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A fast and easy to use dense and sparse matrix linear algebra library written in Java.
/*
* Copyright (c) 2009-2017, Peter Abeles. All Rights Reserved.
*
* This file is part of Efficient Java Matrix Library (EJML).
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.ejml.data;
/**
* TODO describe
*
* @author Peter Abeles
*/
public class FMatrixSparseTriplet implements FMatrixSparse
{
public Element[] nz_data = new Element[0];
public int nz_length;
public int numRows;
public int numCols;
public FMatrixSparseTriplet() {
}
/**
*
* @param numRows Number of rows in the matrix
* @param numCols Number of columns in the matrix
* @param initLength Initial maximum length of data array.
*/
public FMatrixSparseTriplet(int numRows, int numCols, int initLength ) {
growData(initLength);
this.numRows = numRows;
this.numCols = numCols;
}
public FMatrixSparseTriplet(FMatrixSparseTriplet orig ) {
set(orig);
}
public void reset() {
nz_length = 0;
numRows = 0;
numCols = 0;
}
public void reshape( int numRows , int numCols ) {
this.numRows = numRows;
this.numCols = numCols;
this.nz_length = 0;
}
@Override
public void reshape(int numRows, int numCols, int arrayLength) {
reshape(numRows, numCols);
growData(arrayLength);
}
public void addItem(int row , int col , float value ) {
if( nz_length == nz_data.length ) {
growData(( nz_length *2 + 10 ));
}
nz_data[nz_length++].set(row,col, value);
}
@Override
public void set( int row , int col , float value ) {
if( row < 0 || row >= numRows || col < 0 || col >= numCols )
throw new IllegalArgumentException("Outside of matrix bounds");
unsafe_set(row,col,value);
}
@Override
public void unsafe_set(int row, int col, float value) {
int index = nz_index(row,col);
if( index < 0 )
addItem( row,col,value);
else
nz_data[index].value = value;
}
@Override
public int getNumElements() {
return nz_length;
}
@Override
public float get( int row , int col ) {
if( row < 0 || row >= numRows || col < 0 || col >= numCols )
throw new IllegalArgumentException("Outside of matrix bounds");
return unsafe_get(row,col);
}
@Override
public float unsafe_get(int row, int col) {
int index = nz_index(row,col);
if( index < 0 )
return 0;
else
return nz_data[index].value;
}
public int nz_index(int row , int col ) {
for (int i = 0; i < nz_length; i++) {
Element e = nz_data[i];
if( e.row == row && e.col == col )
return i;
}
return -1;
}
/**
* Will resize the array and keep all the old data
* @param max_nz_length New maximum length of data
*/
public void growData( int max_nz_length ) {
if( nz_data.length < max_nz_length ) {
Element[] tmp = new Element[max_nz_length];
System.arraycopy(nz_data,0,tmp,0, nz_data.length);
for (int i = nz_data.length; i < max_nz_length; i++) {
tmp[i] = new Element();
}
nz_data = tmp;
}
}
public int getLength() {
return nz_length;
}
@Override
public int getNumRows() {
return numRows;
}
@Override
public int getNumCols() {
return numCols;
}
@Override
public T copy() {
return (T)new FMatrixSparseTriplet(this);
}
@Override
public T createLike() {
return (T)new FMatrixSparseTriplet(numRows,numCols, nz_length);
}
@Override
public void set(Matrix original) {
FMatrixSparseTriplet orig = (FMatrixSparseTriplet)original;
reshape(orig.numRows,orig.numCols);
growData(orig.nz_length);
this.nz_length = orig.nz_length;
for (int i = 0; i < nz_length; i++) {
nz_data[i].set(orig.nz_data[i]);
}
}
@Override
public void shrinkArrays() {
if( nz_length < nz_data.length ) {
Element tmp_data[] = new Element[nz_length];
System.arraycopy(this.nz_data,0,tmp_data,0,nz_length);
this.nz_data = tmp_data;
}
}
@Override
public void remove(int row, int col) {
int where = nz_index(row,col);
if( where >= 0 ) {
Element e = nz_data[where];
nz_length -= 1;
for (int i = where; i < nz_length; i++) {
nz_data[i] = nz_data[i+1];
}
nz_data[nz_length] = e;
}
}
@Override
public boolean isAssigned(int row, int col) {
return nz_index(row,col) >= 0;
}
@Override
public void zero() {
nz_length = 0;
}
@Override
public void print() {
System.out.println(getClass().getSimpleName()+"\n , numRows = "+numRows+" , numCols = "+numCols
+" , nz_length = "+ nz_length);
for (int row = 0; row < numRows; row++) {
for (int col = 0; col < numCols; col++) {
int index = nz_index(row,col);
if( index >= 0 )
System.out.printf("%6.3ff",nz_data[index].value);
else
System.out.print(" * ");
if( col != numCols-1 )
System.out.print(" ");
}
System.out.println();
}
}
@Override
public void printNonZero() {
System.out.println(getClass().getSimpleName()+"\n , numRows = "+numRows+" , numCols = "+numCols
+" , nz_length = "+ nz_length);
for (int i = 0; i < nz_length; i++) {
Element e = nz_data[i];
System.out.printf("%d %d %f\n",e.row,e.col,e.value);
}
}
public static class Element {
public int row,col;
public float value;
public void set( int row , int col , float value ) {
this.row = row;
this.col = col;
this.value = value;
}
public void set( Element e ) {
row = e.row;
col = e.col;
value = e.value;
}
}
@Override
public MatrixType getType() {
return MatrixType.UNSPECIFIED;
}
}