package algorithms.ADT;

 /******************************************************************************
* Compilation: javac FixedCapacityStackOfStrings.java
* Execution: java FixedCapacityStackOfStrings
* Dependencies: StdIn.java StdOut.java
*
* Stack of strings implementation with a fixed-size array.
*
* % more tobe.txt
* to be or not to - be - - that - - - is
*
* % java FixedCapacityStackOfStrings 5 < tobe.txt
* to be not that or be
*
* Remark: bare-bones implementation. Does not do repeated
* doubling or null out empty array entries to avoid loitering.
*
******************************************************************************/ import java.util.Iterator;
import java.util.NoSuchElementException; import algorithms.util.StdIn;
import algorithms.util.StdOut; public class FixedCapacityStackOfStrings implements Iterable<String> {
private String[] a; // holds the items
private int N; // number of items in stack // create an empty stack with given capacity
public FixedCapacityStackOfStrings(int capacity) {
a = new String[capacity];
N = 0;
} public boolean isEmpty() { return N == 0; }
public boolean isFull() { return N == a.length; }
public void push(String item) { a[N++] = item; }
public String pop() { return a[--N]; }
public String peek() { return a[N-1]; }
public Iterator<String> iterator() { return new ReverseArrayIterator(); } public class ReverseArrayIterator implements Iterator<String> {
private int i = N-1; public boolean hasNext() {
return i >= 0;
} public String next() {
if (!hasNext()) throw new NoSuchElementException();
return a[i--];
} public void remove() {
throw new UnsupportedOperationException();
}
} public static void main(String[] args) {
int max = Integer.parseInt(args[0]);
FixedCapacityStackOfStrings stack = new FixedCapacityStackOfStrings(max);
while (!StdIn.isEmpty()) {
String item = StdIn.readString();
if (!item.equals("-")) stack.push(item);
else if (stack.isEmpty()) StdOut.println("BAD INPUT");
else StdOut.print(stack.pop() + " ");
}
StdOut.println(); // print what's left on the stack
StdOut.print("Left on stack: ");
for (String s : stack) {
StdOut.print(s + " ");
}
StdOut.println();
}
}

用泛型的

 package algorithms.ADT;

 /******************************************************************************
* Compilation: javac FixedCapacityStack.java
* Execution: java FixedCapacityStack
* Dependencies: StdIn.java StdOut.java
*
* Generic stack implementation with a fixed-size array.
*
* % more tobe.txt
* to be or not to - be - - that - - - is
*
* % java FixedCapacityStack 5 < tobe.txt
* to be not that or be
*
* Remark: bare-bones implementation. Does not do repeated
* doubling or null out empty array entries to avoid loitering.
*
******************************************************************************/ import java.util.Iterator;
import java.util.NoSuchElementException; import algorithms.util.StdIn;
import algorithms.util.StdOut; public class FixedCapacityStack<Item> implements Iterable<Item> {
private Item[] a; // holds the items
private int N; // number of items in stack // create an empty stack with given capacity
public FixedCapacityStack(int capacity) {
a = (Item[]) new Object[capacity]; // no generic array creation
N = 0;
} public boolean isEmpty() { return N == 0; }
public void push(Item item) { a[N++] = item; }
public Item pop() { return a[--N]; }
public Iterator<Item> iterator() { return new ReverseArrayIterator(); } public class ReverseArrayIterator implements Iterator<Item> {
private int i = N-1; public boolean hasNext() {
return i >= 0;
} public Item next() {
if (!hasNext()) throw new NoSuchElementException();
return a[i--];
} public void remove() {
throw new UnsupportedOperationException();
}
} public static void main(String[] args) {
int max = Integer.parseInt(args[0]);
FixedCapacityStack<String> stack = new FixedCapacityStack<String>(max);
while (!StdIn.isEmpty()) {
String item = StdIn.readString();
if (!item.equals("-")) stack.push(item);
else if (stack.isEmpty()) StdOut.println("BAD INPUT");
else StdOut.print(stack.pop() + " ");
}
StdOut.println(); // print what's left on the stack
StdOut.print("Left on stack: ");
for (String s : stack) {
StdOut.print(s + " ");
}
StdOut.println();
}
}

可变大小的

 package algorithms.ADT;

 /******************************************************************************
* Compilation: javac ResizingArrayStack.java
* Execution: java ResizingArrayStack < input.txt
* Dependencies: StdIn.java StdOut.java
* Data files: http://algs4.cs.princeton.edu/13stacks/tobe.txt
*
* Stack implementation with a resizing array.
*
* % more tobe.txt
* to be or not to - be - - that - - - is
*
* % java ResizingArrayStack < tobe.txt
* to be not that or be (2 left on stack)
*
******************************************************************************/ import java.util.Iterator;
import java.util.NoSuchElementException; import algorithms.util.StdIn;
import algorithms.util.StdOut; /**
* The <tt>ResizingArrayStack</tt> class represents a last-in-first-out (LIFO) stack
* of generic items.
* It supports the usual <em>push</em> and <em>pop</em> operations, along with methods
* for peeking at the top item, testing if the stack is empty, and iterating through
* the items in LIFO order.
* <p>
* This implementation uses a resizing array, which double the underlying array
* when it is full and halves the underlying array when it is one-quarter full.
* The <em>push</em> and <em>pop</em> operations take constant amortized time.
* The <em>size</em>, <em>peek</em>, and <em>is-empty</em> operations takes
* constant time in the worst case.
* <p>
* For additional documentation,
* see <a href="http://algs4.cs.princeton.edu/13stacks">Section 1.3</a> of
* <i>Algorithms, 4th Edition</i> by Robert Sedgewick and Kevin Wayne.
*
* @author Robert Sedgewick
* @author Kevin Wayne
*/
public class ResizingArrayStack<Item> implements Iterable<Item> {
private Item[] a; // array of items
private int N; // number of elements on stack /**
* Initializes an empty stack.
*/
public ResizingArrayStack() {
a = (Item[]) new Object[2];
N = 0;
} /**
* Is this stack empty?
* @return true if this stack is empty; false otherwise
*/
public boolean isEmpty() {
return N == 0;
} /**
* Returns the number of items in the stack.
* @return the number of items in the stack
*/
public int size() {
return N;
} // resize the underlying array holding the elements
private void resize(int capacity) {
assert capacity >= N;
Item[] temp = (Item[]) new Object[capacity];
for (int i = 0; i < N; i++) {
temp[i] = a[i];
}
a = temp;
} /**
* Adds the item to this stack.
* @param item the item to add
*/
public void push(Item item) {
if (N == a.length) resize(2*a.length); // double size of array if necessary
a[N++] = item; // add item
} /**
* Removes and returns the item most recently added to this stack.
* @return the item most recently added
* @throws java.util.NoSuchElementException if this stack is empty
*/
public Item pop() {
if (isEmpty()) throw new NoSuchElementException("Stack underflow");
Item item = a[N-1];
a[N-1] = null; // to avoid loitering
N--;
// shrink size of array if necessary
if (N > 0 && N == a.length/4) resize(a.length/2);
return item;
} /**
* Returns (but does not remove) the item most recently added to this stack.
* @return the item most recently added to this stack
* @throws java.util.NoSuchElementException if this stack is empty
*/
public Item peek() {
if (isEmpty()) throw new NoSuchElementException("Stack underflow");
return a[N-1];
} /**
* Returns an iterator to this stack that iterates through the items in LIFO order.
* @return an iterator to this stack that iterates through the items in LIFO order.
*/
public Iterator<Item> iterator() {
return new ReverseArrayIterator();
} // an iterator, doesn't implement remove() since it's optional
private class ReverseArrayIterator implements Iterator<Item> {
private int i; public ReverseArrayIterator() {
i = N-1;
} public boolean hasNext() {
return i >= 0;
} public void remove() {
throw new UnsupportedOperationException();
} public Item next() {
if (!hasNext()) throw new NoSuchElementException();
return a[i--];
}
} /**
* Unit tests the <tt>Stack</tt> data type.
*/
public static void main(String[] args) {
ResizingArrayStack<String> s = new ResizingArrayStack<String>();
while (!StdIn.isEmpty()) {
String item = StdIn.readString();
if (!item.equals("-")) s.push(item);
else if (!s.isEmpty()) StdOut.print(s.pop() + " ");
}
StdOut.println("(" + s.size() + " left on stack)");
}
}

算法Sedgewick第四版-第1章基础-008一用数组实现栈(泛型、可变大小)的更多相关文章

  1. 算法Sedgewick第四版-第1章基础-007一用两个栈实现简单的编译器

    1. package algorithms.util; import algorithms.ADT.Stack; /****************************************** ...

  2. 算法Sedgewick第四版-第1章基础-001递归

    一. 方法可以调用自己(如果你对递归概念感到奇怪,请完成练习 1.1.16 到练习 1.1.22).例如,下面给出了 BinarySearch 的 rank() 方法的另一种实现.我们会经常使用递归, ...

  3. 算法Sedgewick第四版-第1章基础-2.1Elementary Sortss-001选择排序法(Selection sort)

    一.介绍 1.算法的时间和空间间复杂度 2.特点 Running time is insensitive to input. The process of finding the smallest i ...

  4. 算法Sedgewick第四版-第1章基础-2.1Elementary Sortss-007归并排序(自下而上)

    一. 1. 2. 3. 二.代码 package algorithms.mergesort22; import algorithms.util.StdIn; import algorithms.uti ...

  5. 算法Sedgewick第四版-第1章基础-2.1Elementary Sortss-006归并排序(Mergesort)

    一. 1.特点 (1)merge-sort : to sort an array, divide it into two halves, sort the two halves (recursivel ...

  6. 算法Sedgewick第四版-第1章基础-2.1Elementary Sortss-005插入排序的改进版

    package algorithms.elementary21; import algorithms.util.StdIn; import algorithms.util.StdOut; /***** ...

  7. 算法Sedgewick第四版-第1章基础-2.1Elementary Sortss-004希尔排序法(Shell Sort)

    一.介绍 1.希尔排序的思路:希尔排序是插入排序的改进.当输入的数据,顺序是很乱时,插入排序会产生大量的交换元素的操作,比如array[n]的最小的元素在最后,则要经过n-1次交换才能排到第一位,因为 ...

  8. 算法Sedgewick第四版-第1章基础-2.1Elementary Sortss-002插入排序法(Insertion sort)

    一.介绍 1.时间和空间复杂度 运行过程 2.特点: (1)对于已排序或接近排好的数据,速度很快 (2)对于部分排好序的输入,速度快 二.代码 package algorithms.elementar ...

  9. 算法Sedgewick第四版-第1章基础-1.3Bags, Queues, and Stacks-001可变在小的

    1. package algorithms.stacks13; /******************************************************************* ...

随机推荐

  1. HTML中可以连接资源的标签集合

    1.<a>标签,href属性指示链接的目标,可以是HTML也可以是内部css样式.<a href="http://www.w3school.com.cn"> ...

  2. Tomcat_总结_01_tomcat环境搭建

    一.准备条件 1.安装jdk 二.安装tomcat 1.下载tomcat 去官网下载  64-bit Windows zip  版本的tomcat,并解压 https://tomcat.apache. ...

  3. JDK自动安装脚本

    A:本脚本运行的机器,Linux B:待安装JDK的机器, Linux 首先在脚本运行的机器A上确定可以ssh无密码登录到待安装jdk的机器B上,然后就可以在A上运行本脚本: 代码如下: $ ./in ...

  4. UVA - 11922 Permutation Transformer (splay)

    题目链接 题意:你的任务是根据m条指令改变排列{!,2,3,...,n}.每条指令(a,b)表示取出第a~b个元素,翻转后添加到排列的尾部.输出最终序列. 解法:splay对区间分裂合并翻转,模板题. ...

  5. POJ2985 The k-th Largest Group (并查集+treap)

    Newman likes playing with cats. He possesses lots of cats in his home. Because the number of cats is ...

  6. [独孤九剑]Oracle知识点梳理(二)数据库的连接

    本系列链接导航: [独孤九剑]Oracle知识点梳理(一)表空间.用户 [独孤九剑]Oracle知识点梳理(二)数据库的连接 [独孤九剑]Oracle知识点梳理(三)导入.导出 [独孤九剑]Oracl ...

  7. Oracle存储过程创建及调用

    在大型数据库系统中,有两个很重要作用的功能,那就是存储过程和触发器.在数据库系统中无论是存储过程还是触发器,都是通过SQL 语句和控制流程语句的集合来完成的.相对来说,数据库系统中的触发器也是一种存储 ...

  8. C#获取路由器外网IP,MAC地址

    C#实现的获取路由器MAC地址,路由器外网地址.对于要获取路由器MAC地址,一定需要知道路由器web管理系统的用户名和密码.至于获取路由器的外网IP地址,可以不需要知道路由器web管理系统的用户名和密 ...

  9. QT 中“ std::cerr ”的使用方法【转载】

    std::cerr  标准错误输出流 std::cout 标准输出流 std::cerr 与 std::cout的最大不同是 cerr 是 不带输出缓冲 的,直接就可以输出到显示器上, 而 cout ...

  10. BZOJ2276:[POI2011]Temperature

    浅谈队列:https://www.cnblogs.com/AKMer/p/10314965.html 题目传送门:https://lydsy.com/JudgeOnline/problem.php?i ...