truncation

简明释义

英[trʌŋˈkeɪʃn]美[ˈtrʌŋkeɪʃn]

n. 截断；切掉顶端

英英释义

单词用法

同义词

反义词

例句

1.False edges due to truncation artifacts can be removed using this method.

本方法可以有效地剔除由截断伪影而引入的虚假边缘。

2.If you have no image effect present then no tone mapping will exist and intensity truncation will occur.

如果你当前没有图像效果那么将不会发生色调映射和发生强度截断。

3.Block truncation coding (BTC) is an efficient and fast lossy image coding technique.

块截短编码(BTC)是一种快速有效的有损图像编码技术。

4.New CWF message set property for truncation of fixed length strings.

用于截断固定长度字符串的新的CWF消息集属性。

5.In addition to right truncation, left and simultaneous left and right truncation are available in the Basic Index.

在附加到右边截断，左边和同时的左边和右边截断在基本索引中是可得的。

6.In the German environment, though, the same field, now labeled with a longer string, can cause a truncation problem, as shown in figure 18.

但是，在德语环境中，这个文本字段使用了更长的字符串标签，这可能导致截断问题，如图18所示。

7.Finally, both TDS and Custom Wire Format (CWF) allow the automatic truncation of oversize fixed length string fields when a message is output.

最后，在输出消息时，TDS和自定义有线格式(CWF)允许自动截断过大的固定长度字符串字段。

8.In programming, truncation can lead to loss of precision in calculations.

在编程中，截断可能导致计算精度的丧失。

9.During data processing, truncation of floating-point numbers can occur if not handled correctly.

在数据处理过程中，如果处理不当，浮点数可能会发生截断。

10.The database returned an error due to the truncation of data exceeding the character limit.

由于数据超出字符限制，数据库返回了一个错误，原因是数据的截断。

11.The report was too long, so we had to make a truncation to fit it into the presentation.

报告太长了，所以我们不得不进行截断以便将其放入演示文稿中。

12.The truncation of the video file resulted in a loss of important scenes.

视频文件的截断导致了一些重要场景的丢失。

作文

In the world of data processing and computer science, the term truncation refers to the process of shortening something by cutting off a part of it. This concept is particularly significant in various fields such as statistics, programming, and even mathematics. Understanding truncation is essential for anyone who works with data or algorithms, as it can greatly affect the outcome of analyses and computations.For instance, when dealing with floating-point numbers in programming, truncation occurs when a number is rounded down to a certain number of decimal places. This can lead to loss of precision, which is critical in applications where accuracy is paramount. For example, in financial calculations, a small error due to truncation could result in significant monetary discrepancies over time. Thus, programmers must be cautious about how they handle numerical data to avoid unintended consequences.Moreover, in statistics, truncation can refer to the deliberate omission of certain data points from a dataset. This can happen for various reasons, such as removing outliers that may skew the results or focusing on a specific range of data that is of particular interest. While truncation can help simplify analysis and make results more interpretable, it also raises concerns about the integrity of the data. Researchers must ensure that their decisions regarding truncation do not introduce bias or mislead stakeholders.In mathematics, truncation often appears in the context of series or sequences. When approximating a function or calculating limits, mathematicians may truncate a series after a certain number of terms to simplify calculations. This method can provide a quick estimate, but it also comes with the risk of losing important information. Therefore, understanding the implications of truncation is crucial for mathematicians who seek accurate results while balancing computational efficiency.Another area where truncation plays a vital role is in the field of natural language processing (NLP). In NLP, algorithms often need to process large volumes of text data. To manage this effectively, developers might use truncation to limit the length of input sequences. This allows models to run more efficiently, but it can also lead to a loss of context or meaning if important information is cut off. Consequently, finding the right balance between performance and accuracy is a key challenge in the design of NLP systems.In conclusion, truncation is a multifaceted concept that permeates various domains, including programming, statistics, mathematics, and natural language processing. While it offers benefits such as simplification and efficiency, it also poses risks related to precision and data integrity. As we continue to advance in technology and data analysis, a deeper understanding of truncation will be essential for ensuring that we make informed decisions based on the data we work with. By recognizing the implications of truncation, we can better navigate the complexities of data-driven environments and enhance the quality of our analyses and outcomes.

在数据处理和计算机科学的世界中，术语truncation指的是通过切割某个部分来缩短某物的过程。这个概念在统计学、编程甚至数学等多个领域都尤为重要。理解truncation对于任何处理数据或算法的人来说都是必不可少的，因为它会极大地影响分析和计算的结果。例如，在编程中处理浮点数时，当一个数字被四舍五入到某个小数位数时，就会发生truncation。这可能导致精度的损失，而在需要高度准确的应用中，这一点至关重要。例如，在财务计算中，由于truncation造成的小错误在一段时间内可能导致显著的货币差异。因此，程序员必须小心处理数值数据，以避免意外后果。此外，在统计学中，truncation可以指故意从数据集中省略某些数据点。这种情况可能出于各种原因，例如去除可能扭曲结果的异常值，或专注于特定范围的数据。虽然truncation可以帮助简化分析并使结果更易于解释，但它也引发了关于数据完整性的担忧。研究人员必须确保他们有关truncation的决策不会引入偏见或误导利益相关者。在数学中，truncation通常出现在级数或序列的上下文中。在逼近函数或计算极限时，数学家可能会在一定数量的项之后截断一个级数以简化计算。这种方法可以提供快速的估计，但也有丢失重要信息的风险。因此，理解truncation的影响对于寻求准确结果的数学家至关重要，同时还要平衡计算效率。Truncation在自然语言处理（NLP）领域也发挥着重要作用。在NLP中，算法通常需要处理大量文本数据。为了有效管理这些数据，开发人员可能会使用truncation来限制输入序列的长度。这使得模型能够更高效地运行，但如果重要信息被切断，也可能导致上下文或意义的丧失。因此，在设计NLP系统时，找到性能与准确性之间的平衡是一个关键挑战。总之，truncation是一个多面向的概念，渗透到编程、统计学、数学和自然语言处理等多个领域。虽然它提供了简化和效率等好处，但也带来了与精度和数据完整性相关的风险。随着我们在技术和数据分析方面的不断进步，更深入地理解truncation将对确保我们基于所处理数据做出明智决策至关重要。通过认识到truncation的影响，我们可以更好地驾驭数据驱动环境的复杂性，提高我们的分析和结果的质量。