I'm doing a relocation using hypoDD software. When I use LSQR for iteration method, everything works fine. But then I try to use SVD to enhance the quality from subset of events and the process stopped.
I have attached the command window when I run hypoDD using SVD. According to the error command, I have try to increase MAXEVE0 in hypoDD.inc into a considerable amount (about a millions).
I also try to remove/purge hypoDD in .bin, and changing MAXEVE0 parameter before reinstalling hypoDD. Those attempts still fail to solve the issue.
Can anyone give me some advices?
HOW BIG IS THE MATRIX YOU NEED TO DECOMPOSE USING SVD? MAYBE DIMENSIONS ARE TOO BIG? SVD IS VERY DEMANDING WITH THAT RESPECT.
The matrix of partial derivatives (usually referred to G,in several papers) have the size of M x 4N.
Which are, in my case, that would be M=12659 (number of double-difference observation) and N=177 (number of events).
Is this dimension too big?because it is stated in hypoDD manual (Waldhauser,2001) that SVD is able to examine about 100 events.
THERE IS ONE SIMPLE WAY TO OMMIT SUCH DIFFICULT SITUATION.
JUST TRY MATLAB IF IT WOULD BE ABLE TO SOLVE THE PROBLEM BECAUSE THE NUMBER OF ROW IS RATHER BIG.
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