From kdb*- at -*oddjob.uchicago.edu Wed Dec 7 17:18:11 1994 Received: from oddjob.uchicago.edu for kdb ":at:" oddjob.uchicago.edu by www.ccl.net (8.6.9/930601.1506) id QAA29811; Wed, 7 Dec 1994 16:43:55 -0500 Received: by oddjob.uchicago.edu Wed, 7 Dec 94 15:43:48 CST Date: Wed, 7 Dec 94 15:43:48 CST From: "Keith Ball" Message-Id: <9412072143.AA08835&$at$&oddjob.uchicago.edu> To: chemistry(+ at +)ccl.net Subject: Wanted: Fast Diagonalization Routine I am wondering if anyone knows of any references to or sources for fast algorithms or routines for diagonalization (i.e. finding the eigenvalues and eigenvectors) of a symmetric matrix. If the source codes are available, FORTRAN code would be preferable, but C would work if that's all that is available. The problem I am using this for consists of finding stationary points (specifically saddle points) on the 3*N-dimensional Cartesian potential surface for a system of N particles interacting via pairwise interactions. The matrix in question is the Hessian second-derivative matrix (symmetric, real, and non-sparse). Any references or suggestions would be greatly appreciated! Please send your responses directly by e-mail. Keith Ball Dept. of Physics Univ. of Chicago kdb |-at-| cloister.uchicago.edu