proximate calculation

简明释义

近似计算

英英释义

例句

1.The scientist used a proximate calculation to determine the expected reaction rates.

科学家使用近似计算来确定预期的反应速率。

2.For quick assessments, a proximate calculation is often sufficient.

对于快速评估，近似计算通常是足够的。

3.Before the final design, we need a proximate calculation of the material costs.

在最终设计之前，我们需要对材料成本进行近似计算。

4.In financial modeling, a proximate calculation can help predict future cash flows.

在财务建模中，近似计算可以帮助预测未来的现金流。

5.The engineer performed a proximate calculation to estimate the load capacity of the bridge.

工程师进行了一个近似计算来估算桥梁的承载能力。

作文

In the realm of mathematics and science, accuracy is paramount. However, there are instances where exact calculations are impractical or unnecessary. In such cases, we often resort to methods that provide sufficiently accurate results without delving into complex computations. One such method is known as proximate calculation, which refers to a technique used to obtain an approximate result that is close enough to the true value for practical purposes. This approach is particularly useful in fields like engineering, economics, and physics, where quick estimations can lead to timely decisions and actions.The concept of proximate calculation is rooted in the idea that not all problems require precise answers; sometimes, an estimate will suffice. For example, when engineers design structures, they often use proximate calculation to gauge the load-bearing capacity of materials. By using simplified formulas and assumptions based on empirical data, they can quickly determine whether a particular design will hold up under expected conditions. This allows them to move forward with the project without getting bogged down in intricate details that may not significantly impact the overall outcome.In economics, proximate calculation plays a crucial role in market analysis. Economists frequently rely on estimates to assess trends and make predictions about future behaviors. For instance, when analyzing consumer spending, they may use proximate calculation to derive average expenditures based on sample data. This enables them to understand broader economic patterns without needing to survey every individual.Moreover, proximate calculation is essential in scientific research, particularly in experimental settings. Researchers often conduct preliminary tests to gather data before committing to more extensive studies. During these initial phases, they may employ proximate calculation to estimate the potential outcomes of their experiments. This helps them refine their hypotheses and design more focused research methodologies.Despite its advantages, it is important to recognize the limitations of proximate calculation. While it can provide useful insights, reliance on approximations can sometimes lead to significant errors, especially if the underlying assumptions are flawed. Therefore, it is crucial for practitioners in any field to understand when it is appropriate to use proximate calculation and when a more precise approach is warranted.In conclusion, proximate calculation serves as a valuable tool in various disciplines, enabling professionals to make informed decisions based on reasonable estimates. By embracing this method, we can navigate complex problems more efficiently and effectively. However, we must remain vigilant about its limitations and ensure that our approximations do not compromise the integrity of our work. Ultimately, the key lies in striking a balance between precision and practicality, allowing us to harness the power of proximate calculation while minimizing the risks associated with estimation.

在数学和科学的领域中，准确性至关重要。然而，有些情况下，精确计算是不切实际或不必要的。在这种情况下，我们通常会采用提供足够准确结果的方法，而无需深入复杂的计算。一个这样的办法被称为近似计算，它指的是一种用于获得足够接近真实值的近似结果的技术，这种结果在实际应用中是可以接受的。这种方法在工程学、经济学和物理学等领域尤其有用，因为快速的估算可以导致及时的决策和行动。近似计算的概念源于这样一个思想：并非所有问题都需要精确的答案；有时，估计就足够了。例如，在工程师设计结构时，他们常常使用近似计算来估计材料的承载能力。通过使用基于经验数据的简化公式和假设，他们可以快速确定特定设计在预期条件下是否能承受。这使他们能够在不陷入可能对整体结果影响不大的复杂细节中的情况下，继续推进项目。在经济学中，近似计算在市场分析中发挥着至关重要的作用。经济学家经常依赖估算来评估趋势并预测未来行为。例如，在分析消费者支出时，他们可能使用近似计算根据样本数据推导出平均支出。这使他们能够理解更广泛的经济模式，而无需调查每一个个体。此外，近似计算在科学研究中也是必不可少的，特别是在实验环境中。研究人员通常会进行初步测试以收集数据，然后再承诺进行更广泛的研究。在这些初始阶段，他们可能会采用近似计算来估计实验的潜在结果。这帮助他们完善假设，并设计更有针对性的研究方法。尽管有其优点，但重要的是要认识到近似计算的局限性。虽然它可以提供有用的见解，但过度依赖近似有时可能导致重大错误，尤其是当基础假设存在缺陷时。因此，各领域的从业者必须理解何时适合使用近似计算，以及何时需要更精确的方法。总之，近似计算作为一种有价值的工具，在各个学科中发挥着作用，使专业人士能够根据合理的估算做出明智的决策。通过接受这种方法，我们可以更高效、更有效地应对复杂问题。然而，我们必须保持警惕，关注其局限性，确保我们的近似不会损害工作的完整性。最终，关键在于在精确性和实用性之间找到平衡，使我们能够利用近似计算的力量，同时最小化与估算相关的风险。