discrete

简明释义

英[dɪˈskriːt]美[dɪˈskriːt]

adj. 分离的，各别的

英英释义

单词用法

同义词

反义词

例句

1.It automates and synchronizes business activities across multiple discrete applications.

它自动操作并使多个分散的应用程序之间的业务活动同步起来。

2.The output data of the job can be aggregated from discrete partitions of results.

可以从产生的不连续分区聚合作业的输出数据。

3.Thousands of discrete decisions on these matters go into creating a "brand profile.

数以千计的不相干的决定才创造一个品牌简单的概况。

4.Until the mid-17th century, maths had been required to handle only discrete variables.

直到17世纪中期，数学只能处理离散变量。

5.Horses evolved in discrete steps, each of which persisted almost unchanged for millions of years and was eventually replaced by a distinctive newer model.

马是分阶段进化的，每一阶段都几乎保持了数百万年的不变，而最终被一种独特的新型马所取代。

6.It's not discrete, it's continuous.

它不是分立的，它是连续的。

7.XML streams communicate XML stanzas, which are discrete units of information.

xml流传递xml节，这些xml节是一些分散的信息单元。

8.In mathematics, a discrete 离散的 set consists of distinct, separate values.

在数学中，一个离散的集合由不同的、分开的值组成。

9.In computer science, discrete 离散的 structures are essential for data organization.

在计算机科学中，离散的结构对于数据组织至关重要。

10.The discrete 离散的 nature of the data made it easier to analyze.

数据的离散的特性使得分析变得更加容易。

11.Each discrete 离散的 event was recorded separately in the database.

每个离散的事件都在数据库中单独记录。

12.The software uses discrete 离散的 algorithms to solve complex problems.

该软件使用离散的算法来解决复杂问题。

作文

In the realm of mathematics and computer science, the term discrete refers to distinct or separate values that are not continuous. This concept is fundamental in various fields, including statistics, data analysis, and algorithm design. Understanding discrete structures is crucial for anyone looking to delve into these areas, as they often form the backbone of more complex systems. For instance, when we talk about discrete data, we are referring to data points that can be counted and have finite values, such as the number of students in a classroom or the results of a survey with multiple-choice answers.One of the most common examples of discrete values can be found in the realm of counting numbers. These numbers, which include integers like 1, 2, 3, and so on, are discrete because they do not have any intermediate values between them. In contrast, continuous values, such as measurements of height or weight, can take on any value within a given range. This distinction between discrete and continuous variables is essential when conducting statistical analyses, as it influences the choice of methods used for data interpretation.Furthermore, in computer science, discrete mathematics plays a vital role in understanding algorithms and data structures. Concepts such as graphs, trees, and sets are all examples of discrete structures that help in organizing and processing information efficiently. For example, a graph can represent relationships between different entities, where each node is a discrete point connected by edges. This representation is fundamental in network theory, social media analysis, and many other applications.Moreover, the importance of discrete structures extends beyond theoretical applications; they also have practical implications in real-world scenarios. For instance, consider the process of scheduling tasks in a project management context. Each task can be viewed as a discrete unit of work that needs to be completed within a specific timeframe. By analyzing these discrete tasks, project managers can allocate resources effectively, ensuring that deadlines are met and workloads are balanced.In addition to its applications in mathematics and computer science, the concept of discrete also appears in various other disciplines. In psychology, researchers often categorize behaviors into discrete types to analyze patterns and trends. Similarly, in economics, data points such as the number of goods sold or consumer preferences can be treated as discrete variables, allowing economists to make informed predictions and decisions.In conclusion, the term discrete encapsulates the idea of distinct and separate values that are essential in various fields of study. Whether in mathematics, computer science, psychology, or economics, understanding discrete structures allows for better analysis and interpretation of data. As we continue to navigate an increasingly data-driven world, the significance of discrete concepts will only grow, making it imperative for students and professionals alike to grasp their importance thoroughly.

在数学和计算机科学领域，术语discrete指的是不连续的、独立的或分开的值。这个概念在统计学、数据分析和算法设计等多个领域中都是基础。理解discrete结构对于任何想要深入这些领域的人来说都是至关重要的，因为它们往往构成更复杂系统的基础。例如，当我们谈论discrete数据时，我们是指可以被计数并且具有有限值的数据点，例如教室里的学生人数或多项选择调查的结果。discrete值的一个常见例子可以在计数数字的领域找到。这些数字，包括整数如1、2、3等，是discrete的，因为它们之间没有任何中间值。相反，连续值，如身高或体重的测量，可以在给定范围内取任何值。这种discrete和连续变量之间的区别在进行统计分析时至关重要，因为它影响用于数据解释的方法选择。此外，在计算机科学中，discrete数学在理解算法和数据结构方面发挥着重要作用。图、树和集合等概念都是帮助有效组织和处理信息的discrete结构的例子。例如，图可以表示不同实体之间的关系，其中每个节点是一个由边连接的discrete点。这种表示在网络理论、社交媒体分析和许多其他应用中都是基础。此外，discrete结构的重要性超越了理论应用；它们在现实世界场景中也有实际意义。例如，考虑项目管理中的任务调度过程。每个任务都可以视为需要在特定时间内完成的discrete工作单元。通过分析这些discrete任务，项目经理可以有效分配资源，确保截止日期得到满足，工作负载得到平衡。除了在数学和计算机科学中的应用，discrete的概念还出现在其他多个学科中。在心理学中，研究人员通常将行为分类为discrete类型，以分析模式和趋势。同样，在经济学中，诸如销售商品数量或消费者偏好等数据点可以被视为discrete变量，使经济学家能够做出明智的预测和决策。总之，术语discrete概括了独立和分开值的概念，这在多个研究领域中都是至关重要的。无论是在数学、计算机科学、心理学还是经济学中，理解discrete结构都有助于更好地分析和解释数据。随着我们继续在一个日益数据驱动的世界中航行，discrete概念的重要性只会增加，因此对学生和专业人士来说，彻底掌握其重要性是必要的。