rough approximation

简明释义

粗略近似

英英释义

例句

1.For a rough approximation, you can assume that each person will eat about 1.5 servings.

作为一个粗略估计，你可以假设每个人会吃大约1.5份。

2.When calculating travel time, I usually rely on a rough approximation based on distance.

在计算旅行时间时，我通常依赖于基于距离的粗略估计。

3.The budget we have is a rough approximation of what we need for the project.

我们目前的预算是这个项目所需费用的粗略估计。

4.The scientist provided a rough approximation of the number of cells in the sample.

科学家给出了样本中细胞数量的粗略估计。

5.This formula gives a rough approximation of the area under the curve.

这个公式提供了曲线下方面积的粗略估计。

作文

In our daily lives, we often encounter situations where precise calculations are not feasible or necessary. In such cases, we rely on what can be termed as a rough approximation. A rough approximation is an estimate that is close enough to the actual value for practical purposes but lacks exactness. This concept can be applied in various fields, including mathematics, science, economics, and even everyday decision-making.For instance, when planning a road trip, one might use a rough approximation of the distance to be traveled based on the map. Instead of calculating the exact mileage, which may involve complex measurements and considerations of route changes, one could simply estimate the distance to the nearest hundred miles. This rough approximation allows travelers to gauge how much time they might need without getting bogged down in unnecessary details.In the realm of science, researchers often use rough approximations when dealing with large datasets or complex phenomena. For example, physicists may calculate the gravitational force between two objects using a rough approximation of their masses and distances. While the exact calculations may yield more precise results, the rough approximation provides a sufficient understanding of the forces at play and allows scientists to make predictions and decisions based on their findings.Economists also frequently utilize rough approximations in their analyses. When assessing the economic impact of a new policy, they may not have access to all the data needed for a comprehensive evaluation. Instead, they might use a rough approximation of key variables, such as employment rates or consumer spending, to project potential outcomes. This approach enables policymakers to make informed decisions even in the absence of complete information.Moreover, rough approximations are common in everyday life, from budgeting to cooking. When preparing a meal, a cook might estimate the amount of ingredients needed rather than measuring each component precisely. This rough approximation can lead to delicious results without the hassle of exact measurements. Similarly, when creating a budget, individuals often round their expenses to the nearest dollar to simplify their financial planning. These rough approximations help streamline decision-making processes and reduce the cognitive load associated with precision.However, it is important to recognize the limitations of rough approximations. While they serve as useful tools for estimation, relying too heavily on them can lead to significant errors, particularly in situations where precision is crucial. For example, in engineering projects, a rough approximation of material requirements could result in structural failures if the estimates are not adequately validated.In conclusion, rough approximations play a vital role in various aspects of life, allowing us to make quick and practical decisions without being overwhelmed by the need for exactness. They enable us to navigate uncertainties and complexities with greater ease. By understanding when and how to use rough approximations, we can enhance our problem-solving skills and improve our ability to function effectively in a world that often demands quick thinking and adaptability.

在我们的日常生活中，我们经常会遇到一些精确计算不可行或不必要的情况。在这种情况下，我们依赖于可以称之为粗略估计的东西。粗略估计是一个接近实际值的估算，适用于实际目的，但缺乏准确性。这个概念可以应用于多个领域，包括数学、科学、经济学，甚至日常决策。例如，当计划一次公路旅行时，人们可能会基于地图使用距离的粗略估计。与其计算确切的里程，这可能涉及复杂的测量和路线变化的考虑，不如简单地估算到最近的几百英里。这种粗略估计使旅行者能够评估他们可能需要的时间，而不会陷入不必要的细节中。在科学领域，研究人员在处理大型数据集或复杂现象时也经常使用粗略估计。例如，物理学家可能会根据两个物体的质量和距离使用粗略估计来计算它们之间的引力。虽然精确计算可能会产生更精确的结果，但粗略估计提供了对所涉及力量的充分理解，并允许科学家根据他们的发现做出预测和决策。经济学家在分析中也经常利用粗略估计。当评估新政策的经济影响时，他们可能无法获得全面评估所需的所有数据。相反，他们可能会使用关键变量（如就业率或消费者支出）的粗略估计来预测潜在结果。这种方法使政策制定者即使在缺乏完整信息的情况下也能做出明智的决策。此外，粗略估计在日常生活中也很常见，从预算到烹饪。当准备一顿饭时，厨师可能会估算所需食材的数量，而不是精确测量每个成分。这种粗略估计可以导致美味的结果，而不必担心精确的测量。同样，在制定预算时，个人通常会将支出四舍五入到最接近的美元，以简化财务规划。这些粗略估计有助于简化决策过程，并减少与精确性相关的认知负担。然而，重要的是要认识到粗略估计的局限性。尽管它们作为估算工具非常有用，但过度依赖它们可能导致重大错误，特别是在需要精确性的情况下。例如，在工程项目中，材料需求的粗略估计如果没有得到充分验证，可能会导致结构失败。总之，粗略估计在生活的各个方面都发挥着重要作用，使我们能够快速且实际地做出决策，而不被对精确性的需求所压倒。它们使我们能够更轻松地应对不确定性和复杂性。通过理解何时以及如何使用粗略估计，我们可以增强解决问题的能力，提高在一个常常要求快速思考和适应的世界中有效运作的能力。