### Society for Industrial and Applied Mathematics

We are the WPI student chapter of SIAM, and we encourage the promotion of applied mathematics and computational science to young mathematicians. We provide opportunities to share ideas, learn about careers in applied and computational mathematics, and develop networks.

Please join us to attend one of our SIAM research talks. We will have
Nathan Marculis to give a talk about his research in Mathmatical Biology.
The talk is on Wednesday, November 13, 2013, 4-5pm, SH306.

**Abstract:**

*Carcinus maenas* (The European Green Crab) have been introduced
to the east and west coasts of North America. The crab population has
spread to become an established invasive species and impacted resident species by causing
severe economic and ecological damage. This talk presents two
integro-difference models; one for the spread of the crab and one to model
the control of the crab by introducing *Sacculina carcini*. Under certain
conditions, the parasite has been shown to be an effective biological
control agent.

We have Nguyenho Ho is going to give a talk on

*Anderson Acceleration Method on Solving the Stokes Equations*
**Abstract:**

Anderson Acceleration (AA) Method is a type of iterative algorithm used to estimate the
solutions through a system of linear equations. Generally, it accel- erates the convergence of
the fixed point problem. However, there has not much development in using AA algorithm in
fluid applications in general and the Stokes problem in particular. The goal is to solve for
the velocity field and the pressure profile of the Stokes equations using AA as a solver. Furthermore, we will compare the number of iterations, the computational time, the error estimation between AA method and the standard GMRES through some test problems. The Stokes equations will be discretized using finite element method (FEM). This can be written in the terms of the saddle point problem in which the Uzawa algorithm is executed to lead to the application of AA method.

We now have a much better view!