/*
* Copyright (C) 2011-2015, Peter Abeles. All Rights Reserved.
*
* This file is part of Geometric Regression Library (GeoRegression).
*
* 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 georegression.struct;
/**
* Describes geometric objects that are composed of N double values. Where N is the dimension
* of space the object is contained in. Points and vectors are two examples of a GeoTuple. Each
* value is the value of the object along a dimension in the space it occupies.
*
* @author Peter Abeles
*/
public abstract class GeoTuple_F64<T extends GeoTuple_F64> extends GeoTuple<T> {
/**
* Checks to see if the two GeoTuple have values which are nearly the same. False is always
* returned if the dimension is different.
*
* @param t The GeoTuple it is being compared against.
* @param tol How similar each element must be for them to be considered identical.
* @return if they are identical or not.
*/
public boolean isIdentical( T t, double tol ) {
if( t.getDimension() != getDimension() )
return false;
int N = getDimension();
for( int i = 0; i < N; i++ ) {
double diff = Math.abs( getIndex( i ) - t.getIndex( i ) );
if( diff > tol )
return false;
}
return true;
}
/**
* Generic copy routine. It is recommended that this be overridden with a faster implementation.
*
* @return An exact copy of this GeoTuple.
*/
@Override
public T copy() {
T ret = createNewInstance();
int N = getDimension();
for( int i = 0; i < N; i++ ) {
ret.setIndex( i, getIndex( i ) );
}
return ret;
}
/**
* Computes the Euclidean norm.
*
* @return norm.
*/
public double norm() {
return (float) Math.sqrt( normSq() );
}
/**
* Computes the square of the Euclidean norm.
*
* @return norm squared.
*/
public double normSq() {
double total = 0;
int N = getDimension();
for( int i = 0; i < N; i++ ) {
double a = getIndex( i );
total += a * a;
}
return total;
}
public double distance( T t ) {
return Math.sqrt( distance2( t ) );
}
public double distance2( T t ) {
if( t.getDimension() != getDimension() )
throw new IllegalArgumentException( "Dimension of input tuple does not match" );
double total = 0;
final int N = getDimension();
for( int i = 0; i < N; i++ ) {
double diff = Math.abs( getIndex( i ) - t.getIndex( i ) );
total += diff * diff;
}
return total;
}
/**
* Returns the value of the tuple along the specified coordinate system axis.
*
* @param index Which axis in the coordinate system.
* @return Its value.
*/
public abstract double getIndex( int index );
public abstract void setIndex( int index, double value );
}