The diversity of this group is reflected in its research interests, which
range over such areas as approximation theory, numerical analysis of
partial differential equations, adaptive methods for
scientific computing, computational methods of fluid dynamics and
elasticity, numerical solution of nonlinear problems, numerical
optimization, algorithm design, high level programming
languages, simplicial grid computations, automatic image and pattern
analysis, and simulation of stochastic reaction diffusion systems. There
are weekly seminars, as well as lectures and
workshops at the Pittsburgh Supercomputing Center on current trends in
scientific supercomputing.
Topics of Current Research Interest
Our interests continue to evolve and expand. Here is a selection of some
of our current interests:
- Numerical Optimization,
Constrained Optimization, Differential Algebraic Equation, Applications
- Computational Fluid Dynamics,
Large Eddy Simulation and Turbulence More on LES , Finite Element
Methods for Fluid Flow and Natural Convection Problems,
Parallel Algorithms for Nonsymmetric Problems, Multi-scale Discretizations
of Flow Problems, Uncertainties in Turbulent Flow Simulations.
- Numerical analysis of flow and transport processes in porous media,
Large scale scientific computing with applications to flow in porous
media, Massively parallel simulations of multiphase porous media and
surface flows on irregular multiblock domains,
High-order discretizations of single phase and multiphase flow in
fractured and heterogeneous porous medium, Numerical modeling of miscible
displacement for stable and unstable flows,
Multinumerics approaches (coupling of discontinuous Galerkin and mixed
finite element methods for single phase flow), Multiphysics approaches
(coupling of Stokes and Darcy
flows using a discontinuous Galerkin method), Multi-numerics/multi-physics
approaches (coupling of classical finite element and mixed finite element
methods for the coupled Stokes/Darcy
problem, coupling of discontinuous Galerkin and mixed finite element
methods for the coupled Stokes/Darcy problem).
- Finite Element Methods
Discontinuous Galerkin finite element methods, numerical analysis of
partial differential equations, Domain Decomposition, Adaptivity,
Mixed Finite Element (MFE) Methods, FEM's for Hyperbolic Systems and
Elliptic-Hyperbolic Singular Perturbation Problems
design and analysis of accurate discretization techniques (mixed finite
elements, finite volumes, finite differences)
- Large Scale Scientific Computing
Efficient nonlinear iterative solvers (domain decomposition, multigrid,
Newton-Krylov methods), Multi-numerics Approach: Theoretical Error
Analysis , Multi-physics Approach: Theoretical
Error Analysis, Multi-Level Newton Methods, Numerical Linear Algebra,
Adaptive and parallel algorithms.
- Analysis
A priori and a posteriori error analysis, Well-posedness of nonlinear
models, Functional analysis, Nonlinear analysis applied to ordinary
differential equations and partial differential equations.
- Applications,
Modeling and simulation of aluminum reduction cells, Applications of
Porous Media Modeling and Simulation, Uncertainty sensitivity and design
in CFD applications, Turbulence Modeling,
Modeling of seismic waves in heterogeneous media, Modeling of viscoelastic
solids, Parallel computing.
In all these areas, one common theme is:
Mathematical analysis as a guide to practical computation.
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