Results 11 to 20 of about 12,747,590 (283)

New Approximate Schemes for Generalized General Set-Valued Mixed Quasi Variational Inequalities [PDF]

, 2008
In this paper, we suggest and consider a class of new three-step approximation schemes for generalized general set-valued mixed quasi variational inequalities.
Shi, Chaofeng
core   +6 more sources

A Predictor-Corrector Methods for Mixed Inverse Variational Inequalities [PDF]

, 2009
In this paper, a class of mixed inverse variational inequalities is introduced and studied. We prove the existence of the solution of the auxiliary problem for mixed inverse variational inequalities, suggest a predictor-corrector method for solving the ...
Shi, Chaofeng
core   +6 more sources

Variational Bayesian multinomial probit regression with Gaussian process priors [PDF]

, 2006
It is well known in the statistics literature that augmenting binary and polychotomous response models with Gaussian latent variables enables exact Bayesian analysis via Gibbs sampling from the parameter posterior.
Rogers, S., Girolami, M.
core   +5 more sources

Variational Methods for Nonsmooth Mechanics [PDF]

, 2003
In this thesis we investigate nonsmooth classical and continuum mechanics and its discretizations by means of variational numerical and geometric methods.
Fetecau, Razvan Constantin
core   +1 more source

Combined effects for a class of fractional variational inequalities [PDF]

Opuscula Mathematica
In this paper, we study the existence of a nonnegative weak solution to the following nonlocal variational inequality: \[\int_{\mathbb{R}^N}(-\Delta)^{\frac{s}{2}} u (-\Delta)^{{\frac{s}{2}}}(v-u)dx+\int_{\mathbb{R}^N}(1+\lambda M(x))u(v-u)dx \geq \int_{\
Shengbing Deng, Wenshan Luo, César E. Torres Ledesma   +2 more
doaj   +1 more source

To what extent is your data assimilation scheme designed to find the posterior mean, the posterior mode or something else?

Tellus: Series A, Dynamic Meteorology and Oceanography, 2016
Recently there has been a surge in interest in coupling ensemble-based data assimilation methods with variational methods (commonly referred to as 4DVar).
Daniel Hodyss, Craig H. Bishop, Matthias Morzfeld   +2 more
doaj   +1 more source

Variational Methods for Atoms and the Virial Theorem

Atoms, 2022
In the case of the one-electron Dirac equation with a point nucleus, the virial theorem (VT) states that the ratio of the kinetic energy to potential energy is exactly −1, a ratio that can be an independent test of the accuracy of a computed solution ...
Charlotte Froese Fischer, Michel Godefroid   +1 more
doaj   +1 more source

Variational Integrators [PDF]

, 2004
Variational integrators are a class of discretizations for mechanical systems which are derived by discretizing Hamilton's principle of stationary action.
West, Matthew
core   +1 more source

Modeling Variational Inpainting Methods With Splines

Frontiers in Applied Mathematics and Statistics, 2019
Mathematical methods of image inpainting often involve the discretization of a given continuous model. Typically, this is done by a pointwise discretization.
Florian Boßmann, Tomas Sauer, Nada Sissouno   +2 more
doaj   +1 more source

Off-The-Grid Variational Sparse Spike Recovery: Methods and Algorithms

Journal of Imaging, 2021
Gridless sparse spike reconstruction is a rather new research field with significant results for the super-resolution problem, where we want to retrieve fine-scale details from a noisy and filtered acquisition.
Bastien Laville, Laure Blanc-Féraud, Gilles Aubert   +2 more
doaj   +1 more source