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bag
- 在0 / 1背包问题中,需对容量为c 的背包进行装载。从n 个物品中选取装入背包的物品,每件物品i 的重量为wi ,价值为pi 。对于可行的背包装载,背包中物品的总重量不能超过背包的容量,最佳装载是指所装入的物品价值最高,即p1*x1+p2*x1+...+pi*xi(其1<=i<=n,x取0或1,取1表示选取物品i) 取得最大值。
bag-0.1.6.tar
- 快速高效的图像分类器, Bag of features: A simple bag of features classifier. 作者:Andrea Vedaldi
PhysX_2.8.1.rar
- PhysX为重要的物理引擎,压缩包里为安装文件及SDK,Important PhysX physics engine, compression bag for the installation files and SDK
bag-0.1.tar
- bag of feature bag of feature bag of feature bag of feature bag of feature -bag of feature bag of feature bag of feature bag of feature bag of feature bag of feature bag of feature bag of feature bag of feature bag of feature
bag-0.1.1.tar
- bag of feature bag of feature bag of feature-bag of feature bag of feature bag of feature bag of feature
bag
- 分支限界法解决0/1背包问题,用c++的优先队列方法-Branch and bound method to solve 0/1 knapsack problem, using c++ Priority queue method
bags
- 四种算法(动态规划、回溯法、分支限界法、贪心法)实现0-1背包问题-four algorithms including dynamic planningm,tracing,branch and bound method and greedy to implement 0-1 bag problem.
Backtrack_0-1bag
- 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
0-1
- 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
bag-C-Algorithm
- 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
0-1_bag_problem
- 0-1背包问题的动态规划解法,C++源码,并附有详细的实验报告-0-1 bag problem
PyOpenGL-3.0.1
- python opengl 包 想要用opengl在python下 需要这个-python opengl opengl package you want to use this bag in python required under
bag
- 介绍了0-1背包问题的求解,并用贪心算法解决了背包问题-Introduced to solve 0-1 knapsack problem and solved with the greedy algorithm knapsack problem
caltech-image-search-1.0
- 大规模图像检索的代码,matlab与c++混合编程。总结了目前图像检索领域目前主要存在的方法。通过阅读该代码,可以对于经典的“词袋”模型(bow模型)有个具体的了解,但是该代码没有提供前序的特征提取,是直接从对提取好的特征向量聚类开始的,包括了k-means,分层k-means(HKM)聚类,倒排文件的建立和索引等,该代码还提供了局部敏感哈希(LSH)方法。最后,这份代码是下面这篇论文的作者提供的, Indexing in Large Scale Image Collections: Sc
huisufa--01beibao
- 讲述了0-1背包问题的解决,是讲课用的课件。希望对大家会有帮助-it is a problem about 0-1 bag
Bag
- 0-1背包问题的解答,0-1背包问题的一个简单的解答,算法不是很好,蛮力算法-0-1 knapsack problem answers to the 0-1 knapsack problem with a simple answer, the algorithm is not very good, the brute force algorithm
0-1-bag-problem
- 一种算法来解决0-1背包问题,这是非常好的-one arithmetic to solve 0-1 bag problem
bag
- 非常经典的0-1背包问题采用贪心算法实现-Very classical 0-1 knapsack problem using greedy algorithm
mpi-bag
- MPICH并行编程解决动态编程中的01背包问题-MPI solution to 0-1 bag puzzle
xujilin_zuihong_maltab
- MALTAB 求解0-1背包问题 贪婪算法-0-1 bag maltab bainxie