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| Irad Yavneh, "Why Multigrid Methods Are So Efficient," Computing in Science and Engineering, vol. 8, no. 6, pp. 12-22, November/December, 2006. | |||
| BibTex | x | ||
| @article{ 10.1109/MCSE.2006.125, author = {Irad Yavneh}, title = {Why Multigrid Methods Are So Efficient}, journal ={Computing in Science and Engineering}, volume = {8}, number = {6}, issn = {1521-9615}, year = {2006}, pages = {12-22}, doi = {http://doi.ieeecomputersociety.org/10.1109/MCSE.2006.125}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - Computing in Science and Engineering TI - Why Multigrid Methods Are So Efficient IS - 6 SN - 1521-9615 SP12 EP22 EPD - 12-22 A1 - Irad Yavneh, PY - 2006 KW - multigrid methods KW - numerical solution of partial differntial equations VL - 8 JA - Computing in Science and Engineering ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCSE.2006.125
Originally introduced as a way to numerically solve elliptic boundary-value problems, multigrid methods, and their various multiscale descendants, have since been developed and applied to various problems in many disciplines. This introductory article provides the basic concepts and methods of analysis and outlines some of the difficulties of developing efficient multigrid algorithms.
Index Terms:
multigrid methods, numerical solution of partial differntial equations
Citation:
Irad Yavneh, "Why Multigrid Methods Are So Efficient," Computing in Science and Engineering, vol. 8, no. 6, pp. 12-22, Nov.-Dec. 2006, doi:10.1109/MCSE.2006.125
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