Results 31 to 40 of about 36,338,648 (351)
Variational Time Integrators in Computational Solid Mechanics [PDF]
, 2003 This thesis develops the theory and implementation of variational integrators for computational solid mechanics problems, and to some extent, for fluid mechanics problems as well.
Lew, Adrián José
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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 +2 more
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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
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Deinterlacing Using Variational Methods [PDF]
IEEE Transactions on Image Processing, 2008 We present a variational framework for deinterlacing that was originally used for inpainting and subsequently redeveloped for deinterlacing. From the framework, we derive a motion adaptive (MA) deinterlacer and a motion compensated (MC) deinterlacer and test them together with a selection of known deinterlacers.
Sune Høgild Keller +2 more
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Nonconforming finite-element discretization of convex variational problems [PDF]
, 2011 The Lavrentiev gap phenomenon is a well-known effect in the calculus of variations, related to singularities of minimizers. In its presence, conforming finite-element methods are incapable of reaching the energy minimum.
Ortner, Christoph
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Sensitivity analysis and parameter estimation for distributed hydrological modeling: potential of variational methods [PDF]
, 2009 Variational methods are widely used for the analysis and control of computationally intensive spatially distributed systems. In particular, the adjoint state method enables a very efficient calculation of the derivatives of an objective function ...
Dartus, Denis +8 more
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Auto-Encoding Variational Bayes [PDF]
, 2022 openIn this thesis, we focused on recent developments in variational inference. We saw how these methods can be married with ideas from deep learning to give life to the example of variational autoencoders (VAEs), models that learn how to generate new ...
BRUNO, MATTIA
core
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
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Fractional variational problems depending on indefinite integrals [PDF]
, 2012 We obtain necessary optimality conditions for variational problems with a Lagrangian depending on a Caputo fractional derivative, a fractional and an indefinite integral.
Pooseh, Shakoor +8 more
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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.
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