Python 算法教程（26）：数据结构与动态规划

数据结构详解

数据结构是算法的基石。

链表实现

class ListNode:
    def __init__(self, val=0):
        self.val = val
        self.next = None

class LinkedList:
    def __init__(self):
        self.head = None
    
    def append(self, val):
        new_node = ListNode(val)
        if not self.head:
            self.head = new_node
            return
        curr = self.head
        while curr.next:
            curr = curr.next
        curr.next = new_node

栈的实现

class Stack:
    def __init__(self):
        self.stack = []
    
    def push(self, val):
        self.stack.append(val)
    
    def pop(self):
        return self.stack.pop() if self.stack else None
    
    def peek(self):
        return self.stack[-1] if self.stack else None

队列实现

from collections import deque

class Queue:
    def __init__(self):
        self.queue = deque()
    
    def enqueue(self, val):
        self.queue.append(val)
    
    def dequeue(self):
        return self.queue.popleft() if self.queue else None

二分查找

def binary_search(arr, target):
    left, right = 0, len(arr) - 1
    while left <= right:
        mid = (left + right) // 2
        if arr[mid] == target:
            return mid
        elif arr[mid] < target:
            left = mid + 1
        else:
            right = mid - 1
    return -1

# 时间复杂度：O(logn)

动态规划 - 斐波那契

def fib_dp(n):
    if n <= 1:
        return n
    dp = [0, 1]
    for i in range(2, n+1):
        dp.append(dp[i-1] + dp[i-2])
    return dp[n]

# 空间优化版本
def fib_optimized(n):
    if n <= 1:
        return n
    a, b = 0, 1
    for _ in range(2, n+1):
        a, b = b, a + b
    return b

0-1 背包问题

def knapsack_01(weights, values, capacity):
    n = len(weights)
    dp = [[0]*(capacity+1) for _ in range(n+1)]
    for i in range(1, n+1):
        for w in range(capacity+1):
            dp[i][w] = dp[i-1][w]
            if weights[i-1] <= w:
                dp[i][w] = max(dp[i][w], 
                              dp[i-1][w-weights[i-1]] + values[i-1])
    return dp[n][capacity]

数据结构 + 动态规划，算法核心！

cnbugsai

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