaj   +1 more source

Finite Element Quadrature of Regularized Discontinuous and Singular Level Set Functions in 3D Problems [PDF]

open access: yes, 2012
Regularized Heaviside and Dirac delta function are used in several fields of computational physics and mechanics. Hence the issue of the quadrature of integrals of discontinuous and singular functions arises.
PONARA, Nicola   +9 more
core   +1 more source

Gap functions and error bounds for vector inverse mixed quasi-variational inequality problems

open access: yesFixed Point Theory and Applications, 2019
This paper is devoted to investigating a vector inverse mixed quasi-variational inequality (VIMQVI). Our aim is to obtain error bounds for VIMQVI in terms of different gap functions, i.e., the residual gap function, the regularized gap function, and the ...
Zhong-bao Wang, Zhang-you Chen, Zhe Chen
doaj   +1 more source

Gap functions and error bounds for random generalized variational inequality problems

open access: yesJournal of Inequalities and Applications, 2016
This paper is devoted to the study of gap functions of random generalized variational inequality problems in a fuzzy environment. Further by using the residual vector we compute error bounds for random generalized variational inequality problems and we ...
Suhel Ahmad Khan   +2 more
doaj   +1 more source

Convergence Analysis of the Approximation Problems for Solving Stochastic Vector Variational Inequality Problems

open access: yesComplexity, 2020
In this paper, we consider stochastic vector variational inequality problems (SVVIPs). Because of the existence of stochastic variable, the SVVIP may have no solutions generally.
Meiju Luo, Kun Zhang
doaj   +1 more source

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