Difference between revisions of "User:Zj7"
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[http://web.mit.edu/newsoffice/2010/solar-antenna-0913.html Solar funnel: New antenna made of carbon nanotubes could make photovoltaic cells more efficient by concentrating solar energy], Anne Trafton, Massachusetts Institute of Technology, updated 13 September 2010, accessed 18 September 2010 (Make solar energy economical) | [http://web.mit.edu/newsoffice/2010/solar-antenna-0913.html Solar funnel: New antenna made of carbon nanotubes could make photovoltaic cells more efficient by concentrating solar energy], Anne Trafton, Massachusetts Institute of Technology, updated 13 September 2010, accessed 18 September 2010 (Make solar energy economical) | ||
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| + | === Name === | ||
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| + | My name is Zesi Jin but I go by Max. So the pronunciation of my name is \’maks\\ˈjin\. | ||
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| + | === Favorite Demonstration === | ||
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| + | The traveling salesman demo was definitely my favorite. It is amazing how MATLAB can determine which possibility is best for minimizing distance. I understand that MATLAB is able to find the shortest distance between two points, but with up to 50 points MATLAB can determine the shortest route going through all 50 points in less than a minute. The graphics that went as MATLAB ran different combinations was really cool, because I could see the process that MATLAB went through. Furthermore, I can definitely see a real-life application where this demo could be applied. For example, it could be really useful in arranging the trips of flights. | ||
Latest revision as of 02:32, 19 September 2010
Homework 1
Solar funnel: New antenna made of carbon nanotubes could make photovoltaic cells more efficient by concentrating solar energy, Anne Trafton, Massachusetts Institute of Technology, updated 13 September 2010, accessed 18 September 2010 (Make solar energy economical)
Homework 2
Name
My name is Zesi Jin but I go by Max. So the pronunciation of my name is \’maks\\ˈjin\.
Favorite Demonstration
The traveling salesman demo was definitely my favorite. It is amazing how MATLAB can determine which possibility is best for minimizing distance. I understand that MATLAB is able to find the shortest distance between two points, but with up to 50 points MATLAB can determine the shortest route going through all 50 points in less than a minute. The graphics that went as MATLAB ran different combinations was really cool, because I could see the process that MATLAB went through. Furthermore, I can definitely see a real-life application where this demo could be applied. For example, it could be really useful in arranging the trips of flights.
