Results 21 to 30 of about 12,747,590 (283)
Variational Methods for Evolution [PDF]
, 2011 The meeting focused on the last advances in the applications of variational methods to evolution problems governed by partial differential equations. The talks covered a broad range of topics, including large deviation and variational principles, rate ...
Rossi, Riccarda +2 more
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A New Variational Inequality with its Application [PDF]
, 2009 In this paper, we suggest the iterative algorithm for a variational inequality by using the auxiliary principle technique, which is closely related to the optimal boundary control of time-varying population system with age-dependence and spatial ...
Shi, Chao-Feng
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Variational Methods in Surface Parameterization [PDF]
, 2005 A surface parameterization is a function that maps coordinates in a 2-dimensional parameter space to points on a surface. This thesis investigates two kinds of parameterizations for surfaces that are disc-like in shape.
Litke, Nathan Jacob
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New Perturbed Proximal Point Algorithms for Set-valued Quasi Variational Inclusions [PDF]
, 2004 In this paper, by using some new and innovative techniques, some perturbed iterative algorithms for solving generalized set-valued variational inclusions are suggested and analyzed.
Li, Rong, Shi, Chaofeng
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Variational inequations and approximation [PDF]
, 1974 The existence and uniqueness of the solution of a variational inequality is considered, and methods of approximation of the solution are given.
Noor, MA
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On a variation of Sands′ method [PDF]
International Journal of Mathematics and Mathematical Sciences, 1986 A subset of a finite additive abelian group G is a Z‐set if for all a ∈ G, na ∈ G for all n ∈ Z. The group G is called “Z‐good” if in every factorization G = A ⊕ B, where A and B are Z‐sets at least one factor is periodic. Otherwise G is called “Z‐bad.”The purpose of this paper is to investigate factorizations of finite ablian groups which arise from a
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An Auxiliary Variational Method [PDF]
, 2004 An attractive feature of variational methods used in the context of approximate inference in undirected graphical models is a rigorous lower bound on the normalization constants. Here we explore the idea of using augmented variable spaces to improve on the standard mean-field bounds.
Felix V. Agakov, David Barber
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Variational Methods in Convex Analysis [PDF]
Journal of Global Optimization, 2006 The authors use variational arguments, namely minimization arguments and decoupling mechanisms, to derive some fundamental theorems in convex analysis. Many important result in linear functional analysis can then be deduced as special cases.
Jonathan M. Borwein, Qiji J. Zhu
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Nonconforming finite-element discretization of convex variational problems [PDF]
, 2010 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, C. Ortner
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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
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