[Stanford Algorithms: Design and Analysis, Part 2] c25 HUFFMAN CODES

Specific topics in Part 2 include: greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes), dynamic programming (knapsack, sequence alignment, optimal search trees, shortest paths), NP-completeness and what it means for the

原文地址:https://www.cnblogs.com/ecoflex/p/10640959.html

原文地址:https://www.cnblogs.com/ecoflex/p/10658398.html

自我总结: 1.编程的思维不够,虽然分析有哪些需要的函数,但是不能比较好的汇总整合 2.写代码能力,容易挫败感,经常有bug,很烦心,耐心不够好 题目: In this programming assignment you will implement one or more of the integer multiplication algorithms described in lecture. To get the most out of this assignment, your pro

#include<string> #include <vector> #include <fstream> using namespace std; std::vector<int> v; int bigArr[100000]; int helpArr[100000]; _int64 MergeAndCount( int* arr, int left, int mid, int right ) { if( left >= right ) { retur

#include<string> #include <vector> #include <fstream> using namespace std; std::vector<int> v; int bigArr[10000]; int helpArr[10000]; int partition( int* arr, int left, int right ); int QSort( int* arr, int left, int right ) { if(

Week2 Master method Assumption:all subproblems has same size Recurrence Format The Master Method formula

This pseudocode from the book: <<Introduction to the Design and Analysis of Algorithms_Second Edition>> _ Anany LevitinNote that throughout the paper, we assume that inputs to algorithms fall within their specified ranges and hence require no

This pseudocode from the book: <<Introduction to the Design and Analysis of Algorithms_Second Edition>> _ Anany LevitinNote that throughout the paper, we assume that inputs to algorithms fall within their specified ranges and hence require no