private static void test02()
//****************************************************************************80
//
// Purpose:
//
// TEST02 tests ccs_HEADER_READ and ccs_DATA_READ.
//
// Licensing:
//
// This code is distributed under the GNU LGPL license.
//
// Modified:
//
// 18 July 2014
//
// Author:
//
// John Burkardt
//
{
int n = 0;
int ncc = 0;
const string prefix = "simple";
Console.WriteLine("");
Console.WriteLine("TEST02");
Console.WriteLine(" Read a sparse matrix in CCS format from 3 files.");
//
// Read the header.
//
CompressedColumnStorage.ccs_header_read(prefix, ref ncc, ref n);
//
// Allocate space.
//
double[] acc = new double[ncc];
int[] ccc = new int[n + 1];
int[] icc = new int[ncc];
//
// Read the matrix data.
//
CompressedColumnStorage.ccs_data_read(prefix, ncc, n, ref icc, ref ccc, ref acc);
//
// Print the CCS matrix.
//
int m = n;
CompressedColumnStorage.ccs_print(m, n, ncc, icc, ccc, acc, " The matrix in 0-based CCS format:");
//
// Free memory.
//
}
private static void test01()
//****************************************************************************80
//
// Purpose:
//
// TEST01 tests ccs_WRITE using a tiny matrix.
//
// Discussion:
//
// This test uses a trivial matrix whose full representation is:
//
// 2 3 0 0 0
// 3 0 4 0 6
// A = 0 -1 -3 2 0
// 0 0 1 0 0
// 0 4 2 0 1
//
// The 1-based CCS representation is
//
// # ICC CCC ACC
// -- --- --- ---
// 1 1 1 2
// 2 2 3
//
// 3 1 3 3
// 4 3 -1
// 5 5 4
//
// 6 2 6 4
// 7 3 -3
// 8 4 1
// 9 5 2
//
// 10 3 10 2
//
// 11 2 11 6
// 12 5 1
//
// 13 * 13
//
// Licensing:
//
// This code is distributed under the GNU LGPL license.
//
// Modified:
//
// 18 July 2014
//
// Author:
//
// John Burkardt
//
{
const int N = 5;
const int NCC = 12;
double[] acc =
{
2.0, 3.0,
3.0, -1.0, 4.0,
4.0, -3.0, 1.0, 2.0,
2.0,
6.0, 1.0
}
;
int[] ccc =
{
1, 3, 6, 10, 11, 13
}
;
int[] icc =
{
1, 2,
1, 3, 5,
2, 3, 4, 5,
3,
2, 5
}
;
const string prefix = "simple";
Console.WriteLine("");
Console.WriteLine("TEST01");
Console.WriteLine(" Write a sparse matrix in CCS format to 3 files.");
//
// Full storage statistics
//
Console.WriteLine("");
Console.WriteLine(" Full rows M = " + N + "");
Console.WriteLine(" Full columns N = " + N + "");
Console.WriteLine(" Full storage = " + N * N + "");
//
// Decrement the 1-based data.
//
typeMethods.i4vec_dec(N + 1, ref ccc);
typeMethods.i4vec_dec(NCC, ref icc);
//
// Print the CCS matrix.
//
CompressedColumnStorage.ccs_print(N, N, NCC, icc, ccc, acc, " The matrix in 0-based CCS format:");
//
// Write the matrix to 3 files.
//
CompressedColumnStorage.ccs_write(prefix, NCC, N, icc, ccc, acc);
}
private static void test01()
//****************************************************************************80
//
// Purpose:
//
// TEST01 tests st_to_ccs using a tiny matrix.
//
// Discussion:
//
// This test uses a trivial matrix whose full representation is:
//
// 2 3 0 0 0
// 3 0 4 0 6
// A = 0 -1 -3 2 0
// 0 0 1 0 0
// 0 4 2 0 1
//
// A (1-based) ST representation, reading in order by rows is:
//
// I J A
// -- -- --
// 1 1 2
// 1 2 3
//
// 2 1 3
// 2 3 4
// 2 5 6
//
// 3 2 -1
// 3 3 -3
// 3 4 2
//
// 4 3 1
//
// 5 2 4
// 5 3 2
// 5 5 1
//
// The CCS representation (which goes in order by columns) is
//
// # I JC A
// -- -- -- --
// 1 1 1 2
// 2 2 3
//
// 3 1 3 3
// 4 3 -1
// 5 5 4
//
// 6 2 6 4
// 7 3 -3
// 8 4 1
// 9 5 2
//
// 10 3 10 2
//
// 11 2 11 6
// 12 5 1
//
// 13 * 13
//
// Licensing:
//
// This code is distributed under the GNU LGPL license.
//
// Modified:
//
// 23 July 2014
//
// Author:
//
// John Burkardt
//
{
const int NST = 12;
double[] ast =
{
2.0, 3.0,
3.0, 4.0, 6.0,
-1.0, -3.0, 2.0,
1.0,
4.0, 2.0, 1.0
}
;
int[] ist =
{
1, 1,
2, 2, 2,
3, 3, 3,
4,
5, 5, 5
}
;
int[] jst =
{
1, 2,
1, 3, 5,
2, 3, 4,
3,
2, 3, 5
}
;
const int m = 5;
const int n = 5;
Console.WriteLine("");
Console.WriteLine("TEST01");
Console.WriteLine(" Convert a sparse matrix from ST to CCS format.");
Console.WriteLine(" ST: sparse triplet, I, J, A.");
Console.WriteLine(" CCS: compressed column, I, CC, A.");
int i_min = typeMethods.i4vec_min(NST, ist);
int i_max = typeMethods.i4vec_max(NST, ist);
int j_min = typeMethods.i4vec_min(NST, jst);
int j_max = typeMethods.i4vec_max(NST, jst);
SparseTriplet.st_header_print(i_min, i_max, j_min, j_max, m, n, NST);
//
// Decrement the 1-based data.
//
typeMethods.i4vec_dec(NST, ref ist);
typeMethods.i4vec_dec(NST, ref jst);
//
// Print the ST matrix.
//
SparseTriplet.st_print(m, n, NST, ist, jst, ast, " The matrix in ST format:");
//
// Get the CCS size.
//
int ncc = SparseTriplet.st_to_ccs_size(NST, ist, jst);
Console.WriteLine("");
Console.WriteLine(" Number of CCS values = " + ncc + "");
//
// Create the CCS indices.
//
int[] icc = new int[ncc];
int[] ccc = new int[n + 1];
SparseTriplet.st_to_ccs_index(NST, ist, jst, ncc, n, ref icc, ref ccc);
//
// Create the CCS values.
//
double[] acc = SparseTriplet.st_to_ccs_values(NST, ist, jst, ast, ncc, n, icc, ccc);
//
// Print the CCS matrix.
//
CompressedColumnStorage.ccs_print(m, n, ncc, icc, ccc, acc, " CCS Matrix:");
}
private static void test01()
//****************************************************************************80
//
// Purpose:
//
// TEST01 tests ccs_TO_ST using a 1-based matrix.
//
// Discussion:
//
// This test uses a trivial matrix whose full representation is:
//
// 2 3 0 0 0
// 3 0 4 0 6
// A = 0 -1 -3 2 0
// 0 0 1 0 0
// 0 4 2 0 1
//
// The 1-based CCS representation is
//
// # ICC CCC ACC
// -- --- --- ---
// 1 1 1 2
// 2 2 3
//
// 3 1 3 3
// 4 3 -1
// 5 5 4
//
// 6 2 6 4
// 7 3 -3
// 8 4 1
// 9 5 2
//
// 10 3 10 2
//
// 11 2 11 6
// 12 5 1
//
// 13 * 13
//
// Licensing:
//
// This code is distributed under the GNU LGPL license.
//
// Modified:
//
// 23 July 2014
//
// Author:
//
// John Burkardt
//
{
const int N = 5;
const int NCC = 12;
double[] acc =
{
2.0, 3.0,
3.0, -1.0, 4.0,
4.0, -3.0, 1.0, 2.0,
2.0,
6.0, 1.0
}
;
int[] ccc =
{
1, 3, 6, 10, 11, 13
}
;
int[] icc =
{
1, 2,
1, 3, 5,
2, 3, 4, 5,
3,
2, 5
}
;
const int m = 5;
int nst = 0;
Console.WriteLine("");
Console.WriteLine("TEST01");
Console.WriteLine(" Convert a 1-based CCS matrix to ST format.");
//
// Print the CCS matrix.
//
CompressedColumnStorage.ccs_print(m, N, NCC, icc, ccc, acc, " The CCS matrix:");
//
// Convert it.
//
int[] ist = new int[NCC];
int[] jst = new int[NCC];
double[] ast = new double[NCC];
CompressedColumnStorage.ccs_to_st(m, N, NCC, icc, ccc, acc, ref nst, ref ist, ref jst, ref ast);
//
// Print the ST matrix.
//
SparseTriplet.st_print(m, N, nst, ist, jst, ast, " The ST matrix:");
}
private static void test02()
//****************************************************************************80
//
// Purpose:
//
// TEST02 tests st_to_ccs on a matrix stored in a file.
//
// Discussion:
//
// We assume no prior knowledge about the matrix except the filename.
//
// Licensing:
//
// This code is distributed under the GNU LGPL license.
//
// Modified:
//
// 23 July 2014
//
// Author:
//
// John Burkardt
//
{
const string filename_st = "west_st.txt";
int i_max = 0;
int i_min = 0;
int j_max = 0;
int j_min = 0;
int m = 0;
int n = 0;
int nst = 0;
Console.WriteLine("");
Console.WriteLine("TEST02");
Console.WriteLine(" Convert a sparse matrix from ST to CCS format.");
Console.WriteLine(" ST: sparse triplet, I, J, A.");
Console.WriteLine(" CCS: compressed column, I, CC, A.");
Console.WriteLine(" This matrix is read from the file '" + filename_st + "'");
//
// Get the size of the ST matrix.
//
SparseTriplet.st_header_read(filename_st, ref i_min, ref i_max, ref j_min, ref j_max, ref m, ref n, ref nst);
SparseTriplet.st_header_print(i_min, i_max, j_min, j_max, m, n, nst);
//
// Allocate space.
//
int[] ist = new int[nst];
int[] jst = new int[nst];
double[] ast = new double[nst];
//
// Read the ST matrix.
//
SparseTriplet.st_data_read(filename_st, m, n, nst, ref ist, ref jst, ref ast);
//
// Decrement the 1-based data.
//
typeMethods.i4vec_dec(nst, ref ist);
typeMethods.i4vec_dec(nst, ref jst);
//
// Print the ST matrix.
//
SparseTriplet.st_print(m, n, nst, ist, jst, ast, " The matrix in ST format:");
//
// Get the CCS size.
//
int ncc = SparseTriplet.st_to_ccs_size(nst, ist, jst);
Console.WriteLine("");
Console.WriteLine(" Number of CCS values = " + ncc + "");
//
// Create the CCS indices.
//
int[] icc = new int[ncc];
int[] ccc = new int[n + 1];
SparseTriplet.st_to_ccs_index(nst, ist, jst, ncc, n, ref icc, ref ccc);
//
// Create the CCS values.
//
double[] acc = SparseTriplet.st_to_ccs_values(nst, ist, jst, ast, ncc, n, icc, ccc);
//
// Print the CCS matrix.
//
CompressedColumnStorage.ccs_print(m, n, ncc, icc, ccc, acc, " CCS Matrix:");
}