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• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

## 数学代写|信息论作业代写information theory代考|A Note on Parent-Successor Social Technologies

Over the epistemological space, the non-natural technologies may be placed in fuzzy categories where each technological category is a variety-transformation specific in the sense of its utility in accomplishing a set of particular variety destruction-creation activities. The non-natural technological space for variety transformation and info-production is a collection of a family $\mathrm{f}$ set of technologies where each set is specific to accomplish a task of either variety destruction or variety creation. The conditions of fuzzy technological categories point to the existence of overlapping technological categories where a technology may serve more than one transformation task. Every non-natural technology resides in the primary-derived duality in the sense that every non-natural or natural technology is both a parent and offspring in the activities of variety transformations and hence info-production. It is said to be a parent if other technologies may be reduced to its conditions of existence. It is said to be an offspring if it can be constructed from a previously existed technology. The conditions of parent-offspring technological process is such that the technological process, just like the info-dynamics is always in stock-flow disequilibria.

The nature of the existence of the parent-offspring technologies is revealed by the stock-flow disequilibrium process. The natural $\mathbb{d}$-process always serves as the primary category as well as parent to the non-natural $\mathbb{\tau}_{\text {-processes. The access to the }}$ acquaintance, learning, understanding and mimicking through exactness and inexactness processes The general process may be presented in a cognitive geometry as in Fig. 4.1.

## 数学代写|信息论作业代写information theory代考|The Theory of Info-dynamics

The transformations of varieties over the ontological space with natural $\mathbb{U}_{\text {-process }}$ and over the epistemological space with social $\mathbb{\tau}$-process are through the dynamics of actual-potential polarities with matte-energy interplays. They are processes, the study of which requires an introduction of time-processes on the characteristic-signal dispositions that define the information at each time point with past-future continuity. The transformations are time-processors which act on the characteristic dispositions the changing identities of which are communicated through the signal dispositions. The introduction of time, therefore, is into the definition of information which requires that each of the building blocks must be time-indicated such that the object set, the set of phenomena, the characteristic disposition, the signal disposition and the set of varieties are equipped with a time set $\mathbb{T}$, where there are $(\Omega, \mathbb{T}),(\Phi, \mathbb{T})(\mathbb{X}, \mathbb{T}),(\mathbb{S}, \mathbb{T})$ as the object time set, the phenomenon-time set, the characteristics-time set and the signal-time set respectively, all of which correspond to the variety-time set, $(\mathbb{V}, \mathbb{T})$. The nature and the concept of the time set $\mathbb{T}$ have been discussed in Chap. 3 of this monograph where distinctions were made among pure time, cost time, benefit time and cost-benefit time in the transformation-decision process. The time set, whatever the concept and definition, must be related to a set of time-processors where each time processor corresponds to a time-point transformation of the same object in time-point varieties that allow the examination of operative behavior of categorial conversion and decision-choice intentionality defined in the Consciencism of the internal structure of the varieties [R17.16].

The structure of the transformation-decision process is the destruction of the existing varieties and the creation of new varieties in time-dependent variety space $(\mathbb{V}, \mathbb{T})$ and must be studied from the static and dynamic conditions as provided by $(\Omega, \mathbb{T})$, the time-dependent universal object set, $(\Phi, \mathbb{T})$, the time-dependent phenomenon space, (X, $\mathbb{T})$,the time-dependent characteristic space, and $(\mathbb{S}, \mathbb{T})$ the time-dependent sign space. The static conditions involve in providing the definitional conditions of information on $(\mathbb{V}, \mathbb{T})$ which then establish the initial conditions of change, while the dynamic conditions provide transformation conditions on the primary universal set of varieties $(\mathbb{V}, \mathbb{T})$ with an info-support $(\mathbb{Z}, \mathbb{T})$ to a new universal set of derived varieties $(\mathbb{V}, \mathbb{T})\pi$ with info-support $(\mathbb{Z}, \mathbb{T})\pi$ where the subscript $(\pi)$ identifies the derived.

# 信息论代写

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## 有限元方法代写

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## MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。

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