51社区黑料

Applied Mathematics
& Scientific Computing
51社区黑料
Department of Mathematics

Applied Mathematics, in partnership with Scientific Computing, represents a quantitative bridge to the challenges of real-world problems. For the research group at SFU, the excitement and opportunity in this branch of mathematics stems from its evolution at the speed of technology. The trend for exponential increases in computing capabilities continually open up new vistas accessible to numerical modelling. As many research problems are complex and multi-faceted, they require strong mathematical skills, computational experience, and in-depth knowledge of background sciences. The graduate research opportunities and course offerings in Applied Mathematics at 51社区黑料reflects this emphasis on balance between classical mathematical theory, modern computational techniques, and scientific modelling.

Our members are also active participants in the programs and initiatives of the , and .


Faculty

Optimization, Tomography, Convex Analysis, Nonlinear Analysis.

jborwein@cecm.sfu.ca

Calculus of Variations, Partial Differential Equations, and their interaction with the material sciences.

choksi@math.sfu.ca

Viscoelastic Fracture, Contact Mechanics.

gac@math.sfu.ca

Computational Fluid Dynamics, Low Reynolds Number Hydrodynamics, Transonic Aerodynamics.

mkropins@cs.sfu.ca

Nonsmooth Optimization & Analysis.

aslewis@sfu.ca

Atmospheric Science, Asymptotic Modelling, Nonlinear Waves & Dynamics, Scientific Mathematics.

muraki@math.sfu.ca

Relativistic continuum mechanics.

pechlane@sfu.ca

Fuel Cell Modelling, Dynamical Systems, PDE, Nonlinear Optics.

kpromisl@cs.sfu.ca

Scientific Computing, Dynamical Systems.

rdr@math.sfu.ca

Numerical analysis.

sruuth@math.sfu.ca

Electromagnetic Scattering.

cshen@sfu.ca

Numerical Analysis.

mrt@cs.sfu.ca
Graduate Admissions

See our at (follow the Graduate Studies link). Application forms may be obtained from . The deadline for admission in fall 2002 is 16 February.

Some Coursewebs from 2001 & 2002

Fluid Dynamics
Introduction to Wavelets
Real Analysis
Asymptotic & Perturbation Methods
Numerical PDEs
Nonlinear PDE Models