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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.dense.fixed;
import org.ejml.UtilEjml;
import org.ejml.data.FMatrix5;
import org.ejml.data.FMatrix5x5;
/**
* Matrix features for fixed sized matrices which are 5 x 5 or 5 element vectors.
* DO NOT MODIFY. Automatically generated code created by GenerateFixedFeatures
*
* @author Peter Abeles
*/
public class MatrixFeatures_FDF5 {
public static boolean isIdentical(FMatrix5x5 a , FMatrix5x5 b , float tol ) {
if( !UtilEjml.isIdentical(a.a11,b.a11,tol))
return false;
if( !UtilEjml.isIdentical(a.a12,b.a12,tol))
return false;
if( !UtilEjml.isIdentical(a.a13,b.a13,tol))
return false;
if( !UtilEjml.isIdentical(a.a14,b.a14,tol))
return false;
if( !UtilEjml.isIdentical(a.a15,b.a15,tol))
return false;
if( !UtilEjml.isIdentical(a.a21,b.a21,tol))
return false;
if( !UtilEjml.isIdentical(a.a22,b.a22,tol))
return false;
if( !UtilEjml.isIdentical(a.a23,b.a23,tol))
return false;
if( !UtilEjml.isIdentical(a.a24,b.a24,tol))
return false;
if( !UtilEjml.isIdentical(a.a25,b.a25,tol))
return false;
if( !UtilEjml.isIdentical(a.a31,b.a31,tol))
return false;
if( !UtilEjml.isIdentical(a.a32,b.a32,tol))
return false;
if( !UtilEjml.isIdentical(a.a33,b.a33,tol))
return false;
if( !UtilEjml.isIdentical(a.a34,b.a34,tol))
return false;
if( !UtilEjml.isIdentical(a.a35,b.a35,tol))
return false;
if( !UtilEjml.isIdentical(a.a41,b.a41,tol))
return false;
if( !UtilEjml.isIdentical(a.a42,b.a42,tol))
return false;
if( !UtilEjml.isIdentical(a.a43,b.a43,tol))
return false;
if( !UtilEjml.isIdentical(a.a44,b.a44,tol))
return false;
if( !UtilEjml.isIdentical(a.a45,b.a45,tol))
return false;
if( !UtilEjml.isIdentical(a.a51,b.a51,tol))
return false;
if( !UtilEjml.isIdentical(a.a52,b.a52,tol))
return false;
if( !UtilEjml.isIdentical(a.a53,b.a53,tol))
return false;
if( !UtilEjml.isIdentical(a.a54,b.a54,tol))
return false;
if( !UtilEjml.isIdentical(a.a55,b.a55,tol))
return false;
return true;
}
public static boolean isIdentical(FMatrix5 a , FMatrix5 b , float tol ) {
if( !UtilEjml.isIdentical(a.a1,b.a1,tol))
return false;
if( !UtilEjml.isIdentical(a.a2,b.a2,tol))
return false;
if( !UtilEjml.isIdentical(a.a3,b.a3,tol))
return false;
if( !UtilEjml.isIdentical(a.a4,b.a4,tol))
return false;
if( !UtilEjml.isIdentical(a.a5,b.a5,tol))
return false;
return true;
}
public static boolean hasUncountable(FMatrix5x5 a ) {
if( UtilEjml.isUncountable(a.a11+ a.a12+ a.a13+ a.a14+ a.a15))
return true;
if( UtilEjml.isUncountable(a.a21+ a.a22+ a.a23+ a.a24+ a.a25))
return true;
if( UtilEjml.isUncountable(a.a31+ a.a32+ a.a33+ a.a34+ a.a35))
return true;
if( UtilEjml.isUncountable(a.a41+ a.a42+ a.a43+ a.a44+ a.a45))
return true;
if( UtilEjml.isUncountable(a.a51+ a.a52+ a.a53+ a.a54+ a.a55))
return true;
return false;
}
public static boolean hasUncountable(FMatrix5 a ) {
if( UtilEjml.isUncountable(a.a1))
return true;
if( UtilEjml.isUncountable(a.a2))
return true;
if( UtilEjml.isUncountable(a.a3))
return true;
if( UtilEjml.isUncountable(a.a4))
return true;
if( UtilEjml.isUncountable(a.a5))
return true;
return false;
}
}