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Projects in 2003–2004


Fair Isaac Corporation: Develop a Prototype Excel Tool for Expert Decision Modeling

Advisor
Michael Raugh

Fair Isaac is currently looking to expand their midlevel decision modeling program. To this end the clinic team has been asked to develop an Excel based tool to facilitate the implementation and visualization of an expert decision model of midlevel complexity.

Team

  • Para Thomas (fall)
  • Aaron Becker
  • Daniel Cicio
  • Katherine Todd-Brown
  • Lisa Wice

Los Alamos National Laboratory: Shallow Water Waves

Advisor
Alfonso Castro

Los Alamos National Laboratory is currently researching various properties of nonlinear shallow water wave equations. With the help of the clinic's liaison, Dr. Darryl Holm, the team is analyzing the distinct behavior of the Camassa-Holm equation. This research investigation will include both a theoretical and a numerical analysis of soliton-like shallow water waves called peakons. For the numerical investigation, the team has created a numerical integrator for the third order, nonlinear Camassa-Holm equation. The theoretical results will be compared to numerical simulations that visualize various aspects of wave behavior in both the one and two dimensional cases.

Team

  • Kevin Andrew
  • Christian Bruun
  • Lindsay Crowl
  • Jon Goldis

Sandia National Laboratories: Improving GPS Algorithms

Advisor
Weiqing Gu

Current search and rescue satellite aided tracking systems can take several hours to determine the originating location of a beacon signal. A new satellite array has been proposed which will allow for nearly instantaneous detection. This new system calls for a different set of equations to be solved in order to determine the beacon's location. We discuss algorithms for solving the required system of polynomial equations and will analyze the stability and accuracy of each in our future work.

We hope to improve the solution algorithm by solving the problem using alternate approaches. The first method, proposed by S.A. Vavasis and G.F. Jonsson, utilizes Macaulay resultant matrices. The second method, due to W. Gu, takes advantage of the geometry of the system to find solutions. We use Matlab for numerical implementation of each method and include a description of the process.

Team

  • Luke Finlay (fall)
  • Todd Cadwallader-Olsker
  • Elizabeth Millan
  • Andrew Niedermaier
  • Josh Padgett