algous

"algous"的音标为[ˈɔːlgəs]，基本翻译为"带有刺的，有刺痛的；有毒的"。速记技巧为：利用谐音记忆，可以联想为“爱哭”，表示带有刺痛的。

Algos是一个来自拉丁语的词，意为“计算、算法”。它的变化形式包括其过去式和过去分词形式algus，现在分词alging。相关单词包括algorithm（算法）、algid（恶臭的）、algy（像algus的生物）等。这些单词都与计算和算法有关，描述了算法的特性或与算法相关的生物。算法是计算机科学的核心，它是一种描述计算机如何执行特定任务的规则或步骤，而algid则指具有某种特定性质的生物，如恶臭的生物。这些单词在科学、技术、医学等领域都有广泛的应用。

常用短语：

1. algorithm 算法

2. algorithmic 算法的

3. algorithmic language 算法语言

4. algorithmically 算法地

5. algorithmically complex 算法复杂

6. algorithmically efficient 算法高效

7. algorithmically determined 算法确定的

8. algorithmically feasible 算法可行的

例句：

1. The algorithm is designed to solve this problem efficiently.

该算法被设计用来有效地解决这个问题。

2. The algorithmic language is easy to learn and use.

这种算法语言易于学习和使用。

英文小作文：

Title: The Power of Algorithms

Algorithms have become an integral part of our daily lives, from the smartphone we use to the online shopping we do, algorithms play a crucial role in our world. They dictate how search engines rank results, determine which news stories are most popular, and even predict the weather. Algorithms are efficient, precise, and often times, they are the key to solving complex problems.

In today"s world, algorithms have become a way of life. They have revolutionized how we communicate, shop, learn, and even make decisions. From social media algorithms that determine what we see, to financial algorithms that manage our investments, algorithms have become a vital tool for decision-making. They are efficient, precise, and can even be used to automate tedious tasks that would otherwise require human intervention.

However, like anything, algorithms can be misused and abused. There is always the risk of bias or inaccuracy in algorithms, which can lead to unfair outcomes and decisions. Therefore, it is important to be aware of the power of algorithms and how they can impact our lives, while also being mindful of their limitations and potential risks.

In conclusion, algorithms have the power to transform our world for the better, but they also come with their own set of challenges and risks. Understanding algorithms and how they work is essential for navigating today"s digital landscape.