traversal

简明释义

英[trəˈvərs(ə)l]美[trəˈvərs(ə)l]

n. [计] 遍历；横越；横断物

英英释义

单词用法

同义词

反义词

例句

1.Figure 1 summarizes the commonly used traversal functions.

图1总结了常用的遍历函数。

2.The following is an example of a traversal expression.

下面是遍历表达式的一个示例。

3.A traversal can end at a single node, or at several nodes, or at no nodes at all.

遍历可以结束于单个节点、或多个节点，或者在根本没有节点处结束。

4.Figure 2-proxy server traversal decision tree.

图2——代理服务器遍历决策树。

5.You can track focus traversal activity originated by the mouse.

跟踪由鼠标引起的焦点遍历行为。

6.EMFT Query is a framework to help traversal of EMF model instances.

EMFTQuery是一种帮组转移eMF模型实例的框架。

7.The first and most commonly used traversal technique is the each function.

第一个也是最常用的遍历方法是each函数。

8.Figure 2 illustrates some of the workings of a traversal expression.

图2演示了遍历表达式的某些工作。

9.The algorithm performs a depth-first traversal of the tree structure.

该算法对树结构执行深度优先遍历。

10.For better performance, the database uses an optimized traversal method.

为了更好的性能，数据库使用了优化的遍历方法。

11.The robot is programmed for efficient traversal of complex terrains.

机器人被编程为高效地遍历复杂地形。

12.During the traversal, we collected data on various species of plants.

在遍历过程中，我们收集了各种植物的数据。

13.The traversal of the network can reveal hidden vulnerabilities.

网络的遍历可以揭示隐藏的漏洞。

作文

In the world of computer science, the concept of traversal (遍历) plays a crucial role in data structures and algorithms. It refers to the process of visiting each node or element in a data structure, such as trees or graphs, systematically. Understanding traversal (遍历) methods is essential for anyone looking to deepen their knowledge in programming and data manipulation.One of the most common forms of traversal (遍历) is the tree traversal, which can be categorized into three main types: pre-order, in-order, and post-order. In pre-order traversal (遍历), the root node is visited first, followed by the left subtree and then the right subtree. This method is particularly useful when you want to create a copy of the tree or when you need to evaluate expressions represented in a tree format.In contrast, in-order traversal (遍历) visits the left subtree first, then the root node, and finally the right subtree. This method is especially significant in binary search trees because it retrieves the elements in sorted order. For instance, if we have a binary search tree with values 1, 2, and 3, an in-order traversal (遍历) would yield the sequence 1, 2, 3, demonstrating how this technique can be utilized to sort data efficiently.Post-order traversal (遍历) takes a different approach by visiting the left subtree, then the right subtree, and finally the root node. This is particularly useful in scenarios where you need to delete a tree or when calculating the height of a tree, as it ensures that all child nodes are processed before the parent node.Another important aspect of traversal (遍历) is graph traversal (遍历), which can be performed using either depth-first search (DFS) or breadth-first search (BFS). DFS explores as far down a branch as possible before backtracking, making it useful for scenarios where solutions are deep within the structure. On the other hand, BFS explores all neighbors at the present depth prior to moving on to nodes at the next depth level, which is advantageous when searching for the shortest path in unweighted graphs.The significance of understanding traversal (遍历) cannot be overstated. It allows programmers to navigate through complex data structures efficiently and effectively. Whether one is working on a simple application or a more sophisticated software system, mastering traversal (遍历) techniques is fundamental.In conclusion, traversal (遍历) is a foundational concept in computer science that encompasses various methods for accessing and manipulating data within structures like trees and graphs. By familiarizing oneself with different traversal (遍历) techniques, programmers can enhance their problem-solving skills and improve the efficiency of their code. As technology continues to evolve, the ability to understand and implement effective traversal (遍历) strategies will remain a vital skill for developers across all fields.