nonvariant system

简明释义

不变系统

英英释义

例句

1.In engineering, a nonvariant system 非变系统 is essential for developing robust designs that can withstand various conditions.

在工程学中，非变系统 nonvariant system对于开发能够承受各种条件的稳健设计至关重要。

2.For the simulation, we need to create a nonvariant system 非变系统 to accurately model the physical phenomena without external interference.

为了进行模拟，我们需要创建一个非变系统 nonvariant system以准确建模物理现象，而不受外部干扰。

3.In a laboratory setting, researchers often prefer to work with a nonvariant system 非变系统 to ensure consistent results across experiments.

在实验室环境中，研究人员通常更喜欢使用非变系统 nonvariant system以确保实验结果的一致性。

4.The team analyzed the data from a nonvariant system 非变系统 to ensure that their findings were reliable and reproducible.

团队分析了来自非变系统 nonvariant system的数据，以确保他们的发现是可靠和可重复的。

5.The software was designed to operate in a nonvariant system 非变系统 where user inputs do not affect the output unpredictably.

该软件被设计为在一个非变系统 nonvariant system中运行，其中用户输入不会影响输出的不可预测性。

作文

In the realm of scientific study, systems can often be classified into various categories based on their characteristics and behaviors. One such classification is the distinction between variant and nonvariant systems. A nonvariant system refers to a system that remains consistent over time, exhibiting stable properties and behaviors regardless of external influences or changes in conditions. This concept is crucial in fields such as physics, biology, and engineering, where understanding the stability of a system can lead to significant advancements in technology and scientific knowledge.To illustrate the importance of a nonvariant system, let us consider the example of a pendulum. A simple pendulum, under ideal conditions, behaves in a predictable manner; its period of oscillation remains constant irrespective of the amplitude of the swing, assuming no external forces such as air resistance or friction act upon it. This consistent behavior exemplifies a nonvariant system, as the fundamental properties of the pendulum do not change over time. Such predictability allows scientists and engineers to make reliable calculations and predictions based on the system’s behavior.In contrast, many systems in nature are variant, meaning they exhibit changes in response to different conditions or inputs. For instance, weather systems are highly variable, influenced by numerous factors such as temperature, humidity, and atmospheric pressure. The unpredictability of these systems poses challenges for meteorologists who strive to create accurate forecasts. Understanding the characteristics of a nonvariant system can help researchers identify the boundaries within which certain phenomena can be reliably predicted, thereby enhancing the accuracy of models for more complex, variant systems.Moreover, the concept of a nonvariant system extends beyond physical sciences into social sciences and economics. For example, in economic models, certain assumptions may lead to the identification of a nonvariant system where specific variables remain constant while others fluctuate. These simplified models can provide insights into market behaviors and consumer choices, allowing economists to develop strategies that can stabilize markets during periods of volatility.Understanding nonvariant systems also plays a vital role in technology and engineering. Engineers often design systems that need to maintain certain parameters to ensure safety and functionality. For instance, in aerospace engineering, the structural integrity of an aircraft must remain constant despite varying loads and environmental conditions. By studying nonvariant systems, engineers can create designs that withstand external pressures while maintaining their essential functions.In conclusion, the concept of a nonvariant system serves as a foundational element in both natural and social sciences. Its significance lies in the ability to identify and analyze systems that exhibit consistent behaviors over time, allowing for reliable predictions and applications in various fields. By distinguishing between variant and nonvariant systems, researchers and practitioners can better navigate the complexities of the world around them, leading to advancements in knowledge, technology, and societal development. As we continue to explore the intricacies of different systems, the understanding of nonvariant systems will undoubtedly remain a key focus in scientific inquiry and innovation.

在科学研究的领域中，系统通常可以根据其特征和行为进行分类。其中一种分类是变异系统和非变异系统之间的区别。非变异系统指的是一个随时间保持一致的系统，其特性和行为在外部影响或条件变化的情况下仍然稳定。这一概念在物理学、生物学和工程学等领域至关重要，因为理解一个系统的稳定性可以带来技术和科学知识的重大进步。为了说明非变异系统的重要性，让我们考虑一个摆的例子。在理想条件下，一个简单的摆以可预测的方式运动；其摆动周期保持不变，不论摆动的幅度如何，只要没有空气阻力或摩擦等外部力量作用于它。这种一致的行为体现了非变异系统的特点，因为摆的基本属性不会随时间而改变。这种可预测性使科学家和工程师能够基于系统的行为进行可靠的计算和预测。相比之下，自然界中的许多系统是变异的，这意味着它们会根据不同的条件或输入表现出变化。例如，天气系统是高度可变的，受温度、湿度和气压等多个因素的影响。这些系统的不确定性给气象学家带来了挑战，他们努力创造准确的天气预报。理解非变异系统的特征可以帮助研究人员识别出某些现象可以可靠预测的边界，从而提高对更复杂的变异系统模型的准确性。此外，非变异系统的概念不仅扩展到自然科学，还涉及社会科学和经济学。例如，在经济模型中，某些假设可能导致识别出一个非变异系统，在该系统中，特定变量保持不变，而其他变量则波动。这些简化模型可以提供对市场行为和消费者选择的深入洞察，使经济学家能够制定在波动期间稳定市场的策略。理解非变异系统在技术和工程中也发挥着至关重要的作用。工程师通常设计需要保持某些参数的系统，以确保安全性和功能性。例如，在航空航天工程中，飞机的结构完整性必须在不同负荷和环境条件下保持不变。通过研究非变异系统，工程师可以创建能够承受外部压力的设计，同时保持其基本功能。总之，非变异系统的概念是自然科学和社会科学的基础元素。其重要性在于能够识别和分析随时间表现出一致行为的系统，从而允许在各个领域进行可靠的预测和应用。通过区分变异系统和非变异系统，研究人员和从业者可以更好地应对周围世界的复杂性，从而推动知识、技术和社会发展的进步。随着我们继续探索不同系统的复杂性，对非变异系统的理解无疑将继续成为科学探究和创新的关键焦点。