Topic ID: |
3444 | |
Title: |
Application of nonlinear optimization problems in Satellite Synthetic Aperture Radar Interferometry | |
Supervisor: |
Linlin Ge | |
Research Area: |
Algorithms | |
| Associated Staff | ||
|---|---|---|
Assessor: |
Chun Tung Chou | |
| Topic Details | ||
Status: |
Active | |
Type: |
R & D | |
Programs: |
CS | |
Group Suitable: |
No | |
Industrial: |
No | |
Pre-requisites: |
C/C++ | |
Description: |
Nonlinear optimisation problems is defined by a system of equalities and inequalities over a set of unknown real variables along with an objective function to be maximised or minimised where some of the objective function are nonlinear. Real-world optimization problems are often large and nonlinear (http://www.princeton.edu/~rvdb/tex/loqo5/loqo5_5.pdf). For example, a financial optimization problem can have hundreds of thousands of variables and constraints. The candidate is expected to perform algorithmic optimisation to solve the nonlinear optimisation problems related to the satellite SAR applications and work side-by-side with a postdoc. |
|
Comments: |
-- | |
| Past Student Reports | ||
| No Reports Available. Contact the supervisor for more information.
Check out all available reports in the CSE Thesis Report Library. NOTE: only current CSE students can login to view and select reports to download. |
||