org.ejml.data.CMatrixRMaj Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of ejml-core Show documentation
Show all versions of ejml-core Show documentation
A fast and easy to use dense and sparse matrix linear algebra library written in Java.
/*
* Copyright (c) 2020, 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 javax.annotation.Generated;
import org.ejml.UtilEjml;
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
*/
@Generated("org.ejml.data.ZMatrixRMaj")
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;
UtilEjml.checkTooLargeComplex(numRows, numCols);
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;
setTo(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);
setTo(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 ) {
UtilEjml.checkTooLargeComplex(numRows, 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 ) {
UtilEjml.checkTooLargeComplex(numRows, 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 setTo( 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 setTo( 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.printFancy(System.out, this, MatrixIO.DEFAULT_LENGTH);
}
@Override
public void print( String format ) {
MatrixIO.print(System.out, this, format);
}
/**
* 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 setTo( 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
*/
@Override
public void zero() {
Arrays.fill(data, 0, numCols*numRows*2, 0.0f);
}
@Override
public CMatrixRMaj createLike() {
return new CMatrixRMaj(numRows, numCols);
}
@Override
public CMatrixRMaj create( int numRows, int numCols ) {
return new CMatrixRMaj(numRows, numCols);
}
@Override
public MatrixType getType() {
return MatrixType.CDRM;
}
}