approximate expression

简明释义

近似表达式

英英释义

例句

1.When estimating costs, an approximate expression can help in budgeting.

在估算成本时，近似表达式可以帮助制定预算。

2.The scientist provided an approximate expression for the reaction rate based on experimental data.

科学家根据实验数据提供了反应速率的近似表达式。

3.In physics, an approximate expression can be used to describe motion under certain conditions.

在物理学中，近似表达式可用于描述在特定条件下的运动。

4.The engineer derived an approximate expression for the load distribution in the structure.

工程师推导出结构中荷载分布的近似表达式。

5.In mathematics, we often use an approximate expression to simplify complex calculations.

在数学中，我们经常使用近似表达式来简化复杂的计算。

作文

In the realm of mathematics and science, we often encounter various methods to describe and analyze complex phenomena. One such method is the use of an approximate expression, which serves as a simplified representation of a more complicated equation or model. This approach is particularly useful when exact solutions are either impossible to derive or impractical to use in real-world applications. By employing an approximate expression, researchers and practitioners can gain valuable insights without getting bogged down by intricate calculations.For instance, consider the field of physics, where the motion of objects can be described using Newton's laws. However, when dealing with objects moving at speeds close to the speed of light, the equations become significantly more complex. In such cases, physicists often resort to approximate expressions that allow them to predict outcomes with reasonable accuracy while simplifying the underlying mathematics. This not only saves time but also makes it easier to communicate findings to a broader audience.Moreover, in engineering, approximate expressions play a crucial role in design and analysis. Engineers frequently rely on these simplified forms when conducting stress analysis on materials or when simulating fluid dynamics. The use of approximate expressions enables them to create models that can be tested and refined, ultimately leading to safer and more efficient designs. For example, when designing a bridge, engineers might use an approximate expression to estimate the load distribution across different sections, allowing them to identify potential weaknesses before construction begins.The concept of approximate expressions is not limited to the sciences; it also finds relevance in everyday life. When making decisions, people often rely on rough estimates rather than precise calculations. For instance, if someone wants to budget for a vacation, they may use an approximate expression to estimate costs based on previous trips, rather than meticulously calculating every expense. This intuitive approach allows for flexibility and adaptability, which are essential in our fast-paced world.In conclusion, the utility of an approximate expression cannot be overstated. Whether in scientific research, engineering design, or everyday decision-making, these simplified representations serve as vital tools for understanding and navigating complexity. They provide a means to approximate reality without losing sight of the bigger picture, enabling us to work efficiently and effectively in various domains. Embracing the concept of approximate expressions can lead to better problem-solving strategies and enhanced creativity, as we learn to balance precision with practicality.

在数学和科学领域，我们经常遇到各种方法来描述和分析复杂现象。其中一种方法是使用近似表达式，它作为更复杂方程或模型的简化表示。这种方法在无法推导出精确解或在实际应用中不切实际时特别有用。通过采用近似表达式，研究人员和从业者可以获得有价值的见解，而不会被复杂的计算所困扰。例如，考虑物理学领域，物体的运动可以通过牛顿定律进行描述。然而，当处理接近光速移动的物体时，方程变得复杂得多。在这种情况下，物理学家通常会诉诸于近似表达式，使他们能够以合理的准确性预测结果，同时简化基础数学。这不仅节省了时间，而且使得向更广泛的受众传达发现变得更加容易。此外，在工程学中，近似表达式在设计和分析中起着至关重要的作用。工程师在进行材料的应力分析或模拟流体动力学时，常常依赖这些简化形式。使用近似表达式使他们能够创建可以测试和完善的模型，最终导致更安全和更高效的设计。例如，在设计桥梁时，工程师可能会使用近似表达式来估算不同部分的荷载分布，从而在施工开始之前识别潜在的弱点。近似表达式的概念不仅限于科学；它在日常生活中也具有相关性。当做决定时，人们通常依赖粗略估计而不是精确计算。例如，如果有人想为假期制定预算，他们可能会使用近似表达式根据以前的旅行估算费用，而不是仔细计算每一项支出。这种直观的方法允许灵活性和适应性，这在我们快节奏的世界中至关重要。总之，近似表达式的实用性不可低估。无论是在科学研究、工程设计还是日常决策中，这些简化的表示法都是理解和应对复杂性的重要工具。它们提供了一种在不失去整体视角的情况下近似现实的方法，使我们能够在各个领域高效而有效地工作。接受近似表达式的概念可以导致更好的问题解决策略和增强的创造力，因为我们学习在精确与实用之间取得平衡。