Hi, Just wondering if there are any techniques for improving DMMG convergence on a linear problem when operating in single precision?
eg using ksp example 34 in Petsc 2.3.3 with multigrid levels changed to 6... double precision: 0 KSP Residual norm 4.451733404502e-02 1 KSP Residual norm 2.801676364873e-04 2 KSP Residual norm 3.215426166316e-06 3 KSP Residual norm 5.446277176355e-08 Residual norm 5.44628e-08 Error norm 0.000356798 Error norm 9.21724e-05 Error norm 1.34208e-07 single precision: 0 KSP Residual norm 4.450287297368e-02 1 KSP Residual norm 2.799208450597e-04 2 KSP Residual norm 2.232483529951e-05 3 KSP Residual norm 1.575733222126e-05 4 KSP Residual norm 1.286925271415e-05 ... 27 KSP Residual norm 4.369261660031e-06 28 KSP Residual norm 4.287577212381e-06 29 KSP Residual norm 4.210308816255e-06 30 KSP Residual norm 2.235170904896e-05 31 KSP Residual norm 1.709007477757e-07 Residual norm 8.45584e-07 Error norm 0.000370784 Error norm 9.54664e-05 Error norm 1.38935e-07 thanks, Chris Cooper Animal Logic Animal Logic http://www.animallogic.com Please think of the environment before printing this email. This email and any attachments may be confidential and/or privileged. If you are not the intended recipient of this email, you must not disclose or use the information contained in it. Please notify the sender immediately and delete this document if you have received it in error. We do not guarantee this email is error or virus free.
