## 数学代写|信息论作业代写information theory代考|COMP30690

2022年9月26日

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## 数学代写|信息论作业代写information theory代考|The Transformation-Transitional Matrix, Categorial Conversion and Necessity

The structure of universal info-dynamics must be seen in two sub-structures of the ontological info-dynamics and the epistemological info-dynamics as organic varieties with organic identities in relational continuum and unity. These two structures must be kept in mind when one views the matrixes which represent the general and the specific info-production systems. The study of the information structure on the column vector $\mathbb{V}$ as the primary category and any column vector taken as defining the conditions of subsequent evolution presents the necessary conditions for transformation. The theory designed for the study of these necessary conditions for transformation in destruction-construction duality is called the theory of categorial conversion [R17.15]. The theory of categorial conversion presents the necessary conditions of information on any element in the primary column vector to be internally transformed from the initial categorial identity. This necessary conditions define the socio-natural necessity in the dynamic space of actual-potential polarities which contains the sub-spaces of negative and positive dualities with relational continuum and unity. The concepts of relational continuum and unity have been explained. The relational continuum presents a situation where every negative characteristic set has a positive-set characteristic support while the relational unity affirms unified conditions that define the identity of the duality.

From the principle of categorial conversion, any element $m_{i, j}$ and hence correesponding information of any of the column of the $t_j$-column vectors may he considered as a primary category from which the subsequent categorial elements of $\mathrm{w}{\mathrm{it}{\ell}}$ may be derived where $\left(\left(\mathrm{t}{\mathrm{l}}-\mathrm{t}{\mathrm{j}}>0\right) \in \mathbb{T}\right)\left(\mathbb{Z}{\mathrm{it}{\mathrm{j}}}^* \cap \mathbb{Z}{\mathrm{i}{\mathrm{t}}}^\right)=\mathbb{Z}{\mathrm{it}{\mathrm{j}}}^$. The last statement is an expression of the principle of non-uniqueness of primary category [R17.15], [R17.16]. The principle of non-uniqueness of the primary category in the study of transformation or any dynamics defines a powerful condition for transformations, where the initial conditions for the study of destruction-construction processes or space-time processes are not unique and may be arbitrarily selected. The necessary conditions establish the command and control instruments that must be manufactured under the principle of need, freedom and necessity. The command and control instruments must be manufacture by a decision-choice system. The successful instrumentation makes available to the decision-choice system the necessary conditions of the management of the command and control elements. Let such necessary conditions be specified as $\boldsymbol{A}(\cdot)$ which will vary from variety to variety and from column vector to column vector as specified in the transformationtransitional-processing matrix and the summary in Table 5.1.

## 数学代写|信息论作业代写information theory代考|The Transformation-Transitional Matrix

The theory of categorial conversion is used to study the necessary conditions for information expansion through categorial transformation of varieties where each variety is uniquely define by the categorial information set. It is devoted to the study of the conditions of info-statics, information stock of variety identification and the specification of initial conditions of info-dynamics at any time point in the sense of continual transformations of varieties and categorial varieties. The necessary conditions are not sufficient to bring about transformations of varieties and the updating of the information stocks. Let us keep in mind that for each given $\mathfrak{w}{\mathrm{it}{\mathrm{j}}} \approx \mathrm{v}{\mathrm{i}}$ the equation of motion from $v{\mathrm{i}} \in \mathbb{V}$ to $\mathfrak{w}{\mathrm{it}{\mathrm{j}}} \in \mathbb{V}$ is revealed by the symmetric info-set difference $\left(\mathbb{Z}{\mathrm{it}{\mathrm{j}}}^* \nabla \mathbb{Z}{\mathrm{i}}^\right)$ when the sufficient conditions are met. The symmetric info-set difference may be studied by combining it with the info-set relative complement $\left(\frac{z{i j}^}{z_i^*}\right)$ in addition to info-set containment. It may be kept in mind that the structure of the info-dynamics is conic stack that contains the initial cone and conically expends outward in a time-forward motion. It also conically reduces inward in a time-backward motion to the initial cone. The study of the sufficient conditions containing freedom is the study of transformation-transitional processing operators $\mathcal{J}_{\mathfrak{q}_j} \in \mathbb{T}(\cdot)$, where each of these transformation processing operators is generated by a decision-choice system with or without intentionality. The conditions of non-intentionality may apply to natural transformations of varieties and categorial varieties while the conditions of intentionality may apply to social transformations of varieties and categorial varieties.

# 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。