%0 Generic %1 bascd2007-poster %A Demmel, James W. %A Hida, Yozo %A Li, Xiaoye S. %A Riedy, E. Jason %A Vishvanath, Meghana %A Vu, David %C Stanford, CA %D 2007 %K bascd leastsquares %T Precise Solutions for Overdetermined Least Squares Problems %U http://purl.oclc.org/NET/jason-riedy/resume/material/bascd2007-poster.pdf %X Linear least squares (LLS) fitting is the most widely used data modeling technique and is included in almost every data analysis system (e.g. spreadsheets). These software systems often give no feedback on the conditioning of the LLS problem or the floating-point calculation errors present in the solution. With limited use of extra precision, we can eliminate these concerns for all but the most ill-conditioned LLS problems. Our algorithm provides either a solution and residual with relatively tiny error or a notice that the LLS problem is too ill-conditioned.

@misc{bascd2007-poster, abstract = {Linear least squares (LLS) fitting is the most widely used data modeling technique and is included in almost every data analysis system (e.g. spreadsheets). These software systems often give no feedback on the conditioning of the LLS problem or the floating-point calculation errors present in the solution. With limited use of extra precision, we can eliminate these concerns for all but the most ill-conditioned LLS problems. Our algorithm provides either a solution and residual with relatively tiny error or a notice that the LLS problem is too ill-conditioned.}, added-at = {2007-10-09T07:04:05.000+0200}, address = {Stanford, CA}, author = {Demmel, James W. and Hida, Yozo and Li, Xiaoye S. and Riedy, E. Jason and Vishvanath, Meghana and Vu, David}, biburl = {https://www.bibsonomy.org/bibtex/28d705a42a836ebf916e911089204dec7/ejr}, ejr-withauthor = {James W. Demmel and Yozo Hida and Xiaoye S. Li and Meghana Vishvanath and David Vu}, howpublished = {Stanford 50 -- Eighth Bay Area Scientific Computing Day}, interhash = {e5ce1c9b69b141fab63cd13fc88b3107}, intrahash = {8d705a42a836ebf916e911089204dec7}, keywords = {bascd leastsquares}, month = {March}, role = {poster}, timestamp = {2007-10-09T07:06:15.000+0200}, title = {Precise Solutions for Overdetermined Least Squares Problems}, url = {http://purl.oclc.org/NET/jason-riedy/resume/material/bascd2007-poster.pdf}, year = 2007 }