## 计算机代写|数值方法代写Numerical methods代考|Math231

statistics-lab™ 为您的留学生涯保驾护航 在代写数值方法Numerical methods方面已经树立了自己的口碑, 保证靠谱, 高质且原创的统计Statistics代写服务。我们的专家在代写数值方法Numerical methods代写方面经验极为丰富，各种代写数值方法Numerical methods相关的作业也就用不着说。

• 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

## 计算机代写|数值方法代写Numerical methods代考|Gas flaring

Gas flares known as the burning of gas are created through different stages of oil and gas exploration. It is a main source of concern in oil producing countries as it releases significant amount of greenhouse gases. There are research works on how to convert this process for energy generation (ref). However, in a few developing countries, these gases are burned in air, thereby polluting the atmosphere and increasing the temperature of the geographical location.

Gas flaring is also defined as hydrocarbon harvesting and the procedure of combusting gas from wells. In recent times, it is regarded as a major environmental issue, contributing to approximately 150 billion meter cube.

There are three types of flaring: emergency, process, and product flaring. Emergency flaring occurs during compression failure from valve breakage. Process flaring occurs during petrochemical processes, and product flaring occurs during exploration.
There are different causes of gas flaring:
i. Natural gas carried to the surface but cannot be used as it is burned as a means of disposal
ii. Result of oil extraction
iii. Inadequate structure to put gas for industrialization
iv. Excess gas and oils after extraction
v. To avoid explosions caused by simply bottling up huge quantities of gases, flaring is used.

The effects of gas flaring includes acid rain, air pollution, influencing climate change, and reduced agricultural practice. Sulfur dioxide and nitrogen oxide emissions are the main factors of acid rain, which also are combined with atmospheric moisture to produce sulfuric acid and nitric acid, respectively. Acidification of lakes, ponds, and rivers affects both the aquatic and terrestrial organisms. Acid rain also quickens the deterioration of construction materials and paints. Flaring of gas results in the release of impurities, toxic substances that are harmful to humans. $\mathrm{CO}_2$ is produced when gas is not completely burned, and it the most toxic substance to human health. Environmental implications of this gas flaring are severe because it is such an inefficient and poor use of potential fuel that pollutes air. The effects of gas flaring on climate change are significant as it is also a form of fossil fuels burning. The main component of gas flaring is carbon dioxide. By emitting $\mathrm{CO}_2$, the major greenhouse gas, gas flaring contributes to global warming. The second major gas which contributes to greenhouse effect is methane, which is released when gas is vented without being burned. Gas flaring has been seen to affect agriculture as its pollutants are released into the atmosphere like nitrogen, carbon, sulfur oxides, particulate matter, and hydrogen sulfide. These pollutants deplete soil nutrients by acidifying the soil. Given the immense heat generated as well as the $\mathrm{pH}$ acid characteristics of the soil, there would not be any vegetation in the areas of gas flares. Temperature changes have a different effect on crops, including stunted growth, scotched plants, and withered young crops. Gas flaring has also negatively impacted upon human health due to the inhalation of toxic gases which are emitted during unfinished gas flare combustion. These gases have been connected to negative health challenges including cancer, neurological problems, reproductive issues, developmental disorders, children’s abnormalities, lung damage, and skin issues. As seen from the above, there are lots of gray area in numerically modeling to nowcast or forecast gas flares (Fig. 2.6).

## 计算机代写|数值方法代写Numerical methods代考|Bioaerosol production as a source of air pollution

Bioaerosols are also known as biological aerosols. They are secondary divisions of particles that are gotten from land habitats and aquatic ecosystems into the climate. It involves living and nonliving things which include organisms, distributive methods of organisms, and their waste products. They are also be said to be minute particles that can be suspended in the air and are transferred or carried around by the wind to different places of the earth. This then implies that bioaerosol either comes from organisms that have life such as animals (i.e., pets) and trees or that are the organisms themselves (e.g., bacteria). Bioaerosol also consists of dead cells. Bioaerosol causes a lot of health effects. This means that, in general, they are harmful to the health of living beings as they come from things that stay around human life and can also be spread out through the air.
There are about four types of bioaerosols:

• Pollen
• Bacteria
• Virus
• Fungus
They are all harmful to health. Some of the types of bioaerosols are living and some are nonliving.

Bioaerosols can be ejected into the earth’s surface through clouds, dust plumes, and general distribution.

It was discovered that bioaerosol concentration or focus is high at confined spaces or places both indoor and outdoor. It is relatively higher in indoor environments than outdoor environments as outdoors usually have at least a little free space, unlike an indoor place where if it is enclosed there won’t be any form of breathing space.

Bioaerosol has its harmful effects on the lives of living things and they are listed as follows:

• Respiratory effects (lung infections)
• Transmittable or transferrable disease
• Cancer
Cancer is a disease caused by exposure to a toxic atmosphere such as being present in a place containing bioaerosol and inhaling oxygen which has already been infected by bioaerosol. Cancer can also be gotten when people are working in poultry industries. Animals have this bioaerosol and so when people work around them and do not protect themselves, they can get the bioaerosol from the animal urines, excreta, etc. which then leads to cancer (especially cancer of the skin).
Bioaerosols cause transmittable or transferrable diseases. Here, the diseases are transferred by bacteria or microorganisms that carry diseases but we are dealing with the ones that carry the bioaerosol. This type is said to be communicable because they are gotten by direct contact such as touching and licking, and they can also be gotten via indirect contact such as through coughing.

# 数值方法代考

## 计算机代写|数值方法代写Numerical methods代考|Gas flaring

i．天然气被带到地表但不能使用，因为它被燃烧作为一种处置手段
ii。油提取的结果
iii。产业化供气结构不完善
iv．提取后的过量气体和油
v. 为了避免因简单地装瓶大量气体而引起的爆炸，使用了燃烧。

## 计算机代写|数值方法代写Numerical methods代考|Bioaerosol production as a source of air pollution

• 花粉
• 细菌
• 病毒
• 真菌
它们都对健康有害。有些类型的生物气溶胶是有生命的，有些是无生命的。

• 呼吸系统影响（肺部感染）
• 可传播或可转移的疾病
• 癌症
癌症是一种由于暴露于有毒气氛而引起的疾病，例如存在于含有生物气溶胶的地方并吸入已经被生物气溶胶感染的氧气。人们在家禽业工作时也可能患上癌症。动物身上有这种生物气溶胶，所以当人们在它们周围工作而不保护自己时，他们可以从动物的尿液、排泄物等中获取生物气溶胶，从而导致癌症（尤其是皮肤癌）。
生物气溶胶会导致可传播或可转移的疾病。在这里，疾病是由携带疾病的细菌或微生物传播的，但我们正在处理携带生物气溶胶的细菌或微生物。据说这种类型是可传染的，因为它们可以通过触摸和舔等直接接触感染，也可以通过咳嗽等间接接触感染。

## 有限元方法代写

tatistics-lab作为专业的留学生服务机构，多年来已为美国、英国、加拿大、澳洲等留学热门地的学生提供专业的学术服务，包括但不限于Essay代写，Assignment代写，Dissertation代写，Report代写，小组作业代写，Proposal代写，Paper代写，Presentation代写，计算机作业代写，论文修改和润色，网课代做，exam代考等等。写作范围涵盖高中，本科，研究生等海外留学全阶段，辐射金融，经济学，会计学，审计学，管理学等全球99%专业科目。写作团队既有专业英语母语作者，也有海外名校硕博留学生，每位写作老师都拥有过硬的语言能力，专业的学科背景和学术写作经验。我们承诺100%原创，100%专业，100%准时，100%满意。

## 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。

## 计算机代写|数值方法代写Numerical methods代考|MATHS7104

statistics-lab™ 为您的留学生涯保驾护航 在代写数值方法Numerical methods方面已经树立了自己的口碑, 保证靠谱, 高质且原创的统计Statistics代写服务。我们的专家在代写数值方法Numerical methods代写方面经验极为丰富，各种代写数值方法Numerical methods相关的作业也就用不着说。

• 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

## 计算机代写|数值方法代写Numerical methods代考|Statistical data treatment

There are various methods involved in the treatment of data, and one of the most common methods is the statistical method of treatment of data. When you apply a statistical approach to a data set in order to turn it from a list of meaningless numbers into useful output, this is known as the statistical treatment of data. Statistical method includes but not limited to; mean, median mode, range, standard deviation, conditional probability, range, distribution range, sampling, correlation, regression,and probability. There are some notable errors in data treatment, and using statistical techniques to classify potential outliers and errors is an important aspect of data processing. Statistical data treatment is one of the essential aspects of any experiment conducted today. It can be seen using any known statistical method to draw meaning from a set of given meaningless data sets. Statistical distribution can be classified into two groups. To begin with, one of them is considered to have discrete random variables, which means that each word includes a single numerical value. The second form of statistical distribution, which includes continuous random variables, is called a continuous random variable distribution (the data is known to take infinitely many values). Statistical data treatment often entails defining the data collection, and one of the most effective ways to do so is to use the measure of core tendencies such as the mean, mode, and median.

The core tendencies described above make it simple for any researcher to perform any research experiment and understand how the data set is concentrated. Central tendencies such as the standard deviation, range, and uncertainty help the researcher understand the data set’s distribution. Nevertheless, care should consistently be taken to assume that all data sets are the same and evenly distributed. Any of the above-mentioned central tendencies can be used to ensure that.

This method involves using some statistical methods to transform a given meaningless data into meaningful data sets. It involves the use of some statistical methods:

• MEAN: In statistics, this is a key idea. It describes the characteristics of a statistical distribution. In a set of numbers, it is the most common value.

To measure it, take into account the figures of the relative multitude of terms and then divide by the number of terms. The mean of a collection of data can be determined in several ways. It can be determined using the arithmetic mean process, which involves dividing the total number of data sets by the sum of the total number of data sets. To find the mean, add all of the numbers in a set together, then divide the total by the total number of numbers. A dataset’s mean can also be calculated by a method known as the geometric mean, which is the $n$th root of the product of all numbers in the data set. It includes the volatility and compounding effects of returns. The arithmetic mean, also known as the mean or standard, is the sum of a set of values divided by the number of values in the group.

## 计算机代写|数值方法代写Numerical methods代考|Air pollution

According to World Health Organization (WHO), 9 out of 10 people breathe highly contaminated air. Air pollution can be defined as the presence or addition of harmful particulates (such as aerosols) or gases (such as greenhouse gases) to the atmosphere that are detrimental to the well-being of human beings and other living organisms and cause damage to the ozone and climate. Some examples of these harmful substances include chlorofluorocarbon (CFC), ammonia, nitrogen oxide $\left(\mathrm{NO}_{\mathrm{x}}\right)$, carbon monoxide (CO), exhaust fumes (soot) etc. Air pollution can be classified under indoor and outdoor air pollution.

Air pollution is one of the biggest risk factors in the world as it causes up to 5 million deaths each year and is the cause of $9 \%$ of deaths around the world. In some developed countries, death rates have been on a decline due to the control and reduction measures of indoor air pollution such as improving proper ventilation, reducing the use of a fireplace. Also, the reduction of outdoor pollution through the enactment of laws and decrees that has strict implications on industrial emissions, anthropogenic emissions, and emissions from unconventional sources such as sewage. The unconventional sources are the new area of research as it is found to emit dangerous bioaerosols into the environment. Most of the bioaerosols are pathogenic. The anthropogenic emissions is the most common, and it can appear as one of the following.

Burning of fossil fuels: Most of the air pollution takes place due to the burning of fossil fuels. Over the years, the burning of fossil fuels has been almost inevitable because fossil fuels have been one of the major sources of energy, electricity, and power generation. In the United States, fossil fuel consumption has nearly tripled within the last 50 years. When these fuels are burnt, they release harmful gases such as carbon monoxide, i.e., a greenhouse gas which is unhealthy to living organisms. Though there is a new crusade under the aegis of sustainable development goals for the promotion of clean environment through the adoption of renewable energy sources, the use of fossil fuel is still on the increase due to many factors such international politics, governmental inadequacies, corruption, and existing employments relating to fossil fuel (Fig. 2.1).

Combustion of fossil fuels is considered a major source of the increased $\mathrm{CO}_2$. The amount of $\mathrm{CO}_2$ produced per equivalent energy unit varies depending on the fuel-gas produces less than oil, and oil produces less than coal (Fig. 2.2). There are other sources of $\mathrm{CO}_2$ production aside from fossil fuel as presented in Fig. 2.2.
Aside from the air pollution from fossil fuel, the pollutants in fuel include mercury, arsenic, and sulfur in coal; sulfur, vanadium, and nickel in oil; and sulfur in gas. These pollutants in the form of heavy metals are an extended danger of fossil fuel burning.

# 数值方法代考

## 计算机代写|数值方法代写Numerical methods代考|Statistical data treatment

• MEAN：在统计学中，这是一个关键概念。它描述了统计分布的特征。在一组数字中，它是最常见的值。

## 有限元方法代写

tatistics-lab作为专业的留学生服务机构，多年来已为美国、英国、加拿大、澳洲等留学热门地的学生提供专业的学术服务，包括但不限于Essay代写，Assignment代写，Dissertation代写，Report代写，小组作业代写，Proposal代写，Paper代写，Presentation代写，计算机作业代写，论文修改和润色，网课代做，exam代考等等。写作范围涵盖高中，本科，研究生等海外留学全阶段，辐射金融，经济学，会计学，审计学，管理学等全球99%专业科目。写作团队既有专业英语母语作者，也有海外名校硕博留学生，每位写作老师都拥有过硬的语言能力，专业的学科背景和学术写作经验。我们承诺100%原创，100%专业，100%准时，100%满意。

## 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。

## 计算机代写|数值方法代写Numerical methods代考|MA3525

statistics-lab™ 为您的留学生涯保驾护航 在代写数值方法Numerical methods方面已经树立了自己的口碑, 保证靠谱, 高质且原创的统计Statistics代写服务。我们的专家在代写数值方法Numerical methods代写方面经验极为丰富，各种代写数值方法Numerical methods相关的作业也就用不着说。

• 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

## 计算机代写|数值方法代写Numerical methods代考|Mathematical technique

This is a technique that involves the use of mathematical theories, formulae, and mathematical manipulation. Some of these mathematical processes include:

I. Regression analysis: This is an analysis used to evaluate the relationship between two or more set of numerical data. When using this technique, we look for a correlation between the dependent numerical data and any number of independent variables that might have an effect on these numerical data. The aim of regression analysis is to estimate how one or more variables might impact the dependent numerical data, in order to identify trends and patterns. This was used specifically for prediction and forecasting future trends. It is also important to note that regression analysis only helps to determine whether or not there is a relationship between a set of numerical set of data, and it does not say anything about the cause or effect.
II. Factor analysis: This is a technique used to reduce a large set of variables to a smaller number of variables. It works on the idea of multiple separate, observable variables correlate with each other because they are all associated with an underlying set. This is useful not only because it reduces variable in a particular set of numerical data into smaller understandable variables, but it also helps to uncover hidden patterns.
III. Time series analysis: This is a statistical technique used to identify numerical data using time interval. It records and separate data into groups based on the data that have similar time interval or the time created.

Numerical analysis is mostly needed to solve engineering problems that result into equations that cannot be solved analytically with simple formulas. Some applications are listed here:
a. Modern applications and computer software: Most sophisticated numerical analysis software is embedded in popular software packages, e.g., spreadsheet programs.

b. Business applications: Modern businesses these days make much use of optimization methods in deciding what or how to allocate a resource most efficiently, such as inventory control, scheduling, budgeting, and investment strategies.

## 计算机代写|数值方法代写Numerical methods代考|Computational technique

This is a technique that involves the use of AI systems such as the computer system. This involves using programmed codes, encoded scripts formulas to arrange and present numerical data in an organized manner meaningful to interpret and use. There are a lot of programming software created to solve this problem. Some of the best ones include these:

I. Analytica: This is a software created and developed by Lumina Decision Systems for receiving/retrieving, analyzing, and communicating numerical data. It uses hierarchical influence diagrams for visual creation and view of models, intelligent arrays for working on multidimensional data.
II. MATLAB: Matrix Laboratory is a proprietary multi-paradigm programming language and numeric computing working environment developed by MathWorks. MATLAB makes it possible for matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages. MATLAB is made for the source purpose of numerical data treatment.
III. FlexPro: This is a software designed for the analysis and presentation of scientific and technical data. This software was created by the Weisang $\mathrm{GmbH}$ team. It was designed to run Microsoft windows. FlexPro can analyze large amount of data with high sampling rates. All data to be analyzed are stored in an object database. FlexPro has a built-in programming language, FPScript, which is optimized to carry out data analysis and support direct operations on non-scalar objects such as vectors and matrices as well as composed data structures like signal series.
IV. FreeMat: A free open-source numerical data treatment environment and programming language, similar to MATLAB.
V. $\mathrm{jLab}$ : This is a numerical computational environment created with a Java software and interface.

# 数值方法代考

## 计算机代写|数值方法代写Numerical methods代考|Mathematical technique

：现代应用程序和计算机软件：大多数复杂的数值分析软件都嵌入到流行的软件包中，例如电子表格程序。

b. 商业应用：如今的现代企业大量使用优化方法来决定什么或如何最有效地分配资源，例如库存控制、调度、预算和投资策略。

## 计算机代写|数值方法代写Numerical methods代考|Computational technique

I. Analytica：这是由 Lumina Decision Systems 创建和开发的软件，用于接收/检索、分析和交流数值数据。它使用分层影响图来可视化创建和查看模型，使用智能数组来处理多维数据。

## 有限元方法代写

tatistics-lab作为专业的留学生服务机构，多年来已为美国、英国、加拿大、澳洲等留学热门地的学生提供专业的学术服务，包括但不限于Essay代写，Assignment代写，Dissertation代写，Report代写，小组作业代写，Proposal代写，Paper代写，Presentation代写，计算机作业代写，论文修改和润色，网课代做，exam代考等等。写作范围涵盖高中，本科，研究生等海外留学全阶段，辐射金融，经济学，会计学，审计学，管理学等全球99%专业科目。写作团队既有专业英语母语作者，也有海外名校硕博留学生，每位写作老师都拥有过硬的语言能力，专业的学科背景和学术写作经验。我们承诺100%原创，100%专业，100%准时，100%满意。

## 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。