approximate model

简明释义

近似模型

英英释义

例句

1.The engineering team relied on an approximate model 近似模型 to estimate the load-bearing capacity of the bridge.

工程团队依靠一个近似模型来估算桥梁的承载能力。

2.Using an approximate model 近似模型, we can predict traffic patterns more efficiently.

通过使用一个近似模型，我们可以更有效地预测交通模式。

3.In financial forecasting, analysts often use an approximate model 近似模型 to project future revenues.

在财务预测中，分析师通常使用一个近似模型来预测未来收入。

4.The researchers developed an approximate model 近似模型 to simulate the effects of climate change on local ecosystems.

研究人员开发了一个近似模型来模拟气候变化对当地生态系统的影响。

5.An approximate model 近似模型 was created to understand the spread of infectious diseases in urban areas.

创建了一个近似模型以理解传染病在城市地区的传播。

作文

In the field of science and engineering, the concept of an approximate model plays a crucial role in understanding complex systems. An approximate model is a simplified representation of a system that captures its essential features without being overly complicated. These models are particularly useful when dealing with real-world phenomena that are too intricate to analyze directly. For instance, in meteorology, scientists use approximate models to predict weather patterns. Given the vast number of variables involved, such as temperature, humidity, wind speed, and atmospheric pressure, it is impractical to create a model that accounts for every single factor. Instead, meteorologists rely on approximate models that focus on the most significant elements affecting weather changes.The development of an approximate model often involves making assumptions and simplifications. While this can lead to a loss of precision, the trade-off is usually worth it, as these models provide valuable insights that would otherwise be unattainable. For example, in physics, the motion of planets can be described using Newton's laws, which serve as an approximate model of celestial mechanics. Although the actual motion of planets is influenced by various gravitational forces and other factors, the approximate model allows scientists to predict their paths with reasonable accuracy.Moreover, approximate models are not limited to the natural sciences; they are also widely used in social sciences and economics. Economists often use approximate models to analyze market trends and consumer behavior. By simplifying complex interactions among various economic agents, these models help economists make predictions about future market conditions. However, it is essential to recognize the limitations of approximate models. They may not always accurately reflect reality, and their predictions can sometimes be off the mark.Despite these limitations, approximate models remain indispensable tools across multiple disciplines. They facilitate a deeper understanding of systems and enable researchers to test hypotheses and explore scenarios that would be impossible to investigate through direct observation alone. The iterative process of refining approximate models based on empirical data helps improve their accuracy over time. As new data becomes available, models can be adjusted, leading to better approximations of the underlying phenomena.In conclusion, the use of approximate models is a vital aspect of scientific inquiry and problem-solving. They allow us to navigate the complexities of the world around us while providing a framework for analysis and prediction. By acknowledging the assumptions and limitations inherent in these models, researchers can utilize them effectively to gain insights into both natural and social phenomena. Ultimately, the goal of employing approximate models is to enhance our understanding and foster advancements in knowledge across various fields of study.

在科学和工程领域，近似模型的概念在理解复杂系统中发挥着至关重要的作用。近似模型是对一个系统的简化表示，捕捉其基本特征而不显得过于复杂。这些模型在处理真实世界现象时特别有用，因为这些现象过于复杂，无法直接分析。例如，在气象学中，科学家使用近似模型来预测天气模式。考虑到涉及的众多变量，如温度、湿度、风速和气压，创建一个考虑每一个因素的模型是不切实际的。因此，气象学家依赖于关注影响天气变化的最重要元素的近似模型。开发近似模型通常涉及做出假设和简化。虽然这可能导致精确度的损失，但这种权衡通常是值得的，因为这些模型提供了否则无法获得的宝贵见解。例如，在物理学中，行星的运动可以通过牛顿定律来描述，这些定律作为天体力学的近似模型。尽管行星的实际运动受到各种引力和其他因素的影响，但近似模型使科学家能够合理准确地预测它们的轨迹。此外，近似模型不仅限于自然科学；它们在社会科学和经济学中也被广泛使用。经济学家经常使用近似模型来分析市场趋势和消费者行为。通过简化各种经济主体之间的复杂互动，这些模型帮助经济学家预测未来的市场条件。然而，认识到近似模型的局限性是至关重要的。它们可能并不总是准确反映现实，其预测有时可能偏离目标。尽管存在这些局限性，近似模型仍然是多个学科中不可或缺的工具。它们促进了对系统的更深入理解，使研究人员能够测试假设和探索通过直接观察无法调查的情景。根据实证数据不断改进近似模型的迭代过程，有助于随着时间的推移提高其准确性。随着新数据的出现，模型可以进行调整，从而更好地近似基础现象。总之，使用近似模型是科学探究和解决问题的重要方面。它们使我们能够驾驭周围世界的复杂性，同时提供分析和预测的框架。通过承认这些模型固有的假设和局限性，研究人员可以有效利用它们，以获得对自然和社会现象的见解。最终，采用近似模型的目标是增强我们的理解，并促进各个研究领域知识的进步。