Results 31 to 40 of about 31,755,712 (367)

Some Aspects of Extended General Variational Inequalities

Abstract and Applied Analysis, 2012
Noor (“Extended general variational inequalities,” 2009, “Auxiliary principle technique for extended general variational inequalities,” 2008, “Sensitivity analysis of extended general variational inequalities,” 2009, “Projection iterative methods for ...
Muhammad Aslam Noor
doaj   +1 more source

Crystalline variational methods [PDF]

Proceedings of the National Academy of Sciences, 2002
A surface free energy function is defined to be crystalline if its Wulff shape (the equilibrium crystal shape) is a polyhedron. All the questions that one considers for the area functional, where the surface free energy per unit area is 1 for all normal directions, can be considered for crystalline surface free energies.
openaire   +2 more sources

Seismic Tomography Using Variational Inference Methods [PDF]

Journal of Geophysical Research: Solid Earth, 2019
Seismic tomography is a methodology to image the interior of solid or fluid media and is often used to map properties in the subsurface of the Earth.
Xin Zhang, A. Curtis
semanticscholar   +1 more source

Extended Extragradient Methods for Generalized Variational Inequalities

Journal of Applied Mathematics, 2012
We suggest a modified extragradient method for solving the generalized variational inequalities in a Banach space. We prove some strong convergence results under some mild conditions on parameters. Some special cases are also discussed.
Yonghong Yao, Yeong-Cheng Liou, Cun-Lin Li, Hui-To Lin   +3 more
doaj   +1 more source

Variational Methods for Biomolecular Modeling

, 2016
Structure, function and dynamics of many biomolecular systems can be characterized by the energetic variational principle and the corresponding systems of partial differential equations (PDEs).
A Ivankin, A Jaramillo, A Warshel, AB Camley, B Lee, B Li, B Li, B Li, B Lu, B Lu, B Wang, BJ Reynwar, BR Brooks, C Mim, D Marsh, D Spoel Van Der, DG Thomas, DL Parton, E Gallicchio, E Gallicchio, EA Evans, F Campelo, FH Stillinger, FM Richards, FS Cohen, G Archontis, G-W Wei, G-W Wei, G-W Wei, GP Leser, GW Wei, HT McMahon, HY Lin, I Massova, I Park, IR Cooke, J Dzubiella, J Faraudo, J Gumbart, J Strain, J Wagoner, J Zimmerberg, JA Grant, JA Grant, JA Grant, JA Wagoner, JC Phillips, JC Stachowiak, JD Madura, JE Rothman, JMJ Swanson, K Farsad, K Lum, K Simons, KA Sharp, KM Callenberg, KS Kim, L-T Gao, LJ Pike, M Daily, M Feig, MD Huang, ME Davis, N Choudhury, N Gavish, NA Baker, NW Schmidt, O Sten-Knudsen, P Concus, P Grochowski, PB Canham, PW Bates, PW Bates, Q Du, Q Du, Q Du, Q Zheng, Q Zheng, R Brewster, R Brewster, R Parthasarathy, RA Pierotti, RE Skyner, RJ Ryham, S Choe, S Dai, S Li, S Osher, S Xu, S Zhao, S Zhao, SC Brenner, T Baumgart, T Kirchhausen, T Simonson, T Sollner, T Takahashi, T Witkowski, T-L Horng, V Luzhkov, VB Chu, W Geng, X Chen, X Chen, Y Tang, Y Wang, Y Wang, Y Wang, Y Zhao, YC Zhou, YC Zhou, Z Chen, Z Chen, Z Chen, ZY Yu   +114 more
core   +1 more source

Variational Methods in Loop Quantum Cosmology

, 2006
An action functional for the loop quantum cosmology difference equation is presented. It is shown that by guessing the general form of the solution and optimizing the action functional with respect to the parameters in the guessed solution one can obtain
A Shojai, Ashtekar A., Bojowald M., Bojowald M., Bojowald M., F Shojai   +5 more
core   +1 more source

Variational methods for conditional multimodal deep learning

IEEE International Joint Conference on Neural Network, 2016
In this paper, we address the problem of conditional modality learning, whereby one is interested in generating one modality given the other. While it is straightforward to learn a joint distribution over multiple modalities using a deep multi-modal ...
Gaurav Pandey, Ambedkar Dukkipati
semanticscholar   +1 more source

Variational Approach in Wavelet Framework to Polynomial Approximations of Nonlinear Accelerator Problems [PDF]

, 1998
In this paper we present applications of methods from wavelet analysis to polynomial approximations for a number of accelerator physics problems. According to variational approach in the general case we have the solution as a multiresolution (multiscales)
Fedorova, Antonina N., Parsa, Zohreh, Zeitlin, Michael G.   +2 more
core   +4 more sources

A note on variational methods [PDF]

Proceedings of the American Mathematical Society, 1964
In this note a new development of the variational method due to G. M. Golusin will be given. The Golusin variational method, found in Geometrische Funktionentheorie [1, pp. 96-105], is established there only after rather lengthy and tedious considerations. Below, the interior variational formula of M. M.
openaire   +1 more source

Regularization and Iterative Methods for Monotone Variational Inequalities

Fixed Point Theory and Applications, 2010
We provide a general regularization method for monotone variational inequalities, where the regularizer is a Lipschitz continuous and strongly monotone operator. We also introduce an iterative method as discretization of the regularization method.
Xu Hong-Kun, Xu Xiubin
doaj   +2 more sources