Difference between revisions of "User:Akashdpatel33"
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==Background Story== | ==Background Story== | ||
| − | I am from Savannah, GA. I enjoy meeting new people and making friends. | + | |
| + | I am from Savannah, GA. I enjoy meeting new people and making friends. As a freshman at Duke University I have the best four years ahead of me. I have to make my own opportunities using the great resources that this university has to offer. I am in charge of my future, and I am pumped to mold it. | ||
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| + | ==Grand Challenges== | ||
| + | |||
| + | [http://www.engineeringchallenges.org/cms/8996/9079.aspx Provide energy from fusion], National Academy of Engineering of the National Academies, accessed 8 September 2014 (Grand Challenge) | ||
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| + | ==Favorite Demo== | ||
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| + | I really enjoyed the Traveling Salesman demonstration. Last summer I did a project on this same problem and the various ways to solve it; so seeing MATLAB find a solution got me thinking: How does MATLAB solve it? What method does the program use? Is this a genetic algorithm solution? Where can I apply this process? Optimization problems have always challenged programing minds and seeing a demonstration that does this much makes me think how far we have come in the last couple decades. I look forward to where programming will take us next. | ||
Latest revision as of 20:29, 10 September 2014
Background Story
I am from Savannah, GA. I enjoy meeting new people and making friends. As a freshman at Duke University I have the best four years ahead of me. I have to make my own opportunities using the great resources that this university has to offer. I am in charge of my future, and I am pumped to mold it.
Grand Challenges
Provide energy from fusion, National Academy of Engineering of the National Academies, accessed 8 September 2014 (Grand Challenge)
Favorite Demo
I really enjoyed the Traveling Salesman demonstration. Last summer I did a project on this same problem and the various ways to solve it; so seeing MATLAB find a solution got me thinking: How does MATLAB solve it? What method does the program use? Is this a genetic algorithm solution? Where can I apply this process? Optimization problems have always challenged programing minds and seeing a demonstration that does this much makes me think how far we have come in the last couple decades. I look forward to where programming will take us next.
