distance by log

简明释义

计程仪航程

英英释义

Distance by log refers to the measurement of distance using logarithmic scales or calculations, often applied in fields such as mathematics, physics, or engineering to simplify complex relationships.

按对数计算的距离是指使用对数尺度或计算来测量距离,这种方法通常应用于数学、物理或工程等领域,以简化复杂关系。

例句

1.To improve accuracy, the team decided to use distance by log instead of manual measurements.

为了提高准确性,团队决定使用通过日志的距离而不是手动测量。

2.The pilot reviewed the flight log to find the distance by log covered in the last hour.

飞行员查看飞行日志,以查找过去一小时内的通过日志的距离

3.The engineer calculated the distance by log to determine the best route for the pipeline installation.

工程师计算了通过日志的距离以确定管道安装的最佳路线。

4.By measuring the distance by log, we can assess how far the vehicle traveled during the test.

通过测量通过日志的距离,我们可以评估车辆在测试期间行驶的距离。

5.The research focused on how to calculate distance by log for various types of terrain.

研究集中在如何计算各种地形的通过日志的距离

作文

The concept of measuring the distance by log is an intriguing one, often used in various fields such as mathematics, physics, and even in everyday life. In essence, distance by log refers to the method of quantifying the distance between two points using logarithmic scales. This can be particularly useful when dealing with large ranges of data or when the relationship between variables is exponential rather than linear.To understand this concept better, let’s take a practical example. Imagine you are analyzing the growth of a population over several years. The population might grow exponentially, meaning that each year, the population increases by a certain percentage rather than a fixed number. If you were to plot this growth on a standard linear graph, it would quickly become unwieldy, making it difficult to interpret the data accurately. However, if you were to use a logarithmic scale, you could effectively visualize the growth pattern, allowing for easier comparisons and analyses.In mathematical terms, the distance by log can be calculated using the formula: Distance = log10(P2/P1)Here, P1 and P2 represent two different population values at two different times. By taking the logarithm of the ratio of these two populations, you are able to express the growth in a more manageable form. This technique is not limited to population studies; it can also be applied in fields like finance, where investments may grow at exponential rates, or in environmental science, where species populations can fluctuate dramatically.Moreover, the application of distance by log extends beyond theoretical concepts. In real-world scenarios, scientists and researchers often rely on logarithmic scales to present their findings. For instance, the Richter scale, which measures the intensity of earthquakes, is logarithmic. Each whole number increase on this scale represents a tenfold increase in measured amplitude and roughly 31.6 times more energy release. Thus, understanding distance by log becomes crucial for interpreting the severity and impact of natural disasters.In addition to scientific applications, the concept of distance by log can also be relevant in technology and data analysis. With the rise of big data, analysts often encounter datasets that span several orders of magnitude. Using logarithmic transformations can help normalize these datasets, making it easier to apply statistical methods and draw meaningful conclusions. For example, in machine learning, applying a logarithmic scale can improve the performance of algorithms by reducing skewness in data distributions.In conclusion, the idea of distance by log serves as a powerful tool for understanding and interpreting complex relationships in various fields. Whether it’s measuring population growth, assessing the impact of natural disasters, or analyzing big data, this concept allows us to simplify and clarify information that might otherwise be overwhelming. As we continue to navigate through an increasingly data-driven world, mastering the use of logarithmic scales will undoubtedly enhance our analytical capabilities and deepen our understanding of the phenomena around us.

“通过对数测量距离”的概念是一个引人入胜的主题,常用于数学、物理学甚至日常生活中的各个领域。从本质上讲,“通过对数测量距离”指的是使用对数尺度来量化两个点之间的距离的方法。当处理大范围的数据或变量之间的关系是指数而非线性时,这尤其有用。为了更好地理解这个概念,让我们举一个实际的例子。假设你在分析某个种群在若干年中的增长。种群可能以指数方式增长,这意味着每年种群增加一定的百分比,而不是固定的数字。如果你在标准线性图上绘制这种增长,它会迅速变得难以处理,从而使得准确解释数据变得困难。然而,如果你使用对数尺度,你就可以有效地可视化增长模式,使比较和分析变得更加容易。在数学上,“通过对数测量距离”可以使用以下公式计算:距离 = log10(P2/P1)这里,P1和P2表示两个不同时间的两个不同种群值。通过取这两个种群比率的对数,你能够以更易于管理的形式表达增长。这种技术不仅限于种群研究;它也可以应用于金融等领域,在这些领域中,投资可能以指数速度增长,或者在环境科学中,物种种群可能剧烈波动。此外,“通过对数测量距离”的应用超越了理论概念。在现实世界场景中,科学家和研究人员经常依赖对数尺度来呈现他们的发现。例如,里氏震级表,它测量地震的强度,就是对数性质的。该尺度上的每个整数增加代表测量幅度增加十倍,并且大约释放31.6倍的能量。因此,理解“通过对数测量距离”对于解读自然灾害的严重性和影响至关重要。除了科学应用之外,“通过对数测量距离”的概念在技术和数据分析中也很相关。随着大数据的兴起,分析师经常遇到跨越多个数量级的数据集。使用对数变换可以帮助规范化这些数据集,使得应用统计方法和得出有意义的结论变得更容易。例如,在机器学习中,应用对数尺度可以通过减少数据分布的偏斜来提高算法的性能。总之,“通过对数测量距离”的概念作为理解和解释各个领域复杂关系的有力工具。无论是测量种群增长、评估自然灾害的影响,还是分析大数据,这个概念使我们能够简化和澄清那些否则可能令人不知所措的信息。随着我们继续在一个日益数据驱动的世界中航行,掌握对数尺度的使用无疑会增强我们的分析能力,并加深我们对周围现象的理解。

相关单词

distance

distance详解:怎么读、什么意思、用法

by

by详解:怎么读、什么意思、用法