acyclic
简明释义
adj. 非循环的;[物] 非周期的
英英释义
单词用法
非循环图;无圈图 |
同义词
非循环的 | 一个非循环图没有环。 | ||
线性的 | 线性过程比循环过程更容易分析。 | ||
单向的 | In a unidirectional flow system, data moves in one direction only. | 在单向流动系统中,数据只能朝一个方向移动。 |
反义词
循环的 | The cyclic nature of the seasons affects agricultural practices. | 季节的循环特性影响农业实践。 | |
重复的 | Recurrent themes in literature often highlight universal human experiences. | 文学中的重复主题通常强调普遍的人类经验。 |
例句
1.Is it practical to store unique paths through a directed acyclic graph?
这是存储唯一的路径通过一个有向无环图的现实?
2.A 3-wire connection can communicate process data, as well as acyclic data to both sensors and actuators.
可通过3线接点将过程数据以及非循环数据传递给相应设备传感器和执行器。
3.Acyclic database has many good characteristics, so acyclic is an important characteristic for database schema.
无环数据库有许多优良特性,因此,无环成为判断数据库模式优劣的重要特性。
4.Thus, the directed cyclic network has been transformed into a directed acyclic network.
这样有向有环网络被转化成了有向无环网络。
5.The correlation results show that the method is valuable in understanding the structure performance relationship for the antiknock of acyclic alkanes.
结果表明,该方法有助于理解烷烃抗爆性能的结构-性能关系。
6.A Dryad job is a graph generator which can synthesize any directed acyclic graph.
Dryad job是个图形生成器,可以合成任意方向的无圈图。
7.An acyclic 无环的 workflow ensures that tasks are completed in a linear order without looping back.
一个acyclic 无环的 工作流确保任务以线性顺序完成而不重复。
8.In programming, an acyclic 无环的 dependency graph simplifies package management.
在编程中,acyclic 无环的 依赖图简化了包管理。
9.In computer science, a directed graph is considered acyclic 无环的 if it contains no cycles.
在计算机科学中,如果有向图不包含环,则被认为是acyclic 无环的。
10.The acyclic 无环的 nature of the project timeline helps in avoiding delays.
项目时间线的acyclic 无环的 特性有助于避免延误。
11.The acyclic 无环的 behavior of the system prevents infinite loops during execution.
系统的acyclic 无环的 行为防止了执行过程中的无限循环。
作文
In the realm of computer science and mathematics, the concept of an acyclic graph is fundamental to understanding various algorithms and data structures. An acyclic graph is one that does not contain any cycles, meaning there is no way to start at a node and follow a path that eventually loops back to that same node. This property is crucial in many applications, including scheduling tasks, organizing data, and optimizing routes.For instance, consider the task scheduling problem where certain tasks must be completed before others can begin. If we represent these tasks and their dependencies as a directed graph, ensuring that this graph is acyclic allows us to determine a valid order of execution. If the graph were to contain a cycle, it would imply a circular dependency among tasks, making it impossible to complete them without violating the prerequisites.Another area where acyclic structures are important is in databases. When designing a relational database, it is often beneficial to use acyclic relationships to avoid redundancy and maintain data integrity. For example, if we have a database of employees and departments, we want to ensure that an employee cannot belong to multiple departments in a way that creates a cycle. By keeping the relationships acyclic, we simplify queries and improve performance.In the context of programming languages, particularly those that support functional programming paradigms, acyclic structures play a significant role in managing state and control flow. For instance, in functional programming, functions are often represented as nodes in a graph, and if the graph is acyclic, it ensures that functions do not call themselves directly or indirectly, which could lead to infinite recursion. This acyclic nature allows for more predictable behavior and easier reasoning about code execution.Moreover, in the field of artificial intelligence, acyclic graphs are used in decision-making processes. Decision trees, for example, are a common structure that is inherently acyclic. Each node represents a decision point, and the branches lead to further decisions or outcomes without forming any loops. This acyclic nature allows for clear paths of reasoning, enabling algorithms to make optimal choices based on available information.The significance of acyclic structures extends beyond theoretical concepts; they have practical implications in software development, system design, and even in everyday problem-solving scenarios. Understanding and utilizing acyclic graphs can lead to more efficient solutions and a deeper comprehension of the underlying principles governing complex systems.In conclusion, the term acyclic refers to structures devoid of cycles, which is a critical attribute in various fields such as computer science, mathematics, and engineering. Whether dealing with task scheduling, database design, programming paradigms, or decision-making processes, recognizing the importance of acyclic relationships can significantly enhance our ability to analyze and solve problems effectively. As we continue to explore the intricacies of these concepts, the value of acyclic structures will undoubtedly remain a cornerstone of logical reasoning and computational efficiency.
在计算机科学和数学领域,无环图的概念是理解各种算法和数据结构的基础。无环图是指不包含任何环路的图,这意味着没有办法从一个节点开始,沿着一条路径最终回到同一个节点。这一特性在许多应用中至关重要,包括任务调度、数据组织和路线优化。例如,考虑任务调度问题,其中某些任务必须在其他任务开始之前完成。如果我们将这些任务及其依赖关系表示为有向图,确保该图是无环的,可以帮助我们确定一个有效的执行顺序。如果图中存在一个环路,那么这将意味着任务之间存在循环依赖,使得在不违反前提条件的情况下无法完成它们。在数据库领域,无环结构同样重要。在设计关系型数据库时,通常会使用无环关系来避免冗余并维护数据完整性。例如,如果我们有一个员工和部门的数据库,我们希望确保一个员工不能以创建循环的方式属于多个部门。通过保持关系无环,我们简化了查询并提高了性能。在编程语言的上下文中,特别是那些支持函数式编程范例的语言,无环结构在管理状态和控制流方面发挥着重要作用。例如,在函数式编程中,函数通常表示为图中的节点,如果图是无环的,这确保了函数不会直接或间接地调用自身,从而导致无限递归。这种无环特性允许更可预测的行为,并使得对代码执行的推理变得更加容易。此外,在人工智能领域,无环图被用于决策过程。例如,决策树是一种常见的结构,其本质上是无环的。每个节点代表一个决策点,而分支则通向进一步的决策或结果,而不会形成任何循环。这种无环特性允许清晰的推理路径,使算法能够根据可用信息做出最佳选择。无环结构的重要性超越了理论概念;它们在软件开发、系统设计甚至日常问题解决场景中都有实际意义。理解和利用无环图可以导致更高效的解决方案,并加深我们对复杂系统所遵循的基本原理的理解。总之,无环一词指的是没有环路的结构,这在计算机科学、数学和工程等多个领域都是一个关键属性。无论是处理任务调度、数据库设计、编程范例还是决策过程,认识到无环关系的重要性都能显著增强我们分析和有效解决问题的能力。随着我们继续探索这些概念的复杂性,无环结构的价值无疑将继续成为逻辑推理和计算效率的基石。