Search results for "Mean curvature"

showing 10 items of 40 documents

Hypersurfaces of prescribed mean curvature over obstacles

1973

Let ~2 be a bounded domain in the euclidean space IR", n-> 2, with Lipschitz boundary ~ . We shall consider surfaces which are graphs of functions u defined on f2 having prescribed mean curvature H=H(x, u) with the side condition that they should be bounded from below by an obstacle ~b. The case H = 0 (minimal surfaces) has been discussed in detail by several authors, compare [6, 7, 12, 13, 17, 18, 20, 21, 24] of the references. Tomi [-31] has also investigated parametric surfaces with variable H. More general variational problems with obstructions have been discussed in [-9] and [-10]. During the session on "Variationsrechnung", held from June 18th to June 24th, 1972 in Oberwolfach, Mirand…

Pure mathematicsMean curvature flowMinimal surfaceMean curvatureEuclidean spaceGeneral MathematicsBounded functionBoundary (topology)Lipschitz continuityDomain (mathematical analysis)MathematicsMathematische Zeitschrift
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Some remarks on the extinction time for the mean curvature flow

2005

We write some consideratons on the extinction time for the mean curvature flow

Settore MAT/05 - Analisi MatematicaMean curvature flowrearrangementextinction time
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Numerical simulation of creeping fluid flow in reconstruction models of porous media

2002

Abstract In this paper we examine representative examples of realistic three-dimensional models for porous media by comparing their geometry and permeability with those of the original experimental specimen. The comparison is based on numerically exact evaluations of permeability, porosity, specific internal surface, mean curvature, Euler number and local percolation probabilities. The experimental specimen is a three-dimensional computer tomographic image of Fontainebleau sandstone. The three models are stochastic reconstructions for which many of the geometrical characteristics coincide with those of the experimental specimen. We find that in spite of the similarity in the geometrical pro…

Statistics and ProbabilityMean curvatureComputer simulationGeometryMechanicsPhysics::Classical PhysicsCondensed Matter PhysicsPhysics::GeophysicsPermeability (earth sciences)Fluid dynamicsComputer tomographicPorous mediumPorosityMathematicsPhysica A: Statistical Mechanics and its Applications
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Approximation von extremalflächenstücken (hyperbolischen typs) durch charakteristische räumliche vierecke

1982

We consider solutions z of the Cauchy-problem for hyperbolic Euler-Lagrange equations derived from a general Lagrangian f(x, y, z; zx, zy) in two independent variables x, y. z is supposed to be an extremal of the corresponding variational problem. Visualizing z as a surface in R3 we give a geometric interpretation of Lewy's well-known characteristic approximation scheme for the numerical solution of second order hyperbolic equations by approximating z via a polyhedral construction built up from subunits which consist of two characteristic triangles having one side in common but lying on different planes in R3. Utilizing ideas from Cartan-geometry one can (in an appropriate sense) introduce …

Surface (mathematics)Mean curvatureMinimal surfaceGeneral MathematicsScheme (mathematics)Mathematical analysisGeneral EngineeringOrder (group theory)CurvatureHyperbolic partial differential equationInterpretation (model theory)MathematicsMathematical Methods in the Applied Sciences
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On GPU-accelerated fast direct solvers and their applications in image denoising

2015

block cyclic reductionnäytönohjaimetOpenCLnumeeriset menetelmätprosessoritimage denoisingparallel computingmean curvatureGPU computingkuvankäsittelyimage processingfast Poisson solverseparable block tridiagonal linear systemPSCR methodoptimointialgoritmitohjelmointiaugmented Lagrangian methodkohinafast direct solverrinnakkaislaskentaalternating direction methods of multipliers
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A Curvature Based Method for Blind Mesh Visual Quality Assessment Using a General Regression Neural Network

2016

International audience; No-reference quality assessment is a challenging issue due to the non-existence of any information related to the reference and the unknown distortion type. The main goal is to design a computational method to objectively predict the human perceived quality of a distorted mesh and deal with the practical situation when the reference is not available. In this work, we design a no reference method that relies on the general regression neural network (GRNN). Our network is trained using the mean curvature which is an important perceptual feature representing the visual aspect of a 3D mesh. Relatively to the human subjective scores, the trained network successfully asses…

feature learning[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingComputer sciencemedia_common.quotation_subjectFeature extractiondistorted meshGRNNmean curvature02 engineering and technologyMachine learningcomputer.software_genreCurvaturevisual aspect representation[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingDistortioncomputational method0202 electrical engineering electronic engineering information engineeringFeature (machine learning)computational geometrymean opinion scoresQuality (business)Polygon meshmedia_commonArtificial neural networkbusiness.industrycompetitive scores Author Keywords Blind mesh visual quality assessmentperceptual feature020207 software engineeringregression analysis INSPEC: Non-Controlled Indexing curvature based methodblind mesh visual quality assessmentno-reference quality assessmentvisual qualityVisualizationgeneral regression neural network traininggeneral regression neural networkmesh generationneural netssubject scoreshuman perceived quality predictionhuman subjective scores020201 artificial intelligence & image processinglearning (artificial intelligence)Artificial intelligencepredicted objective scoresbusiness3D meshcomputer
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Stationary sets and asymptotic behavior of the mean curvature flow with forcing in the plane

2020

We consider the flat flow solutions of the mean curvature equation with a forcing term in the plane. We prove that for every constant forcing term the stationary sets are given by a finite union of disks with equal radii and disjoint closures. On the other hand for every bounded forcing term tangent disks are never stationary. Finally in the case of an asymptotically constant forcing term we show that the only possible long time limit sets are given by disjoint unions of disks with equal radii and possibly tangent. peerReviewed

osittaisdifferentiaaliyhtälötMathematics - Analysis of PDEsforced mean curvature flowFOS: Mathematicsstationary setscritical setsGeometry and TopologyAstrophysics::Earth and Planetary Astrophysicslarge time behaviorAnalysis of PDEs (math.AP)
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Stationary sets of the mean curvature flow with a forcing term

2020

We consider the flat flow approach for the mean curvature equation with forcing in an Euclidean space $\mathbb R^n$ of dimension at least 2. Our main results states that tangential balls in $\mathbb R^n$ under any flat flow with a bounded forcing term will experience fattening, which generalizes the result by Fusco, Julin and Morini from the planar case to higher dimensions. Then, as in the planar case, we are able to characterize stationary sets in $\mathbb R^n$ for a constant forcing term as finite unions of equisized balls with mutually positive distance.

osittaisdifferentiaaliyhtälötMean curvature flowForcing (recursion theory)Mean curvatureEuclidean spaceApplied Mathematics010102 general mathematicsMathematical analysisstationary setscritical setsvariaatiolaskenta01 natural sciences35J93Term (time)010101 applied mathematicsMathematics - Analysis of PDEsFlow (mathematics)forced mean curvature flowBounded functionFOS: Mathematics0101 mathematicsConstant (mathematics)AnalysisAnalysis of PDEs (math.AP)MathematicsAdvances in Calculus of Variations
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Volume preserving mean curvature flows near strictly stable sets in flat torus

2021

In this paper we establish a new stability result for the smooth volume preserving mean curvature flow in flat torus $\mathbb T^n$ in low dimensions $n=3,4$. The result says roughly that if the initial set is near to a strictly stable set in $\mathbb T^n$ in $H^3$-sense, then the corresponding flow has infinite lifetime and converges exponentially fast to a translate of the strictly stable (critical) set in $W^{2,5}$-sense.

osittaisdifferentiaaliyhtälötMean curvature53C44 (Primary) and 35K93 (Secondary)Applied Mathematics010102 general mathematicsMathematical analysisSense (electronics)Stability result01 natural sciences010101 applied mathematicsSet (abstract data type)differentiaaligeometriastrictly stable setsMathematics - Analysis of PDEsFlow (mathematics)Volume (thermodynamics)Independent setFOS: Mathematics0101 mathematicsFlat torusAnalysisMathematicsperiodic stabilityvolume preserving mean curvature flowAnalysis of PDEs (math.AP)
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A New Augmented Lagrangian Approach for $L^1$-mean Curvature Image Denoising

2015

Variational methods are commonly used to solve noise removal problems. In this paper, we present an augmented Lagrangian-based approach that uses a discrete form of the L1-norm of the mean curvature of the graph of the image as a regularizer, discretization being achieved via a finite element method. When a particular alternating direction method of multipliers is applied to the solution of the resulting saddle-point problem, this solution reduces to an iterative sequential solution of four subproblems. These subproblems are solved using Newton’s method, the conjugate gradient method, and a partial solution variant of the cyclic reduction method. The approach considered here differs from ex…

ta113Mean curvatureDiscretizationimage denoisingAugmented Lagrangian methodApplied MathematicsGeneral Mathematicsmean curvaturekuvankäsittelyTopologyFinite element methodimage processingsymbols.namesakeLagrangian relaxationLagrange multiplierConjugate gradient methodsymbolsApplied mathematicsaugmented Lagrangian methodalternating direction methods of multipliersvariational modelMathematicsCyclic reductionSIAM Journal on Imaging Sciences
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