deterministic process

简明释义

确定过程

英英释义

例句

1.Weather forecasting models often rely on deterministic processes (确定性过程) to predict future conditions based on current data.

天气预报模型通常依赖于deterministic processes（确定性过程）根据当前数据预测未来条件。

2.In a computer simulation, a deterministic process (确定性过程) ensures that the same initial conditions will always produce the same results.

在计算机模拟中，deterministic process（确定性过程）确保相同的初始条件总是会产生相同的结果。

3.In manufacturing, a deterministic process (确定性过程) can help ensure quality control by producing the same product under the same conditions every time.

在制造业中，deterministic process（确定性过程）可以通过每次在相同条件下生产相同产品来帮助确保质量控制。

4.In physics, many laws describe deterministic processes (确定性过程) where the outcome can be precisely predicted if the initial state is known.

在物理学中，许多定律描述了deterministic processes（确定性过程），如果已知初始状态，则可以精确预测结果。

5.The algorithm used in this software is a deterministic process (确定性过程), meaning it will always yield the same output for a given input.

该软件中使用的算法是一个deterministic process（确定性过程），这意味着它对给定输入将始终产生相同的输出。

作文

In the realm of science and mathematics, the concept of a deterministic process is fundamental to understanding how systems behave over time. A deterministic process refers to a sequence of events in which the outcome is precisely determined by its initial conditions, without any randomness involved. This means that if one knows the initial state of the system and the rules governing it, one can predict future states with complete accuracy. For instance, consider the motion of a pendulum. If we know its length, the gravitational acceleration, and the initial angle from which it is released, we can accurately calculate its position at any given time. This predictability is a hallmark of deterministic processes.The significance of deterministic processes extends beyond physics into various fields such as economics, engineering, and computer science. In economics, models that assume rational behavior often rely on deterministic processes to predict market trends. Engineers use deterministic processes to design systems that function reliably under known conditions. For example, when designing a bridge, engineers apply laws of physics to ensure that the structure can withstand specific loads without failure. The calculations involved are based on deterministic processes, where every variable is accounted for, leading to a predictable outcome.However, not all systems can be described as deterministic processes. Many natural phenomena exhibit randomness and uncertainty, leading to what is known as stochastic processes. Weather patterns, for example, are influenced by numerous variables, making precise predictions challenging. While meteorologists can provide forecasts based on models that incorporate both deterministic processes and stochastic elements, the inherent unpredictability of certain factors means that outcomes can vary significantly.The contrast between deterministic processes and stochastic processes raises interesting philosophical questions about free will and determinism. If our actions are part of a deterministic process, then can we truly claim to have free will? This debate has been ongoing for centuries, with thinkers like René Descartes and David Hume contributing to the discussion. Ultimately, whether one subscribes to a deterministic view of the universe or embraces the chaotic nature of existence, it is clear that understanding deterministic processes provides valuable insights into the workings of the world around us.In conclusion, a deterministic process is a crucial concept in various disciplines, offering a framework for predicting and understanding complex systems. While not all phenomena can be neatly categorized as deterministic processes, the ability to model and analyze these processes has profound implications for science, technology, and philosophy. As we continue to explore the intricacies of our universe, the interplay between determinism and randomness will remain a key area of inquiry, shaping our understanding of reality and our place within it.

在科学和数学领域，确定性过程的概念对理解系统随时间的行为至关重要。确定性过程指的是一系列事件，其结果完全由初始条件决定，没有任何随机性。这意味着，如果我们知道系统的初始状态和支配它的规则，就可以准确预测未来的状态。例如，考虑一个摆的运动。如果我们知道它的长度、重力加速度和释放时的初始角度，就可以准确计算它在任何给定时刻的位置。这种可预测性是确定性过程的标志。确定性过程的重要性超越了物理学，扩展到经济学、工程学和计算机科学等多个领域。在经济学中，假设理性行为的模型通常依赖于确定性过程来预测市场趋势。工程师利用确定性过程设计在已知条件下可靠运行的系统。例如，在设计桥梁时，工程师应用物理定律以确保结构能够承受特定负载而不发生故障。所涉及的计算基于确定性过程，每个变量都被考虑在内，从而导致可预测的结果。然而，并非所有系统都可以被描述为确定性过程。许多自然现象表现出随机性和不确定性，导致所谓的随机过程。例如，天气模式受到众多变量的影响，使得精确预测变得具有挑战性。虽然气象学家可以根据同时包含确定性过程和随机元素的模型提供预测，但某些因素固有的不确定性意味着结果可能会显著变化。确定性过程与随机过程之间的对比引发了关于自由意志和决定论的有趣哲学问题。如果我们的行为是确定性过程的一部分，那么我们能否真正声称拥有自由意志？这个辩论已经持续了几个世纪，笛卡尔和休谟等思想家为这一讨论做出了贡献。最终，无论一个人是否认同宇宙的决定论观点，还是接受存在的混沌本质，理解确定性过程都能为我们提供对周围世界运作的宝贵见解。总之，确定性过程是各个学科中的一个关键概念，为预测和理解复杂系统提供了框架。尽管并非所有现象都可以被整齐地归类为确定性过程，但建模和分析这些过程的能力对科学、技术和哲学有着深远的影响。在我们继续探索宇宙的复杂性时，决定论和随机性之间的相互作用将仍然是一个关键的研究领域，塑造我们对现实的理解以及我们在其中的位置。