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graph, heap, sorting, timing source code-- common datastruct
- graph, heap, sorting, timing source code
Graph-theory-by-amber
- amber大牛总结的图论基本术语和算法大略，建议结合源码学习，比较抽象-Daniel summed up the amber basic terminology of graph theory and algorithms rough, combination source learning, abstract
Hamiltonian-graph
- 哈密顿图的判定：经过图中所有顶点一次且仅一次的回路称为哈密顿回路。具有哈密顿回路的图称为哈密顿图，-determine Hamiltonian graph : After all the vertices of a graph and only one loop is called Hamiltonian circuit. A graph that has a Hamiltonian circuit is called a Hamiltonian map,
graph
- 图论的算法，最短路，最小生成树，连通，匹配，网络流及应用。-Graph theory, algorithms, shortest path, minimum spanning tree, connectivity, matching, network flow and applications.
graph
- 有向图 采用邻接表存储 DFS和BFS方法遍历 为方便表示,结点数小于10 用V0-V9表示不同的结点的-Directed graph using adjacency list method of storing DFS and BFS traversal for the convenience that the number of nodes is less than 10 with V0-V9 for different node
graph
- 用VC对数据结构图进行了基本操作，包括建立图结构，插入节点，边，删除节点，边，等等。-VC on the data chart with the basic operations carried out, including the establishment of graph structure, insert the node, edge, remove the node, edge, and more.
Bipartite
- 图论*匈牙利算法 的两种实现过程 Matching的巧妙在于队列的进入退出并没有仅仅限于在同一层循环中做到，构思巧妙 其算法思想在《算法设计与分析基础》上可以参阅-Graph theory* Two Hungarian Algorithm realization process ingenious Matching queue entry and exit is not just limited to the same level as the cycle done, the idea
C
- 本文档容括了C（C＋＋）所有算法，分为数值算法、图论算法、背包算法、排序算法、高精度算法、树的遍历、进制转换、全排列和组合生成、查找算法、贪心、回溯法框架、DFS框架、BFS框架、数据结构相关算法。并有实例源码-This document, including the capacity C (C ) for all algorithms, divided into numerical algorithms, graph theory, algorithm, knapsack algorit
Hungary
- 匈牙利算法实现二分图最大匹配 文件输入输出.-Hungarian algorithm bipartite graph maximum matching document input and output.
Graph
- 是一个在学习数据结构时编写的图结构，主要是用两种方法生成需要的图结构，其中有一个头文件都注释了，要是要使用的话，只需要将另一个头文件注释并把这个取消注释，在main方法中改一个类名就好了-Is a data structure in the learning plan to prepare the structure, is mainly used two methods to generate the need for the graph structure, in which there i
graph
- 数据结构C对图的操作算法，有广度、深度优先遍历，拓扑排序，最短路径的实现算法，最小生成树的算法-C data structures to operate on the map algorithm, there is the breadth, depth-first traversal, topological sorting, shortest path algorithm, minimum spanning tree algorithm
graph
- 一个关于图的数据结构程序，涵盖这四种图的表示方法和实现方式！-A graph data structure procedures, covering the four graphs that the methods and the realization of the way!
KrusKal
- 对一个带权无向图，求其最小生成树，本程序功能通过KrusKal算法实现。-Of a weighted undirected graph, and its minimum spanning tree, the program features through the Kruskal algorithm.
graph
- c++实现的有向图的临界矩阵构造，深度广度的遍历。-c++ achieved critical digraph matrix structure, depth, breadth Ergodic.
lujin
- 最短路径问题（用无向图表示n个城市之间的交通网络建设规划，顶点表示城市，边上的权表示该线路的造价，试设计一个方案，使得这个交通网的总造价最小。）-The shortest path problem (with undirected graph n cities that transport links between the construction plan, vertex, said city, said the right edge of the construction cost of
Graph
- 多段图最短路径问题，求一个多段图源点到目的点的最短消耗-Multi-segment graph shortest path problem, and more than one paragraph map source to the destination point of the shortest consumption
DataStruture-Graph
- 1.7.1 图的邻接矩阵存储表示 311 范例1-102 图的邻接矩阵存储表示 ∷相关函数：CreateFAG函数 CreateDG函数 1.7.2 图的邻接表存储表示 324 范例1-103 图的邻接表存储表示 324 ∷相关函数：CreateFAG函数 1.7.3 有向图的十字链表存储表示 335 范例1-104 有向图的十字链表存储表示 335 ∷相关函数：CreateDG函数 1.7.4 无向图的邻接多重表存储表示 344 范例1-105 无向图
theroy
- 数据结构算法解析第七章图论的程序源码 -Data Structures Algorithm Analysis Chapter VII of the source graph theory procedures
graph
- 该压缩文件中包含了图论当中的一些重要算法，包括前序中序和后序遍历、最小二叉树、DFS、BFS以及拓扑排序。-The compressed file contains a graph theory among a number of important algorithms, including the former order in the order and postorder traversal, the smallest binary tree, DFS, BFS, and topolog
adjacency matrix to represent the graph
- (1)使用邻接矩阵表示图，定义相应的抽象数据类型。 (2)实现两个图ADTs的上述函数。 (3)从空图开始，生成图形对象表示图1所示的图形，将顶点和边逐一插入。 (4)以BFS方式遍历图。((1) Use adjacency matrix to represent graphs and define the corresponding abstract data type. (2) Realize all the above functions for the two graph AD