Added selection examples.
[gromacs/qmmm-gamess-us.git] / include / nrjac.h
blob8a0624851033d2f9ec4196450ecca07dcfbddf7f
1 /*
2 *
3 * This source code is part of
4 *
5 * G R O M A C S
6 *
7 * GROningen MAchine for Chemical Simulations
8 *
9 * VERSION 3.2.0
10 * Written by David van der Spoel, Erik Lindahl, Berk Hess, and others.
11 * Copyright (c) 1991-2000, University of Groningen, The Netherlands.
12 * Copyright (c) 2001-2004, The GROMACS development team,
13 * check out http://www.gromacs.org for more information.
15 * This program is free software; you can redistribute it and/or
16 * modify it under the terms of the GNU General Public License
17 * as published by the Free Software Foundation; either version 2
18 * of the License, or (at your option) any later version.
20 * If you want to redistribute modifications, please consider that
21 * scientific software is very special. Version control is crucial -
22 * bugs must be traceable. We will be happy to consider code for
23 * inclusion in the official distribution, but derived work must not
24 * be called official GROMACS. Details are found in the README & COPYING
25 * files - if they are missing, get the official version at www.gromacs.org.
27 * To help us fund GROMACS development, we humbly ask that you cite
28 * the papers on the package - you can find them in the top README file.
30 * For more info, check our website at http://www.gromacs.org
32 * And Hey:
33 * Gromacs Runs On Most of All Computer Systems
36 #ifndef _nrjac_h
37 #define _nrjac_h
39 #ifdef HAVE_CONFIG_H
40 #include <config.h>
41 #endif
43 #ifdef __cplusplus
44 extern "C" {
45 #endif
47 extern void jacobi(double **a,int n,double d[],double **v,int *nrot);
48 /*
49 * real **omega = input matrix a[0..n-1][0..n-1] must be symmetric
50 * int natoms = number of rows and columns
51 * real NULL = d[0]..d[n-1] are the eigenvalues of a[][]
52 * real **v = v[0..n-1][0..n-1] the eigenvectors:
53 * v[i][j] is component i of vector j
54 * int *irot = number of jacobi rotations
57 int m_inv_gen(real **m,int n,real **minv);
58 /* Produces minv, a generalized inverse of m.
59 * Inversion is done via diagonalization,
60 * eigenvalues smaller than 1e-6 times the average diagonal element
61 * are assumed to be zero.
62 * For zero eigenvalues 1/eigenvalue is set to zero for the inverse matrix.
63 * Returns the number of zero eigenvalues.
66 #ifdef __cplusplus
68 #endif
70 #endif