Difference between revisions of "User:Jm383"
Jump to navigation
Jump to search
| (2 intermediate revisions by the same user not shown) | |||
| Line 1: | Line 1: | ||
| − | Welcome to my | + | :Welcome to my page |
| + | :It doesn't have a lot yet | ||
| + | :Except this haiku | ||
| + | |||
| + | |||
| + | |||
==Grand Challenges for Engineering== | ==Grand Challenges for Engineering== | ||
:*Develop carbon sequestration methods | :*Develop carbon sequestration methods | ||
::*[http://http://e360.yale.edu/feature/geoengineering_carbon_dioxide_removal_technology_from_pollutant_to_asset/2498/ Rethinking Carbon Dioxide: From a Pollutant to an Asset], Marc Gunther, Yale University, published 23 February 2012, accessed 8 September 2012 (Grand Challenges) | ::*[http://http://e360.yale.edu/feature/geoengineering_carbon_dioxide_removal_technology_from_pollutant_to_asset/2498/ Rethinking Carbon Dioxide: From a Pollutant to an Asset], Marc Gunther, Yale University, published 23 February 2012, accessed 8 September 2012 (Grand Challenges) | ||
| + | |||
| + | ==Matlab Demo== | ||
| + | |||
| + | My favorite demo in the Matlab tutorials was the travelling salesman demo because I liked seeing the different routes the program chose; I could see it was working through a process that slowly unraveled the problem and eventually came to a solution. Even though a person could probably come up with the solution a lot faster, this shows a useful application of Matlab. It reminded me of solving a Rubik's cube. | ||
Latest revision as of 20:30, 11 September 2012
- Welcome to my page
- It doesn't have a lot yet
- Except this haiku
Grand Challenges for Engineering
- Develop carbon sequestration methods
- Rethinking Carbon Dioxide: From a Pollutant to an Asset, Marc Gunther, Yale University, published 23 February 2012, accessed 8 September 2012 (Grand Challenges)
Matlab Demo
My favorite demo in the Matlab tutorials was the travelling salesman demo because I liked seeing the different routes the program chose; I could see it was working through a process that slowly unraveled the problem and eventually came to a solution. Even though a person could probably come up with the solution a lot faster, this shows a useful application of Matlab. It reminded me of solving a Rubik's cube.
