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assignmentutor-lab™ 为您的留学生涯保驾护航 在代写决策论Management Science Models for Decision Making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。我们的专家在代写决策论Management Science Models for Decision Making代写方面经验极为丰富，各种代写决策论Management Science Models for Decision Making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

In the fertilizer product mix problem (1.9), the marginal value $\hat{\pi}_1=5$ for RM-1 means that each unit of RM-1 available to this company at present is equivalent to $5 \$$in net profit. Other marginal values have a similar interpretation. As an application of marginal values, we will show how they can be used to evaluate the profitability of producing a new fertilizer, and at what level its market price should be set so that it will be profitable in comparison with existing product lines. Suppose this company’s research lab has developed a new fertilizer with a catchy name lushlawn. Manufacturing lushlawn needs 3,2,2 tons of RM-1, 2, 3, respectively/ton and incurs other manufacturing costs of 100 \$$ /ton besides the raw material costs. If the company decides to introduce lushlawn as a new product, at what level should they set its market price? One ton of lushlawn needs as input a packet of$(3,2,2)$tons of RM-1, 2, 3. From the marginal value vector$\hat{\pi}$we see that with existing product lines, this packet is equivalent to$3 \hat{\pi}_1+2 \hat{\pi}_2+2 \hat{\pi}_3=25 \$$of net profit. lhus lushlawn is worth manufacturing, if it can be sold at a price that leads to a net profit of 25 \ / ton made. So, the breakeven market price/ton of lushlawn is \ 25+ (raw material costs) + (other manufacturing costs) =\ 25+3 \times 50+ 2 \times 75+2 \times 60+100=\ 435 / ton. By conducting a market survey, the company can determine whether the market will accept lushlawn at a price \geq this breakeven level of \ 435 / ton. Once this is known, the decision whether to produce lushlawn is obvious. By providing this kind of valuable planning information, the LP model has become a highly useful decision-making tool. ## 管理科学代写|决策论代写Management Science Models for Decision Making代考|Contributions to Linear Algebra and Computer Science Dantzig contributed important pedagogic improvements to the teaching of linear algebra. He would state all the algorithmic steps in the GJ elimination method using the fundamental tool of row operations on the detached coefficient tableau for the system with the variable corresponding to each column entered in a top row in every tableau. This makes it easier for young students to see that the essence of this method is to take linear combinations of equations in the original system to get an equivalent but simpler system from which a solution can be read out. In descriptions of the GJ method in most mathematics books on linear algebra, the variables are usually left out. Also, these books state the termination condition in the GJ elimination method to be that of reaching the RREF (reduced row echelon form, a tableau is defined to be in RREF if it contains a full set of unit vectors in proper order at the left end). Dantzig (and of course a lot of other OR people) realized that it is not important that all unit vectors be at the left end of the tableau (they can be anywhere and can be scattered all over); also it is not important that they be in proper order from left to right. He developed the very simple data structure (this phrase means a strategy for storing information generated during the algorithm, and using it to improve the efficiency of that algorithm (perhaps this is the first instance of such a structure in computational algnrithms)) nf assnciating the variahle corresponding to the r th unit vector in the final tableau as the r th basic variable (or basic variable in the r th progresses. This data structure makes it easier to read the solution directly from the progresses. This data structure makes it easier to read the solution directly from the final tableau of the GJ elimination method by making all nonbasic variables =0 and final tableau the canonical tableau to distinguish it from the mathematical concept of RREF. It also opened the possibility of pivot column selection strategies instead of always selecting the leftmost eligible column in this method. Even today it is sad that in courses on linear algebra in mathematics departments, the RREF is emphasized as the output of the GJ elimination method. For a more realistic statement of the GJ method from an OR perspective see Murty (2004). # 决策论代写 ## 管理科学代写|决策论代写管理科学决策模型代考|边际值的解释和一个应用 . 在化肥产品组合问题(1.9)中，RM-1的边际值\hat{\pi}_1=5意味着该公司目前可获得的每单位RM-1相当于净利润5 \$$。其他的边际值也有类似的解释

LP模型通过提供这种有价值的规划信息，成为一种非常有用的决策工具

## 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。

assignmentutor™您的专属作业导师
assignmentutor™您的专属作业导师