algorithm

简明释义

英[ˈælɡərɪðəm]美[ˈælɡərɪðəm]

n. （尤指计算机）算法，运算法则

复 数 a l g o r i t h m s

英英释义

单词用法

同义词

反义词

例句

1.What is a brute-force algorithm?

什么是蛮力算法？

2.Initialize the algorithm.

初始化算法。

3.Implementing an algorithm is tricky business.

实现算法是一件巧妙的事。

4.Well, you need an algorithm for sorting.

你需要一种排序算法。

5.What's the complexity of this algorithm?

这个算法的复杂度又是多少呢？

6.It constructs a kind of pallel sorting algorithm bitonic sorting net, taking advantage of dichotomy ideas and bitonic serial.

这使用了二分法思想，利用双调序列，构造出了一种并行的排序算法：双调排序网络。

7.The search engine uses a complex algorithm to deliver the most relevant results.

搜索引擎使用复杂的算法来提供最相关的结果。

8.Cryptography relies on mathematical algorithms to secure communications.

密码学依赖于数学算法来保护通信安全。

9.The algorithm for sorting data can significantly improve the efficiency of a program.

用于排序数据的算法可以显著提高程序的效率。

10.Social media platforms rely on an algorithm to determine which posts appear in your feed.

社交媒体平台依赖于一个算法来决定哪些帖子出现在你的动态中。

11.Machine learning models are trained using large datasets and sophisticated algorithms.

机器学习模型使用大型数据集和复杂的算法进行训练。

作文

In today's digital age, the term algorithm (算法) has become ubiquitous. From social media feeds to online shopping recommendations, algorithms dictate much of our daily online experiences. But what exactly is an algorithm (算法), and why is it so important? An algorithm (算法) can be defined as a step-by-step procedure or formula for solving a problem. It is essentially a set of rules or instructions that are followed to achieve a specific outcome. In the realm of computer science, algorithms are crucial because they enable computers to process data and perform tasks efficiently.One of the most common examples of an algorithm (算法) is the search algorithm used by search engines like Google. When you type a query into the search bar, the search engine employs complex algorithms (算法) to scour the internet and return the most relevant results in a matter of seconds. These algorithms (算法) take into account various factors such as keywords, website authority, and user engagement to determine which pages to display. This is just one instance of how algorithms (算法) shape our interactions with technology.In addition to search engines, algorithms (算法) are also pivotal in social media platforms. For example, Facebook and Instagram use algorithms (算法) to curate the content that appears on users' feeds. These algorithms (算法) analyze user behavior, such as likes, shares, and comments, to personalize the experience for each individual. This means that two users may see entirely different posts based on their unique interactions with the platform. While this personalization can enhance user experience, it also raises concerns about echo chambers and the spread of misinformation.Moreover, algorithms (算法) play a significant role in industries beyond technology. For instance, in finance, algorithms (算法) are utilized for high-frequency trading, where they execute orders at lightning speed based on market conditions. In healthcare, algorithms (算法) assist in diagnosing diseases and predicting patient outcomes by analyzing vast amounts of medical data. The versatility of algorithms (算法) demonstrates their importance across various fields.However, the increasing reliance on algorithms (算法) also brings challenges. One major issue is algorithmic bias, where algorithms (算法) may inadvertently perpetuate existing prejudices present in the data they are trained on. For example, if an algorithm (算法) is trained on historical hiring data that reflects gender or racial biases, it may produce discriminatory outcomes in recruitment processes. This highlights the need for transparency and fairness in the development and implementation of algorithms (算法).In conclusion, understanding algorithms (算法) is essential in our increasingly digital world. They influence our decisions, shape our online experiences, and drive innovations across various sectors. As we continue to integrate algorithms (算法) into our lives, it is crucial to remain aware of their implications and strive for ethical practices in their deployment. By doing so, we can harness the power of algorithms (算法) to create a more efficient and equitable society.

在当今数字时代，术语算法（算法）已经变得无处不在。从社交媒体动态到在线购物推荐，算法（算法）决定了我们日常在线体验的许多方面。但究竟什么是算法（算法），它为什么如此重要？算法（算法）可以定义为解决问题的逐步程序或公式。它本质上是一组规则或指令，用于实现特定结果。在计算机科学领域，算法（算法）至关重要，因为它们使计算机能够高效处理数据和执行任务。最常见的算法（算法）示例之一是搜索引擎使用的搜索算法。当您在搜索框中输入查询时，搜索引擎利用复杂的算法（算法）来迅速扫描互联网并返回最相关的结果。这些算法（算法）考虑了关键词、网站权威性和用户参与度等各种因素，以确定显示哪些页面。这只是算法（算法）如何塑造我们与技术互动的一个实例。除了搜索引擎，社交媒体平台中的算法（算法）也至关重要。例如，Facebook和Instagram使用算法（算法）来策划出现在用户动态上的内容。这些算法（算法）分析用户行为，如点赞、分享和评论，以个性化每个用户的体验。这意味着两个用户可能会根据他们与平台的独特互动看到完全不同的帖子。虽然这种个性化可以增强用户体验，但它也引发了关于回声室和虚假信息传播的担忧。此外，算法（算法）在技术之外的行业中也发挥着重要作用。例如，在金融领域，算法（算法）用于高频交易，它们根据市场条件以闪电般的速度执行订单。在医疗保健中，算法（算法）通过分析大量医疗数据来帮助诊断疾病和预测患者结果。算法（算法）的多功能性证明了它们在各个领域的重要性。然而，对算法（算法）的日益依赖也带来了挑战。一个主要问题是算法偏见，其中算法（算法）可能无意中延续其训练数据中存在的既有偏见。例如，如果一个算法（算法）是基于反映性别或种族偏见的历史招聘数据进行训练的，它可能会在招聘过程中产生歧视性结果。这突显了在算法（算法）的开发和实施中需要透明性和公平性。总之，理解算法（算法）在我们日益数字化的世界中至关重要。它们影响我们的决策，塑造我们的在线体验，并推动各个行业的创新。随着我们继续将算法（算法）整合到生活中，保持对其影响的意识并努力在其部署中遵循伦理实践至关重要。通过这样做，我们可以利用算法（算法）的力量，创造一个更高效和公平的社会。