Difference between revisions of "User:Bmh34"
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My name is Ben Hoover. Live in Jarvis ("J-Crew!!!"). Potential BME Major. No coding experience. Hesitant to post more info. | My name is Ben Hoover. Live in Jarvis ("J-Crew!!!"). Potential BME Major. No coding experience. Hesitant to post more info. | ||
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| + | == Grand Challenge == | ||
| + | [http://www.spiegel.de/international/europe/nuclear-fusion-energy-of-the-stars-with-no-emissions-a-599211.html Nuclear Fusion: Energy of the Stars, With No Emissions], Spiegel Online, created 2 January 2009, accessed 15 September 2013 (Grand Challenge) | ||
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| + | == Matlab Demonstration == | ||
| + | The most interesting of all the Matlab demonstrations has to be "Earth's Typography". This particular example shows not only the diversity and processing power of this software, but also its application to real life. By taking only data points arranged in matrices, Matlab can run through a series of code to make the data exist on a two-dimensional map, and it can then use further data, in astoundingly few and simple lines of code, to make accurate and understandable graphs in three dimensions. While much of the code in other demonstrations went way over my head, this particular one clicked. I know I have on the screen before me a master-of-the-trade's tool of choice; maybe one day I'll understand it. | ||
Latest revision as of 03:44, 16 September 2013
Overview
My name is Ben Hoover. Live in Jarvis ("J-Crew!!!"). Potential BME Major. No coding experience. Hesitant to post more info.
Grand Challenge
Nuclear Fusion: Energy of the Stars, With No Emissions, Spiegel Online, created 2 January 2009, accessed 15 September 2013 (Grand Challenge)
Matlab Demonstration
The most interesting of all the Matlab demonstrations has to be "Earth's Typography". This particular example shows not only the diversity and processing power of this software, but also its application to real life. By taking only data points arranged in matrices, Matlab can run through a series of code to make the data exist on a two-dimensional map, and it can then use further data, in astoundingly few and simple lines of code, to make accurate and understandable graphs in three dimensions. While much of the code in other demonstrations went way over my head, this particular one clicked. I know I have on the screen before me a master-of-the-trade's tool of choice; maybe one day I'll understand it.
