| dc.contributor.author | Johnson, Steven G. | |
| dc.coverage.temporal | Fall 2010 | |
| dc.date.accessioned | 2019-08-20T19:30:37Z | |
| dc.date.available | 2019-08-20T19:30:37Z | |
| dc.date.issued | 2010-12 | |
| dc.identifier | 18.335J-Fall2010 | |
| dc.identifier.other | 18.335J | |
| dc.identifier.other | 6.337J | |
| dc.identifier.other | IMSCP-MD5-636c1ffb66552969b65e4be5eeba9381 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/122006 | |
| dc.description.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 MATLAB®. | en |
| dc.language.iso | en-US | |
| dc.relation.isbasedon | http://hdl.handle.net/1721.1/75282 | |
| dc.rights | This site (c) Massachusetts Institute of Technology 2019. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license") unless otherwise noted. The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions. | en |
| dc.rights | Attribution-NonCommercial-ShareAlike 3.0 Unported | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/ | * |
| dc.subject | numerical linear algebra | en |
| dc.subject | linear systems | en |
| dc.subject | eigenvalue decomposition | en |
| dc.subject | QR/SVD factorization | en |
| dc.subject | numerical algorithms | en |
| dc.subject | IEEE floating point standard | en |
| dc.subject | sparse matrices | en |
| dc.subject | structured matrices | en |
| dc.subject | preconditioning | en |
| dc.subject | linear algebra software | en |
| dc.subject | Matlab | en |
| dc.title | 18.335J / 6.337J Introduction to Numerical Methods, Fall 2010 | en |
| dc.title.alternative | Introduction to Numerical Methods | en |
| dc.type | Learning Object | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Mathematics | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.audience.educationlevel | Graduate | |
| dc.subject.cip | 270102 | en |
| dc.date.updated | 2019-08-20T19:30:59Z | |
