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A fast and easy to use dense and sparse matrix linear algebra library written in Java.

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/*
 * Copyright (c) 2009-2020, 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.dense.fixed;

import javax.annotation.Generated;
import org.ejml.data.FMatrix5;
import org.ejml.data.FMatrix5x5;
import org.ejml.UtilEjml;

/**
 * 

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 */ @Generated("org.ejml.dense.fixed.GenerateFixedFeatures") 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; } }




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