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Material Detail

18.335J Introduction to Numerical Methods | Mathematics

18.335J Introduction to Numerical Methods | Mathematics

This course offers an advanced introduction to numerical linear algebra. Topics include direct and iterative methods for linear systems, eigenvalue decompositions and QR/SVD factorizations, stability and accuracy of numerical algorithms, the IEEE floating point standard, sparse and structured matrices, preconditioning, linear algebra software. Problem sets require some knowledge of MATLAB®.... Show More
Keywords:
IEEE floating point standard, structured matrices, linear algebra software, Numerical Simulation, linear systems, preconditioning, numerical linear algebra, Algorithms and Data Structures, eigenvalue decomposition, QR/SVD factorization, numerical algorithms, sparse matrices, Matlab, Linear Algebra
Disciplines:
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More about this material

Material Type:
Online Course
Date Added to MERLOT:
May 12, 2016
Date Modified in MERLOT:
May 12, 2016
Author:
Unknown (Know the author?)
Submitter:
Barbra Bied Sperling
Hispanic Serving Institution
Primary Audience:
Graduate School
Technical Format:
Website
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
No
Creative Commons:
Creative Commons License
This work is licensed under a Attribution-NonCommercial-ShareAlike 3.0 United States

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