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Graduate Program in Scientific Computation Scientific
computing encompasses the modeling, simulation, and visualization activities
increasingly used in science to complement, enhance, and extend traditional
methods of scientific research. An emerging new focus in scientific computation
is symbolic mathematical computation, also known as computer algebra.
Research accomplishments in this area are behind such systems as DERIVE,
MAPLE, MATHEMATICA, MACSYMA, REDUCE, and SCRATCHPAD. Our program emphasizes
computer algebra and opportunities in numerical computing guided jointly
by faculty in the Computer and Information Sciences (CIS) Department and
the Mathematical Sciences Department. In CIS we have a strong group of
faculty with research activities in computer algebra, and MATH has a strong
group of faculty in numerical computing. These resources provide a tremendous
opportunity for the student of scientific computation at the University
of Delaware. CIS faculty research interests are in parallel algebraic algorithms,
use of randomization in algebraic algorithms, algorithms for integration
in finite terms, algorithms for solving differential equations in closed
form, symbolic/numeric methods in linear algebra, solution of polynomial
equations and related issues, and algebraic computations over algebraic
number and function fields. In the Department of Mathematical Sciences,
faculty members investigate problems in partial differential equations
and integral equations arising in such areas as elasticity, electromagnetic
theory, fluid dynamics, and viscoelasticity as well as image processing,
wave propagation, and mathematical biology. Applications include linear
and nonlinear boundary value problems, direct and inverse scattering problems
and signal processing. The methods include direct and iterative procedures,
collocation, finite difference and finite element techniques and boundary
element methods.
Current Faculty
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David Saunders
Department of Computer & Information Sciences
103 Smith Hall | Newark, DE 19716