edu.emory.mathcs.csparsej.tfloat

Class Scs_util

java.lang.Object

edu.emory.mathcs.csparsej.tfloat.Scs_util

public class Scs_util
extends java.lang.Object

Various utilities.

Constructor Summary

Constructors

Constructor and Description
Scs_util()

Method Summary

Modifier and Type	Method and Description
static boolean	CS_CSC(Scs_common.Scs A) Returns true if A is in column-compressed form, false otherwise.
static Scs_common.Scsd	cs_dalloc(int m, int n) Allocate a Scsd object (a Sulmage-Mendelsohn decomposition).
static Scs_common.Scs	cs_spalloc(int m, int n, int nzmax, boolean values, boolean triplet) Allocate a sparse matrix (triplet form or compressed-column form).
static boolean	cs_sprealloc(Scs_common.Scs A, int nzmax) Change the max # of entries a sparse matrix can hold.
static boolean	CS_TRIPLET(Scs_common.Scs A) Returns true if A is in triplet form, false otherwise.

Methods inherited from class java.lang.Object

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

Constructor Detail

Scs_util

public Scs_util()

Method Detail

cs_spalloc

public static Scs_common.Scs cs_spalloc(int m,
                                        int n,
                                        int nzmax,
                                        boolean values,
                                        boolean triplet)

Allocate a sparse matrix (triplet form or compressed-column form).

Parameters:

m - number of rows

n - number of columns

nzmax - maximum number of entries

values - allocate pattern only if false, values and pattern otherwise

triplet - compressed-column if false, triplet form otherwise

Returns:

sparse matrix

cs_sprealloc

public static boolean cs_sprealloc(Scs_common.Scs A,
                                   int nzmax)

Change the max # of entries a sparse matrix can hold.

Parameters:

A - column-compressed matrix

nzmax - new maximum number of entries

Returns:

true if successful, false on error

cs_dalloc

public static Scs_common.Scsd cs_dalloc(int m,
                                        int n)

Allocate a Scsd object (a Sulmage-Mendelsohn decomposition).

Parameters:

m - number of rows of the matrix A to be analyzed

n - number of columns of the matrix A to be analyzed

Returns:

Sulmage-Mendelsohn decomposition

CS_CSC

public static boolean CS_CSC(Scs_common.Scs A)

Returns true if A is in column-compressed form, false otherwise.

Parameters:

A - sparse matrix

Returns:

true if A is in column-compressed form, false otherwise

CS_TRIPLET

public static boolean CS_TRIPLET(Scs_common.Scs A)

Returns true if A is in triplet form, false otherwise.

Parameters:

A - sparse matrix

Returns:

true if A is in triplet form, false otherwise