computable

简明释义

英[kəmˈpjuːtəbl]美[kəmˈpjuːtəbl]

adj. 可计算的

英英释义

单词用法

同义词

反义词

例句

1.In the earlier discussion I discussed using HTTP 303 codes to give URIs to non-computable resources such as people and abstract qualities.

在之前的讨论中，我论及了使用HTTP 303代码将URI赋予非计算性资源，比如人和抽象的属性。

2.Computable logic function (LCF), ML and the parallel theory (CCS) which highlighted three areas and perfect.

由于在可计算函数逻辑(LCF)、ML和并行理论(CCS)这三个方面突出和完美的贡献。

3.The features computable , domain, and purpose characterize it as a branch of engineering.

可计算、领域和目的使得它具有工程的属性。

4.Alan Turing invented the programmable computer in 1936 (see Resources) as a thought experiment to show that certain mathematical problems were not computable.

AlanTuring在1936年发明可编程计算机(请参阅参考资料)是作为一种思想实验以证明某些数学问题不可计算。

5.But armed with Mathematica and NKS I realized there's another way: explicitly implement methods and models, as algorithms, and explicitly curate all data so that it is immediately computable.

但是，有了Mathematica和NKS这两件武器，我意识到还有另外一种方法：直接执行方法和模型(和算法一样)，直接补间所有数据，这样就可以进行计算。

6.All the information about any computable problem can be represented using only two nouns: 0 and 1.

所有关于可计算问题的信息都可以用0和1两个名词来表示。

7.Suppose astronomy were computable – that is, that the behaviour of everything in the universe could be modelled on a computer – this would not show that the universe is a computer.

假设，天文学是可计算的，那就是说，宇宙万物的行动都可以在计算机上复制出来；但这不能说明宇宙就是一台计算机。

8.The researchers focused on developing computable models for predicting climate change.

研究人员专注于开发用于预测气候变化的可计算的模型。

9.The algorithm is designed to solve any problem that is computable.

该算法旨在解决任何可计算的问题。

10.He demonstrated how computable functions can be used in real-world applications.

他演示了如何在实际应用中使用可计算的函数。

11.In mathematics, a function is considered computable if there exists an algorithm to compute its values.

在数学中，如果存在一个算法可以计算其值，则该函数被认为是可计算的。

12.Only computable problems can be solved using a computer program.

只有可计算的问题才能通过计算机程序解决。

作文

In the age of digital technology, the concept of what is computable has become increasingly significant. To understand this term, we must first delve into its definition. Something that is computable refers to a problem or function that can be solved or executed by a computer using a finite set of instructions. This idea is foundational in computer science and mathematics, as it delineates the boundaries of what machines can accomplish. The importance of computable functions cannot be overstated. In practical terms, they allow us to automate complex tasks, perform calculations at incredible speeds, and analyze vast amounts of data with ease. For instance, consider the algorithms used in search engines. They are designed to process user queries and retrieve relevant information from the web efficiently. These algorithms are based on computable functions that can handle various inputs and produce outputs in a fraction of a second.Moreover, the field of artificial intelligence (AI) heavily relies on the notion of computable problems. Machine learning algorithms, which enable computers to learn from data and improve their performance over time, are fundamentally computable. By training on computable datasets, these systems can identify patterns and make predictions, revolutionizing industries such as healthcare, finance, and transportation.However, not all problems are computable. There exist certain mathematical problems that are proven to be undecidable, meaning no algorithm can determine their solutions within a finite amount of time. A classic example is the Halting Problem, which asks whether a given program will finish running or continue indefinitely. This limitation poses intriguing questions about the capabilities of computation and the nature of intelligence itself.The exploration of computable functions leads us to consider the ethical implications of technology. As we develop more advanced algorithms, we must also grapple with issues such as privacy, security, and bias. For instance, if a computable function used in hiring processes is biased against certain demographics, it can perpetuate inequality and discrimination. Therefore, understanding what is computable goes beyond mere technicality; it encompasses a responsibility to ensure fairness and transparency in how we utilize technology.Additionally, the advancements in quantum computing introduce a new dimension to the concept of computable. Quantum computers have the potential to solve certain problems much faster than classical computers, challenging our traditional understanding of computation. This raises fascinating questions about the future of computable functions and the limits of what we can achieve through computation.In conclusion, the term computable encapsulates a crucial aspect of modern technology and mathematics. It defines the scope of what problems can be solved using computational methods, influencing everything from everyday applications to groundbreaking innovations in AI. As we continue to push the boundaries of computation, it is imperative to remain aware of the ethical considerations and limitations inherent in computable functions. Embracing this knowledge will empower us to harness technology for the greater good, ensuring that the future of computation benefits all of humanity.

在数字技术时代，什么是可计算的概念变得越来越重要。要理解这个术语，我们首先必须深入其定义。可计算的东西是指可以通过计算机使用有限指令集解决或执行的问题或函数。这个理念在计算机科学和数学中是基础性的，因为它划定了机器能够完成的边界。可计算的函数的重要性不容低估。在实际应用中，它们使我们能够自动化复杂任务，以惊人的速度进行计算，并轻松分析大量数据。例如，考虑搜索引擎中使用的算法。它们旨在处理用户查询并高效检索网络上的相关信息。这些算法基于可计算的函数，可以处理各种输入并在几分之一秒内产生输出。此外，人工智能（AI）领域在很大程度上依赖于可计算的问题。机器学习算法使计算机能够从数据中学习并随着时间的推移提高性能，这些算法在根本上是可计算的。通过对可计算的数据集进行训练，这些系统可以识别模式并做出预测，彻底改变医疗、金融和交通等行业。然而，并非所有问题都是可计算的。存在某些数学问题被证明是不可判定的，意味着没有算法可以在有限的时间内确定其解决方案。一个经典的例子是停机问题，它询问给定程序是否会完成运行或无限期继续。这一限制引发了关于计算能力和智能本质的有趣问题。对可计算的函数的探索使我们考虑技术的伦理影响。随着我们开发更高级的算法，我们还必须面对隐私、安全和偏见等问题。例如，如果用于招聘过程的可计算的函数对某些人群存在偏见，它可能会加剧不平等和歧视。因此，理解什么是可计算的超越了单纯的技术性；它涵盖了确保我们利用技术的公平性和透明度的责任。此外，量子计算的进步为可计算的概念引入了一个新维度。量子计算机有潜力比经典计算机更快地解决某些问题，挑战我们对计算的传统理解。这引发了关于未来可计算的函数和我们通过计算可以实现的极限的迷人问题。总之，可计算的这个术语概括了现代技术和数学的一个关键方面。它定义了可以使用计算方法解决的问题的范围，影响着从日常应用到人工智能的突破性创新。随着我们不断推动计算的边界，保持对可计算的函数固有的伦理考量和局限性的意识至关重要。拥抱这一知识将使我们能够利用技术造福更大的社会，确保计算的未来惠及全人类。