Variational Methods
Higher Order Variational Methods for Photoacoustic Tomography
... order variational methods for pho- toacoustic ...the variational methods using Total Variation and Total Generalized Variation with Bregman iteration are ...these methods a careful ...
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Sensitivity analysis and parameter estimation for distributed hydrological modeling: potential of variational methods
... rule (e.g. product of local Jacobians) in the forward or re- verse direction. In order to use this discrete equivalent of forward and adjoint sensitivity analysis methods, the source code of the model should be ...
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Multiplicity of solutions for impulsive differential equation on the half-line via variational methods
... used variational methods to investigate the existence and multiplicity of solutions for impulsive BVPs on the finite intervals ...via variational methods has received considerably less ...
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Variational methods in surface parameterization
... new variational approaches to optimal parameterization must be derived to extend the properties of our planar parameterizations to the arbitrary topology ...multigrid methods on unstructured triangle grids ...
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Variational Methods for NLEV Approximation Near a Bifurcation Point
... Well-known simple examples just think of linear operators show that without further assumptions, there may be no eigenvalues at all for A, B. On the other hand, we know that a real symmetric n × n matrix has at least one ...
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Geometric and Topological Variational Methods for Imaging and Computer Vision
... years, variational methods and partial differential equations (PDE) based methods [57, 61,1,65,2,74] have been introduced to explicitly account for intrinsic geometry to address a variety of problems ...
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Variational Methods for Control and Design of Bipedal Robot Models
... We now extend the concepts and variational principles in Section 2.1 to a nons- mooth setting. As discussed in [20], there are primarily two qualitatively different approaches for describing nonsmooth mechanics ...
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Variational methods for nonsmooth mechanics
... Our methods answer an important question posed by Stewart [2000], how can geometric integrators be formulated and implemented for collision problems? In fact, the algorithms developed in this work show how a ...
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On a p(x)-Kirchho equation via variational methods
... [20] J. R. Graef, S. Heidarkhani, L. Kong , A variational approach to a Kirchhoff- type problem involving a parameter, Results in Mathematics, 63 (2013), 877-889. [21] S. Heidarkhani, J. Henderson , Infinitely ...
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Variational methods for fractional q-Sturm-Liouville problems
... He introduced a q-analog of the Euler-Lagrange equation which he applied to solve certain isoperimetric problem. Then, in , Bangerezako [] introduced certain q-variational problems on a nonuniform lattice. ...
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Improving Variational Methods via Pairwise Linear Response Identities
... the variational approximation we present have previously been applied to lattice models commonly studied in statistical physics, and sparse prior models in Bayesian image modeling (see Raymond and Ricci-Tersenghi, ...
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Efficient Large-Scale Stereo Reconstruction using Variational Methods
... In this work we propose an algorithm for robustly fusing digital surface models (DSM) with different ground sampling distances and confidences, using explicit sur- face priors to obtain locally smooth surface models. ...
133
Multiple positive solutions of singular-Laplacian problems by variational methods
... 0 < β ≤ 1 by Shi and Yao [15] and Wiegner [18]. In the superlinear case 1 < β < 2 ∗ − 1 and for small λ, Coclite and Palmieri [4] obtained a solution when a = 1 and Sun et al. [16] obtained two solutions using ...
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Variational methods for geometric statistical inference
... The problem of estimating multiple trajectories from unlabeled data comprises two coupled problems. The first is a data association problem: how to map data points onto individual trajectories. The second is, given a ...
150
Improved variational methods in statistical data assimilation
... the variational method to include all parameters as state variables with a zero vector field, allowing the estimation of the parameters along with the unmeasured state ...
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Resolvent Iterative Methods for Solving System of Extended General Variational Inclusions
... general variational inclusions and the fixed point ...iterative methods for solving this system of extended general variational ...iterative methods under weaker ...general variational ...
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Iterative methods for solving a class of monotone variational inequality problems with applications
... 19. Yamada, I: The hybrid steepest descent method for the variational inequality problem over the intersection of fixed point sets of nonexpansive mappings. In: Butnariu, D, Censor, Y, Reich, S (eds.) Inherently ...
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Medical image segmentation using GPU-accelerated variational level set methods
... Segmentation methods that rely on edge detection usually involve an additional step to find separate edges that should be connected and piece them together to form a complete ...
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Forward backward resolvent splitting methods for general mixed variational inequalities
... g(u) ∈ K, T u ∈ K ∗ , T u, g(u) = 0, (2.6) which is known as the general complementarity problem, which was intro- duced and studied by Noor [7]. We note that if g(u) = u − m(u), where m is a point-to-point mapping, then ...
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Finite Step Relaxed Hybrid Steepest Descent Methods for Variational Inequalities
... the variational inequality problem over the intersection of fixed point sets of nonexpansive mappings,” in Inherently Parallel Algorithms in Feasibility and Optimization and Their Applications, ...
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