graph searching的意思|示意
[计] 图搜索
graph searching的用法详解
The term \"graph searching\" refers to the process of using algorithms to search for information in data structures. In computer science, graphs are used to represent various sets of data such as networks, webpages, connections, and relationships. Graph searching helps us to understand how these data are interconnected and it can also be used to find certain types of information.
Graph searching algorithms help us to find paths, or paths of least cost, between two nodes in a graph. These algorithms often involve creating a search tree, which helps to identify the path that leads to the target node. We can use graph searching to find the shortest path between two nodes, the most efficient way to traverse a graph, or the optimal route from a given source node to all other nodes in the graph.
Graph searching can also be used to find patterns or clusters of related nodes, to detect cycles or loops, and to solve network flow problems. These algorithms can be used to optimize certain tasks, such as routing information or detecting fraud in networks. They can also be used to analyze datasets, identify clusters and outliers, and to understand the relationships between nodes.
Graph searching algorithms are used in artificial intelligence (AI), natural language processing (NLP), and data mining. They are also useful in various fields such as machine learning, robotics, and computer vision. Graph searching algorithms are becoming more important as data analysis and machine learning become more sophisticated and more difficult to carry out manually.
graph searching相关短语
1、 graph-searching 图标号
2、 implicit graph searching 隐式图搜索
3、 graph searching strategy 图搜索
4、 heuristic graph searching 启发式图搜索
5、 graph searching technology 图搜索技术
6、 graph similarity searching 图相似性搜索
7、 searching graph 搜索图
graph searching相关例句
This article briefly illustrates the concept of graph and searching method.
对图的概念和遍历方法进行了简单的阐述。
A localization and object tracking approach based on statistical operators and graph searching algorithms is presented for a team of robots localized with heterogeneous sensors.
以统计的操作员和曲线图搜索运算法则为基础的一个局限和物体追踪方式为与异种的感应器一起本土化的一队机械手被呈现。
Perhaps just as important are fundamental algorithms like binary search, graph searching algorithms, sorting algorithms, and tree-based searches such as minimax.
也许同样重要的是基本的算法，如二进制搜索，图形搜索算法，排序算法，并基于树的极小搜索。