Leo Lee

Associate Professor, Mathematics University of Mary Washington

  • Fredericksburg VA

Leo Lee is an associate professor of mathematics at the University of Mary Washington.

Contact

University of Mary Washington

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Biography

Leo Lee is an associate professor of mathematics at the University of Mary Washington.

Areas of Expertise

Mathematics
Stochastic Processes
Computer Science
Student Mentorship
International Studies
Calculus Teaching

Accomplishments

Sabbatical Award

2014-01-01

Awarded by the University of Mary Washington.

Experiential Learning Grant

2014-03-01

Awarded by the Center for Teaching Excellence and Innovation.

Professional Affiliation Development Grant

2013-03-01

Awarded by the Korean-American Scientists and Engineers Association.

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Education

Iowa State University

Ph.D.

Applied Mathematics

2008

Sogang University

M.S.

Mathematics

Kangnam University

B.S.

Mathematics

Affiliations

  • Korean-American Mathematical Scientists Association

Media Appearances

Fredericksburg-area health officials say 'worst is probably still ahead of us'

fredericksburg.com  online

2020-04-20

Stern has been working with Leo Lee, a math professor at the University of Mary Washington, to develop charts showing “the true number of new cases” locally, said health district spokesperson Allison Balmes–John.

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Event Appearances

Optimal Control Problems for SPDEs with Neumann Conditions

US-Korea Conference 2015  Atlanta, GA

2015-07-29

A non-overlapping DDM for the numerical solution of stochastic elliptic PDEs

Mathematics Colloquium, Department of Mathematics, Sogang University  Seoul, Korea

2014-12-05

An Optimization Based Domain Decomposition Method for PDEs with Random Inputs

Joint Mathematics Meetings  Baltimore, MD

2014-01-14

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Articles

An optimization based domain decomposition method for PDEs with random inputs

Computers & Mathematics with Applications

2014

ABSTRACT: An optimization-based domain decomposition method for stochastic elliptic partial differential equations is presented. The main idea of the method is a constrained optimization problem for which the minimization of an appropriate functional forces the solutions on the two subdomains to agree on the interface; the constraints are the stochastic partial differential equations.

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A Stochastic Galerkin Method for Stochastic Control Problems

Communications in Computational Physics

2013

ABSTRACT: In an interdisciplinary field on mathematics and physics, we examine a physical problem, fluid flow in porous media, which is represented by a stochastic partial differential equation (SPDE). We first give a priori error estimates for the solutions to an optimization problem constrained by the physical model under lower regularity assumptions than the literature. We then use the concept of Galerkin finite element methods to establish a new numerical algorithm to give approximations for our stochastic optimal physical problem.

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Error Estimates of Stochastic Optimal Neumann Boundary Control Problems

SIAM Journal on Numerical Analysis

2011

ABSTRACT: We study mathematically and computationally optimal control problems for stochastic partial differential equations with Neumann boundary conditions. The control objective is to minimize the expectation of a cost functional, and the control is of the deterministic, boundary-value type. Mathematically, we prove the existence of an optimal solution and of a Lagrange multiplier ...

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