single pass
简明释义
单通道的
英英释义
A single pass refers to a process or operation that is completed in one continuous motion or cycle, without the need for repetition or multiple iterations. | 单次通过是指在一个连续的运动或周期中完成的过程或操作,无需重复或多次迭代。 |
例句
1.This software allows for a single pass 单次通过 encoding of video files.
这个软件允许对视频文件进行单次通过 单次通过编码。
2.The printer is designed to print on both sides in a single pass 单次通过.
这台打印机设计为可以在单次通过 单次通过中双面打印。
3.The scanner can process documents in a single pass 单次通过, which saves time.
这个扫描仪可以在单次通过 单次通过中处理文件,这样能节省时间。
4.The single pass 单次通过 method improves efficiency in data processing.
这种单次通过 单次通过的方法提高了数据处理的效率。
5.With a single pass 单次通过 of the data, we can quickly analyze the results.
通过单次通过 单次通过数据,我们可以快速分析结果。
作文
In the world of computer science, efficiency is a key factor that often determines the success of algorithms and processes. One concept that embodies this pursuit of efficiency is the idea of a single pass. A single pass refers to a method of processing data in one go, without the need for multiple iterations or passes over the same data set. This approach can significantly reduce the time complexity of an algorithm, making it particularly valuable in situations where speed is crucial. For instance, consider the process of sorting a large array of numbers. Traditional sorting algorithms, like bubble sort, may require multiple passes through the data to achieve a sorted result. In contrast, an algorithm that employs a single pass technique could potentially sort the data in just one traversal, thus saving time and computational resources.The benefits of a single pass approach extend beyond just speed. It also simplifies the code and reduces the amount of memory required for intermediate storage. When an algorithm can operate on data with a single pass, it minimizes the overhead associated with maintaining multiple copies of the data or managing complex data structures. This simplicity not only makes the code easier to read and maintain but also lowers the likelihood of bugs and errors.Moreover, the single pass strategy can be applied in various fields beyond computer science. For example, in data analysis, a single pass method can be used to compute statistics such as the mean or median without having to store all the data points in memory. By processing each data point as it comes in, analysts can derive valuable insights quickly and efficiently.However, achieving a single pass solution is not always straightforward. Some problems inherently require multiple passes due to their complexity. For instance, when dealing with graph algorithms, it may be necessary to revisit nodes multiple times to ensure all connections are accounted for. In such cases, while a single pass might not be feasible, optimizing the number of passes and the operations performed in each pass can still lead to significant improvements in performance.In conclusion, the concept of a single pass is a powerful tool in the arsenal of programmers and data scientists alike. It represents a commitment to efficiency, simplicity, and effectiveness in problem-solving. Whether it’s sorting data, analyzing trends, or navigating complex systems, the ability to process information in a single pass can make a substantial difference in the outcome. As technology continues to evolve and the volume of data grows, mastering techniques that allow for single pass processing will become increasingly important for anyone working in the field of data management and analysis.
在计算机科学的世界中,效率是一个关键因素,它往往决定了算法和过程的成功。一个体现这种追求效率的概念是单次处理的思想。单次处理指的是在一次性处理数据的方法,而无需对同一数据集进行多次迭代或遍历。这种方法可以显著减少算法的时间复杂度,使其在速度至关重要的情况下特别有价值。例如,考虑对大量数字数组进行排序的过程。传统的排序算法,如冒泡排序,可能需要多次遍历数据才能达到排序结果。相比之下,采用单次处理技术的算法可能只需一次遍历就能排序,从而节省时间和计算资源。单次处理方法的好处不仅限于速度。它还简化了代码并减少了对中间存储的内存需求。当一个算法能够通过单次处理来操作数据时,它最小化了维护多个数据副本或管理复杂数据结构所需的开销。这种简单性不仅使代码更易于阅读和维护,而且降低了出现错误和漏洞的可能性。此外,单次处理策略可以应用于计算机科学以外的各种领域。例如,在数据分析中,可以使用单次处理方法计算均值或中位数,而无需将所有数据点存储在内存中。通过在数据到达时逐个处理每个数据点,分析师可以快速有效地得出有价值的见解。然而,实现单次处理解决方案并非总是简单。有些问题由于其复杂性固有地需要多次处理。例如,在处理图算法时,可能需要多次访问节点,以确保所有连接都被考虑到。在这种情况下,尽管单次处理可能不可行,但优化遍历的次数和每次遍历中执行的操作仍然可以显著提高性能。总之,单次处理的概念是程序员和数据科学家工具箱中的一种强大工具。它代表了对效率、简单性和有效性在解决问题方面的承诺。无论是排序数据、分析趋势还是导航复杂系统,能够在单次处理中处理信息都能对结果产生重大影响。随着技术的不断发展和数据量的增长,掌握允许单次处理的技术将变得越来越重要,尤其对于任何从事数据管理和分析工作的人来说。