/**
* Column-major map based storage sparse matrix
*
* @author liuyueming
*/
public class SparseMatrixColMajor implements SparseMatrix {
protected int rowDim;
protected int colDim;
protected double defaultValue = 0.0;
protected Map<Integer, Map<Integer, Double>> m = new HashMap<Integer, Map<Integer, Double>>();
protected String name = this.getClass().getSimpleName() + Sequence.getInstance().nextSeq();
public SparseMatrixColMajor() {}
public SparseMatrixColMajor(String name) {
this.name = name;
}
public SparseMatrixColMajor(int rowDim, int colDim) {
this.rowDim = rowDim;
this.colDim = colDim;
}
public SparseMatrixColMajor(String name, int rowDim, int colDim) {
this.name = name;
this.rowDim = rowDim;
this.colDim = colDim;
}
public SparseMatrixColMajor(int rowDim, int colDim, double defaultValue) {
this.rowDim = rowDim;
this.colDim = colDim;
this.defaultValue = defaultValue;
}
public SparseMatrixColMajor(String name, int rowDim, int colDim, double defaultValue) {
this.name = name;
this.rowDim = rowDim;
this.colDim = colDim;
this.defaultValue = defaultValue;
}
@Override
public void setColDim(int nColDim) {
this.colDim = nColDim;
}
@Override
public void setRowDim(int nRowDim) {
this.rowDim = nRowDim;
}
@Override
public int getRowDim() {
return rowDim;
}
@Override
public int getColDim() {
return colDim;
}
@Override
public void set(int row, int col, double value) {
Map<Integer, Double> aCol = m.get(col);
if (aCol == null) {
if (Math.abs(value) >= Matrix.zeroEps) {
aCol = new HashMap<Integer, Double>();
m.put(col, aCol);
aCol.put(row, value);
}
} else {
if (Math.abs(value) < Matrix.zeroEps) aCol.remove(row);
else aCol.put(row, value);
}
}
@Override
public double get(int row, int col) {
Map<Integer, Double> aCol = m.get(col);
if (aCol == null) {
return 0.0;
} else {
Double v = aCol.get(row);
if (v == null) {
return 0.0;
} else {
return v;
}
}
}
@Override
public void add(int row, int col, double value) {
set(row, col, get(row, col) + value);
}
@Override
public Map<Integer, Map<Integer, Double>> getAll() {
return m;
}
@Override
public void setAll(int nRowBase, int nColBase, Map<Integer, Map<Integer, Double>> map) {
for (Entry<Integer, Map<Integer, Double>> rowEentry : map.entrySet()) {
int nCol = rowEentry.getKey();
Map<Integer, Double> col = rowEentry.getValue();
for (Entry<Integer, Double> entry : col.entrySet()) {
int nRow = entry.getKey();
set(nRowBase + nRow, nColBase + nCol, entry.getValue());
}
}
}
@Override
public void clearAll() {
this.rowDim = 0;
this.colDim = 0;
this.defaultValue = 0.0;
// this.name = null;
for (Entry<Integer, Map<Integer, Double>> row : m.entrySet()) {
row.getValue().clear();
}
this.m.clear();
}
@Override
public void clearData() {
for (Entry<Integer, Map<Integer, Double>> row : m.entrySet()) {
row.getValue().clear();
}
this.m.clear();
}
@Override
public void mult(Vector x, Vector y) {
throw new UnsupportedOperationException();
}
@Override
public SparseMatrix trans() {
Map<Integer, Map<Integer, Double>> m2 = m;
m = new HashMap<Integer, Map<Integer, Double>>();
int dim = this.colDim;
this.colDim = this.rowDim;
this.rowDim = dim;
for (Entry<Integer, Map<Integer, Double>> col : m2.entrySet()) {
int nCol = col.getKey();
for (Entry<Integer, Double> row : col.getValue().entrySet()) {
int nRow = row.getKey();
set(nCol, nRow, row.getValue());
}
}
return this;
}
/**
* An overriding method can also return a subtype of the type returned by the overridden method.
* This is called a covariant return type.
*/
@Override
public SparseMatrixColMajor copy() {
SparseMatrixColMajor newM = new SparseMatrixColMajor(this.rowDim, this.colDim);
newM.setAll(0, 0, this.m);
return newM;
}
@Override
public void print() {
for (int i = 1; i <= rowDim; i++) {
for (int j = 1; j <= colDim; j++) {
System.out.print(String.format("%8.6f ", get(i, j)));
}
System.out.println();
}
System.out.println();
}
public String toString() {
return "SparseMatrix:" + name + "(" + this.rowDim + "," + this.colDim + "):N0C=" + m.size();
}
////////////////////////////////////////////////////
/** 返回列压缩存储方式的列索引数组，列号从0开始 */
public int[][] getRowIndex() {
int[][] rowIndex = new int[m.size()][];
// for(int c=0; c<this.colDim; c++) {
for (int c = this.colDim; --c >= 0; ) {
Map<Integer, Double> col = m.get(c + 1);
rowIndex[c] = new int[col.size()];
int r = 0;
for (Entry<Integer, Double> row : col.entrySet()) {
int nRow = row.getKey();
rowIndex[c][r] = nRow - 1;
r++;
}
}
return rowIndex;
}
@Override
public String getName() {
return name;
}
@Override
public SparseMatrix setName(String name) {
this.name = name;
return this;
}
public int getNonZeroNumber() {
int rlt = 0;
for (Entry<Integer, Map<Integer, Double>> e1 : m.entrySet()) {
rlt += e1.getValue().size();
}
return rlt;
}
/**
* Constructs and returns a new <tt>SparseVecotor</tt> view representing the row of the given
* column. The returned view is backed by this matrix, so changes in the returned view are
* reflected in this matrix, and vice-versa.
*
* @param row
*/
public SparseVectorHashMap viewCol(int col) {
SparseVectorHashMap rlt = new SparseVectorHashMap(this.rowDim, this.m.get(col), false);
return rlt;
}
/**
* Return A[:,col]*vec, where A==this, vec.length=A.getRowDim()
*
* @param vec
* @return
*/
public double multColumn(double[] vec, int col) {
Map<Integer, Double> c = m.get(col);
double rlt = 0.0;
if (c != null) {
for (Entry<Integer, Double> e : c.entrySet()) rlt += e.getValue() * vec[e.getKey() - 1];
}
return rlt;
}
/**
* Return A[:,col]*vec, where A==this, vec.length=A.getRowDim()
*
* @param vec
* @param vec Nonzero index list of vec, start form 1
* @return
*/
public double multColumn(double[] vec, List<Integer> nonzeroIndex, int col) {
double rlt = 0.0;
if (nonzeroIndex.size() == 0) return rlt;
Map<Integer, Double> c = m.get(col);
if (c != null) {
for (Integer idx : nonzeroIndex) {
Double v = c.get(idx);
if (v != null) rlt += vec[idx - 1] * v;
}
}
return rlt;
}
/**
* Write this matrix to a file with Matlab mat file format. The variable name in matlab workspace
* is specified by <tt>setName()</tt>. Default variable name is
* <tt>"SparseMatrix"+UniqueSequenceNumber</tt>.
*
* <p>If more than one matrix need to be written in a single mat file use
* <tt>MatlabMatFileWriter</tt> instead.
*
* @param fileName
*/
public void writeMatFile(String fileName) {
MatlabMatFileWriter w = new MatlabMatFileWriter();
w.addSparseMatrix(this);
w.writeFile(fileName);
}
@Override
public Iterator<MatrixEntry> iterator() {
return new SMIterator(this.m.entrySet().iterator());
}
/** Iterator over this sparse matrix. */
class SMIterator implements Iterator<MatrixEntry> {
/** Matrix cursor */
Iterator<Entry<Integer, Map<Integer, Double>>> colIter;
Iterator<Entry<Integer, Double>> rowIter;
SMIterator(Iterator<Entry<Integer, Map<Integer, Double>>> iter) {
colIter = iter;
while (colIter.hasNext()) {
Entry<Integer, Map<Integer, Double>> nextCol = colIter.next();
rowIter = nextCol.getValue().entrySet().iterator();
if (rowIter.hasNext()) {
entry.col = nextCol;
return;
}
}
}
/** Matrix entry */
final SMEntry entry = new SMEntry();
public boolean hasNext() {
if (rowIter != null && rowIter.hasNext()) return true;
else {
while (colIter.hasNext()) {
Entry<Integer, Map<Integer, Double>> nextCol = colIter.next();
rowIter = nextCol.getValue().entrySet().iterator();
if (rowIter.hasNext()) {
entry.col = nextCol;
return true;
}
}
}
return false;
}
public MatrixEntry next() {
Entry<Integer, Double> ele = null;
if (rowIter.hasNext()) {
ele = rowIter.next();
entry.eleInCol = ele;
} else if (colIter.hasNext()) {
Entry<Integer, Map<Integer, Double>> nextCol = colIter.next();
entry.col = nextCol;
rowIter = nextCol.getValue().entrySet().iterator();
ele = rowIter.next();
entry.eleInCol = ele;
}
return entry;
}
public void remove() {
rowIter.remove();
}
}
/** Matrix entry backed by the matrix. */
class SMEntry implements MatrixEntry {
private Entry<Integer, Map<Integer, Double>> col;
private Entry<Integer, Double> eleInCol;
@Override
public int getRow() {
return eleInCol.getKey();
}
@Override
public int getCol() {
return col.getKey();
}
@Override
public double getValue() {
return eleInCol.getValue();
}
@Override
public void setValue(double value) {
eleInCol.setValue(value);
}
}
@Override
public void writeSimpleFile(String fileName) {
// TODO Auto-generated method stub
}
@Override
public double apply(int row, int col) {
return this.get(row, col);
}
@Override
public void update(int row, int col, double value) {
this.set(row, col, value);
}
}