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tianji
- 田忌赛马问题：用动态规划问题，解决最优化问题，不错的算法哦-Tianji race issue : dynamic programming problem solving optimization problems, a good algorithm oh.
Beautifulprint
- 该程序用Java实现了算法中的动态规划问题_漂亮打印-the program using Java to achieve a dynamic algorithm planning _ pretty Print
0-1背包的动态规划算法
- 动态规划0-1背包问题-Dynamic Programming 0-1 knapsack problem
背包问题(动态规划递归算法）的vc程序
- 用动态规划算法中的递归法求解背包问题的vc++6程序，已通过测试
0-1背包问题
- 动态规划法解决0-1背包问题
用动态规划算法思想求最小编辑距离
- 用动态规划算法思想求最小编辑距离，即近似字符串匹配问题,Thinking of using dynamic programming algorithm for the minimum edit distance, that is, approximate string matching problem
01beibao.rar
- 01背包问题，里面有四种算法，分别为动态规划，分支限定发，回溯法和谈新算法！,01 knapsack problem, there are four kinds of algorithms, dynamic programming, respectively, branch limit hair, the new algorithm backtracking peace!
0-1Knapsack.problem
- Knapsack problemnew01背包问题（动态规划） 01背包实验报告-Knapsack problemnew01 knapsack problem (dynamic programming) 01 backpack Experimental Report
zero_one_question
- 算法中的经典问题：0——1 背包问题 在该程序中运用了动态规划算法成功解决了0——1背包问题-Classic problem of algorithm 0- 1 knapsack problem in the process use of dynamic programming algorithms succeeded in solving 0- 1 Knapsack Problem
Fac3_9
- //0-1背包问题动态规划解法，原自王晓东算法设计，该程序已调通-//0-1 knapsack problem dynamic programming method, the original algorithm since Xiaodong design, the program has been transferred Qualcomm
Pack
- 动态规划问题中经典的背包问题及其变体的讲解，共分9节，深入浅出。-Dynamic programming problem in the classical knapsack problem and its variants to explain, consists of nine, in layman' s language.
knapsack
- 背包问题，每类物品个数不限，使得总价值最大的动态规划算法。-Knapsack problem, the number of each type of goods not limited to, making the total value of the largest dynamic programming algorithm.
DPmissileDefence
- 动态规划入门问题：导弹防御 的解答与源程序，包含样例输入与输出-Introduction to dynamic programming problems: answers and the source of missile defense, including sample input and output
DynamicProgramming
- 包含了7篇与动态规划相关的论文及附件： 基本动态规划问题的扩展----2001俞伟论文 动态规划算法的优化技巧---2001毛子青论文 动态规划的特点及其应用----2000张辰论文 动态规划的深入讨论---2000李刚论文 动态规划的深入探讨----1999来煜坤论文 动态规划的个性化优化----2003项荣璟论文 动态规划----2000方奇论文-Contains 7 and the dynamic programming-related papers and a
1
- 动态规划的基础题，详细讲解了利用动态规划求最短路径的问题-Dynamic Programming- Shortest path problem
DynamicProgramming
- 数据结构的作业，用动态规划算法解决旅行商问题-Data structure operations, with a dynamic programming algorithm to solve traveling salesman problem
the-max-sum
- 一串数字序列比如1，3，4，5，7，6……得到其中的最带不连续子序列（要求序列是严格递增的如1，3，4，5，7可以，5，7，6就不可以） 本代码即，最大不连续子序列问题，属于经典的动态规划问题适合初学者-A string of number sequences such as 1,3,4,5,7,6 ... ... be one of the best sequence with discontinuous (which requires a strictly increasing sequ
touziwenti
- 1. 熟悉动态规划的使用方法 2. 分析投资问题的最优子结构 3. 用动态规划求解投资问题 求解总投资额为m，共有n个项目，Gi(x)为向第i项工程投资费用为x时的收益，如何分配资源才能获得最大利润。 -1. Familiar with dynamic programming using method 2. Analysis of the optimal sub-structure of investment 3 investment using dynamic prog
arithmetic
- 采用c++语言实现动态规划问题、0-1背包问题、背包问题knap1.cpp、knap.cpp、dynamic.cpp！-The c++ language realize dynamic planning 0-1 knapsack problems knapsack problem knap1. CPP knap.CPP dynamic.CPP
Longest common subsequence
- 用动态规划思想设计实现最长公共子序列问题，用贪心思想设计实现活动安排问题，并且用不同数据量进行对比分析。(We use dynamic programming theory to design the longest common subsequence problem. We use greedy thought to design the activity scheduling problem, and compare it with different data volume.)