如果你也在 怎样代写运筹学Operations Research这个学科遇到相关的难题,请随时右上角联系我们的24/7代写客服。假设检验Hypothesis是假设检验是统计学中的一种行为,分析者据此检验有关人口参数的假设。分析师采用的方法取决于所用数据的性质和分析的原因。假设检验是通过使用样本数据来评估假设的合理性。
运筹学(Operation)是近代应用数学的一个分支。它把具体的问题进行数学抽象,然后用像是统计学、数学模型和算法等方法加以解决,以此来寻找复杂问题中的最佳或近似最佳的解答。
二战中运筹学的应用
在二战时期,作战研究被定义为 “一种科学方法,为执行部门提供有关其控制的行动的决策的量化依据”。它的其他名称包括作战分析(英国国防部从1962年开始)和定量管理。
在第二次世界大战期间,英国有近1000名男女从事作战研究。大约有200名作战研究科学家为英国军队工作。
帕特里克-布莱克特在战争期间为几个不同的组织工作。战争初期,在为皇家飞机研究所(RAE)工作时,他建立了一个被称为 “马戏团 “的团队,帮助减少了击落一架敌机所需的防空炮弹数量,从不列颠战役开始时的平均超过20,000发减少到1941年的4,000发。
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我们提供的假设检验Hypothesis及其相关学科的代写,服务范围广, 其中包括但不限于:
- 商业分析 Business Analysis
- 计算机科学 Computer Science
- 数据挖掘/数据科学/大数据 Data Mining / Data Science / Big Data
- 决策分析 Decision Analytics
- 金融工程 Financial Engineering
- 数据预测 Data Forecasting
- 博弈论 Game Theory
- 地理/地理信息科学 Geography/Geographic Information Science
- 图论 Graph Theory
- 工业工程 Industrial Engineering
- 库存控制 Inventory control
- 数学建模 Mathematical Modeling
- 数学优化 Mathematical Optimization
- 概率和统计 Probability and statistics
- 排队论 Queueing theory
- 社交网络/交通预测模型 Social network/traffic prediction modeling
- 随机过程 Stochastic processes
- 供应链管理 Supply chain management
运筹学代写
数学代写|运筹学作业代写OPERATIONS RESEARCH代考|illustRation of maximization: adidas aG Retail stoRes
In formulating the LP model for the company, it is important to define the decision variables. These variables would reflect the number of respondents those should be subjected to questionnaires of colour, design and font. Thus, notation utilized for each decision variable is:
$\mathrm{x}{1}=$ number of respondents who were subjected to colour questionnaire, $\mathrm{x}{2}=$ number of respondents who were subjected to design questionnaire, and
$\mathrm{x}{3}=$ number of respondents who were subjected to font questionnaire. Administering one questionnaire consisting questions relating to colour attributes would incur a cost of $\$ 2.5$ so if there are $x{1}$ respondents, then the total cost would be $2.5 \mathrm{x}{1}$. Thus, using cost per interview data, the following minimization objective was formulated: Minimize $\quad Z=2.5 x{1}+1.3 x_{2}+1.5 x_{3}$
数学代写|运筹学作业代写OPERATIONS RESEARCH代考|illustRation of minimization: Rose’s luxuRy RestauRant
The objective is to minimize the cost of arranging a certain number of two types of seating arrangements $A$ and B. Suppose,
$\mathrm{x}{1}$ represents the number of $\mathrm{A}$ type of seating arrangements and $\mathrm{x}{2}$ represents the number of $\mathrm{B}$ type of seating arrangements
Also given is cost of serving one arrangement of both $A$ and $B$ types which is $\$ 10$ and $\$ 15$, respectively.
Thus, objective function would be
Minimize $\quad Z=10 x_{1}+15 x_{2}$
Subject to the following constraints:
Constraint 1 (Floor space): One A type of arrangement takes $16 \mathrm{ft}^{2}$ whereas one B type takes $30 \mathrm{ft}^{2}$ out of maximum available $1,000 \mathrm{ft}^{2}$. So manager has to organize all $A$ and $B$ types in limited space of $1,000 \mathrm{ft}^{2}$.
Thus $16 \mathrm{x}{1}+30 \mathrm{x}{2} \leq 1,000$
Constraint 2 (Demand of A): Minimum demand of A type is given as 20 tables and for B is 15 tables. This implies that given space of restaurant can at least organize 20 and 15 tables of A and B types, respectively.
Thus, $1 x_{1}+0 x_{2} \geq 20$
运筹学代考
数学代写|运筹学作业代写OPERATIONS RESEARCH代考|ILLUSTRATION OF MAXIMIZATION: ADIDAS AG RETAIL STORES
在为公司制定 LP 模型时,定义决策变量很重要。这些变量将反映应接受颜色、设计和字体问卷调查的受访者数量。因此,每个决策变量使用的符号是:
Maximize Profit Z 8 = 0x1 2 + 40x
Constraint 1: 9×1 2 + 4x 1 ≤ 4
Constraint 2: 2×1 2 + 7x 1 ≤ 0
Constraint 3: 5×1 2 + 10x 2 ≤ 0
x1 2 ,x ,x3 ≥ 0
数学代写|运筹学作业代写OPERATIONS RESEARCH代考|ILLUSTRATION OF MINIMIZATION: ROSE’S LUXURY RESTAURANT
目的是尽量减少安排一定数量的两种座位安排的成本一种和 B. 假设,
Constraint 1 (Floor space): One A type of arrangement takes 16 ft2 whereas
one B type takes 30 ft2 out of maximum available 1,000 ft2. So manager has
to organize all A and B types in limited space of 1,000 ft2.
Thus 16×1+ 30×2≤ 1,000
Constraint 2 (Demand of A): Minimum demand of A type is given as 20
tables and for B is 15 tables. This implies that given space of restaurant can
at least organize 20 and 15 tables of A and B types, respectively.
Thus, 1×1+ 0x2≥ 20
Constraint 3 (Demand of B) 0x1+ 1×2≥ 15
Constraint 4 (Capacity): Maximum of 4