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A fast and easy to use dense and sparse matrix linear algebra library written in Java.
/*
* Copyright (c) 2009-2018, 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;
import org.ejml.ops.MatrixIO;
import java.util.Arrays;
/**
* Dense matrix for complex numbers. Internally it stores its data in a single row-major array with the real
* and imaginary components interlaces, in that order. The total number of elements in the array will be
* numRows*numColumns*2.
*
* @author Peter Abeles
*/
public class CMatrixRMaj extends CMatrixD1 {
/**
*
* Creates a matrix with the values and shape defined by the 2D array 'data'.
* It is assumed that 'data' has a row-major formatting:
*
* data[ row ][ column ]
*
* @param data 2D array representation of the matrix. Not modified.
*/
public CMatrixRMaj(float data[][] ) {
this.numRows = data.length;
this.numCols = data[0].length/2;
this.data = new float[ numRows * numCols * 2 ];
for (int i = 0; i < numRows; i++) {
float[] row = data[i];
if( row.length != numCols*2 )
throw new IllegalArgumentException("Unexpected row size in input data at row "+i);
System.arraycopy(row,0,this.data,i*numCols*2,row.length);
}
}
public CMatrixRMaj(int numRows, int numCols, boolean rowMajor, float... data) {
if( data.length != numRows*numCols*2 )
throw new RuntimeException("Unexpected length for data");
this.data = new float[ numRows * numCols * 2 ];
this.numRows = numRows;
this.numCols = numCols;
set(numRows,numCols, rowMajor, data);
}
/**
* Creates a new {@link CMatrixRMaj} which is a copy of the passed in matrix.
* @param original Matrix which is to be copied
*/
public CMatrixRMaj(CMatrixRMaj original) {
this(original.numRows, original.numCols);
set(original);
}
/**
* Creates a new matrix with the specified number of rows and columns
*
* @param numRows number of rows
* @param numCols number of columns
*/
public CMatrixRMaj(int numRows, int numCols) {
this.numRows = numRows;
this.numCols = numCols;
this.data = new float[numRows*numCols*2];
}
@Override
public int getIndex(int row, int col) {
return row*numCols*2 + col*2;
}
@Override
public void reshape( int numRows , int numCols ) {
int newLength = numRows*numCols*2;
if( newLength > data.length ) {
data = new float[newLength];
}
this.numRows = numRows;
this.numCols = numCols;
}
@Override
public void get(int row, int col, Complex_F32 output) {
int index = row*numCols*2 + col*2;
output.real = data[index];
output.imaginary = data[index+1];
}
@Override
public void set(int row, int col, float real, float imaginary) {
int index = row*numCols*2 + col*2;
data[index] = real;
data[index+1] = imaginary;
}
public float getReal( int element ) {
return data[element*2];
}
public float getImag( int element ) {
return data[element*2+1];
}
@Override
public float getReal(int row, int col) {
return data[(row*numCols + col)*2];
}
@Override
public void setReal(int row, int col, float val) {
data[(row*numCols + col)*2] = val;
}
@Override
public float getImag(int row, int col) {
return data[(row*numCols + col)*2 + 1];
}
@Override
public void setImag(int row, int col, float val) {
data[(row*numCols + col)*2 + 1] = val;
}
@Override
public int getDataLength() {
return numRows*numCols*2;
}
public void set( CMatrixRMaj original ) {
reshape(original.numRows,original.numCols);
int columnSize = numCols*2;
for (int y = 0; y < numRows; y++) {
int index = y*numCols*2;
System.arraycopy(original.data,index,data,index,columnSize);
}
}
@Override
public CMatrixRMaj copy() {
return new CMatrixRMaj(this);
}
@Override
public void set(Matrix original) {
reshape(original.getNumRows(),original.getNumCols());
CMatrix n = (CMatrix)original;
Complex_F32 c = new Complex_F32();
for (int i = 0; i < numRows; i++) {
for (int j = 0; j < numCols; j++) {
n.get(i,j,c);
set(i,j,c.real,c.imaginary);
}
}
}
@Override
public void print() {
MatrixIO.print(System.out, this);
}
/**
* Number of array elements in the matrix's row.
*/
public int getRowStride() {
return numCols*2;
}
/**
* Sets this matrix equal to the matrix encoded in the array.
*
* @param numRows The number of rows.
* @param numCols The number of columns.
* @param rowMajor If the array is encoded in a row-major or a column-major format.
* @param data The formatted 1D array. Not modified.
*/
public void set(int numRows, int numCols, boolean rowMajor, float ...data)
{
reshape(numRows,numCols);
int length = numRows*numCols*2;
if( length > data.length )
throw new RuntimeException("Passed in array not long enough");
if( rowMajor ) {
System.arraycopy(data,0,this.data,0,length);
} else {
int index = 0;
int stride = numRows*2;
for( int i = 0; i < numRows; i++ ) {
for( int j = 0; j < numCols; j++ ) {
this.data[index++] = data[j*stride+i*2];
this.data[index++] = data[j*stride+i*2+1];
}
}
}
}
/**
* Sets all the elements in the matrix to zero
*/
public void zero() {
Arrays.fill(data, 0, numCols*numRows*2, 0.0f);
}
@Override
public T createLike() {
return (T)new CMatrixRMaj(numRows,numCols);
}
@Override
public MatrixType getType() {
return MatrixType.CDRM;
}
}