Cloned SEACAS for EXODUS library with extra build files for internal package management.
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/*
* Copyright(C) 1999-2020, 2022, 2023 National Technology & Engineering Solutions
* of Sandia, LLC (NTESS). Under the terms of Contract DE-NA0003525 with
* NTESS, the U.S. Government retains certain rights in this software.
*
* See packages/seacas/LICENSE for details
*/
#include "defs.h"
#include "params.h"
#include "smalloc.h"
#include "structs.h"
#include <math.h>
#include <stdio.h>
/* Invoke the eigenvector calculation */
void eigensolve(struct vtx_data **graph, /* graph data structure */
int nvtxs, /* number of vertices in graph */
int nedges, /* number of edges in graph */
double maxdeg, /* largest (weighted) degree of a vertex */
int vwgt_max, /* largest vertex weight */
double *vwsqrt, /* sqrt of vertex weights (length nvtxs+1) */
int using_vwgts, /* are vertex weights being used? */
int using_ewgts, /* are edge weights being used? */
float *term_wgts[], /* terminal propagation weight vector */
int igeom, /* geometric dimensionality if given coords */
float **coords, /* coordinates of vertices */
double **yvecs, /* space for pointing to eigenvectors */
double *evals, /* eigenvalues associated with eigenvectors */
int architecture, /* 0 => hypercube, d => d-dimensional mesh */
int *assignment, /* set number of each vtx (length n+1) */
double *goal, /* desired set sizes */
int solver_flag, /* flag indicating which solver to use */
int rqi_flag, /* use multi-level techniques? */
int vmax, /* if so, how many vtxs to coarsen down to? */
int ndims, /* number of eigenvectors (2^d sets) */
int mediantype, /* which partitioning strategy to use */
double eigtol /* tolerance on eigenvectors */
)
{
extern int DEBUG_TRACE; /* trace the execution of the code */
extern int DEBUG_EVECS; /* debug flag for eigenvector generation */
extern int DEBUG_PERTURB; /* debug flag for matrix perturbation */
extern int PERTURB; /* randomly perturb to break symmetry? */
extern int NPERTURB; /* number of edges to perturb */
extern double PERTURB_MAX; /* maximum size of perturbation */
extern int COARSE_NLEVEL_RQI; /* do RQI this often in uncoarsening */
extern int LANCZOS_CONVERGENCE_MODE; /* how to stop Lanczos? */
extern double lanczos_time; /* time spent in Lanczos algorithm */
extern double rqi_symmlq_time; /* time spent in RQI/Symmlq method */
extern int WARNING_EVECS; /* print warning messages? */
extern int LANCZOS_SO_PRECISION; /* controls precision in eigen calc. */
extern double SRESTOL; /* resid tol for T evec computation */
extern int LANCZOS_MAXITNS; /* maximum Lanczos iterations allowed */
extern int EXPERT; /* user type */
double bound[MAXDIMS + 1]; /* ritz approx bounds to eigenpairs */
double time; /* time marker */
float *dummy_twgt[2]; /* turns off terminal propagation */
float *twptr; /* terminal propagation weight vector */
int *active; /* space for nvtxs values */
int step; /* current step in RQI counting */
int nstep; /* number of uncoarsening levels between RQIs */
int version; /* which version of sel. orth. to use */
int nsets = 0; /* number of sets to divide into */
double *g; /* rhs n-vector in the extended eigenproblem */
double *ptr; /* loops through yvec */
double w1, w2; /* desired weights of two sets */
double term_tot; /* sum of terminal weights */
double sigma; /* norm constraint on extended eigenvector */
int i, j; /* loop counter */
int normal; /* use normal or extended eigensolver? */
int autoset_maxitns; /* set LANCZOS_MAXITNS automatically? */
int prev_maxitns = 0; /* LANCZOS_MAXITNS value above this routine */
int autoset_srestol; /* set SRESTOL automatically? */
double prev_srestol = 0; /* SRESTOL value above this routine */
if (DEBUG_TRACE > 0) {
printf("<Entering eigensolve, nvtxs = %d, nedges = %d>\n", nvtxs, nedges);
}
if (nvtxs <= ndims) { /* Pathological special case. */
for (i = 1; i <= ndims; i++) {
for (j = 1; j <= nvtxs; j++) {
yvecs[i][j] = 0;
}
}
return;
}
active = NULL;
/* Autoset (if necessary) some parameters for the eigen calculation */
autoset_maxitns = FALSE;
autoset_srestol = FALSE;
if (LANCZOS_MAXITNS < 0) {
autoset_maxitns = TRUE;
prev_maxitns = LANCZOS_MAXITNS;
LANCZOS_MAXITNS = 2 * nvtxs;
}
if (SRESTOL < 0) {
autoset_srestol = TRUE;
prev_srestol = SRESTOL;
SRESTOL = eigtol * eigtol;
}
/* Note: When (if ever) rqi_ext is done, change precedence of eigensolvers. */
if (term_wgts[1] != NULL && ndims == 1) { /* then use lanczos_ext */
if (PERTURB) {
if (NPERTURB > 0 && PERTURB_MAX > 0.0) {
perturb_init(nvtxs);
if (DEBUG_PERTURB > 0) {
printf("Matrix being perturbed with scale %e\n", PERTURB_MAX);
}
}
else if (DEBUG_PERTURB > 0) {
printf("Matrix not being perturbed\n");
}
}
version = 2;
if (LANCZOS_CONVERGENCE_MODE == 1) {
active = smalloc(nvtxs * sizeof(int));
}
w1 = goal[0];
w2 = goal[1];
sigma = sqrt(4 * w1 * w2 / (w1 + w2));
g = smalloc((nvtxs + 1) * sizeof(double));
twptr = term_wgts[1];
term_tot = 0;
for (i = 1; i <= nvtxs; i++) {
term_tot += twptr[i];
}
term_tot /= (w1 + w2);
if (using_vwgts) {
for (i = 1; i <= nvtxs; i++) {
g[i] = twptr[i] / graph[i]->vwgt - term_tot;
}
}
else {
for (i = 1; i <= nvtxs; i++) {
g[i] = twptr[i] - term_tot;
}
}
time = seconds();
if (LANCZOS_SO_PRECISION == 2) { /* double precision */
normal = lanczos_ext(graph, nvtxs, ndims, yvecs, eigtol, vwsqrt, maxdeg, version, g, sigma);
}
else { /* single precision */
normal =
lanczos_ext_float(graph, nvtxs, ndims, yvecs, eigtol, vwsqrt, maxdeg, version, g, sigma);
}
sfree(g);
if (active != NULL) {
sfree(active);
}
active = NULL;
if (normal) {
if (WARNING_EVECS > 2) {
strout("WARNING: Not an extended eigenproblem; switching to standard eigensolver.\n");
}
}
else {
if (w2 != w1) {
if (using_vwgts) {
y2x(yvecs, ndims, nvtxs, vwsqrt);
}
sigma = (w2 - w1) / (w2 + w1);
ptr = yvecs[1];
for (i = nvtxs; i; i--) {
*(++ptr) += sigma;
}
/* Note: if assign() could skip scaling, next call unnecessary. */
if (using_vwgts) {
x2y(yvecs, ndims, nvtxs, vwsqrt);
}
}
}
if (PERTURB && NPERTURB > 0 && PERTURB_MAX > 0.0) {
perturb_clear();
}
lanczos_time += seconds() - time;
}
else {
normal = TRUE;
}
if (normal) {
if (rqi_flag) {
/* Solve using multi-level scheme RQI/Symmlq. */
time = seconds();
nstep = COARSE_NLEVEL_RQI;
step = 0;
dummy_twgt[1] = NULL;
coarsen(graph, nvtxs, nedges, using_vwgts, using_ewgts, dummy_twgt, igeom, coords, yvecs,
ndims, solver_flag, vmax, eigtol, nstep, step, FALSE);
rqi_symmlq_time += seconds() - time;
}
else { /* Use standard Lanczos. */
if (PERTURB) {
if (NPERTURB > 0 && PERTURB_MAX > 0.0) {
perturb_init(nvtxs);
if (DEBUG_PERTURB > 0) {
printf("Matrix being perturbed with scale %e\n", PERTURB_MAX);
}
}
else if (DEBUG_PERTURB > 0) {
printf("Matrix not being perturbed\n");
}
}
if (solver_flag == 1) {
time = seconds();
version = 1;
lanczos_FO(graph, nvtxs, ndims, yvecs, evals, bound, eigtol, vwsqrt, maxdeg, version);
lanczos_time += seconds() - time;
}
if (solver_flag == 2) {
time = seconds();
version = 2;
lanczos_FO(graph, nvtxs, ndims, yvecs, evals, bound, eigtol, vwsqrt, maxdeg, version);
lanczos_time += seconds() - time;
}
else if (solver_flag == 3) {
version = 2; /* orthog. against left end only */
if (LANCZOS_CONVERGENCE_MODE == 1) {
active = smalloc(nvtxs * sizeof(int));
}
nsets = 1 << ndims;
time = seconds();
if (LANCZOS_SO_PRECISION == 2) { /* double precision */
lanczos_SO(graph, nvtxs, ndims, yvecs, evals, bound, eigtol, vwsqrt, maxdeg, version,
architecture, nsets, assignment, active, mediantype, goal, vwgt_max);
}
else { /* single precision */
lanczos_SO_float(graph, nvtxs, ndims, yvecs, evals, bound, eigtol, vwsqrt, maxdeg,
version, architecture, nsets, assignment, active, mediantype, goal,
vwgt_max);
}
lanczos_time += seconds() - time;
}
else if (solver_flag == 4) {
if (EXPERT) {
version = 1; /* orthog. against both ends */
}
else {
/* this should have been caught earlier ... */
version = 2;
}
if (LANCZOS_CONVERGENCE_MODE == 1) {
active = smalloc(nvtxs * sizeof(int));
}
nsets = 1 << ndims;
time = seconds();
if (LANCZOS_SO_PRECISION == 1) { /* Single precision */
lanczos_SO_float(graph, nvtxs, ndims, yvecs, evals, bound, eigtol, vwsqrt, maxdeg,
version, architecture, nsets, assignment, active, mediantype, goal,
vwgt_max);
}
else { /* Double precision */
lanczos_SO(graph, nvtxs, ndims, yvecs, evals, bound, eigtol, vwsqrt, maxdeg, version,
architecture, nsets, assignment, active, mediantype, goal, vwgt_max);
}
lanczos_time += seconds() - time;
}
}
/*
file = fopen("CHACO.EVECS", "w");
for (i = 1; i <= nvtxs; i++) {
for (j = 1; j <= ndims; j++) {
fprintf(file, "%g ", (yvecs[j])[i]);
}
fprintf(file, "\n");
}
fclose(file);
*/
if (PERTURB && NPERTURB > 0 && PERTURB_MAX > 0.0) {
perturb_clear();
}
}
/* This is an attempt to reduce some machine-to-machine
* variance. If the first value in the eigenvector is negative,
* reflect the eigenvector... This may not be needed following
* the addition of the standard random number generator in util/random.c
*/
for (nstep = 1; nstep <= ndims; nstep++) {
vecnorm(yvecs[nstep], 1, nvtxs);
}
if (DEBUG_EVECS > 4) {
for (nstep = 1; nstep <= ndims; nstep++) {
vecout(yvecs[nstep], 1, nvtxs, "Eigenvector", NULL);
}
}
/* Auto-reset (if necessary) some parameters for the eigen calculation */
if (autoset_maxitns) {
LANCZOS_MAXITNS = prev_maxitns;
}
if (autoset_srestol) {
SRESTOL = prev_srestol;
}
if (active != NULL) {
sfree(active);
}
if (DEBUG_TRACE > 1) {
printf("<Leaving eigensolve>\n");
}
}