**Ben Adcock**

Numerical Analysis, Applied and Computational Harmonic Analysis, Compressed Sensing

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The Applied Mathematics Research Group is one of the largest and most forward-thinking in Canada. Research in this group spans a broad variety of modern topics in applied mathematics, ranging from numerical analysis and scientific computing to modelling and rigorous analysis. Most of this research focuses on nonlinear partial differential equations and their wide applications across the sciences. Numerical and computational topics include compressed sensing, computational fluid dynamics, numerical methods for PDEs on surfaces, image and signal processing, spectral methods, medical imaging, integral equation methods, and adaptive mesh methods. Topics in modelling and applied analysis include the study of differential equation models in areas such as atmospheric sciences, kinetic theory, fluid dynamics, cognitive science, mathematical biology and self-organizing behaviour, as well as computational spectral theory and convergence and error analysis of numerical methods.

Our department offers graduate programs (MSc and PhD) in the area of applied and computational mathematics. More information about these programs can be found on the graduate section of the department's website here: http://www.sfu.ca/math/graduate/programs.html. The applied mathematics group runs a weekly seminar on Fridays at 3:00pm. Information about upcoming talks can be found on the department's calendar of events on the home page here: http://www.sfu.ca/math.html or through the link below.

Numerical Analysis, Applied and Computational Harmonic Analysis, Compressed Sensing

Applied PDE Analysis, Self-Organizing Behaviour

Computational Fluid Dynamics, Integral Equation Methods

Geophysical Fluid Dynamics, Asymptotic Methods

Numerical Analysis, Spectral Methods, Mathematical Biology

Scientific Computing, PDE's On Surfaces

Computational Fluid Dynamics, Industrial Mathematics

Applied PDE Analysis, Kinetic Theory

Scientific Computing, Medical Imaging

Stochastic Differential Equations, Cognitive Science

Scientific Computing, Adaptive Methods

Fluid Dynamics, Mathematical Epidemiology

(Professor Emeritus) Numerical Analysis, Adaptive Mesh Methods

- Simone Brugiapaglia (B. Adcock & P. Tupper)
- Gavin Jenkins (P. Tupper)

- Martin Ambrozic
- Tian Chen
- Alamgir Hossain
- Yi Sui

- Raymond Walsh

- Jie Jian
- Saeed Mirazimi
- Nicola Mulberry

- APMA 900 (4) - Asymptotic Analysis of Differential Equations
- APMA 901 (4) - Parital Differential Equations
- APMA 920 (4) - Numerical Linear Algebra
- APMA 922 (4) - Numerical Solution of Partial Differential Equations

- APMA 923 (4) - Numerical Methods in Continuous Optimization

- APMA 930 (4) - Computational Fluid Dynamics
- APMA 935 (4) - Analysis and Computation of Models
- APMA 990 (4) - Selected Topics in Applied Mathematics
- MATH 895 (4) - Reading Course: Introduction to Compressed Sensing

- MATH 418 (3) - Partial Differential Equations
- MATH 425 (3) - Real Analysis
- MATH 461 (3) - Continuous Mathematical Models
- MATH 462 (3) - Fluid Dynamics
- MATH 467 (3) - Dynamical Systems
- MATH 470 (3) - Variational Calculus
- MATH 495 (3) - Selected Topics in Applied Mathematics
- MACM 409 (3) - Numerical Linear Algebra and Optimization
- MACM 416 (3) - Numerical Analysis II

- PIMS Workshop on Computational Arithmetic Geometry

- PIMS Abelian Varieties Multi-Site Seminar
- Joint PIMS/SFU/UBC Number Theory Seminar

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