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CS 371 is intended for students interested in the computational aspects that one would encounter in solving various mathematical and scientific problems. Students are expected to be interested in
2014年5月23日 · Explain the principles of floating point number systems and the concepts of chopping, rounding, machine precision, and error of floating point arithmetic. Analyze stability and conditioning of numerical problems. Solve nonlinear equations using iterative methods and analyze convergence of various methods.
CS 279 and CS 371 cover the same general topical areas, but whereas CS 279 is a foundational lecture-based course, CS 371 is devoted primarily to reading, presentation, discussion, and critique of papers describing important recent research developments.
3.2 Gaussian Elimination 1.Definition 3.1 upper-trianglar if a ij= 0,∀i>j lower-triangular if a ij= 0∀i<j 2.Inversion Property L i can be obtained from M i by swapping the signs of the off-diagonal elements 3.Combination Property L= Q n=1 i=1 L i 4.Definition 3.2 L is
2019年7月1日 · 此連結將會以新視窗開啟 此連結將會以新視窗開啟 此連結將會以新視窗開啟 此連結將會以新視窗開啟 此連結將會以新視窗 ...
2012年2月7日 · Professor Yuying Li describes CS 370 (Numerical Computation), CS 371 (Introduction to Computational Mathematics), CS 473 (Medical Image Processing), CS 475 (Computational Linear Algebra), and CS...
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Hey Guys, I'm debating on which to take - I understand one is more application-based and one is more mathematical. I've also been told that the workloads should be pretty similar as long as you have a good math background. I think I'm leaning towards 371 but not really sure.
