经济代写|供应链管理代写supply chain management代考|GMBA6017

2022年9月22日

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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
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经济代写|供应链管理代写supply chain management代考|CUCKOO SEARCH ALGORITHM

Cuckoo Search (CS) is a new heuristic algorithm inspired by parasite reproduction behaviors that are mandatory in certain cuckoo species that lay eggs in nest nests. Some cuckoos specialize in mimicking the color and pattern of the eggs of several selected hosts. This reduces the likelihood of leaving the egg. If the host bird detects a foreign egg, it is either left behind or eliminated. Parasitic cuckoos prefer a nest where the host bird lays eggs. Cuckoo eggs hatch early than host eggs, and when absorbed, they chase host eggs away from the nest. For example, cuckoo chickens receive a lot of food, and sometimes, they mimic the sound of a rooster in order to eat more. Most of the time, cuckoos search for a simple, random street that becomes a Markov chain, the next position based on the current position, and the possible transition from the next. The use of Lévy flights instead of simple random routes improves search capabilities. Lévy’s flight is a random walk on stage after spreading heavy probability. Each cuckoo is a possible solution to the problem under consideration. The main goal is to come up with a new and possibly better (cuckoo) solution to replace it with a less efficient solution. Every nest has eggs, but as the problem progresses, some eggs can be used to give a number of solutions. There are three basic rules customized for CS. The first rule is that every cuckoo lays eggs and throws them at random nests. The second rule states that the nest with the longest physical form is transmitted to the next generation, while the latter rule indicates that the number of host nests is recorded and that the eggs that have been hatched by the cuckoo are found by the host bird with a probability of $m[0$, 1], and according to $\mathrm{m}$, the host bird throws its eggs or leaves. It is assumed that only $m$ fraction of the nest is replaced by the new nest. Cuckoo hunters have been implemented on the basis of three rules. In order to generate a new solution $P_i^{t+1}$ for the cuckoo clock, a Lévy flight is performed. This step is called Global Random Walk and is given by
$$P_i^{t+1}=P_i^t+\delta \otimes \operatorname{Lévy}(v)\left(P_{\text {best }}-P_i^t\right)$$
The local random walk is given by:
$$P_i^{t+1}=P_i^t+\delta \otimes L(m-\mathbb{C}) \otimes\left(\mathrm{P}j^t-P_k^t\right)$$ where $P_i^t$ is the previous solution, $\delta>0$ is the step size with respect to the scales of the problem, and $\otimes$ is the multiplication based on the input. Here, $P_j^t$ and $P_k^t$ are solutions chosen at random and $P{\text {best }}$ is the best solution for the moment. In this work, the length of random meals in Lévy flights because of the more efficient exploration of the search space by Lévy flights is considered and derived from the Lévy distribution with limited variants and meanings.

供应链管理代考

经济代写|供应链管理代写supply chain management代考|布谷鸟搜索算法

$$P_i^{t+1}=P_i^t+\delta \otimes \operatorname{Lévy}(v)\left(P_{\text {best }}-P_i^t\right)$$

$$P_i^{t+1}=P_i^t+\delta \otimes L(m-\mathbb{C}) \otimes\left(\mathrm{P}j^t-P_k^t\right)$$给出，其中$P_i^t$是前面的解，$\delta>0$是关于问题尺度的步长，$\otimes$是基于输入的乘法。在这里，$P_j^t$和$P_k^t$是随机选择的解决方案，而$P{\text {best }}$是目前的最佳解决方案。在这项工作中，由于Lévy航班对搜索空间的探索更有效，因此考虑了Lévy航班中的随机餐的长度，并从具有有限变量和含义的Lévy分布中推导出来。

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。