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org.ejml.sparse.triplet.MatrixFeatures_FSTL Maven / Gradle / Ivy
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A fast and easy to use dense and sparse matrix linear algebra library written in Java.
The newest version!
/*
* 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.sparse.triplet;
import javax.annotation.Generated;
import org.ejml.data.FMatrixSparseTriplet;
/**
* @author Peter Abeles
*/
@Generated("org.ejml.sparse.triplet.MatrixFeatures_DSTL")
public class MatrixFeatures_FSTL {
public static boolean isEquals(FMatrixSparseTriplet a , FMatrixSparseTriplet b ) {
if( !isSameShape(a,b) )
return false;
for (int i = 0; i < a.nz_length; i++) {
int arow = a.nz_rowcol.data[i*2];
int acol = a.nz_rowcol.data[i*2+1];
float avalue = a.nz_value.data[i];
int bindex = b.nz_index(arow, acol);
if( bindex < 0 )
return false;
float bvalue = b.nz_value.data[bindex];
if( avalue != bvalue )
return false;
}
return true;
}
public static boolean isEquals(FMatrixSparseTriplet a , FMatrixSparseTriplet b , float tol ) {
if( !isSameShape(a,b) )
return false;
for (int i = 0; i < a.nz_length; i++) {
int arow = a.nz_rowcol.data[i*2];
int acol = a.nz_rowcol.data[i*2+1];
float avalue = a.nz_value.data[i];
int bindex = b.nz_index(arow, acol);
if( bindex < 0 )
return false;
float bvalue = b.nz_value.data[bindex];
if( Math.abs(avalue-bvalue) > tol )
return false;
}
return true;
}
public static boolean isSameShape(FMatrixSparseTriplet a , FMatrixSparseTriplet b) {
return a.numRows == b.numRows && a.numCols == b.numCols && a.nz_length == b.nz_length;
}
}
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