Article View: sci.math.num-analysis
Article #448<None>
From: dsimon
Date: Mon, 17 Aug 1992 22:54
Date: Mon, 17 Aug 1992 22:54
27 lines
1129 bytes
1129 bytes
> 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. One method I've used is called Hildreth's method. The reference is Luenberger, "Optimization by Vector Space Methods," Wiley, 1968, pages 299-300. It's a pretty straight-forward iterative method. ---------- Dan Simon
Technical Details
Message-ID:
<1148.2a8fbdb1@atlas.nafb.trw.com>Path:
arc1-ca.pugleaf.net!sparky!uunet!usc!venice!atlas!dsimonReferences:
<1992Aug13.163251.7738@eng.umd.edu>Show Full Headers
Complete Article Headers
Path: arc1-ca.pugleaf.net!sparky!uunet!usc!venice!atlas!dsimon From: dsimon@atlas.nafb.trw.com Newsgroups: sci.math.num-analysis Subject: <None> Message-ID: <1148.2a8fbdb1@atlas.nafb.trw.com> Date: 17 Aug 92 14:54:40 PST References: <1992Aug13.163251.7738@eng.umd.edu> Organization: TRW San Bernardino Lines: 28