### 统计代写|数据结构作业代写data structure代考|Queues

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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

## 统计代写|数据结构作业代写data structure代考|What is a Queue

A queue is a data structure used for storing data (simalar to I inked lists and Stacks). In queuc, the order in which data arrives is important. In general, a queue is a liac of people or things waiting to be served in sequential order starting at the beginaing of the line or sequence.

Definition: A queue is an ordered list in which insertions are done at one cnd (rear) and deletions are done at other end (front). The first element to be inserted is the first one to be deleted. Hence, it is called First in First out (FIFO) or Last in I.ast out (LII.O) list.

Sinalar to Stacks, special namacs are given to the two chaages that can be maade to a queuc. When an clearcnt is iaserted in a queuc, the concept is called EnQueue, and when an clensent is removed from the queue, the concept is called DeQueue.

DeQueueing an empty queue is called underflow and EnQueuing an element in a full queue is called over flow. Generally, we treat them as exceptions. As an exanuple, consuder the snapshot of the quete.

## 统计代写|数据结构作业代写data structure代考|How are Queues Used

The concept of a queuc can be explained by observing a line at a reservation counter. When we enter the lias, we stand at the end of the line and the person who is at the front of the line is the one who will be served next. He will exit the queue and be served.
As this happens, the nexi person wall come at the head of the line, wall exit the queue and will be served. As cach person at the head of the line kecps cxiting the queue, we nocve towards the head of the line. Finally, we wall reach the head of the line and we will exalt the queue aad be served. This behavion is very useful in casc3 where there is a necd to haintain the order of arrival.

## 统计代写|数据结构作业代写data structure代考|Queues

As you can see, the producer and consumer do not necessarily alternate in execution. In this solution, we use the Quete. We use random_randint0 to nake production and consumption sonewhat varied.

The writeQ0 and readQ0 functions each have a specific purpose: to place an object in the queuc-ue are using the string ‘MONK’, for example-ind to consume a quetued object, respectively. Notice that we are producing one object and reading one object each tine.

The producer0 is going to nun as a single thread whose sole purpose is to produce an item for the queuc, wait for a bit, and then do it again, up to the specified number of times, chosen randomly per script execution. The consumer() will do likewise, with the exception of consuming an item, of course.

You will notice that the random number of seconds that the producer slecps is in general shorter than the amount of time the consumer sleeps. This is to discourage the consumer from trying to take itens from an empty queue. By giving the producer a shorter time period of waiting, it is more likely that there will already be an objeet for the consumer to consume by the time their tum rolk around again.
These are just setup lines to set the total number of threads that are to be spawned and executed.
$\mathrm{~ F u a d l y , ~ w e ~ h a v e ~ u m ~ a n a i n 0 ~ f u n c u i o n , ~ w h i c h ~ s h r u b l e l ~ l e o k ~ y u i t e ~ s a i}$ appropriate threads and send them on their way, finishing up when both threads have conchded execution.

We infer from this example that a program that has multiple tasks to perform can be organized to use separate threads for each of the tasks. This can result in a much cleaner program design than a single-threaded program that attempts to do all of the tasks.

We illustrated how a single-threaded process can limit an application’s performance. In particular, programs with independent, nondeterministic, and non-causal tasks that execute sequentially can be improved by division into separate tasks executed by individual threads. Not all applications will bencfit from multithreading due to overhead and the fact that the Python interpreter is a single-threaded application, but now you are nore cognizant of Python’s threading capabilities and can use this tool to your advantage when appropriate.

## 统计代写|数据结构作业代写data structure代考|What is a Queue

Sinalar 到 Stacks，特殊的 namacs 被赋予了两个可以编入队列的 chaages。当一个 clearcnt 在队列中被插入时，这个概念被称为 EnQueue，当一个 clensent 从队列中被移除时，这个概念被称为 DeQueue。

## 统计代写|数据结构作业代写data structure代考|Queues

writeQ0 和 readQ0 函数各有一个特定目的：将对象放入队列中 – 使用字符串“MONK”，例如 -ind 分别使用队列中的对象。请注意，我们正在生成一个对象，并且每个齿读取一个对象。

producer0 将作为单个线程运行，其唯一目的是为队列生成一个项目，稍等片刻，然后再做一次，直到指定的次数，每次脚本执行随机选择。consumer() 也会做同样的事情，当然，除了消费一个项目。

F在一种dl是, 在和 H一种在和 在米 一种n一种一世n0 F在nC在一世这n, 在H一世CH sHr在bl和l l和这ķ 是在一世吨和 s一种一世适当的线程并在途中发送它们，当两个线程都已确定执行时完成。

## 广义线性模型代考

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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。