Problem Solver
Patrick Gambill
Areas Patrick Gambill is Knowledgeable in:
I am particularly interested in network theory, linear algebra, and algorithms.
Techniques Patrick Gambill Uses:
When working with math problems, I find it helpful to start by working simpler test cases. Often by working through simpler test cases, I can start to get a feel for a more general solution. When I develop a more general method for solving a type of problem, I attempt to break the method by finding extreme examples.
Patrick Gambill's Problem Solving Skills:
- 4 years of experience with Mathematica
- 4 years of experience with C++
- 6 Years of Python
- 2 years of experience with Matlab
Patrick Gambill's Problem Solving Experience:
- I helped develop code to model laser data for detecting methane.
I have modeled various networks in Python using the NetworkX library.
I have implemented random terrain generation using the wave-function-collapse algorithm in Python.
I have implemented the Runge-Kutta-Fehlberg method in Python using the Scipy library.
I have implemented various image compression methods in Octave.