Search results for "Discretization"

showing 10 items of 237 documents

A non-hydrostatic pressure distribution solver for the nonlinear shallow water equations over irregular topography

2016

Abstract We extend a recently proposed 2D depth-integrated Finite Volume solver for the nonlinear shallow water equations with non-hydrostatic pressure distribution. The proposed model is aimed at simulating both nonlinear and dispersive shallow water processes. We split the total pressure into its hydrostatic and dynamic components and solve a hydrostatic problem and a non-hydrostatic problem sequentially, in the framework of a fractional time step procedure. The dispersive properties are achieved by incorporating the non-hydrostatic pressure component in the governing equations. The governing equations are the depth-integrated continuity equation and the depth-integrated momentum equation…

Mathematical optimizationFinite volume method010504 meteorology & atmospheric sciencesDiscretization0208 environmental biotechnology02 engineering and technologyMechanicsSolver01 natural sciencesSettore ICAR/01 - Idraulica020801 environmental engineeringUnstructured gridlaw.inventionNonlinear systemContinuity equationlawDynamic pressure Shallow waters Dispersive process Finite volume Wetting and drying Unstructured gridHydrostatic equilibriumShallow water equationsPhysics::Atmospheric and Oceanic Physics0105 earth and related environmental sciencesWater Science and TechnologyMathematicsAdvances in Water Resources
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Monotonic solution of flow and transport problems in heterogeneous media using Delaunay unstructured triangular meshes

2013

Transport problems occurring in porous media and including convection, diffusion and chemical reactions, can be well represented by systems of Partial Differential Equations. In this paper, a numerical procedure is proposed for the fast and robust solution of flow and transport problems in 2D heterogeneous saturated media. The governing equations are spatially discretized with unstructured triangular meshes that must satisfy the Delaunay condition. The solution of the flow problem is split from the solution of the transport problem and it is obtained with an approach similar to the Mixed Hybrid Finite Elements method, that always guarantees the M-property of the resulting linear system. The…

Mathematical optimizationFinite volume methodDiscretizationTransport problem porous media anisotropic diffusion tensor heterogeneous medium M-matrix Delaunay mesh edge swap numerical methods finite elementsDelaunay triangulationAnisotropic diffusionLinear systemMonotonic functionFinite element methodSettore ICAR/01 - IdraulicaApplied mathematicsPolygon meshWater Science and TechnologyMathematics
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The design of absorbing Bayesian pursuit algorithms and the formal analyses of their ε-optimality

2016

The fundamental phenomenon that has been used to enhance the convergence speed of learning automata (LA) is that of incorporating the running maximum likelihood (ML) estimates of the action reward probabilities into the probability updating rules for selecting the actions. The frontiers of this field have been recently expanded by replacing the ML estimates with their corresponding Bayesian counterparts that incorporate the properties of the conjugate priors. These constitute the Bayesian pursuit algorithm (BPA), and the discretized Bayesian pursuit algorithm. Although these algorithms have been designed and efficiently implemented, and are, arguably, the fastest and most accurate LA report…

Mathematical optimizationLearning automataDiscretizationbusiness.industryBayesian probability02 engineering and technologyMathematical proof01 natural sciencesConjugate priorField (computer science)010104 statistics & probabilityArtificial IntelligenceConvergence (routing)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligence0101 mathematicsbusinessBeta distributionMathematics
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Numerical Approximation of Elliptic Variational Problems

2003

This chapter is dedicated to the study of Elliptic Variational Inequalities (EVI). Different forms of such an EVI are considered. The Ritz—Galerkin discretization method is introduced, and methods to approximate the solution of an EVI are presented. The finite dimensional subspaces are built by use of the Finite Element Method. The discretized problems are solved using variants of the Successive OverRelaxation (SOR) method. The algorithms are tested on a typical example. The way to develop computer programs is carefully analysed.

Mathematical optimizationMathematics::ProbabilityNumerical approximationDiscretizationVariational inequalityPendulum (mathematics)Interpolation operatorApplied mathematicsSeepage flowLinear subspaceFinite element methodMathematics
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Fixed domain approaches in shape optimization problems

2012

This work is a review of results in the approximation of optimal design problems, defined in variable/unknown domains, based on associated optimization problems defined in a fixed ?hold-all? domain, including the family of all admissible open sets. The literature in this respect is very rich and we concentrate on three main approaches: penalization?regularization, finite element discretization on a fixed grid, controllability and control properties of elliptic systems. Comparison with other fixed domain approaches or, in general, with other methods in shape optimization is performed as well and several numerical examples are included.

Mathematical optimizationOptimization problemDiscretizationApplied MathematicsOpen setGridRegularization (mathematics)Finite element methodComputer Science ApplicationsTheoretical Computer ScienceControllabilitySignal ProcessingShape optimizationMathematical PhysicsMathematicsInverse Problems
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Numerical solution of a multi-class model for batch settling in water resource recovery facilities

2017

In Torfs et al. (2017) a new unified framework to model settling tanks in water resource recovery facilities was proposed providing a set of partial differential equations (PDEs) modelling different settling unit processes in wastewater treatment such as primary and secondary settling tanks (PSTs and SSTs). The extension to a multi-class framework to deal with the distributed properties of the settling particles leads to a system of non-linear hyperbolic-parabolic PDEs whose solutions may contain very sharp transitions. This necessitates the use of a consistent and robust numerical method to obtain well-resolved and reliable approximations to the PDE solutions. The use of implicit–explicit …

Mathematical optimizationPartial differential equationDiscretizationApplied MathematicsReliability (computer networking)Numerical analysisRelaxation (iterative method)010103 numerical & computational mathematics01 natural sciences6. Clean water010101 applied mathematicsSet (abstract data type)SettlingModeling and Simulation0101 mathematicsConvection–diffusion equationMathematicsApplied Mathematical Modelling
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Boundary Element Crystal Plasticity Method

2017

A three-dimensional (3D) boundary element method for small strains crystal plasticity is described. The method, developed for polycrystalline aggregates, makes use of a set of boundary integral equations for modeling the individual grains, which are represented as anisotropic elasto-plastic domains. Crystal plasticity is modeled using an initial strains boundary integral approach. The integration of strongly singular volume integrals in the anisotropic elasto-plastic grain-boundary equations are discussed. Voronoi-tessellation micro-morphologies are discretized using nonstructured boundary and volume meshes. A grain-boundary incremental/iterative algorithm, with rate-dependent flow and har…

Mathematical optimizationPolycrystalline materials crystal plasticity micromechanics boundary elementMaterials scienceDiscretizationIterative methodCrystal plasticityPolycrystalline materials02 engineering and technology01 natural sciencesNOVolume integralmicromechanicsboundary elementPolycrystalline material0203 mechanical engineering0101 mathematicsMicromechanicBoundary element methodBoundary element method.Mathematical analysisMicromechanicsSingular boundary methodBoundary knot methodComputer Science Applications010101 applied mathematics020303 mechanical engineering & transportsModeling and SimulationAnalytic element methodJournal of Multiscale Modelling
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Robust and Efficient IMEX Schemes for Option Pricing under Jump-Diffusion Models

2013

We propose families of IMEX time discretization schemes for the partial integro-differential equation derived for the pricing of options under a jump diffusion process. The schemes include the families of IMEX-midpoint, IMEXCNAB and IMEX-BDF2 schemes. Each family is defined by a convex parameter c ∈ [0, 1], which divides the zeroth-order term due to the jumps between the implicit and explicit part in the time discretization. These IMEX schemes lead to tridiagonal systems, which can be solved extremely efficiently. The schemes are studied through Fourier stability analysis and numerical experiments. It is found that, under suitable assumptions and time step restrictions, the IMEX-midpoint fa…

Mathematical optimizationTridiagonal matrixDiscretizationJump diffusionRegular polygonComputer Science::Numerical AnalysisStability (probability)Mathematics::Numerical Analysissymbols.namesakeFourier transformValuation of optionssymbolsMathematicsLinear multistep methodSSRN Electronic Journal
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An IMEX-Scheme for Pricing Options under Stochastic Volatility Models with Jumps

2014

Partial integro-differential equation (PIDE) formulations are often preferable for pricing options under models with stochastic volatility and jumps, especially for American-style option contracts. We consider the pricing of options under such models, namely the Bates model and the so-called stochastic volatility with contemporaneous jumps (SVCJ) model. The nonlocality of the jump terms in these models leads to matrices with full matrix blocks. Standard discretization methods are not viable directly since they would require the inversion of such a matrix. Instead, we adopt a two-step implicit-explicit (IMEX) time discretization scheme, the IMEX-CNAB scheme, where the jump term is treated ex…

Mathematical optimizationimplicit-explicit time discretizationDiscretizationStochastic volatilityApplied Mathematicsta111Linear systemLU decompositionMathematics::Numerical Analysislaw.inventionComputational MathematicsMatrix (mathematics)stochastic volatility modelMultigrid methodlawValuation of optionsjump-diffusion modelJumpoption pricingfinite difference methodMathematicsSIAM Journal on Scientific Computing
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Nonlinear hyperbolic equations in surface theory: integrable discretizations and approximation results

2006

A numerical scheme is developed for solution of the Goursat problem for a class of nonlinear hyperbolic systems with an arbitrary number of independent variables. Convergence results are proved for this difference scheme. These results are applied to hyperbolic systems of differential-geometric origin, like the sine-Gordon equation describing the surfaces of the constant negative Gaussian curvature (K-surfaces). In particular, we prove the convergence of discrete K--surfaces and their Backlund transformations to their continuous counterparts. This puts on a firm basis the generally accepted belief (which however remained unproved untill this work) that the classical differential geometry of…

Mathematics - Differential GeometrySurface (mathematics)Algebra and Number TheoryNonlinear Sciences - Exactly Solvable and Integrable SystemsIntegrable systemDiscretizationApplied MathematicsMathematical analysisHyperbolic manifoldFOS: Physical sciencesNumerical Analysis (math.NA)Nonlinear systemsymbols.namesakeDifferential geometryDifferential Geometry (math.DG)Gaussian curvaturesymbolsFOS: MathematicsMathematics - Numerical AnalysisExactly Solvable and Integrable Systems (nlin.SI)Hyperbolic partial differential equationAnalysisMathematics
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