Regularization Tools: A MATLAB package for Analysis and Solution of Discrete Ill-Posed Problems. Version 4.1.
By means of the routines in this package, the user can experiment with different regularization strategies. The package also includes 12 test problems.
Requires Matlab Version 7.3. The manual and more details can be found at
Poorly documented. My own experience with it has been that I cannot know what matrices must I pass as arguments for these functions. For example when using l_corner I have found that you have to pass a matrix s, which I believe to be the matrix given by svd (nowhere it says whether this is right or wrong), and I always get an error because it tries to compute beta./s, with beta=U'*b, which in my case means beta is a 6x1 matrix, while s is a 6x6 matrix. How am I supposed to know how to solve this?, I'm just studying the basics of regularization!!!!!
Very essential tools
I am trying the tikhonov function and getting errors...
suppose my Ax=b
A=matrix of 11375x3
b=vector of 11375x1
I calculated svd of A using svd(A,0)
assuming x_0 is zero
and insert lambda as [10,1,1e-2]
unfortunately..I keep getting an error that
Error in tikhonov (line 66)
if (nargin==6), omega = V\x_0; omega = omega(1:p); end
I have a data vector, and a model for calculating a theoretical data vector. What variables are the data vector and model in the call? Could someone lay out what each of these are?
thanks a lot ,very convenient and powerful
sharing is good
01 Aug 2008
yuan qiangqiang
very good !
22 May 2008
praveen kumar
These are really useful & essential programs.
28 Jun 2007
leon button
ciao
10 Apr 2007
sdfasf kjdlfkalsdj
06 Mar 2007
abdel jardani
merci
23 Jul 2004
Ruslan Pechenkin
Thanks a lot, it is very useful
07 Mar 2004
Nicolas MARIE
Thank you for this very useful package.
03 Nov 2003
Valeriy Kruchko
Thank you for this job.
09 Apr 2003
Dr.Feras AL-Faqih
25 Jan 2002
Ben Fisher
Great collection of tools. It needs some time to get familiarised with all functions though the documentaion is good.
28 Nov 2001
Wlodek Tych
Excellent tool, good documentation. As with other powerful methods you have to know what you are doing.
Many thanks to the Author for writing and sharing.
21 Oct 2001
Volker Rath
Indispensable for everybody working on
inverse problems.
30 Sep 2001
Brian Borchers
This is a very useful package of tools for
the regularization of linear inverse problems. I've found this package to be very
useful both in research and in teaching a
course in inverse problems.
One minor complaint- the author
has released an updated version for MATLAB 6
which isn't on MATLAB Central yet.
Updates
modifying description
05 Dec 2002
Added screenshot
25 Feb 2008
New version for Matlab 7.3, with a number of buf fixes and new capabilities, publihsed in Numer. Algo. 46, pp 189