线性结构 数组与链表
线性结构 数组与链表
线性结构
线性数据结构有两端，有时被称为左右，某些情况被称为前后。你也可以称为顶部和底部，名字都不重要。将两个线性数据结构区分开的方法是添加和移除项的方式，特别是添加和移除项的位置。例如一些结构允许从一端添加项，另一些允许从另一端移除项。
数组或列表
数组(Array)是编程界最常见的数据结构，有些编程语言被称作位列表(List)。几乎所有编程语言都原生内置数组类型，只是形式向略有不同，因为数组是最简单的内存数据结构。
数组的定义是：一个存储元素的线性集合(Collection)，元素可以通过索引(Index)来任意存取，索引通常是数字，用来计算元素之间存储位置的偏移量。
链表
数组的缺点：要存储多个元素，数组(或列表)可能是最常见的数据结构。但是数组不总是组织数据的最佳结构。在大多数编程语言中，数组的大小是固定的，所以当数组被填满时，再要加入新的元素会非常困难。并且从数组起点或中间插入或移除元素的成本很高，因为需要将数组中的其他元素向前后平移。
链表(Linked list)中的元素在内存中不是连续存放的。链表是由一组节点(Node)组成的集合，每个节点由元素本身和一个指向下一个元素的引用(也被称作链接或指针)组成。相对于数组，链表的好处在于，添加或移除元素的时候不需要移动其他元素。
链表的种类
单向链表(Singly linked list)：是最基本的链表，每个节点一个引用，指向下一个节点。单向链表的第一个节点称为头节点(head node)，最后一个节点称为尾节点(tail node)，尾节点的引用为空（None），不指向下一个节点。
双向链表(Doubly linked list)和单向链表的区别在于，在链表中的节点引用是双向的，一个指向下一个元素，一个指向上一个元素。
循环链表(Circular linked list)和单向链表类似，节点类型都一样。唯一的区别是 ，链表的尾节点引用指向头节点。
双向循环链表：类似于双向链表，尾节点的后置引用指向头节点，头节点的前置引用指向尾节点。
单向链表的操作
方法 | 操作 |
|---|---|
append | 向链表尾部添加一个元素 |
insert | 在链表的指定位置插入一个元素 |
pop | 从链表特定位置删除并返回元素 |
remove | 从链表中删除给定的元素 |
find | 返回元素的索引 |
iter | 迭代链表元素 |
size | 获取链表大小 |
clear | 清空链表 |
Python实现单向链表
# python3
class Node:
def __init__(self, value=None, next=None):
self.value = value
self.next = next
class LinkedList:
def __init__(self):
self.head = None
self.tail = None
self.size = 0
def append(self, value):
node = Node(value)
if self.head is None:
self.head = node
self.tail = node
else:
self.tail.next = node
self.tail = node
self.size += 1
def insert(self, index, value):
if 0 <= index <= self.size:
node = Node(value)
current = self.head
previous = Node(next=current)
count = 0
while count < index:
previous = current
current = current.next
count += 1
previous.next = node
node.next = current
if previous.value is None:
self.head = node
if node.next is None:
self.tail = node
self.size += 1
return True
else:
return False
def pop(self, index):
if 0 <= index <= self.size and self.head is not None:
current = self.head
previous = Node(next=current)
count = 0
while count < index:
previous = current
current = current.next
count += 1
previous.next = current.next
if previous.value is None:
self.head = current.next
if current.next is None:
self.tail = previous
self.size -= 1
return current.value
else:
return None
def remove(self, item):
found = False
current = self.head
previous = Node(next=current)
index = 0
while not found and current is not None:
if current.value == item:
found = True
else:
previous = current
current = current.next
index += 1
if found:
previous.next = current.next
if previous.value is None:
self.head = current.next
if current.next is None:
self.tail = previous
self.size -= 1
return index
else:
return -1
def find(self, item):
current = self.head
count = 0
while current is not None:
if current.value == item:
return count
else:
current = current.next
count += 1
return -1
def iter(self):
current = self.head
while current is not None:
yield current.value
current = current.next
def size(self):
return self.size
def clear(self):
self.head = None
self.tail = None
self.size = 0
def is_empty(self):
return self.size == 0
def __len__(self):
return self.size()
def __iter__(self):
iter self.iter()
def __getitem__(self, index):
return self.find(index)
def __contains__(self, item):
return self.find(item) != -1JavaScript实现单向链表
// ES6
class Node {
constructor(value=null, next=null) {
this.value = value;
this.next = next;
}
}
class LinkedList {
constructor() {
this.head = null;
this.tail = null;
this.size = 0;
}
append(value) {
let node = new Node(value);
if (this.head === null) {
this.head = node;
this.tail = node;
} else {
this.tail.next = temp;
this.tail = temp;
}
this.size += 1;
}
insert(index, value) {
if (0 <= index <= this.size) {
let node = new Node(value);
let current = this.head;
let previous = new Node(next=current);
let count = 0;
while (count < index) {
previous = current;
current = current.next;
count += 1;
}
previous.next = node
node.next = current
if (previous.value === null) {
this.head = node;
}
if (node.next === null) {
this.tail = node;
}
this.size += 1
return true;
} else {
return false;
}
}
pop(index) {
if (0 <= index <= self.size && this.head === null) {
let current = this.head;
let previous = new Node(next=current);
let count = 0;
while (count < index) {
previous = current;
current = current.next;
count += 1;
}
previous.next = current.next;
if (previous.value === null) {
this.head = current.next;
}
if (current.next === null) {
this.tail = previous;
}
this.size -= 1;
return current.value;
} else {
return null;
}
}
remove(item) {
let found = false;
let current = this.head;
let previous = new Node(next=current);
let index = 0;
while (! found && current !== null) {
if (current.value === item) {
found = true;
} else {
previous = current;
current = current.next;
}
index += 1
}
if (found) {
previous.next = current.next;
if (previous.value === null) {
this.head = current.next;
}
if (current.next === null) {
this.tail = previous;
}
this.size -= 1;
return index;
} else {
return -1;
}
}
find(item) {
let current = this.head;
let count = 0;
while (current !== null) {
if (current.value === item) {
return count;
} else {
current = current.next;
count += 1;
}
}
return -1;
}
iter() {
let current = this.head;
while (current !== null) {
yield current.value;
current = current.next;
}
}
size() {
return this.size;
}
clear() {
this.head = null;
this.tail = null;
this.size = 0;
}
isEmpty() {
return this.size === 0;
}
}本文参与 腾讯云自媒体分享计划，分享自作者个人站点/博客。
原始发表：2019-09-26 ，如有侵权请联系 cloudcommunity@tencent.com 删除
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