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BagZeroOne
- java语言实现动态规划求解0-1背包问题。
knapsack
- knapsack，用动态规划解背包问题，可直接在eclipse上运行。-knapsack, knapsack problem using dynamic programming solution can be directly run in eclipse.
newBag
- 动态规划策略实现0-1背包问题的JAVA源程序-Dynamic planning strategy for the achievement of 0-1 Knapsack Problem JAVA source code
TestKnapsack
- 经典的背包问题用动态规划实现的JAVA代码-Classical knapsack problem using dynamic programming to achieve the JAVA code
Knapsack
- java实现0/1背包问题，算法中所用到的为动态规划寻找最优解的思想。-java to achieve 0/1 knapsack problem, algorithms are used to find the optimal solution for the dynamic programming ideas.
lhl.java
- 用JAVA语言 动态规划算法解决0/1背包问题-good
Arithmetic
- 用JAVA完成的0-1背包算法，一共用了四种算法，包括贪心，分治，动态规划，回溯。把工程导入ECLIPSE下就可以了。-JAVA finished 0-1 with a knapsack algorithm, a share of the four algorithms, including greedy, divide and conquer, dynamic programming, backtracking. To work on it under into ECLIPSE.
beibao
- 用java 实现 动态规划求0-1背包问题两个实例 包括改进后的算法实现-0-1 knapsack problem of the dynamic programming algorithm, 0-1 knapsack different from the knapsack problem
Knapsack2
- 用java实现的01背包问题的动态规划算法，注释很详细，配合《算法导论》的伪代码可以很容易看懂。-01 knapsack problem with java achieve dynamic programming algorithm, very detailed notes, with the " Introduction to Algorithms" pseudo-code can easily understand.
java2
- 常用的程序总结，主要是动态规划的算法，有斐波拉契，矩阵，背包，和二叉查找树-Summary of frequently used programs, mainly dynamic programming algorithm, Feibolaqi, matrix, backpacks, and a binary search tree
01beibao
- 01背包的完整版，采用动态规划和贪婪算法解决-01 backpack full version, using dynamic programming and greedy algorithm to solve
beibao
- 文件里面的代码主要是用递归算法，动态规划的算法，贪婪算法，回溯算法解决没有利润分配的背包问题。-File inside the code is mainly used recursive algorithm, dynamic programming algorithms, greedy algorithms, backtracking algorithm to solve knapsack problem is no distribution of profits.
DP-0-1
- 0-1背包动态规划,用动态规划来求解0-1背包的问题，Java程序来实现-0-1 backpack dynamic programming, dynamic programming to solve the 0-1 knapsack problem, Java program to achieve
Knapsack
- 很经典的01背包以及分数背包问题的解决方案，分别用了动态规划以及递归的思想！-01Knapsack and fractional Knapsack in java
DynamicProgramming
- 0/1背包问题是学习动态规划算法最经典的例子 Java代码实现0/1背包问题 代码里有详细的注释，比较好理解-knapsack problem is one of the most classic problems to learn dynamic programming technique Java code,easiser to understand
12.8 01背包练习题
- java 动态规划之0-1背包问题代码详解，详细注释(0-1 knapsack problem dynamic programming code Xiangjie)