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/*
 * (C) Copyright 2014-2016, by Dimitrios Michail
 *
 * JHeaps Library
 * 
 * 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.jheaps.monotone;

import java.io.Serializable;
import java.lang.reflect.Array;

/**
 * An addressable radix heap for (signed) integer keys. The heap stores integer
 * keys sorted according to the {@linkplain Comparable natural ordering} of its
 * keys. A radix heap is a monotone heap, especially designed for algorithms
 * (such as Dijkstra) which scan elements in order of nondecreasing keys.
 *
 * 

* The implementation uses arrays in order to store the elements. Operations * {@code insert} and {@code findMin} are worst-case constant time. The cost of * operation {@code deleteMin} is amortized O(logC) assuming the radix-heap * contains keys in the range {@literal [0, C]} or equivalently * {@literal [a,a+C]}. This implementation views integer values as signed * numbers. * *

* Note that this implementation is not synchronized. If * multiple threads access a heap concurrently, and at least one of the threads * modifies the heap structurally, it must be synchronized externally. * (A structural modification is any operation that adds or deletes one or more * elements or changing the key of some element.) This is typically accomplished * by synchronizing on some object that naturally encapsulates the heap. * * @author Dimitrios Michail * * @param * the type of values maintained by this heap * * @see Serializable */ public class IntegerRadixAddressableHeap extends AbstractRadixAddressableHeap { private final static long serialVersionUID = 1; /** * Constructs a new heap which can store values between a minimum and a * maximum key value (inclusive). * * It is important to use the smallest key range as the heap uses O(logC) * where C=maxKey-minKey+1 buckets to store elements. Moreover, the * operation {@code deleteMin} requires amortized O(logC) time. * * @param minKey * the non-negative minimum key that this heap supports * (inclusive) * @param maxKey * the maximum key that this heap supports (inclusive) * @throws IllegalArgumentException * if the minimum key is negative * @throws IllegalArgumentException * if the maximum key is less than the minimum key */ @SuppressWarnings("unchecked") public IntegerRadixAddressableHeap(int minKey, int maxKey) { super(); if (minKey < 0) { throw new IllegalArgumentException("Minimum key must be non-negative"); } this.minKey = minKey; this.lastDeletedKey = minKey; if (maxKey < minKey) { throw new IllegalArgumentException("Maximum key cannot be less than the minimum"); } this.maxKey = maxKey; // compute number of buckets int numBuckets; if (maxKey == minKey) { numBuckets = 2; } else { numBuckets = 2 + 1 + (int) Math.floor(Math.log(maxKey - minKey) / Math.log(2)); } // construct representation this.buckets = (Node[]) Array.newInstance(Node.class, numBuckets); this.size = 0; this.currentMin = null; } /** * {@inheritDoc} */ @Override protected int compare(Integer o1, Integer o2) { if (o1 < o2) { return -1; } else if (o1 > o2) { return 1; } else { return 0; } } /** * {@inheritDoc} */ @Override protected int msd(Integer a, Integer b) { /* * Value equal */ if (a.intValue() == b.intValue()) { return -1; } /* * This is a fast way to compute floor(log_2(a xor b)). */ float axorb = a ^ b; return Math.getExponent(axorb); } }





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