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Unformatted text preview: Quantitative Analysis BA 452 Homework 1 Questions 1 Homework 1 covers the theory and applications in Lessons I1 to I3. This document has four parts: Objectives of doing your homework. Assignment of homework questions, with suggestions about which other questions may help you understand the homework questions. Homework 1 Supplemented Questions listing 58 questions: 4 of them are your homework, others may help you understand the homework questions, and the rest are there just in case you find them helpful. Some supplemental questions refer to a section of a chapter in the textbook (for example, Section 2.1 means Chapter 2 Section 1 of your textbook). Homework 1 Supplemented Answers listing answers to all 58 questions including your 4 homework questions. Homework 1 covers the theory and applications in Lessons I1 to I3. This document has four parts: Objectives of doing your homework. Assignment of homework questions, with suggestions about which other questions may help you understand the homework questions. Homework 1 Supplemented Questions listing 58 questions: 4 of them are your homework, others may help you understand the homework questions, and the rest may help you understand fine points. Some supplemental questions refer to a section of a chapter in the textbook (for example, Section 2.1 means Chapter 2 Section 1 of your textbook). Homework 1 Supplemented Answers listing answers to all 58 questions excluding your 4 homework questions. Quantitative Analysis BA 452 Homework 1 Questions 2 Objectives By working through the homework questions and the supplemental questions, you will: 1. Obtain an overview of the kinds of problems linear programming has been used to solve. 2. Learn how to develop linear programming models for simple problems. 3. Be able to identify the special features of a model that make it a linear programming model. 4. Learn how to solve two variable linear programming models by the graphical solution procedure. 5. Understand the importance of extreme points in obtaining the optimal solution. 6. Know the use and interpretation of slack and surplus variables. 7. Be able to interpret the computer solution of a linear programming problem. 8. Understand how alternative optimal solutions, infeasibility and unboundedness can occur in linear programming problems. 9. Understand the following terms: problem formulation feasible region constraint function slack variable objective function standard form solution redundant constraint optimal solution extreme point nonnegativity constraints surplus variable mathematical model alternative optimal solutions linear program infeasibility linear functions unbounded feasible solution Quantitative Analysis BA 452 Homework 1 Questions 3 Assignment Questions 11, 13, 27, and 53 is your homework assignment. Questions 11, 13, and 27 should be answered without referring to notes or using computers (Hint: Define decision variables I = Internet fund investment in thousands, B = Blue Chip fund investment in thousands. = Blue Chip fund investment in thousands....
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This note was uploaded on 03/12/2011 for the course BA 452 taught by Professor Various during the Spring '11 term at HardinSimmons.
 Spring '11
 Various
 Business

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