18.335J / 6.337J Introduction to Numerical Methods, Fall 2006
Name
18-335j-fall-2006.zip
Size
4.3 MB
Format
ZIP
Checksum (MD5)
338c88e37269479ea58dcd89f118efb5
Author(s)
Persson, Per-Olof
Alternative Title
Introduction to Numerical Methods
Date Issued
December 2006
Abstract
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 MATLABĀ®.
Subjects
numerical linear algebra
linear systems
eigenvalue decomposition
QR/SVD factorization
numerical algorithms
IEEE floating point standard
sparse matrices
structured matrices
preconditioning
linear algebra software
Matlab
MIT Department
Massachusetts Institute of Technology. Department of Mathematics
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Persistent DSpace Link
