mathematization

简明释义

英[ˌmæθəmətaɪˈzeɪʃən]美[ˌmæθəmətɪˈzeʃən]

n. 数学化；数学处理

英英释义

单词用法

同义词

反义词

例句

1.The discussion on the mathematization of economics bears a broad social, historical and cultural background.

关于经济学数学化的讨论有着广阔的社会历史文化背景。

2."Mathematization" was the ladder to upgrade "life math" into "formal math".

“数学化”是“生活数学”提升为“形式数学”的阶梯。

3.The ideas of Virtual life of Math, Mathematization, and Recreation, are the core principals of the Math teaching and learning theory of Freudenthal.

“数学现实”原则、“数学化”原则和“再创造”原则是弗赖登塔尔数学教学原则的核心。

4.The mathematization of economics began in earnest in the 19th century. Most of the economic analysis of the time was what would later be called classical economics.

经济学的数学化才真正开始于19世纪。大多数经济分析的时间就是后来被称为古典经济学。

5.In recent years, the study of mathematics in other disciplines to apply get more frequently and then also produced a "mathematization" of the corresponding concept.

近年来，数学在其他学科研究中的应用愈来愈频繁，继而还产生了“数学化”的相应概念。

6.It is also pointed out three primary reasons that ancient grain science and technology in China didn't realize mathematization .

文章最后指出了古代粮食科学技术未能实现数学化的三条主要原因。

7.These key traits of our humanity are threatened by the "mathematization of subjectivity," as Leon Wieseltier calls it.

这些人性的关键特质受到了里昂•维瑟·提尔所称的“主观数字化”的威胁。

8.In recent years, the study of mathematics in other disciplines to apply get more frequently and then also produced a "mathematization" of the corresponding concept.

近年来，数学在其他学科研究中的应用愈来愈频繁，继而还产生了“数学化”的相应概念。

9.Researchers are focusing on the mathematization 数学化 of social interactions to better understand behavior.

研究人员正专注于社会互动的数学化，以更好地理解行为。

10.The mathematization 数学化 of data is crucial for effective analysis.

数据的数学化对于有效分析至关重要。

11.The process of mathematization 数学化 allows scientists to model complex phenomena.

数学化的过程使科学家能够对复杂现象进行建模。

12.Teachers often encourage mathematization 数学化 of real-world problems to engage students.

教师们常常鼓励将现实问题进行数学化，以吸引学生的兴趣。

13.In economics, mathematization 数学化 helps in predicting market trends.

在经济学中，数学化有助于预测市场趋势。

作文

Mathematization is a process that involves translating real-world problems into mathematical language and concepts. This process is essential in various fields, including science, engineering, economics, and even social sciences. By applying mathematical principles to real-life situations, we can analyze complex systems, make predictions, and derive solutions to problems that may seem insurmountable at first glance. In this essay, I will explore the significance of mathematization (数学化) in our daily lives and its impact on various disciplines.To begin with, mathematization (数学化) allows us to simplify and understand complicated phenomena. For instance, in physics, the laws of motion can be expressed through equations that describe the relationship between force, mass, and acceleration. These mathematical models enable scientists to predict the behavior of objects under different conditions. Without mathematization (数学化), it would be challenging to grasp the underlying principles governing such natural occurrences.Moreover, mathematization (数学化) plays a crucial role in decision-making processes. In business, for example, companies often rely on statistical analysis and mathematical modeling to forecast sales, manage risks, and optimize resources. By quantifying variables and relationships, businesses can make informed decisions that enhance their competitiveness in the market. The ability to transform qualitative data into quantitative metrics through mathematization (数学化) is invaluable in today’s data-driven world.In addition, mathematization (数学化) fosters innovation and technological advancements. Engineers utilize mathematical principles to design structures, create algorithms, and develop new technologies. For instance, computer programming relies heavily on mathematical logic and algorithms to function efficiently. The process of mathematization (数学化) enables engineers and developers to solve problems creatively and push the boundaries of what is possible in technology.Furthermore, mathematization (数学化) has significant implications in social sciences. Economists use mathematical models to analyze market trends, consumer behavior, and economic policies. By employing mathematization (数学化), they can simulate different scenarios and evaluate the potential outcomes of various strategies. This quantitative approach provides a clearer picture of economic dynamics, allowing policymakers to make better-informed decisions that affect society as a whole.However, it is important to recognize the limitations of mathematization (数学化). While mathematics can provide powerful insights, it may not capture the full complexity of human behavior or natural systems. For example, while statistical models can predict trends, they may not account for unforeseen events or changes in societal norms. Therefore, while mathematization (数学化) is a valuable tool, it should be used in conjunction with qualitative analysis and critical thinking.In conclusion, mathematization (数学化) is a fundamental process that enhances our understanding of the world by translating complex problems into mathematical terms. Its applications span across various disciplines, from the natural sciences to social sciences, and it plays a vital role in decision-making, innovation, and problem-solving. As we continue to face increasingly complex challenges, the importance of mathematization (数学化) will only grow, making it essential for individuals and organizations to embrace mathematical thinking and methodologies.