On Thu, 03 May 2012 19:30:35 +0200, someone wrote: > On 05/02/2012 11:45 PM, Russ P. wrote: >> On May 2, 1:29 pm, someone<newsbo...@gmail.com> wrote: >> >>>> If your data starts off with only 1 or 2 digits of accuracy, as in >>>> your example, then the result is meaningless -- the accuracy will be >>>> 2-2 digits, or 0 -- *no* digits in the answer can be trusted to be >>>> accurate. >>> >>> I just solved a FEM eigenvalue problem where the condition number of >>> the mass and stiffness matrices was something like 1e6... Result >>> looked good to me... So I don't understand what you're saying about 10 >>> = 1 or 2 digits. I think my problem was accurate enough, though I >>> don't know what error with 1e6 in condition number, I should expect. >>> How did you arrive at 1 or 2 digits for cond(A)=10, if I may ask ? >> >> As Steven pointed out earlier, it all depends on the precision you are >> dealing with. If you are just doing pure mathematical or numerical work >> with no real-world measurement error, then a condition number of 1e6 >> may be fine. But you had better be using "double precision" (64- bit) >> floating point numbers (which are the default in Python, of course). >> Those have approximately 12 digits of precision, so you are in good >> shape. Single-precision floats only have 6 or 7 digits of precision, so >> you'd be in trouble there. >> >> For any practical engineering or scientific work, I'd say that a >> condition number of 1e6 is very likely to be completely unacceptable. > > So how do you explain that the natural frequencies from FEM (with > condition number ~1e6) generally correlates really good with real > measurements (within approx. 5%), at least for the first 3-4 natural > frequencies?
I would counter your hand-waving ("correlates really good", "within approx 5%" of *what*?) with hand-waving of my own: "Sure, that's exactly what I would expect!" *wink* By the way, if I didn't say so earlier, I'll say so now: the interpretation of "how bad the condition number is" will depend on the underlying physics and/or mathematics of the situation. The interpretation of loss of digits of precision is a general rule of thumb that holds in many diverse situations, not a rule of physics that cannot be broken in this universe. If you have found a scenario where another interpretation of condition number applies, good for you. That doesn't change the fact that, under normal circumstances when trying to solve systems of linear equations, a condition number of 1e6 is likely to blow away *all* the accuracy in your measured data. (Very few physical measurements are accurate to more than six digits.) -- Steven -- http://mail.python.org/mailman/listinfo/python-list