noninteracting

简明释义

英[ˌnɒnɪntərˈæktɪŋ]美[ˈnɑːnˈɪntəræktɪŋ]

adj. 不相互影响的；不互相作用的

英英释义

单词用法

同义词

反义词

例句

1.With a noninteracting pair, astronomers can precisely measure the change in the orbital period of the stars as they spiral toward each other.

但是对于相互间不发生交互的双星系统，当它们旋转着接近对方时，天文学家就可以精确地测量出其公转周期的改变量。

2.With a noninteracting pair, astronomers can precisely measure the change in the orbital period of the stars as they spiral toward each other.

但是对于相互间不发生交互的双星系统，当它们旋转着接近对方时，天文学家就可以精确地测量出其公转周期的改变量。

3.This paper discuss noninteracting control problems for nonlinear systems possessing symmetries.

本文讨论了具有对称性的非线性系统的无交互控制问题。

4.In physics the concept of a noninteracting particle does not exist.

在物理学的概念里，没有不发生相互作用的粒子。

5.In a physics experiment, we studied two particles that were noninteracting 不相互作用的, which simplified our calculations.

在一项物理实验中，我们研究了两个非相互作用的粒子，这简化了我们的计算。

6.The model assumes that the components of the system are noninteracting 不相互作用的, allowing for easier analysis.

该模型假设系统的组件是非相互作用的，这使得分析变得更加简单。

7.In ecology, we can consider species that are noninteracting 不相互作用的 when studying their individual population dynamics.

在生态学中，当研究物种的个体种群动态时，我们可以考虑那些非相互作用的物种。

8.The simulation was designed to show the effects of noninteracting 不相互作用的 agents in a complex system.

该模拟旨在展示复杂系统中非相互作用的代理的影响。

9.The research focused on noninteracting 不相互作用的 forces to better understand the underlying mechanics.

研究集中在非相互作用的力上，以更好地理解基础机制。

作文

In the realm of physics, particularly in quantum mechanics, the term noninteracting refers to systems or particles that do not exert forces on each other. This concept is crucial for simplifying complex equations and understanding fundamental interactions at a basic level. For example, when studying a gas composed of many particles, scientists often assume that these particles are noninteracting to make calculations more manageable. While this assumption may not hold true in reality, it provides a useful approximation that allows researchers to derive important properties of the system. The idea of noninteracting systems can also be applied in various fields beyond physics. In economics, for instance, we might consider markets where individual agents operate independently without influencing one another's decisions. This model can help economists understand market dynamics without the complications introduced by inter-agent interactions. However, just like in physics, real-world scenarios often involve complex interactions that must be accounted for to gain a complete understanding of the system. In computer science, particularly in the context of algorithms and data structures, the notion of noninteracting components can lead to significant improvements in efficiency. When designing software systems, developers may create modules that function independently without affecting each other's performance. This separation of concerns enables easier debugging, testing, and maintenance of code, as changes in one module will not impact others if they remain noninteracting. Moreover, in social sciences, the concept of noninteracting agents can help researchers analyze behaviors in groups or communities. For example, if we study a group of individuals making decisions about resource allocation, assuming that their choices are noninteracting can simplify the analysis. However, this assumption must be critically examined, as social dynamics often involve complex interactions that cannot be ignored. The implications of noninteracting systems extend into various scientific and practical applications. In thermodynamics, for example, the behavior of ideal gases is often modeled under the assumption that the gas molecules are noninteracting. This leads to the derivation of the ideal gas law, which describes the relationship between pressure, volume, and temperature. Although real gases exhibit interactions, the ideal gas law serves as a foundational principle that simplifies our understanding of gaseous behavior. In conclusion, the term noninteracting plays a vital role across multiple disciplines, serving as a foundational assumption that allows for simplification and deeper understanding of complex systems. Whether in physics, economics, computer science, or social sciences, recognizing when to apply the concept of noninteracting systems can lead to valuable insights and advancements. However, it is equally important to remain aware of the limitations of this assumption, as real-world interactions often introduce complexities that require further investigation. Ultimately, the balance between simplification and realism is key to effective analysis and understanding in any field.

在物理学领域，特别是量子力学中，术语noninteracting指的是不相互作用的系统或粒子。这一概念对于简化复杂方程和理解基本相互作用至关重要。例如，在研究由许多粒子组成的气体时，科学家们通常假设这些粒子是noninteracting的，以便使计算更易于处理。虽然这一假设在现实中可能并不成立，但它提供了一个有用的近似，使研究人员能够推导出系统的重要性质。 Noninteracting系统的概念也可以应用于物理学以外的多个领域。在经济学中，例如，我们可能会考虑个体代理独立运作而不影响彼此决策的市场。这种模型可以帮助经济学家理解市场动态，而不必考虑代理之间相互作用所引入的复杂性。然而，正如在物理学中一样，现实场景往往涉及复杂的相互作用，必须加以考虑，以便全面理解系统。 在计算机科学中，特别是在算法和数据结构的上下文中，noninteracting组件的概念可以显著提高效率。在设计软件系统时，开发人员可能会创建独立运行的模块，而不会影响彼此的性能。这种关注分离使得代码的调试、测试和维护变得更加容易，因为如果模块保持noninteracting，则对一个模块的更改不会影响其他模块。 此外，在社会科学中，noninteracting代理的概念可以帮助研究人员分析群体或社区中的行为。例如，如果我们研究一群个人在资源分配方面的决策，假设他们的选择是noninteracting的，可以简化分析。然而，这一假设必须经过严格审查，因为社会动态往往涉及复杂的相互作用，无法被忽视。 Noninteracting系统的影响延伸至多个科学和实际应用领域。例如，在热力学中，理想气体的行为通常在假设气体分子是noninteracting的情况下进行建模。这导致了理想气体法则的推导，该法则描述了压力、体积和温度之间的关系。尽管真实气体表现出相互作用，但理想气体法则作为一种基础原则，有助于简化我们对气体行为的理解。 总之，术语noninteracting在多个学科中发挥着重要作用，作为一种基础假设，允许我们简化和深入理解复杂系统。无论是在物理学、经济学、计算机科学还是社会科学中，认识到何时应用noninteracting系统的概念可以带来宝贵的见解和进展。然而，同样重要的是要意识到这一假设的局限性，因为现实世界中的相互作用往往引入了需要进一步研究的复杂性。最终，在任何领域，有效分析和理解的关键在于简化与现实之间的平衡。