Svetlana Tlupova

ORCID: 0000-0003-0677-5432
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Research Areas
  • Advanced Numerical Methods in Computational Mathematics
  • Numerical methods in engineering
  • Advanced Mathematical Modeling in Engineering
  • Electromagnetic Scattering and Analysis
  • Theoretical and Computational Physics
  • Lattice Boltzmann Simulation Studies
  • Numerical methods in inverse problems
  • Soil and Unsaturated Flow
  • Nanofluid Flow and Heat Transfer
  • Fluid Dynamics and Turbulent Flows
  • Model Reduction and Neural Networks
  • Orbital Angular Momentum in Optics
  • Algorithms and Data Compression
  • Micro and Nano Robotics
  • Graph Labeling and Dimension Problems
  • Enhanced Oil Recovery Techniques
  • Parallel Computing and Optimization Techniques
  • Mathematical Approximation and Integration
  • Composite Material Mechanics
  • Heat and Mass Transfer in Porous Media
  • Microfluidic and Bio-sensing Technologies
  • Electromagnetic Simulation and Numerical Methods
  • Error Correcting Code Techniques
  • Heat Transfer and Optimization
  • Algebraic and Geometric Analysis

Farmingdale State College
2019-2024

University of Michigan
2013

New Jersey Institute of Technology
2008-2009

Tulane University
2004

10.1016/j.jcp.2008.09.011 article EN Journal of Computational Physics 2008-09-20

We consider a coupled problem of Stokes and Darcy equations. This involves solving PDEs different orders simultaneously. To overcome this difficulty, we apply nonoverlapping domain decomposition method based on Robin boundary condition obtained by combining the velocity force interface conditions. The system is then reduced to each separately an iterative procedure using Krylov subspace method. numerical solution in subdomain integral formulation, where kernels are regularized correction...

10.1137/110838376 article EN SIAM Journal on Scientific Computing 2013-01-01

10.1016/j.jcp.2009.08.014 article EN Journal of Computational Physics 2009-08-29

A kernel-independent treecode (KITC) is presented for fast summation of particle interactions. The method employs barycentric Lagrange interpolation at Chebyshev points to approximate well-separated particle-cluster KITC requires only kernel evaluations, suitable non-oscillatory kernels, and it utilizes a scale-invariance property interpolation. For given level accuracy, the reduces operation count pairwise interactions from $O(N^2)$ $O(N\log N)$, where $N$ number particles in system....

10.4208/cicp.oa-2019-0177 article EN cc-by Communications in Computational Physics 2020-01-01

10.1016/j.jcp.2019.02.031 article EN Journal of Computational Physics 2019-03-04

Abstract A straightforward method is presented for computing three-dimensional Stokes flow, due to forces on a surface, with high accuracy at points near the surface. The flow quantities are written as boundary integrals using free-space Green’s function. To evaluate boundary, singular kernels regularized and simple quadrature applied in coordinate charts. High order obtained by adding special corrections regularization discretization errors, derived here local asymptotic analysis. Numerical...

10.4208/cicp.020812.080213a article EN Communications in Computational Physics 2013-06-14

10.1007/s10444-024-10161-4 article EN Advances in Computational Mathematics 2024-07-01

The Stokeslet and stresslet kernels are commonly used in boundary element simulations singularity methods for slow viscous flow. Evaluating the velocity induced by a collection of Stokeslets stresslets direct summation requires $O(N^2)$ operations, where $N$ is system size. present work develops treecode algorithm 3D that reduces cost to $O(N\log N)$. particles divided into hierarchy clusters, well-separated particle-cluster interactions computed far-field Cartesian Taylor approximation....

10.4208/aamm.oa-2018-0187 article EN Advances in Applied Mathematics and Mechanics 2019-06-01

10.1016/j.jcp.2021.110824 article EN publisher-specific-oa Journal of Computational Physics 2021-11-09

Treecode algorithms efficiently approximate N-body interactions in O(N) or O(NlogN). In order to treat general 3D kernels, recent developments employ polynomial interpolation the kernels. The polynomials are a tensor product of 1-dimensional polynomials. Here, we develop an O(NlogN) tricubic based treecode method for is inherently three-dimensional and as such does not product. form allows easy evaluation derivatives kernel, required dynamical simulations, which case approach. We both...

10.1016/j.jcmds.2022.100068 article EN cc-by-nc-nd Journal of Computational Mathematics and Data Science 2022-11-23

Many problems in fluid dynamics are effectively modeled as Stokes flows - slow, viscous where the Reynolds number is small. Boundary integral equations often used to solve these problems, fundamental solutions for velocity Stokeslet and stresslet. One of main challenges evaluating boundary integrals that kernels become singular on surface. A regularization method eliminates singularities reduces numerical error through correction terms both stresslet was developed Tlupova Beale, JCP (2019)....

10.2140/involve.2022.15.515 article EN Involve a Journal of Mathematics 2022-12-02

10.4208/cicp.oa-2022-0153 article EN Communications in Computational Physics 2022-01-01

We present a method for computing nearly singular integrals that occur when single or double layer surface integrals, harmonic potentials Stokes flow, are evaluated at points nearby. Such values could be needed in solving an integral equation one is close to another obtain grid points. replace the kernel with regularized version having length parameter $\delta$ order control discretization error. Analysis near singularity leads expression error due regularization which has terms unknown...

10.48550/arxiv.2309.14169 preprint EN cc-by arXiv (Cornell University) 2023-01-01

We present a simple yet accurate method to compute the adjoint double layer potential, which is used solve Neumann boundary value problem for Laplace's equation in three dimensions. An expansion curvilinear coordinates leads us modify expression so that singularity reduced when evaluating integral on surface. then regularize Green's function, with radial parameter $\delta$. show natural regularization has error $O(\delta^3)$, and modification improves $O(\delta^5)$. The evaluated numerically...

10.48550/arxiv.2310.00188 preprint EN cc-by arXiv (Cornell University) 2023-01-01

Many problems in fluid dynamics are effectively modeled as Stokes flows - slow, viscous where the Reynolds number is small. Boundary integral equations often used to solve these problems, fundamental solutions for velocity Stokeslet and stresslet. One of main challenges evaluating boundary integrals that kernels become singular on surface. A regularization method eliminates singularities reduces numerical error through correction terms both stresslet was developed Tlupova Beale, JCP (2019)....

10.48550/arxiv.2108.13330 preprint EN cc-by arXiv (Cornell University) 2021-01-01
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