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org.ejml.ops.ConvertDMatrixStruct Maven / Gradle / Ivy
/*
* 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.ops;
import org.ejml.data.*;
import java.util.Arrays;
/**
* Functions for converting between matrix types. Both matrices must be the same size and their values will
* be copied.
*
* @author Peter Abeles
*/
public class ConvertDMatrixStruct {
/**
* Generic, but slow, conversion function.
*
* @param input Input matrix.
* @param output Output matrix.
*/
public static void convert(DMatrix input , DMatrix output ) {
if( output instanceof ReshapeMatrix ) {
((ReshapeMatrix)output).reshape(input.getNumRows(),input.getNumCols());
} else {
if (input.getNumRows() != output.getNumRows())
throw new IllegalArgumentException("Number of rows do not match");
if (input.getNumCols() != output.getNumCols())
throw new IllegalArgumentException("Number of columns do not match");
}
for( int i = 0; i < input.getNumRows(); i++ ) {
for( int j = 0; j < input.getNumCols(); j++ ) {
output.unsafe_set(i,j,input.unsafe_get(i,j));
}
}
}
/**
* Converts {@link DMatrix2x2} into {@link DMatrixRMaj}.
*
* @param input Input matrix.
* @param output Output matrix. If null a new matrix will be declared.
* @return Converted matrix.
*/
public static DMatrixRMaj convert(DMatrix2x2 input , DMatrixRMaj output ) {
if( output == null)
output = new DMatrixRMaj(2,2);
output.reshape(input.getNumRows(),input.getNumCols());
output.data[0] = input.a11;
output.data[1] = input.a12;
output.data[2] = input.a21;
output.data[3] = input.a22;
return output;
}
/**
* Converts {@link DMatrix3x3} into {@link DMatrixRMaj}.
*
* @param input Input matrix.
* @param output Output matrix. If null a new matrix will be declared.
* @return Converted matrix.
*/
public static DMatrixRMaj convert(DMatrix3x3 input , DMatrixRMaj output ) {
if( output == null)
output = new DMatrixRMaj(3,3);
output.reshape(input.getNumRows(),input.getNumCols());
output.data[0] = input.a11;
output.data[1] = input.a12;
output.data[2] = input.a13;
output.data[3] = input.a21;
output.data[4] = input.a22;
output.data[5] = input.a23;
output.data[6] = input.a31;
output.data[7] = input.a32;
output.data[8] = input.a33;
return output;
}
/**
* Converts {@link DMatrix4x4} into {@link DMatrixRMaj}.
*
* @param input Input matrix.
* @param output Output matrix. If null a new matrix will be declared.
* @return Converted matrix.
*/
public static DMatrixRMaj convert(DMatrix4x4 input , DMatrixRMaj output ) {
if( output == null)
output = new DMatrixRMaj(4,4);
output.reshape(input.getNumRows(),input.getNumCols());
output.data[0] = input.a11;
output.data[1] = input.a12;
output.data[2] = input.a13;
output.data[3] = input.a14;
output.data[4] = input.a21;
output.data[5] = input.a22;
output.data[6] = input.a23;
output.data[7] = input.a24;
output.data[8] = input.a31;
output.data[9] = input.a32;
output.data[10] = input.a33;
output.data[11] = input.a34;
output.data[12] = input.a41;
output.data[13] = input.a42;
output.data[14] = input.a43;
output.data[15] = input.a44;
return output;
}
/**
* Converts {@link DMatrix5x5} into {@link DMatrixRMaj}.
*
* @param input Input matrix.
* @param output Output matrix. If null a new matrix will be declared.
* @return Converted matrix.
*/
public static DMatrixRMaj convert(DMatrix5x5 input , DMatrixRMaj output ) {
if( output == null)
output = new DMatrixRMaj(5,5);
output.reshape(input.getNumRows(),input.getNumCols());
output.data[0] = input.a11;
output.data[1] = input.a12;
output.data[2] = input.a13;
output.data[3] = input.a14;
output.data[4] = input.a15;
output.data[5] = input.a21;
output.data[6] = input.a22;
output.data[7] = input.a23;
output.data[8] = input.a24;
output.data[9] = input.a25;
output.data[10] = input.a31;
output.data[11] = input.a32;
output.data[12] = input.a33;
output.data[13] = input.a34;
output.data[14] = input.a35;
output.data[15] = input.a41;
output.data[16] = input.a42;
output.data[17] = input.a43;
output.data[18] = input.a44;
output.data[19] = input.a45;
output.data[20] = input.a51;
output.data[21] = input.a52;
output.data[22] = input.a53;
output.data[23] = input.a54;
output.data[24] = input.a55;
return output;
}
/**
* Converts {@link DMatrix6x6} into {@link DMatrixRMaj}.
*
* @param input Input matrix.
* @param output Output matrix. If null a new matrix will be declared.
* @return Converted matrix.
*/
public static DMatrixRMaj convert(DMatrix6x6 input , DMatrixRMaj output ) {
if( output == null)
output = new DMatrixRMaj(6,6);
output.reshape(input.getNumRows(),input.getNumCols());
output.data[0] = input.a11;
output.data[1] = input.a12;
output.data[2] = input.a13;
output.data[3] = input.a14;
output.data[4] = input.a15;
output.data[5] = input.a16;
output.data[6] = input.a21;
output.data[7] = input.a22;
output.data[8] = input.a23;
output.data[9] = input.a24;
output.data[10] = input.a25;
output.data[11] = input.a26;
output.data[12] = input.a31;
output.data[13] = input.a32;
output.data[14] = input.a33;
output.data[15] = input.a34;
output.data[16] = input.a35;
output.data[17] = input.a36;
output.data[18] = input.a41;
output.data[19] = input.a42;
output.data[20] = input.a43;
output.data[21] = input.a44;
output.data[22] = input.a45;
output.data[23] = input.a46;
output.data[24] = input.a51;
output.data[25] = input.a52;
output.data[26] = input.a53;
output.data[27] = input.a54;
output.data[28] = input.a55;
output.data[29] = input.a56;
output.data[30] = input.a61;
output.data[31] = input.a62;
output.data[32] = input.a63;
output.data[33] = input.a64;
output.data[34] = input.a65;
output.data[35] = input.a66;
return output;
}
/**
* Converts {@link DMatrixRMaj} into {@link DMatrix2x2}
*
* @param input Input matrix.
* @param output Output matrix. If null a new matrix will be declared.
* @return Converted matrix.
*/
public static DMatrix2x2 convert(DMatrixRMaj input , DMatrix2x2 output ) {
if( output == null)
output = new DMatrix2x2();
if( input.getNumRows() != output.getNumRows() )
throw new IllegalArgumentException("Number of rows do not match");
if( input.getNumCols() != output.getNumCols() )
throw new IllegalArgumentException("Number of columns do not match");
output.a11 = input.data[0];
output.a12 = input.data[1];
output.a21 = input.data[2];
output.a22 = input.data[3];
return output;
}
/**
* Converts {@link DMatrixRMaj} into {@link DMatrix3x3}
*
* @param input Input matrix.
* @param output Output matrix. If null a new matrix will be declared.
* @return Converted matrix.
*/
public static DMatrix3x3 convert(DMatrixRMaj input , DMatrix3x3 output ) {
if( output == null)
output = new DMatrix3x3();
if( input.getNumRows() != output.getNumRows() )
throw new IllegalArgumentException("Number of rows do not match");
if( input.getNumCols() != output.getNumCols() )
throw new IllegalArgumentException("Number of columns do not match");
output.a11 = input.data[0];
output.a12 = input.data[1];
output.a13 = input.data[2];
output.a21 = input.data[3];
output.a22 = input.data[4];
output.a23 = input.data[5];
output.a31 = input.data[6];
output.a32 = input.data[7];
output.a33 = input.data[8];
return output;
}
/**
* Converts {@link DMatrixRMaj} into {@link DMatrix4x4}
*
* @param input Input matrix.
* @param output Output matrix. If null a new matrix will be declared.
* @return Converted matrix.
*/
public static DMatrix4x4 convert(DMatrixRMaj input , DMatrix4x4 output ) {
if( output == null)
output = new DMatrix4x4();
if( input.getNumRows() != output.getNumRows() )
throw new IllegalArgumentException("Number of rows do not match");
if( input.getNumCols() != output.getNumCols() )
throw new IllegalArgumentException("Number of columns do not match");
output.a11 = input.data[0];
output.a12 = input.data[1];
output.a13 = input.data[2];
output.a14 = input.data[3];
output.a21 = input.data[4];
output.a22 = input.data[5];
output.a23 = input.data[6];
output.a24 = input.data[7];
output.a31 = input.data[8];
output.a32 = input.data[9];
output.a33 = input.data[10];
output.a34 = input.data[11];
output.a41 = input.data[12];
output.a42 = input.data[13];
output.a43 = input.data[14];
output.a44 = input.data[15];
return output;
}
/**
* Converts {@link DMatrixRMaj} into {@link DMatrix5x5}
*
* @param input Input matrix.
* @param output Output matrix. If null a new matrix will be declared.
* @return Converted matrix.
*/
public static DMatrix5x5 convert(DMatrixRMaj input , DMatrix5x5 output ) {
if( output == null)
output = new DMatrix5x5();
if( input.getNumRows() != output.getNumRows() )
throw new IllegalArgumentException("Number of rows do not match");
if( input.getNumCols() != output.getNumCols() )
throw new IllegalArgumentException("Number of columns do not match");
output.a11 = input.data[0];
output.a12 = input.data[1];
output.a13 = input.data[2];
output.a14 = input.data[3];
output.a15 = input.data[4];
output.a21 = input.data[5];
output.a22 = input.data[6];
output.a23 = input.data[7];
output.a24 = input.data[8];
output.a25 = input.data[9];
output.a31 = input.data[10];
output.a32 = input.data[11];
output.a33 = input.data[12];
output.a34 = input.data[13];
output.a35 = input.data[14];
output.a41 = input.data[15];
output.a42 = input.data[16];
output.a43 = input.data[17];
output.a44 = input.data[18];
output.a45 = input.data[19];
output.a51 = input.data[20];
output.a52 = input.data[21];
output.a53 = input.data[22];
output.a54 = input.data[23];
output.a55 = input.data[24];
return output;
}
/**
* Converts {@link DMatrixRMaj} into {@link DMatrix6x6}
*
* @param input Input matrix.
* @param output Output matrix. If null a new matrix will be declared.
* @return Converted matrix.
*/
public static DMatrix6x6 convert(DMatrixRMaj input , DMatrix6x6 output ) {
if( output == null)
output = new DMatrix6x6();
if( input.getNumRows() != output.getNumRows() )
throw new IllegalArgumentException("Number of rows do not match");
if( input.getNumCols() != output.getNumCols() )
throw new IllegalArgumentException("Number of columns do not match");
output.a11 = input.data[0];
output.a12 = input.data[1];
output.a13 = input.data[2];
output.a14 = input.data[3];
output.a15 = input.data[4];
output.a16 = input.data[5];
output.a21 = input.data[6];
output.a22 = input.data[7];
output.a23 = input.data[8];
output.a24 = input.data[9];
output.a25 = input.data[10];
output.a26 = input.data[11];
output.a31 = input.data[12];
output.a32 = input.data[13];
output.a33 = input.data[14];
output.a34 = input.data[15];
output.a35 = input.data[16];
output.a36 = input.data[17];
output.a41 = input.data[18];
output.a42 = input.data[19];
output.a43 = input.data[20];
output.a44 = input.data[21];
output.a45 = input.data[22];
output.a46 = input.data[23];
output.a51 = input.data[24];
output.a52 = input.data[25];
output.a53 = input.data[26];
output.a54 = input.data[27];
output.a55 = input.data[28];
output.a56 = input.data[29];
output.a61 = input.data[30];
output.a62 = input.data[31];
output.a63 = input.data[32];
output.a64 = input.data[33];
output.a65 = input.data[34];
output.a66 = input.data[35];
return output;
}
/**
* Converts {@link DMatrix2} into {@link DMatrixRMaj}.
*
* @param input Input matrix.
* @param output Output matrix. If null a new matrix will be declared.
* @return Converted matrix.
*/
public static DMatrixRMaj convert(DMatrix2 input , DMatrixRMaj output ) {
if( output == null)
output = new DMatrixRMaj(2,1);
if( output.getNumRows() != 1 && output.getNumCols() != 1 )
throw new IllegalArgumentException("One row or column must have a length of 1 for it to be a vector");
int length = Math.max(output.getNumRows(),output.getNumCols());
if( length != 2 )
throw new IllegalArgumentException("Length of input vector is not 2. It is "+length);
output.data[0] = input.a1;
output.data[1] = input.a2;
return output;
}
/**
* Converts {@link DMatrix3} into {@link DMatrixRMaj}.
*
* @param input Input matrix.
* @param output Output matrix. If null a new matrix will be declared.
* @return Converted matrix.
*/
public static DMatrixRMaj convert(DMatrix3 input , DMatrixRMaj output ) {
if( output == null)
output = new DMatrixRMaj(3,1);
if( output.getNumRows() != 1 && output.getNumCols() != 1 )
throw new IllegalArgumentException("One row or column must have a length of 1 for it to be a vector");
int length = Math.max(output.getNumRows(),output.getNumCols());
if( length != 3 )
throw new IllegalArgumentException("Length of input vector is not 3. It is "+length);
output.data[0] = input.a1;
output.data[1] = input.a2;
output.data[2] = input.a3;
return output;
}
/**
* Converts {@link DMatrix4} into {@link DMatrixRMaj}.
*
* @param input Input matrix.
* @param output Output matrix. If null a new matrix will be declared.
* @return Converted matrix.
*/
public static DMatrixRMaj convert(DMatrix4 input , DMatrixRMaj output ) {
if( output == null)
output = new DMatrixRMaj(4,1);
if( output.getNumRows() != 1 && output.getNumCols() != 1 )
throw new IllegalArgumentException("One row or column must have a length of 1 for it to be a vector");
int length = Math.max(output.getNumRows(),output.getNumCols());
if( length != 4 )
throw new IllegalArgumentException("Length of input vector is not 4. It is "+length);
output.data[0] = input.a1;
output.data[1] = input.a2;
output.data[2] = input.a3;
output.data[3] = input.a4;
return output;
}
/**
* Converts {@link DMatrix5} into {@link DMatrixRMaj}.
*
* @param input Input matrix.
* @param output Output matrix. If null a new matrix will be declared.
* @return Converted matrix.
*/
public static DMatrixRMaj convert(DMatrix5 input , DMatrixRMaj output ) {
if( output == null)
output = new DMatrixRMaj(5,1);
if( output.getNumRows() != 1 && output.getNumCols() != 1 )
throw new IllegalArgumentException("One row or column must have a length of 1 for it to be a vector");
int length = Math.max(output.getNumRows(),output.getNumCols());
if( length != 5 )
throw new IllegalArgumentException("Length of input vector is not 5. It is "+length);
output.data[0] = input.a1;
output.data[1] = input.a2;
output.data[2] = input.a3;
output.data[3] = input.a4;
output.data[4] = input.a5;
return output;
}
/**
* Converts {@link DMatrix6} into {@link DMatrixRMaj}.
*
* @param input Input matrix.
* @param output Output matrix. If null a new matrix will be declared.
* @return Converted matrix.
*/
public static DMatrixRMaj convert(DMatrix6 input , DMatrixRMaj output ) {
if( output == null)
output = new DMatrixRMaj(6,1);
if( output.getNumRows() != 1 && output.getNumCols() != 1 )
throw new IllegalArgumentException("One row or column must have a length of 1 for it to be a vector");
int length = Math.max(output.getNumRows(),output.getNumCols());
if( length != 6 )
throw new IllegalArgumentException("Length of input vector is not 6. It is "+length);
output.data[0] = input.a1;
output.data[1] = input.a2;
output.data[2] = input.a3;
output.data[3] = input.a4;
output.data[4] = input.a5;
output.data[5] = input.a6;
return output;
}
/**
* Converts {@link DMatrixRMaj} into {@link DMatrix2}
*
* @param input Input matrix.
* @param output Output matrix. If null a new matrix will be declared.
* @return Converted matrix.
*/
public static DMatrix2 convert(DMatrixRMaj input , DMatrix2 output ) {
if( output == null)
output = new DMatrix2();
if( input.getNumRows() != 1 && input.getNumCols() != 1 )
throw new IllegalArgumentException("One row or column must have a length of 1 for it to be a vector");
int length = Math.max(input.getNumRows(),input.getNumCols());
if( length != 2 )
throw new IllegalArgumentException("Length of input vector is not 2. It is "+length);
output.a1 = input.data[0];
output.a2 = input.data[1];
return output;
}
/**
* Converts {@link DMatrixRMaj} into {@link DMatrix3}
*
* @param input Input matrix.
* @param output Output matrix. If null a new matrix will be declared.
* @return Converted matrix.
*/
public static DMatrix3 convert(DMatrixRMaj input , DMatrix3 output ) {
if( output == null)
output = new DMatrix3();
if( input.getNumRows() != 1 && input.getNumCols() != 1 )
throw new IllegalArgumentException("One row or column must have a length of 1 for it to be a vector");
int length = Math.max(input.getNumRows(),input.getNumCols());
if( length != 3 )
throw new IllegalArgumentException("Length of input vector is not 3. It is "+length);
output.a1 = input.data[0];
output.a2 = input.data[1];
output.a3 = input.data[2];
return output;
}
/**
* Converts {@link DMatrixRMaj} into {@link DMatrix4}
*
* @param input Input matrix.
* @param output Output matrix. If null a new matrix will be declared.
* @return Converted matrix.
*/
public static DMatrix4 convert(DMatrixRMaj input , DMatrix4 output ) {
if( output == null)
output = new DMatrix4();
if( input.getNumRows() != 1 && input.getNumCols() != 1 )
throw new IllegalArgumentException("One row or column must have a length of 1 for it to be a vector");
int length = Math.max(input.getNumRows(),input.getNumCols());
if( length != 4 )
throw new IllegalArgumentException("Length of input vector is not 4. It is "+length);
output.a1 = input.data[0];
output.a2 = input.data[1];
output.a3 = input.data[2];
output.a4 = input.data[3];
return output;
}
/**
* Converts {@link DMatrixRMaj} into {@link DMatrix5}
*
* @param input Input matrix.
* @param output Output matrix. If null a new matrix will be declared.
* @return Converted matrix.
*/
public static DMatrix5 convert(DMatrixRMaj input , DMatrix5 output ) {
if( output == null)
output = new DMatrix5();
if( input.getNumRows() != 1 && input.getNumCols() != 1 )
throw new IllegalArgumentException("One row or column must have a length of 1 for it to be a vector");
int length = Math.max(input.getNumRows(),input.getNumCols());
if( length != 5 )
throw new IllegalArgumentException("Length of input vector is not 5. It is "+length);
output.a1 = input.data[0];
output.a2 = input.data[1];
output.a3 = input.data[2];
output.a4 = input.data[3];
output.a5 = input.data[4];
return output;
}
/**
* Converts {@link DMatrixRMaj} into {@link DMatrix6}
*
* @param input Input matrix.
* @param output Output matrix. If null a new matrix will be declared.
* @return Converted matrix.
*/
public static DMatrix6 convert(DMatrixRMaj input , DMatrix6 output ) {
if( output == null)
output = new DMatrix6();
if( input.getNumRows() != 1 && input.getNumCols() != 1 )
throw new IllegalArgumentException("One row or column must have a length of 1 for it to be a vector");
int length = Math.max(input.getNumRows(),input.getNumCols());
if( length != 6 )
throw new IllegalArgumentException("Length of input vector is not 6. It is "+length);
output.a1 = input.data[0];
output.a2 = input.data[1];
output.a3 = input.data[2];
output.a4 = input.data[3];
output.a5 = input.data[4];
output.a6 = input.data[5];
return output;
}
/**
* Converts {@link DMatrixRMaj} into {@link DMatrixRBlock}
*
* Can't handle null output matrix since block size needs to be specified.
*
* @param src Input matrix.
* @param dst Output matrix.
*/
public static void convert(DMatrixRMaj src , DMatrixRBlock dst ) {
if( src.numRows != dst.numRows || src.numCols != dst.numCols )
throw new IllegalArgumentException("Must be the same size.");
for( int i = 0; i < dst.numRows; i += dst.blockLength ) {
int blockHeight = Math.min( dst.blockLength , dst.numRows - i);
for( int j = 0; j < dst.numCols; j += dst.blockLength ) {
int blockWidth = Math.min( dst.blockLength , dst.numCols - j);
int indexDst = i*dst.numCols + blockHeight*j;
int indexSrcRow = i*dst.numCols + j;
for( int k = 0; k < blockHeight; k++ ) {
System.arraycopy(src.data,indexSrcRow,dst.data,indexDst,blockWidth);
indexDst += blockWidth;
indexSrcRow += dst.numCols;
}
}
}
}
/**
* Converts {@link DMatrixRBlock} into {@link DMatrixRMaj}
*
* @param src Input matrix.
* @param dst Output matrix. If null a new matrix will be declared.
* @return Converted matrix.
*/
public static DMatrixRMaj convert(DMatrixRBlock src , DMatrixRMaj dst ) {
if( dst != null ) {
dst.reshape(src.getNumRows(),src.getNumCols());
} else {
dst = new DMatrixRMaj(src.numRows,src.numCols);
}
for( int i = 0; i < src.numRows; i += src.blockLength ) {
int blockHeight = Math.min( src.blockLength , src.numRows - i);
for( int j = 0; j < src.numCols; j += src.blockLength ) {
int blockWidth = Math.min( src.blockLength , src.numCols - j);
int indexSrc = i*src.numCols + blockHeight*j;
int indexDstRow = i*dst.numCols + j;
for( int k = 0; k < blockHeight; k++ ) {
System.arraycopy(src.data,indexSrc,dst.data,indexDstRow,blockWidth);
indexSrc += blockWidth;
indexDstRow += dst.numCols;
}
}
}
return dst;
}
public static DMatrixSparseTriplet convert(DMatrix src , DMatrixSparseTriplet dst , double tol ) {
if( dst == null )
dst = new DMatrixSparseTriplet(src.getNumRows(), src.getNumCols(), 1);
else
dst.reshape(src.getNumRows(), src.getNumCols());
for (int row = 0; row < src.getNumRows(); row++) {
for (int col = 0; col < src.getNumCols(); col++) {
double value = src.unsafe_get(row,col);
if( Math.abs(value) > tol )
dst.addItem(row,col,value);
}
}
return dst;
}
public static DMatrixSparseTriplet convert(DMatrixRMaj src , DMatrixSparseTriplet dst , double tol ) {
if( dst == null )
dst = new DMatrixSparseTriplet(src.numRows, src.numCols,src.numRows*src.numCols);
else
dst.reshape(src.numRows, src.numCols);
int index = 0;
for (int row = 0; row < src.numRows; row++) {
for (int col = 0; col < src.numCols; col++) {
double value = src.data[index++];
if( Math.abs(value) > tol )
dst.addItem(row,col,value);
}
}
return dst;
}
public static DMatrixRMaj convert(DMatrixSparseTriplet src , DMatrixRMaj dst ) {
if( dst == null )
dst = new DMatrixRMaj(src.numRows, src.numCols);
else {
dst.reshape(src.numRows, src.numCols);
dst.zero();
}
for (int i = 0; i < src.nz_length; i++) {
int row = src.nz_rowcol.data[i*2];
int col = src.nz_rowcol.data[i*2+1];
double value = src.nz_value.data[i];
dst.unsafe_set(row, col, value);
}
return dst;
}
public static DMatrixRMaj convert(DMatrixSparseCSC src , DMatrixRMaj dst ) {
if( dst == null )
dst = new DMatrixRMaj(src.numRows, src.numCols);
else {
dst.reshape(src.numRows, src.numCols);
dst.zero();
}
int idx0 = src.col_idx[0];
for (int j = 1; j <= src.numCols; j++) {
int idx1 = src.col_idx[j];
for (int i = idx0; i < idx1; i++) {
int row = src.nz_rows[i];
double val = src.nz_values[i];
dst.unsafe_set(row,j-1, val);
}
idx0 = idx1;
}
return dst;
}
/**
*
*
* @param src Original matrix that is to be converted.
* @param dst Storage for the converted matrix. If null a new instance will be returned.
* @return The converted matrix
*/
public static DMatrixSparseCSC convert(DMatrixRMaj src , DMatrixSparseCSC dst , double tol ) {
int nonzero = 0;
int N = src.numRows*src.numCols;
for (int i = 0; i < N; i++) {
if( src.data[i] != 0 )
nonzero++;
}
if( dst == null )
dst = new DMatrixSparseCSC(src.numRows, src.numCols, nonzero);
else
dst.reshape(src.numRows, src.numCols, nonzero);
dst.nz_length = 0;
dst.col_idx[0] = 0;
for (int col = 0; col < src.numCols; col++) {
for (int row = 0; row < src.numRows; row++) {
double value = src.data[row*src.numCols+col];
if( Math.abs(value) <= tol )
continue;
dst.nz_rows[dst.nz_length] = row;
dst.nz_values[dst.nz_length] = value;
dst.nz_length += 1;
}
dst.col_idx[col+1] = dst.nz_length;
}
return dst;
}
/**
* Converts SMatrixTriplet_64 into a SMatrixCC_64.
*
* @param src Original matrix which is to be copied. Not modified.
* @param dst Destination. Will be a copy. Modified.
* @param hist Workspace. Should be at least as long as the number of columns. Can be null.
*/
public static DMatrixSparseCSC convert(DMatrixSparseTriplet src , DMatrixSparseCSC dst , int hist[] ) {
if( dst == null )
dst = new DMatrixSparseCSC(src.numRows, src.numCols , src.nz_length);
else
dst.reshape(src.numRows, src.numCols, src.nz_length);
if( hist == null )
hist = new int[ src.numCols ];
else if( hist.length >= src.numCols )
Arrays.fill(hist,0,src.numCols, 0);
else
throw new IllegalArgumentException("Length of hist must be at least numCols");
// compute the number of elements in each columns
for (int i = 0; i < src.nz_length; i++) {
hist[src.nz_rowcol.data[i*2+1]]++;
}
// define col_idx
dst.histogramToStructure(hist);
System.arraycopy(dst.col_idx,0,hist,0,dst.numCols);
// now write the row indexes and the values
for (int i = 0; i < src.nz_length; i++) {
int row = src.nz_rowcol.data[i*2];
int col = src.nz_rowcol.data[i*2+1];
double value = src.nz_value.data[i];
int index = hist[col]++;
dst.nz_rows[index] = row;
dst.nz_values[index] = value;
}
dst.indicesSorted = false;
return dst;
}
public static DMatrixSparseCSC convert(DMatrixSparseTriplet src , DMatrixSparseCSC dst ) {
return convert(src,dst,null);
}
public static DMatrixSparseTriplet convert(DMatrixSparseCSC src , DMatrixSparseTriplet dst ) {
if( dst == null )
dst = new DMatrixSparseTriplet(src.numRows, src.numCols, src.nz_length);
else
dst.reshape( src.numRows , src.numCols );
int i0 = src.col_idx[0];
for (int col = 0; col < src.numCols; col++) {
int i1 = src.col_idx[col+1];
for (int i = i0; i < i1; i++) {
int row = src.nz_rows[i];
dst.addItem(row,col, src.nz_values[i]);
}
i0 = i1;
}
return dst;
}
}
