Deques and Randomized Queues

本文探讨了两种数据结构实现:双向队列(Deque)采用双向链表确保所有操作的时间复杂度为O(1);随机队列(RandomizedQueue)通过数组实现,保证了dequeue、sample和next等操作的均摊常数时间复杂度。此外,还介绍了如何使用RandomizedQueue来实现随机选择k个元素的Permutation功能。

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Deques and Randomized Queues

Deque.java

双向队列,因为要求所有操作的复杂度为 O ( 1 ) O(1) O(1),采用双向链表进行实现。

import java.util.Iterator;
import java.util.NoSuchElementException;

public class Deque<Item> implements Iterable<Item> {
    private Node first = null;
    private Node last = null;
    private int size = 0;

    // construct an empty deque
    public Deque() {}

    // is the deque empty?
    public boolean isEmpty() {
        return first == null;
    }

    // return the number of items on the deque
    public int size() {
        return size;
    }

    // add the item to the front
    public void addFirst(Item item) {
        if (item == null) {
            throw new IllegalArgumentException();
        }
        size++;
        Node old = first;
        first = new Node();
        first.item = item;
        // 若原队列为空需要进行特殊处理
        if (old == null) {
            last = first;
            return;
        }
        first.next = old;
        old.prev = first;
    }

    // add the item to the back
    public void addLast(Item item) {
        if (item == null) {
            throw new IllegalArgumentException();
        }
        size++;
        Node old = last;
        last = new Node();
        last.item = item;
        // 若原队列为空需要进行特殊处理
        if (old == null) {
            first = last;
            return;
        }
        old.next = last;
        last.prev = old;
    }

    // remove and return the item from the front
    public Item removeFirst() {
        if (isEmpty()) {
            throw new NoSuchElementException();
        }
        Node temp = first;
        first = first.next;
        // 若移除后为空队列需要进行特殊处理
        if (first == null) {
            last = null;
        } else {
            first.prev = null;
        }
        size--;
        return temp.item;
    }

    // remove and return the item from the back
    public Item removeLast() {
        if (isEmpty()) {
            throw new NoSuchElementException();
        }
        Node temp = last;
        last = last.prev;
        // 若移除后为空队列需要进行特殊处理
        if (last == null) {
            first = null;
        } else {
            last.next = null;
        }
        size--;
        return temp.item;
    }

    // return an iterator over items in order from front to back
    public Iterator<Item> iterator() {
        return new DequeIterator();
    }

    private class Node {
        Item item;
        Node next;
        Node prev;		// 双向链表需要记录前一个节点
    }

    private class DequeIterator implements Iterator<Item> {
        private Node start = first;

        @Override
        public Item next() {
            if (!hasNext()) {
                throw new NoSuchElementException();
            }
            Item temp = start.item;
            start = start.next;
            return temp;
        }

        @Override
        public boolean hasNext() {
            return !(start == null);
        }

        @Override
        public void remove() {
            throw new UnsupportedOperationException();
        }
    }

    // unit testing (required)
    // 需要调用构造器和所有的公开方法
    public static void main(String[] args) {
        Deque<String> dq = new Deque<>();
        dq.addFirst("1");
        dq.addLast("2");
        dq.addFirst("3");
        dq.addLast("4");
        System.out.println(dq.size());
        dq.removeFirst();
        dq.removeLast();
        System.out.println(dq.isEmpty());
        Iterator<String> it = dq.iterator();
        while (it.hasNext()) {
            System.out.println(it.next());
        }
    }
}

RandomizedQueue.java

注意dequeue()、sample()、next()都是随机返回,并要求队列操作均摊成本为常数,使用数组进行实现。

import edu.princeton.cs.algs4.StdRandom;

import java.util.Iterator;
import java.util.NoSuchElementException;

public class RandomizedQueue<Item> implements Iterable<Item> {
    private int n;
    private Item[] arr;

    // construct an empty randomized queue
    public RandomizedQueue() {
        arr = (Item[]) new Object[1];
    }

    // is the randomized queue empty?
    public boolean isEmpty() {
        return n == 0;
    }

    // return the number of items on the randomized queue
    public int size() {
        return n;
    }

    // add the item
    public void enqueue(Item item) {
        if (item == null) {
            throw new IllegalArgumentException();
        }
        if (n == arr.length) {
            resize(2 * arr.length);
        }
        arr[n++] = item;
    }

    // remove and return a random item
    public Item dequeue() {
        if (isEmpty()) {
            throw new NoSuchElementException();
        }
        // 出队时将随机位置处的元素与末尾元素相调
        int random = StdRandom.uniform(n);
        Item res = arr[random];
        arr[random] = arr[--n];
        arr[n] = null;
        if (n > 0 && n == arr.length / 4) {
            resize(arr.length / 2);
        }
        return res;
    }

    // return a random item (but do not remove it)
    public Item sample() {
        if (isEmpty()) {
            throw new NoSuchElementException();
        }
        int random = StdRandom.uniform(n);
        return arr[random];
    }

    // return an independent iterator over items in random order
    public Iterator<Item> iterator() {
        return new RQIterator();
    }

    private class RQIterator implements Iterator<Item> {
        private Item[] temp = (Item[]) new Object[n];
        private int size = n;

        public RQIterator() {
            // 复制数组以保证每个iterator的随机顺序相互独立
            for (int i = 0; i < n; i++) {
                temp[i] = arr[i];
            }
        }

        @Override
        public void remove() {
            throw new UnsupportedOperationException();
        }

        @Override
        public boolean hasNext() {
            return size > 0;
        }

        @Override
        public Item next() {
            if (!hasNext()) {
                throw new NoSuchElementException();
            }
            // 将出队过的元素调换至末尾并缩减size,保证不会被再次随机到
            int random = StdRandom.uniform(size);
            Item res = temp[random];
            temp[random] = temp[--size];
            temp[size] = null;
            return res;
        }
    }

    private void resize(int size) {
        Item[] temp = (Item[]) new Object[size];
        for (int i = 0; i < n; i++) {
            temp[i] = arr[i];
        }
        arr = temp;
    }


    // unit testing (required)
    // 需要调用构造器和所有的公开方法
    public static void main(String[] args) {
        RandomizedQueue<String> rq = new RandomizedQueue<>();
        rq.enqueue("1");
        rq.enqueue("2");
        rq.enqueue("3");
        rq.enqueue("4");
        System.out.println(rq.size());
        System.out.println(rq.sample());
        rq.dequeue();
        System.out.println(rq.isEmpty());
        Iterator<String> it = rq.iterator();
        while (it.hasNext()) {
            System.out.println(it.next());
        }
    }
}

Permutation.java

输入若干个元素,要求随机输出其中的k个元素,使用RandomizedQueue实现。

import edu.princeton.cs.algs4.StdIn;

public class Permutation {
    public static void main(String[] args) {
        RandomizedQueue<String> rq = new RandomizedQueue<>();
        int k = Integer.parseInt(args[0]);
        // 实际需要读取的个数n并没有给出
        while (!StdIn.isEmpty()) {
            rq.enqueue(StdIn.readString());
        }
        for (int i = 0; i < k; i++) {
            System.out.println(rq.dequeue());
        }
    }
}
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