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/*
 * 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.data.DMatrix3;
import org.ejml.data.DMatrix3x3;

/**
 * 

Matrix norm related operations for fixed sized matrices of size 3.

*

DO NOT MODIFY. Automatically generated code created by GenerateFixedNormOps

* * @author Peter Abeles */ public class NormOps_DDF3 { public static void normalizeF( DMatrix3x3 M ) { double val = normF(M); CommonOps_DDF3.divide(M,val); } public static void normalizeF( DMatrix3 M ) { double val = normF(M); CommonOps_DDF3.divide(M,val); } public static double fastNormF( DMatrix3x3 M ) { double sum = 0; sum += M.a11*M.a11 + M.a12*M.a12 + M.a13*M.a13; sum += M.a21*M.a21 + M.a22*M.a22 + M.a23*M.a23; sum += M.a31*M.a31 + M.a32*M.a32 + M.a33*M.a33; return Math.sqrt(sum); } public static double fastNormF( DMatrix3 M ) { double sum = M.a1*M.a1 + M.a2*M.a2 + M.a3*M.a3; return Math.sqrt(sum); } public static double normF( DMatrix3x3 M ) { double scale = CommonOps_DDF3.elementMaxAbs(M); if( scale == 0.0 ) return 0.0; double a11 = M.a11/scale, a12 = M.a12/scale, a13 = M.a13/scale; double a21 = M.a21/scale, a22 = M.a22/scale, a23 = M.a23/scale; double a31 = M.a31/scale, a32 = M.a32/scale, a33 = M.a33/scale; double sum = 0; sum += a11*a11 + a12*a12 + a13*a13; sum += a21*a21 + a22*a22 + a23*a23; sum += a31*a31 + a32*a32 + a33*a33; return scale * Math.sqrt(sum); } public static double normF( DMatrix3 M ) { double scale = CommonOps_DDF3.elementMaxAbs(M); if( scale == 0.0 ) return 0.0; double a1 = M.a1/scale, a2 = M.a2/scale, a3 = M.a3/scale; double sum = a1*a1 + a2*a2 + a3*a3; return scale * Math.sqrt(sum); } }




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