edu.ufl.cise.amd.tdouble
Class Damd_aat

java.lang.Object
  edu.ufl.cise.amd.tdouble.Damd
      edu.ufl.cise.amd.tdouble.Damd_internal
          edu.ufl.cise.amd.tdouble.Damd_aat

public class Damd_aat
extends Damd_internal

AMD_aat: compute the symmetry of the pattern of A, and count the number of nonzeros each column of A+A' (excluding the diagonal). Assumes the input matrix has no errors, with sorted columns and no duplicates (AMD_valid (n, n, Ap, Ai) must be AMD_OK, but this condition is not checked).

Field Summary

Fields inherited from class edu.ufl.cise.amd.tdouble.Damd_internal

EMPTY, FALSE, ID, Int_MAX, NDEBUG, NPRINT, TRUE

Fields inherited from class edu.ufl.cise.amd.tdouble.Damd

AMD_AGGRESSIVE, AMD_CONTROL, AMD_DATE, AMD_debug, AMD_DEFAULT_AGGRESSIVE, AMD_DEFAULT_DENSE, AMD_DENSE, AMD_DMAX, AMD_INFO, AMD_INVALID, AMD_LNZ, AMD_MAIN_VERSION, AMD_MEMORY, AMD_N, AMD_NCMPA, AMD_NDENSE, AMD_NDIV, AMD_NMULTSUBS_LDL, AMD_NMULTSUBS_LU, AMD_NZ, AMD_NZ_A_PLUS_AT, AMD_NZDIAG, AMD_OK, AMD_OK_BUT_JUMBLED, AMD_OUT_OF_MEMORY, AMD_STATUS, AMD_SUB_VERSION, AMD_SUBSUB_VERSION, AMD_SYMMETRY, AMD_VERSION

Constructor Summary

Damd_aat()

Method Summary

static int

amd_aat(int n, int[] Ap, int[] Ai, int[] Len, int[] Tp, double[] Info)

Methods inherited from class edu.ufl.cise.amd.tdouble.Damd_internal

AMD_DEBUG0, AMD_DEBUG1, AMD_DEBUG2, AMD_DEBUG3, AMD_DEBUG4, ASSERT, ASSERT, FLIP, IMPLIES, MAX, MAX, MIN, MIN, PRINTF, sqrt, UNFLIP

Methods inherited from class edu.ufl.cise.amd.tdouble.Damd

AMD_VERSION_CODE

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Damd_aat

public Damd_aat()

Method Detail

amd_aat

public static int amd_aat(int n,
                          int[] Ap,
                          int[] Ai,
                          int[] Len,
                          int[] Tp,
                          double[] Info)

Parameters:

n -

Ap -

Ai -

Len - Len [j]: length of column j of A+A', excl diagonal

Tp - workspace of size n

Info -

Returns: