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Focus Group: Computational Applied Mathematics
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Multigrid/Multilevel Methods Wavelets Fast Multipole Methods (FMM) Randomized fast algorithms for approximation of Singular Value Decomposition (SVD) of a huge matrix (e.g., 20 seconds to compute a rank-10 approximation of a matrix of size 1,000,000 x 1,000,000 on a highend laptop). Compressive Sensing
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Undergrad and Grad
-Applied Sciences
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By
Lambert Ardy
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Tags: Computational Applied Mathematics , Multigrid/Multilevel Methods , Wavelets , Fast Multipole Methods (FMM) , Randomized fast algorithms approximation Singular Value Decomposition (SVD) huge matrix (e.g. , 20 seconds compute rank-10 approximation matrix size 1 , 000 1 , 000 , 000 highend laptop). , Compressive Sensing
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History of Computing
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History of Computing People of Egypt, China and ancient Babylonia By 3000 B.C., had developed written symbols to represent numbers Performed simple arithmetic operations applied to government and business tasks Developed geometry to solve practical engineering and agricultural problems (applied mathematics) Some uses of mathematics included measuring time, straight lines, counting money, and computing taxes
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Middle
-Mathematics
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By
Justin Kane
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Tags: History Computing , People Egypt , China and ancient Babylonia , 3000 B.C. , developed written symbols represent numbers , Performed simple arithmetic operations applied government and business tasks , Developed geometry solve practical engineering and agricultural problems (applied mathematics) , uses mathematics included measuring time , straight lines , counting money , and computing taxes
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