representable

简明释义

英[ˌreprɪˈzentəbl]美[ˌriprɪˈzentəbl]

adj. 能被代表的；能上演的；能被描绘的

英英释义

单词用法

同义词

反义词

例句

1.This is the largest number representable with standard Roman numeral notation.

这是罗马符号中能表示出来的最大数字。

2.Third, all aspects of meaning are representable in phrase. marker form.

第三，意义的各个方面都可以用短语生成的方式来描写。

3.If the scaled value is not in the range of representable values for its type, the program is ill -formed.

如果乘积值不在其表达的值域内，则程序就是病态形式的。

4.Substitution characters can be introduced at this point as well, if the serialized XML contains characters not representable in the database code page, or not representable in the client code page.

在这个时候，如果串行化XML包含数据库代码页中不能表示的字符，或者在客户机代码页中不能表示的字符，就可能引入替换字符。

5.Given the same number of bits, unsigned integers usually represent twice the number of absolute values representable by signed integers.

给予相同的位元，无号整数通常能表示由有号整数所代表的值的绝对值的两倍数目。

6.Based on the above 12 items, which three items do you think is the most unimportant? Please write the representable number below.

根据以上12项，哪三项你认为是最不重要？请写下相应的号码。

7.The canonical XML schema format specifies the elements that can be defined in a classification taxonomy representable in WebSphere Service Registry and Repository.

规范XMLschema格式指定了能够在WebSphereServiceRegistry andRepository中可表示的类别分类中定义的元素。

8.Substitution characters can be introduced at this point as well, if the serialized XML contains characters not representable in the database code page, or not representable in the client code page.

在这个时候，如果串行化XML包含数据库代码页中不能表示的字符，或者在客户机代码页中不能表示的字符，就可能引入替换字符。

9.The artist's work is highly representable in modern galleries.

这位艺术家的作品在现代画廊中高度可表现。

10.Only the most relevant information is representable in the final report.

最终报告中只有最相关的信息是可表示的。

11.In this context, the results are representable in a variety of formats.

在这种情况下，结果可以以多种格式表示。

12.The model is representable through various simulations.

该模型可以通过各种模拟表示。

13.The data we collected is not easily representable, which makes analysis difficult.

我们收集的数据不易表示，这使得分析变得困难。

作文

In the field of mathematics and computer science, the concept of being representable is crucial for understanding how complex systems can be modeled and analyzed. To say that a mathematical object or a computational problem is representable means that it can be expressed in a certain format or through a specific framework. This idea is not just limited to abstract concepts but also extends to real-world applications such as data visualization and algorithm design.For instance, consider the case of data structures in computer programming. A data structure is said to be representable if it can efficiently store and manage data in a way that allows for easy access and manipulation. The choice of a representable data structure can greatly affect the performance of an algorithm. For example, using a hash table can provide constant time complexity for lookups, while a linked list may lead to linear time complexity. Hence, understanding which data structures are representable for a given problem is essential for software developers.Moreover, in the context of graphical representations, the term representable takes on another dimension. When we talk about visualizing data, we often seek to create graphs or charts that can effectively communicate information. A dataset is representable in a visual format if it can be translated into a graph that accurately reflects its underlying patterns. For example, a scatter plot is a representable form of displaying the relationship between two variables, allowing viewers to quickly grasp trends and correlations.Additionally, the notion of representable extends to theoretical frameworks in various disciplines. In economics, for instance, preferences are considered representable if they can be depicted through a utility function. This representation allows economists to analyze consumer behavior and make predictions about market trends. Similarly, in psychology, concepts like personality traits can be representable through models that categorize individuals based on their behaviors and preferences.The importance of representable concepts is evident in the advancement of artificial intelligence (AI) and machine learning. Algorithms used in these fields often rely on representable features extracted from raw data. The process of feature engineering involves selecting and transforming input data into a form that can be effectively utilized by machine learning models. If the features are not representable, the model may struggle to learn from the data, leading to poor performance.In conclusion, the term representable encapsulates a fundamental aspect of how we understand and interact with various domains of knowledge. Whether it is in mathematics, computer science, economics, or psychology, the ability to represent objects, problems, or concepts in a meaningful way is paramount. As we continue to explore new technologies and methodologies, the quest for better representable forms will remain a driving force in our pursuit of knowledge and innovation. Understanding what is representable and how to effectively leverage it will undoubtedly shape the future of research and development across multiple disciplines.

在数学和计算机科学领域，representable这一概念对于理解复杂系统如何建模和分析至关重要。说一个数学对象或计算问题是representable，意味着它可以以某种格式或通过特定框架来表达。这一思想不仅限于抽象概念，还扩展到数据可视化和算法设计等现实应用。例如，考虑计算机编程中的数据结构。当一个数据结构能够有效地存储和管理数据，从而便于访问和操作时，它被称为representable。选择一个representable的数据结构可以极大影响算法的性能。例如，使用哈希表可以提供常数时间复杂度的查找，而链表可能导致线性时间复杂度。因此，理解哪些数据结构对给定问题是representable，对软件开发人员至关重要。此外，在图形表示的背景下，representable这个术语又有了另一层含义。当我们谈论数据可视化时，我们通常希望创建能够有效传达信息的图表或图形。如果一个数据集可以转换为准确反映其基本模式的图形，那么它就是representable的。例如，散点图是一种representable的形式，用于展示两个变量之间的关系，使观众能够迅速把握趋势和相关性。另外，representable的概念还扩展到各学科的理论框架。在经济学中，偏好被认为是representable的，如果它们可以通过效用函数来描绘。这种表示方法使经济学家能够分析消费者行为并预测市场趋势。同样，在心理学中，像个性特征这样的概念可以通过模型进行representable，根据个体的行为和偏好对其进行分类。Representable概念的重要性在人工智能（AI）和机器学习的发展中显而易见。这些领域中使用的算法往往依赖于从原始数据中提取的representable特征。特征工程的过程涉及选择和转换输入数据，使其能够被机器学习模型有效利用。如果特征不是representable的，模型可能会难以从数据中学习，从而导致性能不佳。总之，representable这一术语概括了我们理解和与各种知识领域互动的基本方面。无论是在数学、计算机科学、经济学还是心理学中，以有意义的方式表示对象、问题或概念的能力都是至关重要的。随着我们继续探索新技术和方法，寻找更好的representable形式将始终是我们追求知识和创新的动力。理解什么是representable以及如何有效利用它，无疑将塑造我们在多个学科的研究和发展的未来。