sequencing computation

简明释义

顺序计算

英英释义

例句

1.In bioinformatics, sequencing computation 序列计算 is essential for analyzing DNA sequences.

在生物信息学中，sequencing computation 序列计算 对于分析DNA序列至关重要。

2.Researchers are developing methods to improve sequencing computation 序列计算 accuracy in genome mapping.

研究人员正在开发方法，以提高基因组绘制中sequencing computation 序列计算的准确性。

3.The algorithm's efficiency largely depends on the accuracy of the sequencing computation 序列计算 involved.

该算法的效率在很大程度上取决于所涉及的sequencing computation 序列计算的准确性。

4.The sequencing computation 序列计算 process can be complex and requires specialized knowledge.

sequencing computation 序列计算 过程可能很复杂，需要专业知识。

5.Our new software optimizes sequencing computation 序列计算 to reduce processing time significantly.

我们的新软件优化了sequencing computation 序列计算，显著减少了处理时间。

作文

In the realm of computer science, the concept of sequencing computation is fundamental to understanding how algorithms and processes are structured. Essentially, sequencing computation refers to the execution of operations in a specific order, which is crucial for achieving desired outcomes in programming and data processing. Without proper sequencing, programs can yield incorrect results or fail to execute altogether. This aspect of computation is akin to following a recipe; each step must be completed in the right order to create a successful dish.To illustrate the importance of sequencing computation, consider a simple example of making a cup of coffee. The process involves several steps: boiling water, adding coffee grounds, and finally pouring the hot water over the coffee. If any of these steps are performed out of order—such as adding coffee grounds before boiling the water—the result will not be what was intended. Similarly, in programming, if commands are executed in the wrong sequence, the program may crash or produce errors.Moreover, sequencing computation plays a significant role in various fields such as artificial intelligence, data analysis, and software development. In AI, for instance, algorithms often rely on a specific sequence of computations to learn from data and make predictions. Each computation builds on the previous one, creating a chain of logic that leads to more accurate outcomes. This sequential nature is vital for ensuring that the model evolves correctly based on the input it receives.In data analysis, the need for sequencing computation becomes even more pronounced. When analyzing large datasets, analysts must follow a series of steps to clean, process, and visualize the data. Each stage of this process depends on the successful completion of the previous one. For example, data cleaning must occur before any statistical analysis can take place, as dirty data can skew results and lead to misleading conclusions. Therefore, understanding the sequence in which computations must occur is essential for deriving meaningful insights from data.Furthermore, in software development, sequencing computation is critical for ensuring that applications function smoothly. Developers use various methodologies, such as Agile or Waterfall, which emphasize the importance of completing tasks in a logical sequence. By adhering to these sequences, teams can manage their workloads effectively and deliver high-quality software products. If a team were to skip steps in the development process, it could result in bugs, security vulnerabilities, and ultimately, user dissatisfaction.In conclusion, sequencing computation is a foundational concept in computer science that impacts many areas, including programming, artificial intelligence, data analysis, and software development. Understanding how to properly sequence computations allows professionals in these fields to achieve their goals efficiently and effectively. As technology continues to evolve, the significance of mastering sequencing computation will only grow, making it an essential skill for anyone looking to excel in the tech industry.

在计算机科学领域，sequencing computation这一概念对于理解算法和过程的结构至关重要。基本上，sequencing computation指的是以特定顺序执行操作，这对于编程和数据处理中的预期结果至关重要。如果没有正确的顺序，程序可能会产生错误的结果或根本无法执行。这一计算方面类似于遵循食谱；每一步都必须按正确的顺序完成，才能制作出成功的菜肴。为了说明sequencing computation的重要性，可以考虑一个简单的例子：制作一杯咖啡。这个过程涉及几个步骤：烧水、加入咖啡粉，最后将热水倒入咖啡中。如果这些步骤中的任何一个步骤被错位执行——例如在烧水之前添加咖啡粉——那么结果就不会是预期的。类似地，在编程中，如果命令以错误的顺序执行，程序可能会崩溃或产生错误。此外，sequencing computation在人工智能、数据分析和软件开发等多个领域也扮演着重要角色。例如，在人工智能中，算法通常依赖于特定的计算序列来从数据中学习并做出预测。每个计算都建立在前一个计算的基础上，形成一个逻辑链条，导致更准确的结果。这种顺序性质对于确保模型根据接收到的输入正确演变至关重要。在数据分析中，对sequencing computation的需求变得更加明显。当分析大型数据集时，分析师必须遵循一系列步骤来清理、处理和可视化数据。这个过程的每个阶段都依赖于前一个阶段的成功完成。例如，数据清理必须在任何统计分析之前进行，因为脏数据可能会扭曲结果并导致误导性结论。因此，理解计算必须发生的顺序对于从数据中获得有意义的见解至关重要。此外，在软件开发中，sequencing computation对于确保应用程序顺利运行至关重要。开发人员使用各种方法论，例如敏捷开发或瀑布模型，这些方法强调以逻辑顺序完成任务的重要性。通过遵循这些顺序，团队可以有效管理工作负载，并交付高质量的软件产品。如果一个团队跳过开发过程中的步骤，可能会导致漏洞、安全隐患，最终导致用户不满。总之，sequencing computation是计算机科学中的一个基础概念，影响着编程、人工智能、数据分析和软件开发等多个领域。理解如何正确地对计算进行排序，使这些领域的专业人士能够高效、有效地实现他们的目标。随着技术的持续发展，掌握sequencing computation的重要性只会增加，这使其成为任何希望在科技行业中脱颖而出的人必备的技能。