non linear

简明释义

非直线性的

英英释义

例句

1.The relationship between the variables in this experiment is non linear.

这个实验中变量之间的关系是非线性的。

2.The dynamics of the system are non linear, making predictions difficult.

该系统的动态是非线性的，这使得预测变得困难。

3.We need to use non linear optimization techniques for this problem.

我们需要使用非线性优化技术来解决这个问题。

4.The non linear behavior of the material can be observed under high stress.

在高应力下，可以观察到材料的非线性行为。

5.In a non linear regression model, the data does not fit a straight line.

在一个非线性回归模型中，数据不符合一条直线。

作文

In the realm of mathematics and science, the term non linear (非线性) plays a crucial role in understanding complex systems. Unlike linear equations, which can be easily graphed as straight lines, non linear (非线性) equations can produce curves, loops, and more intricate shapes. This complexity reflects the real-world scenarios where relationships between variables are not straightforward. For instance, consider the relationship between supply and demand in economics. While a simple linear model might suggest that an increase in price will always lead to a decrease in quantity demanded, the reality is often much more non linear (非线性). Factors such as consumer preferences, market trends, and external influences create a web of interactions that cannot be captured by a straight line.Similarly, in physics, many phenomena exhibit non linear (非线性) behavior. Take, for example, the motion of a pendulum. Under small angles, its motion can be approximated linearly, but as the angle increases, the motion becomes non linear (非线性), leading to more complex dynamics. This understanding is vital for engineers and scientists who must account for these complexities when designing systems or predicting behaviors.In the field of computer science, non linear (非线性) data structures, such as trees and graphs, are essential for organizing and managing information. Unlike arrays or linked lists that follow a linear structure, these non linear (非线性) structures allow for more efficient searching, sorting, and data retrieval. For example, a binary search tree organizes data in a way that enables quick access and modification, demonstrating how non linear (非线性) approaches can enhance performance.Moreover, in the realm of art and literature, the concept of non linear (非线性) storytelling has gained popularity. Traditional narratives often follow a linear progression from beginning to end. In contrast, non linear (非线性) narratives allow for multiple perspectives, flashbacks, and intertwining plot lines, creating a richer and more engaging experience for the audience. This technique challenges the conventional way of storytelling, inviting readers or viewers to piece together the narrative in a more interactive manner.In conclusion, the concept of non linear (非线性) is pervasive across various disciplines, highlighting the complexity and richness of the world around us. Whether in mathematics, science, computer science, or the arts, embracing non linear (非线性) models and narratives allows for a deeper understanding of intricate systems and relationships. As we continue to explore and innovate, recognizing the significance of non linear (非线性) frameworks will undoubtedly lead to new insights and advancements in our understanding of both theoretical and practical applications.

在数学和科学领域，术语non linear（非线性）在理解复杂系统中起着至关重要的作用。与可以简单地绘制为直线的线性方程不同，non linear（非线性）方程可以产生曲线、循环和更复杂的形状。这种复杂性反映了现实世界中变量之间的关系并不是简单明了的场景。例如，考虑经济学中供求关系的例子。虽然一个简单的线性模型可能表明价格的上涨总会导致需求量的减少，但现实往往更加non linear（非线性）。消费者偏好、市场趋势和外部影响等因素创造了一张互动的网络，这些都不能用一条直线来捕捉。同样，在物理学中，许多现象表现出non linear（非线性）的行为。以摆的运动为例。在小角度下，它的运动可以近似为线性，但随着角度的增加，运动变得non linear（非线性），导致更复杂的动力学。这种理解对工程师和科学家来说至关重要，他们必须在设计系统或预测行为时考虑这些复杂性。在计算机科学领域，non linear（非线性）数据结构，如树和图，对于组织和管理信息至关重要。与遵循线性结构的数组或链表不同，这些non linear（非线性）结构允许更高效的搜索、排序和数据检索。例如，二叉搜索树以一种能够快速访问和修改数据的方式组织数据，展示了non linear（非线性）方法如何提高性能。此外，在艺术和文学领域，non linear（非线性）叙事的概念越来越受欢迎。传统叙事通常遵循从头到尾的线性进程。相比之下，non linear（非线性）叙事允许多重视角、闪回和交织的情节线，为观众创造了更丰富、更引人入胜的体验。这种技巧挑战了传统的叙事方式，邀请读者或观众以更具互动性的方式拼凑叙事。总之，non linear（非线性）的概念在各个学科中无处不在，突显了我们周围世界的复杂性和丰富性。无论是在数学、科学、计算机科学还是艺术中，接受non linear（非线性）模型和叙事都有助于更深入地理解复杂的系统和关系。随着我们不断探索和创新，认识到non linear（非线性）框架的重要性无疑将为我们在理论和实践应用中的理解带来新的见解和进步。