extrapolation

简明释义

英[ɪkˌstræpəˈleɪʃn]美[ɪkˌstræpəˈleɪʃn]

n. [数] 外推法；推断

复 数 e x t r a p o l a t i o n s

英英释义

单词用法

同义词

反义词

例句

1.As it is, he has had to rely on gossip, anecdote, dubious official reports, speculation and extrapolation.

事实上，他不得不依靠传言、轶闻、靠不住的官方报道、猜测和推断等。

2.He estimated his income tax bill by extrapolation from figures submit ted in previous years.

他从前几年的报税数字推算出自己应缴的所得税数额。

3.Computer simulation results of trajectory extrapolation and error estimation are also given in this paper.

本文还给出了弹道外推及误差估计的计算机模拟结果。

4.The referenced curing processing temperature were calculated by Extrapolation.

利用外推法，确定了参考固化工艺温度。

5.At the macroscopic level, an ideal gas is defined by a process of extrapolation.

从宏观角度看，理想气体的定义是由推论而得来的。

6.All extrapolation operators face the problem of choosing the reference velocity due to continuation in depth.

此类波场外推算子沿深度层进行波场外推，都存在参考速度选择问题。

7.But this special report will caution against relying on linear extrapolation from recent growth rates.

但是这份特别报告对那些基于最近的增长率做出线性增长的预测给出警告。

8.A conservative extrapolation from Nevada to the rest of the country would easily mean billions of dollars annually in new tax revenues.

从内华达州到其他地区，即使是很保守的推断也可得知每年会增加数十亿美元的税收。

9.The study itself neither posed nor answered those questions, but the extrapolation was widely repeated.

研究本身既未提出主张亦未解答此问题，但是，其外推却被广泛地复述。

10.The scientist made an extrapolation based on the initial data to predict future climate changes.

科学家根据初始数据进行了外推，以预测未来的气候变化。

11.Using extrapolation, the researchers estimated the population growth for the next decade.

研究人员使用外推估算了未来十年的人口增长。

12.The financial analyst's extrapolation of market trends helped investors make informed decisions.

金融分析师对市场趋势的外推帮助投资者做出明智的决策。

13.In medicine, extrapolation from clinical trials can lead to new treatment guidelines.

在医学领域，临床试验的外推可以导致新的治疗指南。

14.The teacher explained that extrapolation is often used in statistics to predict outcomes.

老师解释说，外推通常用于统计学中以预测结果。

作文

In the field of science and mathematics, the concept of extrapolation plays a crucial role in predicting future outcomes based on current data. Essentially, extrapolation refers to the process of estimating unknown values by extending or projecting from known values. This technique is widely used across various disciplines, including economics, environmental science, and even everyday decision-making. To illustrate the importance of extrapolation, consider the example of climate change research. Scientists collect vast amounts of data regarding temperature changes, carbon dioxide levels, and ice cap melting rates. By applying extrapolation, they can predict future climate scenarios based on historical trends. For instance, if the average global temperature has increased by 1 degree Celsius over the past century, scientists might use this data to estimate that it could rise by another 2 degrees in the next fifty years if current trends continue. This kind of predictive analysis is essential for policymakers to make informed decisions about environmental regulations and sustainability efforts. Moreover, extrapolation is not limited to scientific fields; it is also prevalent in business. Companies often rely on sales data from previous years to forecast future revenues. For example, if a company sold 10,000 units of a product last year and expects a growth rate of 20%, they may use extrapolation to predict that they will sell 12,000 units this year. However, it is important to note that while extrapolation can provide valuable insights, it is not without its risks. If the assumptions underlying the extrapolated data are flawed, the predictions can lead to significant miscalculations. In addition to its applications in science and business, extrapolation is also relevant in everyday life. People often make decisions based on past experiences. For instance, if someone notices that it usually rains in their city during the month of April, they might extrapolate that it will rain again this coming April. While this method of reasoning can be useful, it can also lead to errors if unexpected changes occur, such as a shift in weather patterns. In conclusion, extrapolation is a powerful tool that enables individuals and organizations to make predictions based on existing data. Whether in scientific research, business forecasting, or daily decision-making, understanding how to effectively utilize extrapolation can significantly enhance our ability to anticipate future events. However, it is essential to approach extrapolation with caution, as relying solely on past data without considering potential changes can lead to inaccurate conclusions. Therefore, while extrapolation can guide us, it should always be complemented with critical thinking and an awareness of the broader context.

在科学和数学领域，外推的概念在基于当前数据预测未来结果方面发挥着至关重要的作用。基本上，外推是指通过从已知值扩展或投影来估计未知值的过程。这种技术广泛应用于各个学科，包括经济学、环境科学，甚至日常决策。 为了说明外推的重要性，可以考虑气候变化研究的例子。科学家收集大量关于温度变化、二氧化碳水平和冰盖融化率的数据。通过应用外推，他们可以根据历史趋势预测未来的气候情景。例如，如果全球平均温度在过去一个世纪内上升了1摄氏度，科学家可能会利用这些数据来估计，如果当前趋势继续，未来五十年内可能再上升2摄氏度。这种预测分析对于政策制定者做出有关环境法规和可持续发展努力的明智决策至关重要。 此外，外推不仅限于科学领域；它在商业中也很普遍。公司通常依赖于前几年的销售数据来预测未来的收入。例如，如果一家公司去年售出了10,000个产品，并预计增长率为20%，他们可能使用外推来预测今年将售出12,000个单位。然而，需要注意的是，虽然外推可以提供有价值的见解，但它并非没有风险。如果推断数据背后的假设存在缺陷，预测可能导致重大误算。 除了在科学和商业中的应用，外推在日常生活中也相关。人们经常根据过去的经验做出决策。例如，如果某人注意到他们所在城市通常在四月下雨，他们可能会外推认为今年四月也会下雨。虽然这种推理方法可能有用，但如果发生意外变化，比如天气模式的变化，也可能导致错误。 总之，外推是一个强大的工具，使个人和组织能够基于现有数据进行预测。无论是在科学研究、商业预测还是日常决策中，理解如何有效利用外推可以显著增强我们预测未来事件的能力。然而，必须谨慎对待外推，因为仅仅依赖过去的数据而不考虑潜在的变化可能会导致不准确的结论。因此，尽管外推可以指导我们，但它应始终与批判性思维和对更广泛背景的意识相结合。