home *** CD-ROM | disk | FTP | other *** search
- Newsgroups: sci.math.num-analysis
- Path: sparky!uunet!paladin.american.edu!darwin.sura.net!mojo.eng.umd.edu!dynaflow
- From: dynaflow@eng.umd.edu
- Subject: Minimization question (lin. system subject to inequality constraints)
- Message-ID: <1992Aug13.163251.7738@eng.umd.edu>
- Date: Thu, 13 Aug 92 16:32:51 GMT
- Organization: University of Maryland, College Park, College of Engineering
- Originator: dynaflow@coffee.eng.umd.edu
- Lines: 34
-
- I have the following problem, and not being familiar with
- minimization techniques, am appealing to net gurus for help
-
- I need to solve the linear system
-
- A x = b
-
- where A is an NxN matrix
- x is a N vector,
- and b another N vector,
-
- subject to the constraint that each of the x_i , i=1,..,N are
- positive.
-
- The thing to do seems to be to minimize
-
- || Ax -b|| subject to x_i > 0.
-
-
- Now the question is how. I cannot formulate the above inequality as an
- over-det system for example and use some standard SVD code.
-
- Having no idea of minimizing with inequality constraints (except some
- hazy recollection of the simplex method from my undergraduate classes)
- I am at a loss.
- Any ideas, references, pointers or code would
- be appreciated.
-
- Some more information:
- The maximum dimension N is smaller than 40.
- The ratio of the max and min. singular values of A is about 10^7.
- The matrix is symmetric and guaranteed to be positive definite.
-
- Thanks in advance
-