程序代写 CS代考

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CS代考 QUESTION 1: The Long-Term Impact of the Slave Trade [25 Points]

QUESTION 1: The Long-Term Impact of the Slave Trade [25 Points] This part uses data from the following paper, available in the assessment folder on Moodle: (2008). “The Long-Term Effects of Africa’s Slave Trades.” Quarterly Journal of Economics 123 (1): 139-176. Copyright By PowCoder代写 加微信 powcoder To help answer this question, first read the paper.

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程序代写 Ratio Analysis Sheet

Ratio Analysis Sheet Gross profit ratio – Profitability Copyright By PowCoder代写 加微信 powcoder Calculation: Implications: Possible strategies: Net profit ratio – Profitability Calculation: Implications: Possible strategies: Ratio of Total Expenses to Sales– Profitability Calculation: Implications: Possible strategies: Ratio of Expenses to Sales (Sales & Distribution Expenses) – Profitability Calculation: Implications: Possible strategies: Ratio of Expenses

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程序代写 COMP4041 Workshop 9 Solving Nonlinear Optimization Models

COMP4041 Workshop 9 Solving Nonlinear Optimization Models Purpose: Explore the process of solving some small nonlinear optimization models with the two nonlinear solvers available in Excel: GRG Nonlinear and Evolutionary. Please note that, of course, there are better software to solve non-linear models (e.g. R, Matlab, Weka, etc.) but we keep to the tools you

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CS代考 COMP4041-LDO Workshop 6 Selection, Assignment and Location Problems

COMP4041-LDO Workshop 6 Selection, Assignment and Location Problems Purpose: Write and solve optimization models for selection, assignment and location optimization problems including modelling constraints using binary decision variables. The Excel file for this workshop contains two spreadsheets models for the INTERNET CONNECTION problem from the Lecture 6 notes. One is non-linear, and the non- linearity

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CS代考 COMP4041-LDO Workshop 7 Packing, Routing and Sequencing Problems

COMP4041-LDO Workshop 7 Packing, Routing and Sequencing Problems Purpose: Write and solve BIP models for some packing, routing and sequencing optimization problems with Excel, LP-Solve and OpenSolver. The Excel file for this workshop contains a spreadsheet with the data for an instance of the GENERALISED ASSIGNMENT problem with N=15 tasks and N=5 workers Develop the

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CS代考 COMP4041-LDO Workshop 8 Multi-objective Optimization

COMP4041-LDO Workshop 8 Multi-objective Optimization Purpose: Apply various approaches to find trade-off solutions to multi-objective optimization problems. Consider the following 2-objective optimization LP model. Solve this model first to optimize objective Z1 and then to optimize objective Z2. This should produce the two extreme trade-off solutions. That is, one solution with the optimal Z1 but

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CS代考 COMP4041-LDO Workshop 1 Basics of Computational Optimization

COMP4041-LDO Workshop 1 Basics of Computational Optimization Purpose: Familiarise with Excel Solver and LP-Solve to model and solve some small optimization problems. Please read carefully and spend the time needed to follow the instructions in this Step because having access to the software is essential for this module. You need access to the Excel App

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CS代考 COMP4041-LDO Workshop 3 Product-Mix Optimization as LP and IP

COMP4041-LDO Workshop 3 Product-Mix Optimization as LP and IP Purpose: Develop, solve and interpret LP and IP models for various product-mix optimization problems. Develop the optimization model in Excel and LP-Solve to solve each of the product-mix optimization problems below. Aim to approach each problem with the following steps: 1) identify data, 2) identify decision

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程序代写 COMP4041-LDO Workshop 2 Fundamentals of Linear Programming

COMP4041-LDO Workshop 2 Fundamentals of Linear Programming Purpose: Develop algebraic and spreadsheet models for small optimization problems and apply the graphical method to 2-variable LP models. The Excel file for this workshop includes a screenshot of the spreadsheet LP model for the following optimization problem: A company does VEGETABLES DISTRIBUTION to grocery stores. A box

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