computational
简明释义
英[ˌkɒmpjuˈteɪʃənl]美[ˌkɑːmpjuˈteɪʃənl]
adj. 计算的
英英释义
Relating to or using computers, especially in the context of processing data or performing calculations. | 与计算机相关或使用计算机，特别是在处理数据或执行计算的上下文中。 |
单词用法
计算复杂性 | |
计算效率 |
同义词
| 算法的 | Algorithmic complexity is a key factor in computational theory. | 算法复杂性是计算理论中的一个关键因素。 | |
| 计算的 | 计算方法通常用于数据分析。 | ||
| 数字的 | 数字模拟有助于理解复杂系统。 | ||
| 分析的 | 分析技术可以提高计算效率。 |
反义词
例句
1.I'm a computational neuroscientist.
我是一个计算机神经学家。
2.The product should not consume significant computational power and time from the server environment.
该产品不应消耗服务器环境的大量计算能力和时间。
3.That's where literature analysis and computational modeling can help. It prioritizes.
这就是文献分析和计算的建模能帮忙的地方，因为它能做出优先次序区分。
4.The non-computational file cache size in MB
非计算文件缓存大小，以 MB 为单位
5.But computational power is nothing without software.
不过，计算能力离不开软件。
6.It also allows applications to harness the computational muscle of a network of machines.
它也使应用程序可以利用机器网络的计算能力。
7.The product should not consume significant computational power and time from the server environment.
该产品不应消耗服务器环境的大量计算能力和时间。
8.The computational 计算的 power of modern computers allows for complex simulations.
现代计算机的计算的能力允许进行复杂的模拟。
9.Scientists use computational 计算的 models to simulate climate change effects.
科学家使用计算的模型来模拟气候变化的影响。
10.The new software offers advanced computational 计算的 tools for data analysis.
这款新软件提供了先进的计算的数据分析工具。
11.He is working on a computational 计算的 project to optimize traffic flow in cities.
他正在进行一个计算的项目，以优化城市的交通流量。
12.In computational 计算的 biology, algorithms help analyze genetic sequences.
在计算的生物学中，算法帮助分析基因序列。
作文
In today's rapidly evolving technological landscape, the term computational (计算的) has become increasingly significant. It refers to anything related to the process of calculation or the use of computers to perform tasks that require complex mathematical operations. As we delve deeper into the realm of science and technology, understanding the implications of computational (计算的) methods is crucial for both academic and practical applications.One of the most prominent areas where computational (计算的) techniques are employed is in the field of data analysis. With the advent of big data, organizations are inundated with vast amounts of information. Traditional methods of data processing are often insufficient to handle such volumes. This is where computational (计算的) algorithms come into play, enabling analysts to sift through data efficiently and extract meaningful insights. For instance, machine learning, a subset of artificial intelligence, relies heavily on computational (计算的) models to predict outcomes based on historical data.Moreover, computational (计算的) simulations have transformed research across various disciplines. In physics, researchers utilize computational (计算的) simulations to model complex phenomena such as climate change or the behavior of subatomic particles. These simulations allow scientists to test hypotheses and visualize scenarios that would be impossible to replicate in a laboratory setting. Similarly, in biology, computational (计算的) biology has emerged as a vital field, where researchers analyze genetic sequences and biological systems using advanced algorithms.The significance of computational (计算的) thinking extends beyond specialized fields. It has become a fundamental skill in education, fostering problem-solving abilities and logical reasoning among students. By integrating computational (计算的) thinking into curricula, educators prepare students for a future where technology plays an integral role in everyday life. This approach not only enhances students’ understanding of technology but also encourages creativity and innovation.However, the reliance on computational (计算的) methods raises important ethical considerations. As we increasingly depend on algorithms to make decisions, questions about bias, privacy, and accountability come to the forefront. For example, if a computational (计算的) model used in hiring processes is biased against certain demographics, it can perpetuate inequality. Therefore, it is imperative for developers and researchers to prioritize ethical standards in the design and implementation of computational (计算的) systems.In conclusion, the concept of computational (计算的) encompasses a wide range of applications and implications in our modern world. From enhancing data analysis to revolutionizing scientific research, computational (计算的) methods are at the heart of many advancements. As we continue to explore the potential of technology, fostering a robust understanding of computational (计算的) principles will be essential. Embracing this knowledge not only empowers individuals but also equips society to navigate the challenges and opportunities of the digital age.
