activity
20152023
most citedAn implicit boundary integral method for computing electric potential of macromolecules in solvent

19 citations · 53 across the 16 of their papers we have counts for

collaborators

17 papers

cs.LG2023

Linear Regression on Manifold Structured Data: the Impact of Extrinsic Geometry on Solutions

Liangchen Liu, Juncai He, Richard Tsai

In this paper, we study linear regression applied to data structured on a manifold. We assume that the data manifold is smooth and is embedded in a Euclidean space, and our objecti…

math.NA2022★ 2 cited

Corrected Trapezoidal Rule-IBIM for linearized Poisson-Boltzmann equation

Federico Izzo, Yimin Zhong, Olof Runborg +1

In this paper, we solve the linearized Poisson-Boltzmann equation, used to model the electric potential of macromolecules in a solvent. We derive a corrected trapezoidal rule with…

math.NA2022

Convergence of a class of high order corrected trapezoidal rules

Federico Izzo, Olof Runborg, Richard Tsai

We present convergence theory for corrected quadrature rules on uniform Cartesian grids for functions with a point singularity. We begin by deriving an error estimate for the punct…

math.NA2022★ 5 cited

High order corrected trapezoidal rules for a class of singular integrals

Federico Izzo, Olof Runborg, Richard Tsai

We present a family of high order trapezoidal rule-based quadratures for a class of singular integrals, where the integrand has a point singularity. The singular part of the integr…

cs.LG2022

Side Effects of Learning from Low-dimensional Data Embedded in a Euclidean Space

Juncai He, Richard Tsai, Rachel Ward

The low-dimensional manifold hypothesis posits that the data found in many applications, such as those involving natural images, lie (approximately) on low-dimensional manifolds em…

math.NA2021

Numerical wave propagation aided by deep learning

Hieu Nguyen, Richard Tsai

We propose a deep learning approach for wave propagation in media with multiscale wave speed, using a second-order linear wave equation model. We use neural networks to enhance the…

math.NA2021★ 8 cited

Corrected trapezoidal rules for singular implicit boundary integrals

Federico Izzo, Olof Runborg, Richard Tsai

We present new higher-order quadratures for a family of boundary integral operators re-derived using the approach introduced in [Kublik, Tanushev, and Tsai - J. Comp. Phys. 247: 27…

cs.RO2019

Strategy Synthesis for Surveillance-Evasion Games with Learning-Enabled Visibility Optimization

Suda Bharadwaj, Louis Ly, Bo Wu +2

This paper studies a two-player game with a quantitative surveillance requirement on an adversarial target moving in a discrete state space and a secondary objective to maximize sh…

cs.CV2019

Nearest Neighbor Sampling of Point Sets using Rays

Liangchen Liu, Louis Ly, Colin Macdonald +1

We propose a new framework for the sampling, compression, and analysis of distributions of point sets and other geometric objects embedded in Euclidean spaces. Our approach involve…

math.NA2019★ 17 cited

A stable parareal-like method for the second order wave equation

Hieu Nguyen, Richard Tsai

A new parallel-in-time iterative method is proposed for solving the homogeneous second-order wave equation. The new method involves a coarse scale propagator, allowing for larger t…

math.NA2017★ 19 cited

An implicit boundary integral method for computing electric potential of macromolecules in solvent

Yimin Zhong, Kui Ren, Richard Tsai

A numerical method using implicit surface representations is proposed to solve the linearized Poisson-Boltzmann equations that arise in mathematical models for the electrostatics o…

math.NA2017

Volumetric variational principles for a class of partial differential equations defined on surfaces and curves

Jay Chu, Richard Tsai

In this paper, we propose simple numerical algorithms for partial differential equations (PDEs) defined on closed, smooth surfaces (or curves). In particular, we consider PDEs that…

math.NA2017★ 1 cited

θ-parareal schemes

Gil Ariel, Hieu Nguyen, Richard Tsai

A weighted version of the parareal method for parallel-in-time computation of time dependent problems is presented. Linear stability analysis for a scalar weighing strategy shows t…

math.NA2016

An extrapolative approach to integration over hypersurfaces in the level set framework

Catherine Kublik, Richard Tsai

We provide a new approach for computing integrals over hypersurfaces in the level set framework. The method is based on the discretization (via simple Riemann sums) of the classica…

math.NA2016

An implicit boundary integral method for interfaces evolving by Mullins-Sekerka dynamics

Chieh Chen, Catherine Kublik, Richard Tsai

We present an algorithm for computing the nonlinear interface dynamics of the Mullins-Sekerka model for interfaces that are defined implicitly (e.g. by a level set function) using…

math.NA2015

Integration over curves and surfaces defined by the closest point mapping

Catherine Kublik, Richard Tsai

We propose a new formulation for integrating over smooth curves and surfaces that are described by their closest point mappings. Our method is designed for curves and surfaces that…

math.NA2015★ 1 cited

Parareal methods for highly oscillatory dynamical systems

Gil Ariel, Seong Jun Kim, Richard Tsai

We introduce a new strategy for coupling the parallel in time (parareal) iterative methodology with multiscale integrators. Following the parareal framework, the algorithm computes…