## 会计代写|中级管理会计代写Intermediate Management Accounting代考|ACCG3030

statistics-lab™ 为您的留学生涯保驾护航 在代写中级管理会计Intermediate Management Accounting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。我们的专家在代写中级管理会计Intermediate Management Accounting代写方面经验极为丰富，各种代写中级管理会计Intermediate Management Accounting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

## 会计代写|中级管理会计代写Intermediate Management Accounting代考|WEIGHING UP THE COSTS AND BENEFITS

In theory, a particular item of management accounting information should only be produced if the costs of providing it are less than the benefits, or value, to be derived from its use. This cost-benefit issue will limit the amount of management accounting information provided.
Figure $1.8$ shows the relationship between the costs and value of providing additional management accounting information.

Figure $1.8$ shows how the total value of information received by the manager eventually begins to decline. This is, perhaps, because additional information becomes less relevant, or because of the problems that a manager may have in processing the sheer quantity of information provided. The total cost of providing the information, however, will increase with each additional piece of information. The broken line indicates the point at which the gap between the value of information and the cost of providing that information is at its greatest. This represents the optimal amount of information that should be provided. Beyond this optimal level, each additional piece of information will cost more than the value of having it. This theoretical model, however, poses a number of problems in practice, which we shall now discuss.

To illustrate the practical problems of establishing the value of information, let us assume that when parking our car, we accidentally reversed into a wall in a car park. This resulted in a dented boot and scraped paintwork. We want to have the dent taken out and the paintwork resprayed at a local garage. We have discovered that the nearest garage would charge $£ 400$, but we believe that other local garages may offer to do the job for a lower price. The only way of finding out the prices at other garages is to visit them, so that they can see the extent of the damage. Visiting the garages will involve using some fuel and will take up some of our time. Is it worth the cost of finding out the price for the job at the various local garages? The answer, as we have seen, is that if the cost of discovering the price is less than the potential benefit, it is worth having that information.

To identify the various prices for the job, there are several points to be considered, including:

• How many garages shall we visit?
-What is the cost of fuel to visit each garage?
• How long will it take to make all the garage visits?
• At what price do we value our time?
The economic benefit of having the information on the price of the job is probably even harder to assess, in advance. The following points need to be considered:
-What is the cheapest price that we might be quoted for the job?
• How likely is it that we shall be quoted a price cheaper than $£ 400$ ?
As we can imagine, the answers to these questions may be far from clear – remember that we have only contacted the local garage so far. When assessing the value of accounting information, we are confronted with similar problems.

Producing management accounting information can be very costly. The costs, however, are often difficult to quantify. Direct, out-of-pocket costs, such as salaries of accounting staff, are not usually a problem, but these represent only part of the total costs involved. There are other costs, such as the cost of users’ time spent on analysing and interpreting the information provided.

## 会计代写|中级管理会计代写Intermediate Management Accounting代考|MANAGEMENT ACCOUNTING AS AN INFORMATION SYSTEM

We have already seen that management accounting can be seen as the provision of a service to its ‘clients’, the managers. Another way of viewing management accounting is as a part of the business’s total information system. Managers have to make decisions concerning the allocation of scarce economic resources. To ensure that these resources are efficiently allocated, managers often require economic information on which to base their decisions. It is the role of the management accounting system to provide that information.

The management accounting information system has certain features that are common to all information systems within a business. These are:

• identifying and capturing relevant information (in this case, economic information);
recording the information collected in a systematic manner;
analysing and interpreting the information collected; and
reporting the information in a manner that suits the needs of individual managers.
The relationship between these features is set out in Figure $1.9$.
Given the decision-making emphasis of this book, we shall be concerned primarily with the last two elements of the process – the analysis and reporting of management accounting information. We shall consider the way in which information is used by, and is useful to, managers rather than the way in which it is identified and recorded.The design of a management accounting system should reflect the particular features of the business. This means that no two management accounting systems will be the same. Nevertheless, all management accounting systems should be designed with the principles discussed above (influence, relevance, analysis and trust) firmly in mind. In particular, managers need to have trust in the integrity of the information generated and the reports provided should be tailored to their individual needs.

## 会计代写|中级管理会计代写中间管理会计代考|权衡成本和收益

.

-我们可能为这项工作开出的最便宜的价格是多少?我们被报的价格比$£ 400$便宜的可能性有多大?正如我们所想象的，这些问题的答案可能还很不清楚——记住，到目前为止我们只联系了当地的汽车修理厂。在评估会计信息的价值时，我们也面临着类似的问题。 生产管理会计信息可能是非常昂贵的。然而，成本往往难以量化。直接的自付费用，例如会计工作人员的薪金，通常不是问题，但这些只是所涉总费用的一部分。还有其他成本，例如用户花在分析和解释所提供的信息上的时间成本

## 会计代写|中级管理会计代写中级管理会计代考|管理会计作为一个信息系统

• 识别和捕获相关信息(在这种情况下，是经济信息);
以系统的方式记录收集的信息;
分析和解释收集的信息;和
报告信息的方式，以适合个别经理的需要。这些特征之间的关系如图所示 $1.9$鉴于本书强调决策，我们将主要关注决策过程的最后两个要素——管理会计信息的分析和报告。我们将考虑管理人员使用信息的方式以及对管理人员有用的方式，而不是确定和记录信息的方式。管理会计制度的设计应反映企业的特点。这意味着没有两种管理会计制度是相同的。尽管如此，所有管理会计制度的设计都应牢牢记住上述原则(影响、相关性、分析和信任)。特别是，管理人员需要对所生成的信息的完整性有信任，所提供的报告应该根据他们的个人需要量身定制

## 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。

## 会计代写|中级管理会计代写Intermediate Management Accounting代考|ACCG1000

statistics-lab™ 为您的留学生涯保驾护航 在代写中级管理会计Intermediate Management Accounting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。我们的专家在代写中级管理会计Intermediate Management Accounting代写方面经验极为丰富，各种代写中级管理会计Intermediate Management Accounting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

## 会计代写|中级管理会计代写Intermediate Management Accounting代考|WHAT IS MANAGEMENT ACCOUNTING

Having considered what businesses are and how they are organised and managed, we can now turn our attention to the role of management accounting. A useful starting point for our discussion is to understand the general role of accounting, which is to help people make informed business decisions. All forms of accounting, including management accounting, are concerned with collecting and analysing financial, and other, information and then communicating this to those making decisions. This decision-making perspective of accounting provides the theme for the book and shapes the way that we deal with each topic.

For accounting information to be useful for decision making, the accountant must be clear about for whom the information is being prepared and for what purpose it will be used. In practice there are various groups of people (known as ‘user groups’) with an interest in a particular organisation, in the sense of needing to make decisions about that organisation. For the typical private-sector business, the most important of these groups of users of accounting information are shown in Figure 1.6. Each of these groups will have different needs.

This book is concerned with providing accounting information for only one of the groups identified – the managers. It is, however, a particularly important user group. Managers are responsible for running the business, and their decisions and actions play a vital role in determining its success. Planning for the future and exercising day-to-day control over a business involves a wide range of decisions being made. For example, managers may need to decide whether to:

• develop new products or services (as with a computer manufacturer developing a new range of computers);
• increase or decrease the price or quantity of existing products or services (as with a telecommunications business changing its mobile phone call and text charges);
• outsource activities carried out by the business to outside contractors (as with an airline outsourcing its ticketing operations)
increase or decrease the operating capacity of the business (as with a beef farming business reviewing the size of its herd); and/or
• change the methods of purchasing, production or distribution (as with a clothes retailer switching from local to overseas suppliers).

The accounting information provided should help in identifying and assessing the financial consequences of the kind of decisions listed above. In later chapters, we shall consider each of the types of decisions in the list and see how their financial consequences can be assessed.

## 会计代写|中级管理会计代写Intermediate Management Accounting代考|PROVIDING A SERVICE

One way of viewing management accounting is as a form of service. Management accountants provide a service by reporting information to their ‘clients’ – the managers. The quality of this service provided will be determined by the extent to which managers’ information needs have been met. In practice, this can be very difficult to assess. By adhering to certain principles, however, management accounting information is more likely to meet these needs and so improve the quality of management decisions.

Two leading professional bodies – the American Institute of Certified Public Accountants and the UK-based Chartered Institute of Management Accountants – have developed the Global Management Accounting Principles. These consist of four principles to be followed when determining the information that managers need. (See Reference 3 at the end of the chapter.) The four principles, which focus on four outcomes, are set out in Figure 1.7.
We shall now consider each of these principles.

• Influence. This principle asserts that communication provides insights, which can, in turn, influence management decisions. Communication is particularly important when developing and implementing business strategies and plans. To be effective, strategic planning relies on conversảtions occuming between those involved in the processs. Through such conversations, a better understanding can be achieved of the likely impact of key decisions and of where improvements may be needed. By feeding information into these conversations, management accounting can exert a powerful influence over the decisions made and the ultimate outcomes. Conversations between the management accountant and those involved in the strategic planning process are also important in identifying the kind of information needed.

To exert maximum influence, managers should receive information that is customised to their needs. This means that it should be in a form suitable to their level of financial understanding. It also means that it should avoid dense, jargon-ridden prose and should exclude information that is of no great significance to the managers concerned.

## 会计代写|中级管理会计代写中间管理会计代考|提供服务

• 影响。这一原则认为，沟通可以提供见解，而见解反过来又可以影响管理决策。在制定和实施商业战略和计划时，沟通尤为重要。为了有效，战略规划依赖于参与过程的各方之间的对话。通过这样的对话，可以更好地了解关键决定可能产生的影响以及可能需要改进的地方。通过向这些对话提供信息，管理会计可以对决策和最终结果施加强大的影响。管理会计与战略规划过程中所涉及的人员之间的对话对于确定所需的信息种类也很重要为了发挥最大的影响力，管理人员应该接收根据他们的需要定制的信息。这意味着它的形式应该适合他们的财务理解水平。这也意味着它应该避免密集的，行话泛滥的散文，应该排除那些对有关管理者没有重大意义的信息

## 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。

## 会计代写|中级管理会计代写Intermediate Management Accounting代考|ACCT90012

statistics-lab™ 为您的留学生涯保驾护航 在代写中级管理会计Intermediate Management Accounting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。我们的专家在代写中级管理会计Intermediate Management Accounting代写方面经验极为丰富，各种代写中级管理会计Intermediate Management Accounting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

## 会计代写|中级管理会计代写Intermediate Management Accounting代考|HOW ARE BUSINESSES ORGANISED

Nearly all businesses that involve more than a few owners and/or employees are set up as limited companies. Finance will come from the owners (shareholders) both in the form of a direct cash investment to buy shares (in the ownership of the business) and through the shareholders allowing past profits, which belong to them, to be reinvested in the business. Finance will also come from lenders (banks, for example) as well as through suppliers providing goods and services on credit.

In larger limited companies, the owners (shareholders) tend not to be involved in the daily running of the business; instead they appoint a board of directors to manage the business on their behalf. The board is charged with three major tasks:
setting the overall direction for the business;
monitoring and controlling the activities of the business; and
communicating with shareholders and others connected with the business.
Each board has a chairman who is elected by the directors. The chairman is responsible for the smooth running of the board. In addition, each board has a chief executive officer (CEO) who leads the team that is responsible for running the business on a day-to-day basis. Occasionally, the roles of chairman and CEO are combined, although it is usually considered to be good practice to separate them. It prevents a single individual having excessive power.

The board of directors represents the most senior level of management. Below this level, managers are employed, with each manager being given responsibility for a particular part of the business’s operations.

Departments based around functions permit greater specialisation, which, in turn, can promote greater efficiency. The departmental structure, however, can become too rigid. This can lead to poor communication between departments and, perhaps, a lack of responsiveness to changing market conditions.

The structure set out in Figure $1.1$ may be adapted according to the particular needs of the business. Where, for example, a business has few employees, the human resources function may not form a separate department but rather form part of another department. Where business operations are specialised, separate departments may be created to deal with each specialist area. Example $1.1$ illustrates how Figure $1.1$ may be modified to meet the needs of a particular business.

## 会计代写|中级管理会计代写Intermediate Management Accounting代考|THE CHANGING BUSINESS LANDSCAPE

Factors such as increased global competition and advances in technology, mentioned earlier, have had a tremendous impact on the kind of businesses that survive and prosper. They have also had an impact on the kind of business structures and processes adopted. Examples of the changes that have occurred in many countries in recent years, including the UK, are:

• The growth of the service sector. This includes businesses such as financial services, communications, tourism, transportation, consultancy, leisure and so on. This growth of the service sector has been matched by the decline of the manufacturing and extractive (for example, coal mining) sectors.
• The emergence of new industries. This includes science-based industries such as genetic engineering and biotechnology.
• The growth of e-commerce. Consumers are increasingly drawn to buying a wide range of goods including groceries, books, music and computers online. Businesses also use e-commerce to order supplies, monitor deliveries and distribute products.
• Automated manufacturing. Many manufacturing processes are now fully automated and computers are used to control the production process.Lean manufacturing. This involves a systematic attempt to identify and eliminate waste, surplus production, delays, defects and so on in the production process.
• Greater product innovation. There is much greater pressure to produce new, innovative products. The effect has been to increase the range of products available and to shorten the life cycles of many products.
• The growth of outsourcing Activities and processes required by a business, but which a subcontractor can do better, are increasingly outsourced.
• Faster response times. There is increasing pressure on businesses to develop products more quickly, to produce products more quickly and to deliver products more quickly.
• These changes have presented huge challenges for the management accountant. New techniques have been developed and existing techniques adapted to try to ensure that management accounting retains its relevance. These issues will be considered in more detail as we progress through the book.

## 会计代写|中级管理会计代写中级管理会计代考|企业如何组织

• 服务业增长。这包括金融服务、通讯、旅游、交通、咨询、休闲等行业。与服务业的增长相对应的是制造业和采掘业(如煤矿开采)的衰退。新产业的出现。这包括以科学为基础的产业，如基因工程和生物技术。
• 电子商务增长。消费者越来越倾向于在网上购买杂货、书籍、音乐和电脑等各种商品。企业还使用电子商务来订购物资、监控发货和分销产品。
• 自动化制造。现在许多生产过程都是完全自动化的，计算机被用来控制生产过程。精益生产。这涉及到在生产过程中有系统地识别和消除浪费、过剩生产、延误、缺陷等。
• 生产新的创新产品的压力要大得多。其结果是增加了可用产品的范围，缩短了许多产品的生命周期。外包的增长企业所需的活动和过程，但分包商可以做得更好，越来越多地外包出去。
• 更快的响应时间。企业面临越来越大的压力，需要更快地开发产品，更快地生产产品，更快地交付产品。这些变化给管理会计提出了巨大的挑战。开发了新的技术，并对现有技术进行了调整，以确保管理会计保持其相关性。

## 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。

## 会计代写|初级管理会计代写Principles of Management Accounting代考|ACCT7104

statistics-lab™ 为您的留学生涯保驾护航 在代写初级管理会计Principles of Management Accounting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。我们的专家在代写初级管理会计Principles of Management Accounting代写方面经验极为丰富，各种代写初级管理会计Principles of Management Accounting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

## 会计代写|初级管理会计代写Principles of Management Accounting代考|management accounting’s most important challenge

Over time, the emphasis placed on the themes in Exhibit $1.4$ will change and new themes will emerge. This is because any change requires reaction and more action. In many sectors of the economy, the use of new technologies in the recent past has made possible the shift from selling mass-market, generic products and services to operating in more profitable niches with specialpurpose products sold in very small volumes. Such changes mean that management accountants have to ensure that they remain useful to the organisations they serve and that they alter their management practices where required (Bhimani 2020). The global economic crisis, which began in 2008, altered the role of finance specialists in the eyes of governmental regulators and financial markets. Calls for more accountability and transparency were made and enterprises had to respond positively to these demands. Today, demands are expressed that enterprises should move towards models of functioning that are more sustainable and which show evidence of higher standards of corporate responsibility. Compliance requirements naturally need to be balanced with the need for high organisational performance and maintaining global competitiveness and so organisations have to balance the various demands placed on them. Changes in markets, societal structures and norms and in the general business environment in which firms operate have always been of concern to practicing management accountants. Ongoing global and business environment changes will continue to impact management accounting practices.

## 会计代写|初级管理会计代写Principles of Management Accounting代考|Ethical guidelines

Professional accounting organisations representing management accountants exist in many countries. For example, CIMA in the UK provides a programme leading to membership of the institute. Membership signals that the holder has passed the admission criteria and demonstrated the competence of technical knowledge required by the CIMA to become a chartered management accountant. To become a CIMA member, students complete examinations on operational, management and strategic aspects of the field and must show professional competence in management accounting (see www.cimaglobal.com for more information).

Management accounting topics are also covered by several other professional bodies. The syllabus for the examinations of the Association of Chartered Certified Accountants (ACCA) includes a variety of examinations, practical work experience and knowledge of ethics requirements (see www.accaglobal.com). Other accounting bodies include the Institute of Chartered Accountants in England and Wales (ICAEW) (see www.icaew.co.uk) and the Institute for Chartered Accountants of Scotland (ICAS) (see www.icas.org.uk). These institutes have requirements that cover proficiency in general management topics as well as professional accounting and ethics topics.

Professional accounting organisations play an important role in promoting a high standard of ethics. CIMA has issued a code of ethics for its members. Exhibit $1.6$ presents a summary of CIMA’s ‘fundamental principles’.

.

## 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。

## 会计代写|初级管理会计代写Principles of Management Accounting代考|ACCT7102

statistics-lab™ 为您的留学生涯保驾护航 在代写初级管理会计Principles of Management Accounting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。我们的专家在代写初级管理会计Principles of Management Accounting代写方面经验极为丰富，各种代写初级管理会计Principles of Management Accounting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

## 会计代写|初级管理会计代写Principles of Management Accounting代考|Scorekeeping, attention-directing and problem-solving functions

Management accountants can be considered to perform three important functions in their reporting: scorekeeping, attention directing and problem solving. Scorekeeping refers to the accumulation of data and the reporting of reliable results to all levels of management. Examples are the recording of sales, purchases of materials, and payroll payments. Attention directing attempts to make visible both opportunities and problems on which managers need to focus. Examples are highlighting rapidly growing markets where the company may be underfunding its investment and highlighting products with higher-than-expected rework rates or customer-return rates. Attention directing should focus on all opportunities to add value to an organisation and not just on cost-reduction opportunities. Problem solving refers to the comparative analysis undertaken to identify the best alternatives in relation to the organisation’s goals. An example is comparing the financial advantages of leasing a fleet of vehicles rather than owning those vehicles.

Accountants serving the scorekeeping function accumulate data and report the results to all levels of management. Accountants serving this function are responsible for the reliability of the reported information. The scorekeeping function in many organisations requires processing numerous data items (millions of items in some cases). Computerised information systems are used by these organisations to automate scorekeeping tasks so that they are executed as flawlessly as possible.

Many organisations which automate scorekeeping have management accountants concentrating solely on the attention-directing or problem-solving function. However, as we have suggested, the adoption of technologies such as $\mathrm{AI}$ and the cloud is disrupting traditional roles and functions and many new titles have emerged, which require dealing with management accounting information. The titles of information roles differ. Positions may exist for ‘cost systems and financial reporting’, ‘planning and analysis’, ‘forecasting’ and ‘manufacturing analysis and support’. Yoplait, the French yogurt-making company, has staff positions for ‘operations analysis’, ‘budget analysis and reporting’ and ‘marketing and sales analysis’.

## 会计代写|初级管理会计代写Principles of Management Accounting代考|Costs, benefits and context

This book regards management accounting as encompassing the assessment of costs, benefits and context. That is, one criterion for choosing among alternative accounting systems is how well they are perceived to help achieve organisational goals in relation to the costs of those systems and the context within which they are to operate. Many studies indicate that the functioning of management accounting systems is affected as much by behavioural and social factors as by technical ones. This book identifies many changes in the field. However, it is clear that in many instances, resistance to management accounting change is caused by behavioural attitudes rather than technical flaws in the accounting innowations. At times, resistance to management accounting change can be associated with incompatibilities between the new system and the norms or takenfor-granted ways of thinking within the organisation.

As customers, managers buy a more elaborate management accounting system when its perceived expected benefits exceed its perceived expected costs and only after due consideration of contextual factors is undertaken. Although the benefits may take many forms, managers take decisions that seek to help better attain goals (both personal and organisational). Consider the installation of a company’s first budgeting system. Previously, the company had probably been using some historical record keeping and little formal planning. A major benefit of installing the budgcting systcm is that it sompels managcrs to plan mors formally. Thcy may maks a differcnt, more profitable set of decisions than would have been done by using only a historical system. Thus, in this instance, the expected benefits exceed the expected costs of the new budgeting system. These costs include investments in computer hardware and software, in training people, and in ongoing operating costs of the system. Naturally, the enhanced formality of the new system must be compatible with the values and inclinations of its intended users.

The measurement of costs and benefits of developing and using information are seldom easy. This is because we cannot assume rational-economic behaviour on the part of managers and accountants. In other words, accounting systems do not exhibit the same characteristics wherever they exist. There are differences across organisations in the patterns and processes of adoption and routinisation of accounting systems as well as in how extensively accounting information is used by managers. An understanding of the contexts in which accounting is used and the processes through which accounting systems influence actions is always useful to accountants. Some organisations such as Amazon, Capital One, Barclays Bank and Yahoo are ‘competing on analytics’. These analytical firms consider both qualitative and quantitative information. Clearly, organisational context is important to consider, but so too is country context in the design of management accounting systems and in understanding differences in the ways in which accounting gets used. Harrison and McKinnon (2007, p. 114) have observed that: ‘Individuals crossing national and cultural borders to work require an understanding of the differences in management control practices they are likely to encounter, and sensitivity to the cultural underpinnings of those practices’. Thus a better understanding of context can help you decide whether differences in the use of accounting information are rooted in enduring national cultural forces, or whether industry specific or other factors affect the reliance on financial information in organisational decision making.

Consider also the fact that some organisations will face important barriers in implementing new accounting systems whereas others will not. Perhaps this is due to differences in enthusiasm by senior managers towards altering accounting systems. Managers differ in how they view the usefulness of accounting information. Insights into the context within which and the process by which accounting information is used can tell us much about differences in the choice and use of accounting systems in organisations. In this book, you will be encouraged to think about both the economic aspects of management accounting as well as factors relating to the organisational and social context of accounting systems. The cost-benefit-context approach provides a solid point for analysing accounting issues. Assessing context and process issues can be useful in choosing and designing accounting information systems and in considering how they will be used.

.

## 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。

## 会计代写|初级管理会计代写Principles of Management Accounting代考|ACCT7101

statistics-lab™ 为您的留学生涯保驾护航 在代写初级管理会计Principles of Management Accounting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。我们的专家在代写初级管理会计Principles of Management Accounting代写方面经验极为丰富，各种代写初级管理会计Principles of Management Accounting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

## 会计代写|初级管理会计代写Principles of Management Accounting代考|Strategic decisions and management accounting

Many organisations seek to be more expansionist, entrepreneurial, risk taking and innovative as a conscious move away from inwardly focused management techniques. Entirely new markets are emerging for products and services and avant-garde innovative firms are reaping significant benefits through innovative management approaches and a growing focus on action through focused strategic information.

A company’s strategy specifies how the organisation matches its own capabilities with the opportunities in the marketplace. In other words, strategy describes how an organisation creates value for its customers while distinguishing itself from its competitors. A business might be thought to follow one of two broad strategies (we consider this further in Chapter 20). Some companies, such as Easyjet and Carrefour, follow a cost leadership strategy. They profit and grow by providing quality products or services at low prices and by judiciously managing their costs. Other companies, such as Apple and Bang \& Olufsen, follow a product differentiation strategy. They generate profits and growth by offering differentiated or unique products or services that appeal to their customers and are often priced higher than the less-popular products or services of their competitors.

Deciding between these strategies is a critical part of what managers do. Management accountants’ work closely with managers in various departments to formulate strategies by providing information about the sources of competitive advantage, such as (1) the company’s cost, productivity, or efficiency advantage relative to competitors; or (2) the premium prices a company can charge over its costs from distinctive product or service features.

Management accounting information helps managers focus on strategic issues by answering questions such as the following:

• Who are our most important customers, and what critical capability do we have to be competitive and deliver value to our customers? After Amazon’s success selling books online, management accountants at Waterstones, a British book retailer, outlined the costs and benefits of several alternative approaches for enhancing the company’s information technology infrastructure and developing the capability to sell books online. A similar cost-benefit analysis led Toyota to build flexible computer-integrated manufacturing plants that enable it to use the same equipment efficiently to produce a variety of cars in response to changing customer tastes.
• What is the bargaining power of our customers? Kellogg Company, for example, uses the reputation of its brand to reduce the bargaining power of its customers and charge higher prices for its cereals.
• What is the bargaining power of our suppliers? Management accountants at Dell Computers consider the significant bargaining power of Intel, its supplier of microprocessors, and Microsoft, its supplier of operating system software, when considering how much it must pay to acquire these products.
• What substitute products exist in the marketplace, and how do they differ from our product in terms of features, price, cost and quality? Hewlett-Packard, for example, designs, costs and prices new printers after comparing the functionality and quality of its printers to other printers available in the marketplace.
• Will adequate cash be available to fund the strategy, or will additional funds need to be raised? Procter \& Gamble, for example, issued new debt and equity to fund its strategic acquisition of Gillette, a maker of shaving products.

## 会计代写|初级管理会计代写Principles of Management Accounting代考|The major purposes of accounting systems

The accounting system is among the most significant quantitative information systems in almost every organisation. This system aims to provide information for five broad purposes:

• Purpose 1: Formulating overall strategies and long-range plans. This includes new product development and investment in both tangible (equipment) and intangible (brands, patents or people) assets, and frequently involves special-purpose reports. Increasingly, many organisations seek market-, supplier- and customer-based information for determining longer-term strategic action.
• Purpose 2: Resource allocation decisions such as product and customer emphasis and pricing. This frequently involves reports on the profitability of products or services, brand categories, customers, distribution channels, and so on.
• Purpose 3: Cost planning and cost control of operations and activities. This involves reports on revenues, costs, assets, and the liabilities of divisions, plants and other areas of responsibility.
• Purpose 4: Performance measurement and evaluation of people. This includes comparisons of actual results with planned results. It can be based on financial or non-financial measures.
• Purpose 5: Meeting external regulatory and legal reporting requirements where they exist. Regulations and statutes often prescribe the accounting methods to be followed. Financial hold or sell company shares. These reports ordinarily attempt to adhere to authoritatively detcrmined guidelincs and procedures which cxist in many European countrics.

Each of the purposes stated here may require a different presentation or reporting method. Accountants combine or adjust the method and data to answer the questions from particular internal or external users.

The nature of management-oriented accounting information alters in line with changes in the business environment. Over the past decade, many enterprises have experienced a shift from a traditional monitoring and control perspective to a more business- and support-oriented focus. This requires a broad-based understanding of the business, with management accountants working alongside managers, as partners within cross-functional teams rather than in a separate accounting function. Some present-day key influences on changes in accounting information include:

• an increased pace of change in the business world
• shorter product life cycles and competitive advantages
• a requirement for more strategic action by management
• digital transformation of companies and new business models
• the outsourcing of non-value-added but necessary services
• increased uncertainty and the explicit recognition of risk

## 会计代写|初级管理会计代写管理会计原则代考|会计制度的主要目的

• 目的一:制定总体战略和长远规划。这包括新产品开发和有形(设备)和无形(品牌、专利或人员)资产的投资，并经常涉及特殊目的的报告。越来越多的组织寻求基于市场、供应商和客户的信息，以确定长期战略行动。用途二:资源分配决策，如产品和客户的重点和定价。这通常涉及关于产品或服务的盈利能力、品牌类别、客户、分销渠道等的报告。目的三:成本计划和经营活动的成本控制。这包括收入、成本、资产、部门、工厂和其他责任领域的负债报告。目的四:对人员的绩效进行测量和评估。这包括实际结果与计划结果的比较。它可以基于财务或非财务措施。用途五:满足存在的外部监管和法律报告要求。法规和法规通常规定了应遵循的会计方法。金融持有或出售公司股票。这些报告通常试图遵守权威确定的指导方针和程序，这些指导方针和程序在许多欧洲国家都有这里所述的每个目的可能需要不同的表示或报告方法。会计人员结合或调整方法和数据，以回答来自特定内部或外部用户的问题以管理为导向的会计信息的性质随着商业环境的变化而变化。在过去的十年中，许多企业经历了从传统的监视和控制视角到更面向业务和支持的焦点的转变。这需要对业务有广泛的了解，管理会计师与经理一起工作，作为跨职能团队的合作伙伴，而不是单独的会计职能。当前对会计信息变化的一些关键影响包括:
• 商业世界的变化速度加快
• 产品生命周期和竞争优势缩短
• 要求管理层采取更多的战略行动
• 公司数字化转型和新的商业模式
• 外包非增值但必要的服务
• 增加了不确定性和明确的风险认识

## 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。

## 数学代写|凸优化作业代写Convex Optimization代考|MATH3204

statistics-lab™ 为您的留学生涯保驾护航 在代写凸优化Convex Optimization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。我们的专家在代写凸优化Convex Optimization代写方面经验极为丰富，各种代写凸优化Convex Optimization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

## 数学代写|凸优化作业代写Convex Optimization代考|Bounds for the Pareto Frontier

Let us recall that a class of Lipschitz objective functions $F\left(L_k\right)$ is considered, i.e., $\mathbf{f}(x)=\left(f_1(x), f_2(x)\right)^T$, and $f_k(x) \in F\left(L_k\right)$ if
$$\left|f_k(x)-f_k(t)\right| \leq L_k \cdot|x-t|, k=1,2,$$
for $x \in \mathbf{A}, t \in \mathbf{A}, L_k>0, k=1,2$, and $\mathbf{A}$ is supposed to be a bounded closed interval.

The availability of relatively simply computable lower bounds enables a theoretical assessment of the quality of a discrete representation of the Pareto front for bi-objective Lipschitz optimization. For the different Pareto front approximation metrics we refer to $[42,60,266,267]$.

Let $\mathbf{Y}n=\left{\mathbf{y}_1, \ldots, \mathbf{y}_n\right}$ be the set of objective vectors computed at the points $x_i \in \mathbf{A}=[a, b], i=1, \ldots, n, \mathbf{X}_n=\left{x_1, \ldots, x_n\right}$, i.e., $\mathbf{y}_i=\mathbf{f}\left(x_i\right), i=1, \ldots, n$. It follows from (6.15) that the functions $g_k(x), k=1,2$, define the lower bounds for $f_k(x),[a \leq x \leq b]$ : $$\begin{array}{r} g_k(x)=\max \left(y{o i}^k-L_k\left(x-x_{o i}\right), y_{o i+1}^k-L_k\left(x_{o i+1}-x\right)\right), \ x_{o i} \leq x \leq x_{o i+1}, i=1, \ldots, n-1, \end{array}$$
where $x_{o i}, i=1, \ldots, n$, denote the increasingly ordered points $x_i$, and $\mathbf{y}{o i}=$ $\left(y{o i}^1, y_{o i}^2\right)^T$ denote the respective values of the objective functions.
To simplify the formulae below, let us assume that
$$L_k=1, k=1,2 .$$
The assumption above, which can also be written in the form $f_k(x) \in F(1)$, is made without loss of generality since it can be satisfied by selecting appropriate scales of values of the objective functions.
Definition 6.1 The Pareto front of the bi-objective problem
$$\min {x{o i} \leq x \leq x_{o i+1}} \mathbf{g}(x), \mathbf{g}(x)=\left(g_1(x), g_2(x)\right)^T,$$
is called a local Lipschitz lower bound for $\mathbf{P}(\mathbf{f})O$, and it is denoted as $\mathbf{V}_i=$ $\mathbf{V}\left(\mathbf{y}{o j}, x_{o j}, j=i, i+1\right)$. The weekly Pareto optimal solutions of $\bigcup_{i=1}^{n-1} \mathbf{V}_i$ constitute the Lipschitz lower bound for $\mathbf{P}(\mathbf{f})_O$ which is denoted as $\mathbf{V}\left(\mathbf{Y}_n, \mathbf{X}_n\right.$ ).

Definition 6.2 The subset of $\bigcup_{i=1}^n\left{\mathbf{z}: \mathbf{z} \in \mathbb{R}^2, \mathbf{z} \geq \mathbf{y}_i\right}$, which consists of weakly Pareto optimal solutions, is called an upper bound for $\mathbf{P}(\mathbf{f})_O$ and is denoted by $\mathbf{U}\left(\mathbf{Y}_n\right)$

## 数学代写|凸优化作业代写Convex Optimization代考|Properties of Lipschitz Bounds

To simplify the formulas below, let us consider the bounds for $\mathbf{f}(t), 0 \leq t \leq v$, and denote $y_1=f_1(0), y_2=f_1(v), z_1=f_2(0), z_2=f_2(v)$. The proved properties can be easily generalized to an arbitrary interval $x_{o i} \leq x \leq x_{o i+1}$ by re-scaling of variables. Assume that $\mathbf{f}(0)$ and $\mathbf{f}(v)$ do not dominate each other. The assumption of mutual non-dominance, without loss of generality, is specified as $z_2 \leq z_1, y_1 \leq y_2$. An illustration of the lower bounds for both objective functions and of $\mathbf{V}(\mathbf{f}(0), \mathbf{f}(v), 0, v)$ is presented in Figure 6.1, where the same data is used for the computations.

Definition 6.3 The maximum distance between $\mathbf{V}(\mathbf{f}(0), \mathbf{f}(v), 0, v)$ and ${\mathbf{f}(0), \mathbf{f}(v)}$ is called tolerance of the lower Lipschitz bound and it is denoted by

$$\begin{array}{r} \Delta(\mathbf{f}(0), \mathbf{f}(v), 0, v)= \ \max \left(\min {\mathbf{w} \in \mathbf{V}(\mathbf{f}(0), \mathbf{f}(v), 0, v)}|\mathbf{w}-\mathbf{f}(0)|, \min {\mathbf{w} \in \mathbf{V}(\mathbf{f}(0), \mathbf{f}(v), 0, v)}|\mathbf{w}-\mathbf{f}(v)|\right) . \end{array}$$
Lemma 6.2 The error of approximation of $\mathbf{P}(\mathbf{f})_O$ by the line segment connecting $\mathbf{f}(0)$ and $\mathbf{f}(v)$ is bounded by $\Delta(\mathbf{f}(0), \mathbf{f}(v), 0, v)$.

Proof The lower bounds for both objective functions in the new variables are defined by the following formulae:
$$\begin{array}{r} g_1(t)=y_1-t, 0 \leq t \leq t_1, g_1(t)=y_2-(v-t), t_1 \leq t \leq v, \ g_2(t)=z_1-t, 0 \leq t \leq t_2, g_2(t)=z_2-(v-t), t_2 \leq t \leq v, \ t_1=\frac{v}{2}+\frac{y_1-y_2}{2}, t_2=\frac{v}{2}+\frac{z_1-z_2}{2} . \end{array}$$
The Pareto front for the problem
$$\min _{0 \leq t \leq v} \mathbf{g}(t),$$
defines the lower Lipschitz bound for $\mathbf{P}(\mathbf{f})_O$, and is coincident with the line segment in $\mathbb{R}^2$ that connects the points $\mathbf{p}_1$ and $\mathbf{p}_2$ where
$$\mathbf{p}_1=\left(\begin{array}{l} y_1-t_1 \ z_1-t_1 \end{array}\right), \quad \mathbf{p}_2=\left(\begin{array}{c} y_2-\left(v-t_2\right) \ z_2-\left(v-t_2\right) \end{array}\right) .$$

## 数学代写|凸优化作业代写凸优化代考|帕累托边界的边界

$$\left|f_k(x)-f_k(t)\right| \leq L_k \cdot|x-t|, k=1,2,$$

## 数学代写|凸优化作业代写凸优化代考| Lipschitz边界的性质

. .凸优化代考|

6.3 $\mathbf{V}(\mathbf{f}(0), \mathbf{f}(v), 0, v)$和${\mathbf{f}(0), \mathbf{f}(v)}$之间的最大距离称为Lipschitz下界公差，用表示

$$\begin{array}{r} \Delta(\mathbf{f}(0), \mathbf{f}(v), 0, v)= \ \max \left(\min {\mathbf{w} \in \mathbf{V}(\mathbf{f}(0), \mathbf{f}(v), 0, v)}|\mathbf{w}-\mathbf{f}(0)|, \min {\mathbf{w} \in \mathbf{V}(\mathbf{f}(0), \mathbf{f}(v), 0, v)}|\mathbf{w}-\mathbf{f}(v)|\right) . \end{array}$$引理6.2近似的误差 $\mathbf{P}(\mathbf{f})_O$ 通过线段连接 $\mathbf{f}(0)$ 和 $\mathbf{f}(v)$ 受制于 $\Delta(\mathbf{f}(0), \mathbf{f}(v), 0, v)$.

$$\begin{array}{r} g_1(t)=y_1-t, 0 \leq t \leq t_1, g_1(t)=y_2-(v-t), t_1 \leq t \leq v, \ g_2(t)=z_1-t, 0 \leq t \leq t_2, g_2(t)=z_2-(v-t), t_2 \leq t \leq v, \ t_1=\frac{v}{2}+\frac{y_1-y_2}{2}, t_2=\frac{v}{2}+\frac{z_1-z_2}{2} . \end{array}$$

$$\min _{0 \leq t \leq v} \mathbf{g}(t),$$

$$\mathbf{p}_1=\left(\begin{array}{l} y_1-t_1 \ z_1-t_1 \end{array}\right), \quad \mathbf{p}_2=\left(\begin{array}{c} y_2-\left(v-t_2\right) \ z_2-\left(v-t_2\right) \end{array}\right) .$$

## 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。

## 数学代写|凸优化作业代写Convex Optimization代考|ELEC4631

statistics-lab™ 为您的留学生涯保驾护航 在代写凸优化Convex Optimization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。我们的专家在代写凸优化Convex Optimization代写方面经验极为丰富，各种代写凸优化Convex Optimization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

## 数学代写|凸优化作业代写Convex Optimization代考|Optimal Sequential Algorithm

A user of optimization algorithms is inclined, as a rule, to believe that a passive algorithm will always be outperformed by an adaptive algorithm. Although it is normally true in applications, the theory of optimal algorithms shows that generally it is not true in the worst-case analysis [217]. As shown in [210], adaptation does not help in the worst-case Lipschitz single-objective optimization. A similar statement in the case of numerical integration is proved in [212]. Similar arguments are also valid in the case of multi-objective optimization. For example, in the case where $f_k\left(\mathbf{x}_i\right)=0, i=1, \ldots, n, k=1, \ldots, m$, the selection of the points $\mathbf{x}_i \in \mathbf{A}, i=1, \ldots, n$, different from the centers of balls of the optimal covering of A, obviously implies the error larger than the radius of balls of the optimal cover $r$. Since the worst-case analysis is not always best suitable to real world problems, it seems reasonable to slightly enhance the concept of optimality. The term “the best algorithm” has been introduced in [211] to name the sequential algorithm which in worst-case generates the same set of $\mathbf{x}_i, i=1, \ldots, n$, as the worstcase passive algorithm, however, performs better in other cases. If the available information on the considered problem at a current optimization step deviates from the worst-case information, that deviation is taken into account in an optimal way. The next step is performed optimally with respect to the less adversarial conditions where the worst-case conditions are reelaxed by the acquired favorable information. In terms of the game theory we are interested in the strategy seeking the extra winning in the situation where an adversary deviates from his optimal strategy. The best sequential algorithms for Lipschitz optimization and integration are constructed in [211] and [212] correspondingly. However, the implementation of the best sequential algorithm of global Lipschitz optimization is very complicated, and, to our best knowledge, it has never been implemented. Nevertheless, theoretical investigation of the best sequential multi-objective optimization algorithm for the functional class (6.1) would be interesting, at least to acquire recommendations for the development of heuristics inspired by properties of the best algorithm.

## 数学代写|凸优化作业代写Convex Optimization代考|One-Step Optimality for Bi-objective Problems

The problem of one-dimensional bi-objective optimization
$$\min _{x \in \mathbf{A}} \mathbf{f}(x), \mathbf{f}(x)=\left(f_1(x), f_2(x)\right)^T,$$
is considered, where the feasible region is a bounded interval
$$\mathbf{A}={x: a \leq x \leq b}$$
Let us recall that theoretically the solution to problem (6.14) consists of two sets: $\mathbf{P}(\mathbf{f})_O$, the Pareto optimal solutions in the space of objectives (Pareto front), and $\mathbf{P}(\mathbf{f})_D$, the set of Pareto optimal decisions in $\mathbf{A}$. We are interested in the efficient computation of a discrete representation of $\mathbf{P}(\mathbf{f})_O$ for the non-convex objective functions.

The selection of a concept of the efficiency of computations should be preceded by the definition of a class of targeted problems. Since the class of Lipschitz continuous functions is one of the most widely used models for single-objective non-convex optimization $[87,168,196]$ this model is also accepted to substantiate the construction of algorithms for the considered problem.

The worst-case optimality is a standard concept in the analysis of the algorithms’ optimality with respect to a deterministic model of problems/data [7]. The problem of construction of the worst-case optimal algorithm for a discrete representation of Pareto optimal solution sets for the problems with Lipschitz continuous objectives is considered in Sections 6.1.3 and 6.1.4. The optimal passive algorithm, as shown there, can be reduced to covering the feasible region by the balls of the minimum radius, and the optimal adaptive (sequential) algorithm is coincident with the optimal passive algorithm. For the problems where the worst-case assumptions are relevant, the computation of objectives at the points uniformly distributed in the feasible region can be favorable. That conclusion is interesting from the theoretical point of view, however, in the majority of real world problems the worstcase is not very likely. The worst-case optimal search can be interpreted as an antagonistic game in terms of the game theory: for the current point, selected by the search algorithm, an adversary defines the most inappropriate values of objective functions [35, 47]. The most inappropriate (non-informative) for optimizer values of the objective function are equal for all the points selected. When an ordinary optimization problem is considered, the assumption about a rational adversary, selecting the most inappropriate function values at all optimization steps, seems not very realistic. We assume now that the adversary is semi-rational, i.e., the strategy is optimal only at some optimization steps, but not during the entire optimization process. Such an assumption substantiates the investigation of a sequential one-step optimal algorithm.

.

## 数学代写|凸优化作业代写凸优化代考|One-Step Optimality for Bi-objective Problems

.凸优化

$$\min _{x \in \mathbf{A}} \mathbf{f}(x), \mathbf{f}(x)=\left(f_1(x), f_2(x)\right)^T,$$
，其中可行区域是有界区间
$$\mathbf{A}={x: a \leq x \leq b}$$

## 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。

## 数学代写|凸优化作业代写Convex Optimization代考|CPD131

statistics-lab™ 为您的留学生涯保驾护航 在代写凸优化Convex Optimization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。我们的专家在代写凸优化Convex Optimization代写方面经验极为丰富，各种代写凸优化Convex Optimization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

## 数学代写|凸优化作业代写Convex Optimization代考|Mathematical Model

A class of Lipschitz objective functions is considered, i.e., $f_k(\mathbf{x}) \in F\left(L_k\right)$ iff
$$\left|f_k(\mathbf{x})-f_k(\mathbf{z})\right| \leq L_k \cdot|\mathbf{x}-\mathbf{z}|_D,$$
where $\mathbf{x} \in \mathbf{A}, \mathbf{z} \in \mathbf{A}, \mathbf{L}=\left(L_1, \ldots, L_m\right)^T, L_k>0, k=1, \ldots, m$, and $|\cdot|_D$ is the Euclidean norm in the decision space $\mathbb{R}^d$ where the subscript $D$ indicates the decision space (the alternative subscript $O$ indicates the space of objectives/solutions). The feasible region $\mathbf{A}$ is supposed to be compact. To simplify the notation below, let us change the scales of function values so that
$$L_k=1 / \sqrt{m}, k=1, \ldots, m .$$
An algorithm consists of two sub-algorithms. The first sub-algorithm selects the points $\mathbf{x}_i \in \mathbf{A}$, and computes $\mathbf{f}\left(\mathbf{x}_i\right), i=1, \ldots, n$. The second sub-algorithm computes an approximation of $\mathbf{P}(\mathbf{f})_O$ using the output of the first sub-algorithm. The number of points $n$ is supposed to be chosen in advance. Such an assumption seems reasonable in the case of expensive objectives where the lengthy computation of a single value of the vector of objectives essentially restricts the permissible value of $n$. To exploit rationally an essentially restricted resource it is important to know its limit in advance. For example, in some heuristic single-objective global optimization algorithms some percentage of the admissible number of computations $n$, which is defined in advance, is assigned for global search, and the remaining computations are supposed for a local improvement of the found candidate solution.
Two versions of the first sub-algorithm are considered. The passive (nonadaptive) algorithm selects $\mathbf{x}_i, i=1, \ldots, n$, only taking into account information on the problem, i.e., on the class of objective functions and on (n, $\mathbf{A})$. The sequential (adaptive) algorithm consists of the algorithmic steps which compute $\mathbf{x}_i$ taking into account the points and function values computed at the previous steps:
\begin{aligned} \mathbf{x}_1 &=\mathbf{x}_1(n, \mathbf{A}), \ \mathbf{y}_i &=\mathbf{f}\left(\mathbf{x}_i\right), \ \mathbf{x}_i &=\mathbf{x}_i\left(n, \mathbf{A}, \mathbf{x}_j, \mathbf{y}_j, j=1, \ldots, i-1\right), i=2, \ldots, n . \end{aligned}
The output of the first sub-algorithm is $\left(\mathbf{X}_n, \mathbf{Y}_n\right)$, where $\mathbf{X}_n=\left(\mathbf{x}_1, \ldots, \mathbf{x}_n\right)$, and $\mathbf{Y}_n=\left(\mathbf{y}_1, \ldots, \mathbf{y}_n\right)$. The second sub-algorithm computes an approximation of $\mathbf{P}(\mathbf{f})_O$ using $\left(\mathbf{X}_n, \mathbf{Y}_n\right)$ as an input.

## 数学代写|凸优化作业代写Convex Optimization代考|Optimal Passive Algorithm

Assume that a passive algorithm has computed $\mathbf{X}_n=\left(\mathbf{x}_1, \ldots, \mathbf{x}_n\right)$ at the first stage. The worst-case error, in this case, is equal to $r\left(\mathbf{X}_n\right)$, as shown in Lemma 6.1. We are interested in the selection of points $\mathbf{x}_1, \ldots, \mathbf{x}_n$, minimizing $r\left(\mathbf{X}_n\right)$, and in the worstcase functions.

Theorem 6.1 The worst-case optimal multi-objective optimization algorithm selects the points $\mathbf{x}1, \ldots, \mathbf{x}_n$, at the centers of $n$ balls of minimal radius which cover the feasible region $\mathbf{A}$. The minimum worst-case error is equal to the radius $r$ of the balls of the optimal cover. The worst-case objective functions $\varphi(\cdot)$ and $\mathbf{g}(\cdot)$ are defined by the following formulae: \begin{aligned} &\varphi_k(\mathbf{x})=c_k, \mathbf{x} \in \mathbf{A}, k=1, \ldots, m, \ &g_k(\mathbf{x})=\max {1 \leq i \leq n} c_k-\left(\left|\mathbf{x}-\mathbf{x}i\right|_D\right), \mathbf{x} \in \mathbf{A}, k=1, \ldots, m, \end{aligned} where $c_k, k=1, \ldots, m$, are arbitrary constants. Proof The problem of minimization of $r\left(\mathbf{X}_n\right)$ $$r=\min {\mathbf{x}1, \ldots, \mathbf{x}_n, \mathbf{x}_i \in \mathbf{A}} r\left(\mathbf{X}_n\right)=\min {\mathbf{x}1, \ldots, \mathbf{x}_n, \mathbf{x}_i \in \mathbf{A}} \max {\mathbf{x} \in \mathbf{A}} \min {1 \leq i \leq n}\left|\mathbf{x}-\mathbf{x}_i\right|_D,$$ is equivalent to the problem of covering a feasible region with equal balls of the minimal radius. Therefore, the centers of balls of optimal covering define the points, where the values of the objective functions should be computed. Repeating the arguments of Lemma $6.1$ it is easy to check that \begin{aligned} &\max {\mathbf{y} \in \mathbf{P}(\varphi)O} \min {\mathbf{z} \in \widetilde{\mathbf{P}}(\varphi)O}|\mathbf{y}-\mathbf{z}|_O=r, \ &\max {\mathbf{y} \in \mathbf{P}(\mathbf{g})O} \min {\mathbf{z} \in \hat{\mathbf{P}}(\mathbf{g})_O}|\mathbf{y}-\mathbf{z}|_O-r . \end{aligned}

## 数学代写|凸优化作业代写凸优化代考|数学模型

$$\left|f_k(\mathbf{x})-f_k(\mathbf{z})\right| \leq L_k \cdot|\mathbf{x}-\mathbf{z}|_D,$$
，其中$\mathbf{x} \in \mathbf{A}, \mathbf{z} \in \mathbf{A}, \mathbf{L}=\left(L_1, \ldots, L_m\right)^T, L_k>0, k=1, \ldots, m$, $|\cdot|_D$是决策空间$\mathbb{R}^d$中的欧氏范数，其中下标$D$表示决策空间(备选下标$O$表示目标/解决方案空间)。可行域$\mathbf{A}$应该是紧的。为了简化下面的表示法，让我们改变函数值的尺度，使
$$L_k=1 / \sqrt{m}, k=1, \ldots, m .$$

\begin{aligned} \mathbf{x}_1 &=\mathbf{x}_1(n, \mathbf{A}), \ \mathbf{y}_i &=\mathbf{f}\left(\mathbf{x}_i\right), \ \mathbf{x}_i &=\mathbf{x}_i\left(n, \mathbf{A}, \mathbf{x}_j, \mathbf{y}_j, j=1, \ldots, i-1\right), i=2, \ldots, n . \end{aligned}

## 数学代写|凸优化作业代写凸优化代考|最优被动算法

.

$$\sigma_x=-\frac{M y}{I}$$

$$V=\frac{d M}{d x}=-\frac{d}{d x}\left(E I \frac{d^2 v}{d x^2}\right)$$

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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。