Search results for "Numerical Analysis"

showing 10 items of 883 documents

On the use of a meshless solver for PDEs governing electromagnetic transients

2009

In this paper some key elements of the Smoothed Particle Hydrodynamics methodology suitably reformulated for analyzing electromagnetic transients are investigated. The attention is focused on the interpolating smoothing kernel function which strongly influences the computational results. Some issues are provided by adopting the polynomial reproducing conditions. Validation tests involving Gaussian and cubic B-spline smoothing kernel functions in one and two dimensions are reported.

Mathematical optimizationPolynomialPartial differential equationApplied MathematicsB-splineNumerical analysisGaussianMeshless particle methodSmoothed Particle Hydrodynamics methodMaxwell's equationSolverSmoothed-particle hydrodynamicsSettore MAT/08 - Analisi NumericaSettore ING-IND/31 - ElettrotecnicaComputational Mathematicssymbols.namesakeElectromagnetic transientsymbolsApplied mathematicsSmoothingMathematicsApplied Mathematics and Computation
researchProduct

Global sensitivity analysis in wastewater treatment modelling

2019

Global sensitivity analysis (GSA) is a valuable tool to support the use of mathematical models. GSA allows the identifcation of the effect of model and input factor uncertainty on the model response, also considering the effect due to the interactions among factors. During recent years, the wastewater modelling feld has embraced the use of GSA. Wastewater modellers have tried to transfer the knowledge and experience from other disciplines and other water modelling felds.

Mathematical optimizationSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleComputational burden convergence modelling numerical methods sensitivity analysis water modellingGlobal sensitivity analysisNumerical analysisConvergence (routing)Sewage treatmentMathematics
researchProduct

Representation of capacity drop at a road merge via point constraints in a first order traffic model

2018

We reproduce the capacity drop phenomenon at a road merge by implementing a non-local point constraint at the junction in a first order traffic model. We call capacity drop the situation in which the outflow through the junction is lower than the receiving capacity of the outgoing road, as too many vehicles trying to access the junction from the incoming roads hinder each other. In this paper, we first construct an enhanced version of the locally constrained model introduced by Haut et al. (Proceedings 16th IFAC World Congress. Prague, Czech Republic 229 (2005) TuM01TP/3), then we propose its counterpart featuring a non-local constraint and finally we compare numerically the two models by c…

Mathematical optimizationTraffic model010103 numerical & computational mathematics01 natural sciencesScalar conservation law; LWR model; traffic flow on networks; point constraint on the flux; finite volumes schemesNOfinite volumes schemes[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]point constraint on the flux0101 mathematics[MATH]Mathematics [math]Scalar conservation lawMathematicsLWR modelNumerical AnalysisApplied MathematicsFirst order010101 applied mathematicsFinite volumes schemes; LWR model; Point constraint on the flux; Scalar conservation law; Traffic flow on networksComputational MathematicsModeling and Simulationtraffic flow on networksOutflowfinite volumes schemeMerge (version control)Analysis
researchProduct

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
researchProduct

Solving the pentahedron problem

2015

Nowadays, all geometric modelers provide some tools for specifying geometric constraints. The 3D pentahedron problem is an example of a 3D Geometric Constraint Solving Problem (GCSP), composed of six vertices, nine edges, five faces (two triangles and three quadrilaterals), and defined by the lengths of its edges and the planarity of its quadrilateral faces. This problem seems to be the simplest non-trivial problem, as the methods used to solve the Stewart platform or octahedron problem fail to solve it. The naive algebraic formulation of the pentahedron yields an under-constrained system of twelve equations in eighteen unknowns. Even if the use of placement rules transforms the pentahedron…

Mathematical optimization[ INFO ] Computer Science [cs]Interval (mathematics)[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]Industrial and Manufacturing EngineeringDesargues’ theoremPolyhedronAl-Kashi theorem[INFO]Computer Science [cs]Algebraic numberFinite setMathematicsGeometric constraint solving problemsQuadrilateralGeometric modeling with constraintsSolution set[ MATH.MATH-NA ] Mathematics [math]/Numerical Analysis [math.NA]SolverComputer Graphics and Computer-Aided DesignPentahedronPentahedronComputer Science ApplicationsAlgebraInterval solver[ INFO.INFO-CG ] Computer Science [cs]/Computational Geometry [cs.CG][MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]
researchProduct

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
researchProduct

A rigidity problem on the round sphere

2015

We consider a class of overdetermined problems in rotationally symmetric spaces, which reduce to the classical Serrin's overdetermined problem in the case of the Euclidean space. We prove some general integral identities for rotationally symmetric spaces which imply a rigidity result in the case of the round sphere.

Mathematics - Differential GeometryPure mathematicsEuclidean spaceApplied MathematicsGeneral Mathematics010102 general mathematicsMathematics::Analysis of PDEsComputer Science::Numerical Analysis01 natural sciencesOverdetermined systemrotationally symmetric spaceMathematics - Analysis of PDEsRigidity (electromagnetism)rigidityDifferential Geometry (math.DG)Settore MAT/05 - Analisi Matematica0103 physical sciencesRound sphereFOS: MathematicsPrimary 35R01 35N25 Secondary: 53C24 58J05Overdetermined PDE010307 mathematical physics0101 mathematicsAnalysis of PDEs (math.AP)Mathematics
researchProduct

The Calderón problem with partial data on manifolds and applications

2013

We consider Calderon's inverse problem with partial data in dimensions $n \geq 3$. If the inaccessible part of the boundary satisfies a (conformal) flatness condition in one direction, we show that this problem reduces to the invertibility of a broken geodesic ray transform. In Euclidean space, sets satisfying the flatness condition include parts of cylindrical sets, conical sets, and surfaces of revolution. We prove local uniqueness in the Calderon problem with partial data in admissible geometries, and global uniqueness under an additional concavity assumption. This work unifies two earlier approaches to this problem (\cite{KSU} and \cite{I}) and extends both. The proofs are based on impr…

Mathematics - Differential GeometryPure mathematicsGeodesiccalderón problem35J10Boundary (topology)Conformal mappartial data58J32Integral geometryMathematics - Analysis of PDEsFOS: MathematicsUniquenessMathematicsFlatness (mathematics)Numerical AnalysisCalderón problemEuclidean spaceApplied Mathematicsta11135R30Differential Geometry (math.DG)inverse problemSurface of revolutionAnalysisAnalysis of PDEs (math.AP)Analysis & PDE
researchProduct

Partial data inverse problems for the Hodge Laplacian

2017

We prove uniqueness results for a Calderon type inverse problem for the Hodge Laplacian acting on graded forms on certain manifolds in three dimensions. In particular, we show that partial measurements of the relative-to-absolute or absolute-to-relative boundary value maps uniquely determine a zeroth order potential. The method is based on Carleman estimates for the Hodge Laplacian with relative or absolute boundary conditions, and on the construction of complex geometric optics solutions which reduce the Calderon type problem to a tensor tomography problem for 2-tensors. The arguments in this paper allow to establish partial data results for elliptic systems that generalize the scalar resu…

Mathematics - Differential GeometryPure mathematicsadmissible manifoldsType (model theory)partial data01 natural sciences58J32inversio-ongelmatMathematics - Analysis of PDEsFOS: MathematicsBoundary value problemUniquenessTensor0101 mathematicsMathematicsNumerical Analysisabsolute and relative boundary conditionsGeometrical opticsinverse problemsApplied Mathematicsta111010102 general mathematicsScalar (physics)Inverse problemCarleman estimates010101 applied mathematics35R30Differential Geometry (math.DG)Hodge LaplacianLaplace operatorAnalysisAnalysis of PDEs (math.AP)Analysis & PDE
researchProduct

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
researchProduct