Difference between revisions of "User:Alixouazana"
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17 years old | 17 years old | ||
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From Paris, France | From Paris, France | ||
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Currently a Student at Duke University in the Pratt School of Engineering and part of the Class of 2021 | Currently a Student at Duke University in the Pratt School of Engineering and part of the Class of 2021 | ||
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| + | Article on a Grand Challenge of Engineering: | ||
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| + | [http://www.cnn.com/2008/TECH/08/18/cyber.warfare/index.html?iref=newssearch U.S. at risk of cyberattacks, experts say], Brandon Griggs, CNN, updated 18 August 2008, accessed 18 September 2017 (Secure Cyberspace) | ||
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| + | Favorite MATLAB demonstration: The Travelling Salesman Problem | ||
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| + | The Traveling Salesman problem is able to solve how to find the shortest path through a set of different cities. This is my favorite demonstration because it is able to load data of different cities, check if cities are inside a specific border, and even draw that border. After calculating the number of possible trips, the trip distances, and the number of subtours, it returns a map with borders, cities (stops), but mostly with the path that answers the problem. I find it incredible that such a program can be run on MATLAB. | ||
Latest revision as of 04:20, 19 September 2017
Alix Ouazana
17 years old
From Paris, France
Currently a Student at Duke University in the Pratt School of Engineering and part of the Class of 2021
Article on a Grand Challenge of Engineering:
U.S. at risk of cyberattacks, experts say, Brandon Griggs, CNN, updated 18 August 2008, accessed 18 September 2017 (Secure Cyberspace)
Favorite MATLAB demonstration: The Travelling Salesman Problem
The Traveling Salesman problem is able to solve how to find the shortest path through a set of different cities. This is my favorite demonstration because it is able to load data of different cities, check if cities are inside a specific border, and even draw that border. After calculating the number of possible trips, the trip distances, and the number of subtours, it returns a map with borders, cities (stops), but mostly with the path that answers the problem. I find it incredible that such a program can be run on MATLAB.
