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0-1背包问题,采用了求最优解和求最优值,分别用递归和回代来实现.-0-1 knapsack problem using the optimal solution for the optimal value and demand, and to use recursive generation to achieve.
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用多种算法解决0－1背包问题，包括回朔法，动态规划，贪心算法等-algorithm used to solve a variety of 0-1 knapsack problem, including the retrospective method, dynamic programming, greedy algorithm
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动态规划算法求解0-1背包问题,动态规划算法knapsack求最优值-Dynamic programming algorithm for solving 0-1 knapsack problem, dynamic programming algorithm for optimal value knapsack
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采用了基本的蚁群算法来求解0-1背包问题，该算法不仅可以对0-1背包问题进行求解，还可以对多维背包问题进行求解。-Using the basic ant colony algorithm to solve the 0-1 knapsack problem, the algorithm not only for the 0-1 knapsack problem can be solved, but also multi-dimensional knapsack problem can be sol
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Knapsack problem. Fractional knapsack,DDG, 0-1 knapsack are included
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Using java language implement an 0 / 1 knapsack problem. Using the recursive algorithm.And the interface also is added.
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0-1背包问题，算法设计中最常见也是最经典的问题，希望对学习算法的有所帮助-0-1 knapsack problem, algorithm design of the most common and most classic problems in the hope of learning algorithms help
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从文件读入数据，用回溯法实现了0-1背包最优解的问题-Read data from a file, using backtracking to achieve the optimal solution of the 0-1 knapsack problem
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0-1背包问题， 给定一个载重量为m，n个物品，其重量为wi，价值为vi，1<=i<=n，要求:把物品装入背包，并使包内物品价值最大-0-1 knapsack problem, given a load for the m, n one item, the weight wi, the value of vi, 1 < = i < = n, asked: the items into backpacks, and to bag the maximum value of the
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背包问题系列算法详解
背包问题是一个关于最优解的经典问题。通常被讨论的最多的，最经典的背包问题是0-1背包问题(0-1 Knapsack Problem)。它是一切背包问题及相关背包问题的基础。本篇博文将详细分析0-1背包问题，并给出0-1背包问题的几种解法，同时也对0-1背包问题的内涵进行延伸，丰富其外延至完全背包问题和多重背包问题，并给出背包问题的算法实现过程，希望对大家有帮助。-Detailed Algorithm for Knapsack Problem Series
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用动态规划的方法解0/1背包问题。用VC6编译运行正确。供参考-Using dynamic programming for solving 0/1 knapsack problem. Compile and run correctly with VC6. Reference
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本程序实现分支界限算法求解0-1背包问题，c语言-The boundaries of the program to achieve branch 0-1 knapsack problem algorithm, c language
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熟悉C/C++语言的集成开发环境；通过本实验加深对分治法、贪心算法的理解。掌握贪心算法、动态规划和回溯算法的概念和基本思想，分析并掌握"0-1"背包问题的三种算法，并分析其优缺点。-Master the greedy algorithm, the dynamic programming algorithm and back of the concept and basic thought, analysis and master "0-1" knapsack problem three algo
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自己写的用二叉树处理经典的0-1背包问题的程序。-Write your own binary tree processing procedures of the classical 0-1 knapsack problem.
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A branch and bound algorithm for the 0-1 knapsack problem.
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用动态规划思路去解答经典的0-1背包问题，已成功通过调试-Using dynamic programming ideas to answer the classic 0-1 knapsack problem, has successfully passed the debugging
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用动态规划去解答0-1背包问题，此方法是在经典背包问题上进行的跳跃点优化而解答出来的，已成功通过编译调试-Using dynamic programming to answer 0-1 knapsack problem, this method is carried out on the classic knapsack problem jumps out optimization solutions, has successfully passed the compiler debugging
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0-1背包问题：有N件物品和一个容量为V的背包。第i件物品的花费是c[i]，价值是w[i]。求解将哪些物品装入背包可使价值总和最大。-The 0-1 knapsack problem: N items and a capacity of V backpack. Take the first I items is c[i], the value is w[i]. For which goods loaded backpack can make the value of the sum of the
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经典的0-1背包问题，程序可以自动输入并且有注释-Classical 0-1 knapsack problem, the program can automatically entered and annotated
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0-1 knapsack problem implementation in c++. One of the fundamental problems in Dynamic Programming.
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