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.
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[[User:Akashdpatel33|Akashdpatel33]] ([[User talk:Akashdpatel33|talk]]) 23:29, 8 September 2014 (EDT)
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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==
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[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.