搜索资源列表
贪心算法球园排列问题
- 贪心算法球园排列问题，算法设计与分析课程的作业。-greedy algorithm with the ball park, algorithm design and analysis programs work.
贪心算法
- 模式识别中的贪心算法，是根据分配篮球队员的简单条件做的-pattern recognition of greedy algorithm is based on the distribution of basketball players do the simple conditions
MaxSubMin
- 用贪心算法编写的有关最大级差问题的java程序-greedy algorithm used in the preparation of the largest differential in java programs
bag
- 用Visual C++编写的程序，利用贪心算法实现背包问题-Using Visual C++ to prepare the procedures for implementation the use of greedy algorithm knapsack problem
tanxin
- 算法分析中的实例，简单的贪心算法用于求解此类问题-Examples of algorithm analysis, the simple greedy algorithm for solving such problems
RWXML8
- 分别用贪心算法和启发式算法对测试用例集进行了最小化。-the Greedy and Heuristic is used to minimized the test suite.
tanxin
- 算法设计课程设计中的贪心算法，用c++实现代码-Algorithm design in the curriculum design of the greedy algorithm to achieve code
Cargobin-packingproblem.jsp
- 首先，打开MATLAB编辑器,输入该文件中程序码，把文件保存到MATLAB当前目录并命名为zhuangxiang.m,只需在命令窗口中输入zhuangxiang,按回车键，根据提示输入，便可解决贪心算法中货船装箱问题，以求得最优解。 -First of all, open the MATLAB editor, enter the file, program code, save the file to the MATLAB current directory and named zhuang
FastJob
- FASTJOB 贪心算法：输入作业收益与截止日期后，可得出作业执行顺序-FASTJOB greedy algorithm:after Enter the operating income and the deadline, the execution order of operations can be drawn
tx
- 这是一个关于贪心算法的一些例子，里面包含了源代码，请仔细研究-some example
GREEDY MAX-IS
- 最大独立集的贪心算法简易实现，可以快速求取节点数量较少的最大独立集问题。(An approximated greedy algorithm for Maximum Independent Set Problem)
贪心算法
- 贪心算法（又称贪婪算法）是指，在对问题求解时，总是做出在当前看来是最好的选择。也就是说，不从整体最优上加以考虑，他所做出的是在某种意义上的局部最优解。(The greedy algorithm (called greedy algorithm) refers to, in problem solving, always seems to be made in the best choice. That is to say, do not be optimal from an overall co
贪心算法背包问题
- 一个简单贪心算法的研究，背包问题，供大家浏览参考。(A simple greedy algorithm research, knapsack problem, reference for browsing.)
贪心算法 简单问题研究
- 关于贪心算法的最优安排和稍微复杂的研究，文中给出两个小例子。(About the greedy algorithm is the optimal arrangement and study a little more complicated, two small example is given in the paper.)
部分背包的贪心算法实现
- 通过贪心算法实现装进背包物品价值最大化，具体步骤是依次选择价值密度最大的物品放入背包(Through greedy algorithm to maximize the value of goods loaded into backpacks.)
function
- 一些算法的集合，可以直接测试使用，包括动态划分，分治，贪心算法等(Some of the sets of algorithms can be used directly to test the use of)
best
- 贪心算法解决最优装载问题，c++版本。已设置初始重量和容量。(A greedy algorithm to solve the optimal loading problem.C++ version. Initial weight and capacity have been set.)
背包问题
- 贪心算法解决背包问题：给定n种物品和一个背包。物品i的重量是Wi，其价值为Vi，背包的容量为C。应如何选择装入背包的物品，使得装入背包中物品的总价值最大?(The greedy algorithm solves the knapsack problem: a given n item and a backpack. The weight of the item I is Wi, its value is Vi, and the capacity of the knapsack is C. How
贪心算法
- 贪心算法（又称贪婪算法）是指，在对问题求解时，总是做出在当前看来是最好的选择。也就是说，不从整体最优上加以考虑，他所做出的是在某种意义上的局部最优解。(Greedy algorithm (also called greedy algorithm) means that when solving a problem, it always makes the best choice at present. That is to say, not considering the overall opt
贪心算法4.8宿营地
- 贪心算法宿营地问题 /*考察路线有n个地点作为宿营地，宿营地到出发点的距离依次为x1,x2,...xn,且满足 x1<x2<x3<x4，每天只能前进30千米，任意两个宿营地相距不超过30，每个宿营地只住 一天，求宿营天数最少*/(Greedy The expedition route has N locations as camps, and the distance from the campsite to the starting point is X1, X2, in t