arborescence

简明释义

英[ˌɑːbəˈresəns]美[ˌɑrbəˈresns]

n. 树状；树质

英英释义

单词用法

同义词

反义词

例句

1.With the expansion of information visualization applications, requirement of the control over the length of edges appears in the drawing of weighted arborescence.

随着信息可视化技术应用范围的扩大，赋权树形图的绘制过程中常常需要对边的长度进行限定。

2.The weighted shortest path arborescence game.

加权最短路树形图对策问题。

3.With the expansion of information visualization applications, requirement of the control over the length of edges appears in the drawing of weighted arborescence.

随着信息可视化技术应用范围的扩大，赋权树形图的绘制过程中常常需要对边的长度进行限定。

4.Thus passed the leafy time when arborescence seems to be the one thing aimed at out of doors.

当树木似乎变成户外最集中的事物时，树叶生长的季节就这样过去了。

5.In computer science, an arborescence is a directed tree where each node has exactly one parent.

在计算机科学中，树状结构是一种有向树，每个节点恰好有一个父节点。

6.In biology, the concept of arborescence can be seen in the branching patterns of certain plants.

在生物学中，树状结构的概念可以在某些植物的分枝模式中看到。

7.The data structure used in this algorithm is based on an arborescence, which allows for efficient searching.

这个算法中使用的数据结构基于一种树状结构，这使得搜索更加高效。

8.The organization of the website is designed in an arborescence format to improve navigation.

该网站的组织结构采用树状结构格式，以改善导航体验。

9.The project management tool uses an arborescence to represent tasks and their dependencies visually.

该项目管理工具使用树状结构直观地表示任务及其依赖关系。

作文

In the realm of computer science, the term arborescence refers to a tree-like structure that is used to represent hierarchical data. This concept is not only fundamental in organizing information but also plays a crucial role in various algorithms and data management systems. The idea of arborescence can be traced back to its roots in mathematics and biology, where it describes branching structures found in nature, such as trees and shrubs. Just like a tree with its trunk and branches, an arborescence consists of nodes connected by edges, creating a clear path from the root to the leaves.The significance of arborescence in computer science cannot be overstated. For instance, in databases, data is often organized in a way that resembles an arborescence, allowing for efficient querying and retrieval. When we consider file systems on our computers, they too are structured in a hierarchical manner, resembling an arborescence. Each folder can contain subfolders and files, creating a nested organization that is intuitive for users to navigate. Moreover, the concept of arborescence extends beyond mere data organization. It is integral to algorithms such as tree traversal methods, which allow programmers to navigate through complex data structures efficiently. For example, depth-first search and breadth-first search are two common techniques used to explore arborescence structures. These methods enable the extraction of valuable insights from large datasets, making them indispensable tools in data analysis.The application of arborescence is also evident in the field of artificial intelligence. Decision trees, a popular model used in machine learning, are essentially a form of arborescence. They help in making decisions based on input features, branching out into different outcomes based on the criteria set by the model. This demonstrates how the concept of arborescence serves as a foundation for building intelligent systems that can learn from data and improve over time.In a broader context, arborescence can symbolize growth and evolution. Just as trees grow and branch out, ideas and concepts can develop and expand in various directions. This metaphorical interpretation encourages individuals to think creatively and explore new possibilities. In personal and professional development, one might envision their journey as an arborescence, where each experience and skill acquired acts as a branch leading to new opportunities. In conclusion, the term arborescence encompasses a rich array of meanings and applications across multiple disciplines. From its mathematical origins to its practical uses in technology and artificial intelligence, understanding arborescence is essential for anyone looking to delve deeper into the world of data structures and hierarchical systems. By recognizing the importance of this concept, we can better appreciate the intricate designs that govern both nature and technology, ultimately leading to more innovative solutions and advancements in various fields. Thus, whether we are navigating the complexities of a file system or exploring the depths of machine learning, the principles of arborescence remain a guiding force in our pursuit of knowledge and understanding.

在计算机科学领域，术语arborescence指的是一种树状结构，用于表示层次数据。这个概念不仅在组织信息方面是基础，而且在各种算法和数据管理系统中也起着至关重要的作用。arborescence的理念可以追溯到其在数学和生物学中的根源，在这些领域，它描述了自然界中发现的分支结构，如树木和灌木。就像一棵树有其主干和分支一样，arborescence由节点通过边连接而成，形成从根到叶子的清晰路径。arborescence在计算机科学中的重要性不容小觑。例如，在数据库中，数据通常以类似于arborescence的方式组织，从而实现高效的查询和检索。当我们考虑计算机上的文件系统时，它们也是以层次化的方式构建，类似于arborescence。每个文件夹可以包含子文件夹和文件，创建出一种嵌套的组织方式，使用户易于导航。此外，arborescence的概念超越了简单的数据组织。它对于诸如树遍历方法等算法至关重要，这些方法使程序员能够高效地遍历复杂的数据结构。例如，深度优先搜索和广度优先搜索是两种常用的技术，用于探索arborescence结构。这些方法使得从大型数据集中提取有价值的见解成为可能，使其成为数据分析中不可或缺的工具。arborescence的应用在人工智能领域也显而易见。决策树是一种流行的机器学习模型，本质上是一种arborescence。它们根据输入特征帮助做出决策，根据模型设定的标准分支出不同的结果。这表明arborescence的概念作为构建智能系统的基础，能够从数据中学习并随着时间的推移而改进。在更广泛的背景下，arborescence可以象征成长和演变。正如树木生长和分支一样，想法和概念也可以在各个方向上发展和扩展。这种隐喻式的解释鼓励个人创造性思考，探索新的可能性。在个人和职业发展中，人们可能会将自己的旅程视为arborescence，其中每一次经历和技能的获得都像是通往新机会的分支。总之，术语arborescence涵盖了跨多个学科的丰富含义和应用。从其数学起源到在技术和人工智能中的实际应用，理解arborescence对任何希望深入了解数据结构和层次系统的人来说都是必不可少的。通过认识到这一概念的重要性，我们可以更好地欣赏支配自然和技术的复杂设计，最终推动各个领域的创新解决方案和进步。因此，无论我们是在导航文件系统的复杂性，还是在探索机器学习的深度，arborescence的原则始终是我们追求知识和理解的指导力量。