| Todd Arbogast Professor of Mathematics W.A. "Tex" Moncrief, Jr. Distinguished Professorship in Computational Engineering and Sciences — Applied Mathematics University of Texas at Austin Ph.D., University of Chicago, 1987 Department of Mathematics 2515 Speedway, Stop C1200 Austin, Texas 78712-1202 Office: RLM 11.162 Phone: (512) 471-0166 E-Mail: arbogast@math.utexas.edu Oden Institute for Computational Engineering and Sciences 201 E. 24th St., Stop C0200 Austin, TX 78712 Office: POB 5.334 Phone: (512) 475-8628 E-Mail: arbogast@oden.utexas.edu |
Todd Arbogast's areas of expertise include the numerical analysis of partial differential systems,
mathematical modeling, and scientific computation. His research includes the development of a
Eulerian-Lagrangian schemes for advective flow; the study of mixed methods and cell-centered finite
differences for nonlinear and geometrically irregular elliptic problems; the modeling and simulation
of multi-phase flow through porous media, including fractured and vuggy media, with applications to
petroleum production and groundwater resources; numerical homogenization, subgrid upscaling, and
domain decomposition of heterogeneous media; and simulation of the dynamics of the Earth's
mantle. He is a core member of the Oden Institute for
Computational Engineering and Sciences and associate director of the Center for Subsurface Modeling at The University of Texas at Austin, and an associated faculty of
the Department of Statistics and Date Sciences.
Curriculum Vitae Publications 2019 Finite Element Rodeo Conference Banquet in honor of Professor Mary F. Wheeler, July 28, 2019 Finite Volume Approximation, Babuška Forum, May 29, 2020 |
UT Course Schedules, UT Course & Degree Catalogues, UT Academic Calendar, and Course Syllabi and CVs.
Spring 2020
M 383D/CSE 386D. Methods of Applied Mathematics II. (Pre COVID-19 syllabus.)
Fall 2019
M 340l. Matrices and Matrix Calculations-CS.
Spring 2019
M 383D/CSE 386D. Methods of Applied Mathematics II.
Fall 2018
M 348. Scientific Computation in Numerical Analysis.
A web-based c++ compiler
M 340l. Matrices and Matrix Calculations-CS.
Spring 2018
M 348. Scientific Computation in Numerical Analysis.
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Students at 471-6259, 471-4641 TTY.
Lecture Notes for Applied Mathematics (2008 corrected version) Methods of Applied Mathematics
Overview of CSEM program for incoming students
Mathematics Degree Options. (For older degree catalogues: Specialization in Scientific Computation degree requirements.)
Computational Science and Engineering (CSE) Certificate Program. Undergraduate opportunity for in-depth study and research in CSE.
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