additivity

简明释义

[ˌædɪˈtɪvɪti][ˌædəˈtɪvəti]

n. 添加;相加性

英英释义

The quality of being additive; the property of a system or process where the total effect is equal to the sum of the individual effects.

可加性;一种系统或过程的特性,其中总效果等于各个单独效果的总和。

单词用法

additivity of risks

风险的加性

additivity property

加性属性

assumption of additivity

加性假设

additive model

加性模型

additive effects

加性效应

additive relationships

加性关系

同义词

summation

求和

The additivity of the functions allows for easier calculations.

这些函数的可加性使计算变得更简单。

反义词

non-additivity

非加性

In systems with non-additivity, the whole is not equal to the sum of its parts.

在具有非加性的系统中,整体不等于部分之和。

interactivity

交互性

Interactivity in complex systems can lead to unexpected outcomes that are not predictable through additive models.

复杂系统中的交互性可能导致不可预测的意外结果,这些结果无法通过加性模型来预测。

例句

1.A detailed demonstration about the provement, the relation with the linear system, the homogeneity property and the additivity property of the superposition theorem is also given.

迭加定理与线性系统的关系.迭加定理的齐次性和可加性,作了较详细的论证。

2.Additivity of affect was obtained only when affective priming was suboptimal, suggesting that nonconscious affect is diffuse.

情感的加成性仅仅当情感促发在次优级时获得,这指出了潜意识的影响是弥漫的。

3.Additivity (the ability of measures to be summarized): Measures fall into three categories: fully additive, nonadditive, and semiadditive.

相加性(要总结的测度的能力):测度分成三个类别:全相加的(fullyadditive)、非相加的(nonadditive)和半相加的(semiadditive)。

4.Additivity becomes important when you consider the possible summarizations that will occur on a fact table.

当您考虑将在事实表上发生的可能汇总时,相加性就变得很重要。

5.The changes of ash fusion point of coal blending are not the relationship of simple additivity of ash fusion point for two blended coals but that of non-linearity.

配煤灰熔点的变化不是两种单煤灰熔点简单的加和关系,而是非线性的关系,配煤灰熔点与煤灰组成之间也有很大的关系。

6.Note: if you want to see the log messages on the JBOSS console as well, remove the additivity attribute from the category.

注意:如果还希望在JBOSS控制台中看到日志消息,应该删除category中的additivity属性。

7.This value is characterized as the unique function that satisfies efficiency, complete symmetry, the quasi-null player property and additivity.

这种价值作为唯一的方程的特点是,满足有效性、完全对称性等特点。

8.Conventional printer characterisation models are generally based on the assumption that the densities of primary colours are additive. However, additivity failure frequently occurs in practice.

传统的彩色打印系统特征化模型通常基于打印基色的色密度具有加和性的假设,然而实际中叠加特性缺失的现象经常出现。

9.The additivity of risk in finance means that the total risk is the sum of individual risks.

金融中的可加性意味着总风险是各个风险之和。

10.In chemistry, the additivity of certain properties can help predict the behavior of compounds.

在化学中,某些性质的可加性可以帮助预测化合物的行为。

11.The additivity of utility in economics suggests that total satisfaction can be derived from summing individual satisfactions.

经济学中的可加性表明,总满意度可以通过将个体满意度相加得出。

12.The principle of additivity allows us to calculate the total cost by simply adding the individual costs together.

原则上的可加性允许我们通过简单地将各个成本相加来计算总成本。

13.In sound engineering, the additivity of sound waves can create a richer audio experience.

在声音工程中,声波的可加性可以创造更丰富的音频体验。

作文

Additivity is a concept that plays a crucial role in various fields, including mathematics, physics, and economics. At its core, additivity refers to the principle that the total effect of multiple components is equal to the sum of their individual effects. This idea can be applied in numerous scenarios, helping us understand how different factors contribute to an overall outcome. For instance, in mathematics, the property of additivity is evident in operations like addition, where combining two numbers results in a new number that is the sum of the two. Similarly, in physics, the principle of superposition demonstrates additivity, as the total displacement of a wave can be determined by adding the displacements of individual waves. In economics, additivity can be observed in the context of utility functions. When consumers derive satisfaction from multiple goods, the total utility they experience is often the sum of the utilities derived from each good consumed. This additive nature allows economists to create models that predict consumer behavior based on the consumption of various products. Understanding additivity in this way helps policymakers design better economic strategies that consider the combined effects of different goods and services on consumer welfare.Moreover, in the realm of statistics, the concept of additivity is vital when analyzing data sets. For example, linear regression models assume that the relationship between the independent and dependent variables is additive, meaning that the effect of one variable on the outcome does not depend on the level of another variable. This simplification allows researchers to draw conclusions about relationships between variables more easily, though it is essential to recognize that real-world scenarios may not always adhere strictly to this principle.The importance of additivity extends beyond theoretical applications; it is also critical in practical situations. For instance, in environmental science, understanding the additive effects of pollutants can help scientists assess the overall impact on ecosystems. If each pollutant's effect is considered additive, researchers can estimate the total harm caused by the combination of different pollutants, leading to more informed decisions regarding environmental protection.However, it is important to note that not all systems exhibit additivity. In some cases, interactions between components can lead to synergistic or antagonistic effects, where the total impact is greater or less than the sum of individual effects. This non-additive behavior can complicate analyses and predictions, making it essential for researchers and practitioners to remain vigilant and consider potential interactions in their work.In conclusion, additivity is a fundamental principle that underlies many aspects of our understanding of the world. Whether in mathematics, physics, economics, or environmental science, recognizing the additive nature of various components allows for better analysis and decision-making. As we continue to explore complex systems, it remains crucial to distinguish between additive and non-additive effects to enhance our comprehension and improve our approaches to problem-solving. By grasping the significance of additivity, we can leverage this knowledge to foster advancements across multiple disciplines, ultimately benefiting society as a whole.

加法性是一个在多个领域中发挥重要作用的概念,包括数学、物理和经济学。其核心是,加法性指的是多个组成部分的总效果等于它们各自效果的总和。这一思想可以应用于许多场景,帮助我们理解不同因素如何共同影响整体结果。例如,在数学中,加法性这一性质在加法运算中表现得尤为明显,将两个数字相加会产生一个新数字,即这两个数字的和。同样,在物理学中,叠加原理展示了加法性,因为波的总位移可以通过将每个波的位移相加来确定。在经济学中,加法性可以在效用函数的背景下观察到。当消费者从多种商品中获得满意度时,他们所体验的总效用通常是每种消费商品所产生的效用之和。这种加法性质使经济学家能够建立模型,根据不同产品的消费预测消费者行为。以这种方式理解加法性有助于政策制定者设计更好的经济策略,考虑不同商品和服务对消费者福利的综合影响。此外,在统计学领域,加法性在分析数据集时至关重要。例如,线性回归模型假设自变量与因变量之间的关系是加性的,这意味着一个变量对结果的影响不依赖于另一个变量的水平。这种简化使研究人员能够更轻松地得出关于变量之间关系的结论,尽管必须认识到现实世界场景可能并不总是严格遵循这一原则。加法性的重要性不仅体现在理论应用中;在实际情况中也至关重要。例如,在环境科学中,理解污染物的加性效应可以帮助科学家评估对生态系统的总体影响。如果考虑每种污染物的效应是加性的,研究人员可以估计不同污染物组合造成的总危害,从而做出更明智的环境保护决策。然而,重要的是要注意,并非所有系统都表现出加法性。在某些情况下,组成部分之间的相互作用可能导致协同或拮抗效应,即总影响大于或小于各自效应的总和。这种非加性行为可能会使分析和预测变得复杂,因此研究人员和从业者必须保持警惕,考虑其工作中的潜在相互作用。总之,加法性是一个基础性原则,支撑着我们对世界的许多理解。无论是在数学、物理、经济学还是环境科学中,识别各种组成部分的加法性质都有助于更好地分析和决策。随着我们继续探索复杂系统,区分加性和非加性效应仍然至关重要,以增强我们的理解并改善我们的问题解决方法。通过掌握加法性的重要性,我们可以利用这一知识在多个学科中推动进步,最终惠及整个社会。