Chapter 2-1 - Chapter 2 Problem Summary Prob. # Concepts...

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Chapter 2 Problem Summary Prob. # Concepts Covered Level of Difficult y Notes 2.1 Maximization production model 2 2.2 Maximization model, shadow prices, sensitivity of the objective function coefficients 3 2.3 Alternate optimal solutions 5 2.4 Maximization model, calculation of objective function coefficients, evaluating the profitability of alternatives using shadow prices 6 2.5 Maximization model, calculation of objective function coefficients, interpretation of shadow prices for sunk and included costs 6 2.6 Maximization problem, redundant constraints, checking the validity of model assumptions, elimination of binding constraints, reduced costs 5 2.7 Graphing constraints, interior points, infeasible points, extreme points 4 2.8 Minimization model, interpretation of range of optimality and shadow prices, infeasibility 5 2.9 Blending model, calculation of objective function coefficients, interpretation of shadow prices 5 2.10 Minimization model, evaluating alternatives without using linear programming 3 2.11 Maximization model 2 2.12 Use of two models to compare policies 4 2.13 Maximization model, analysis of left side values 3 2.14 Maximization model, determining the right units for the constraints 5 2.15 Maximization integer model 3 2.16 Different objective functions for same set of constraints 3 2.17 Minimization model 4 2.18 Including a constant in the objective function 4 2.19 Maximization model, reduced costs, sensitivity analyses 4 2.20 Maximization model, calculation of objective function coefficients 5 2.21 Unbounded feasible region with optimal and unbounded solutions, checking model integrality assumption 4 2.22 Sensitivity analyses, use of shadow prices, 100% rule, checking integrality assumption 6 2.23 Maximization investment model 4 2.24 Maximization model, interpretation of range of feasibility, changes outside this range 4 2.25 Alternate optimal solutions 6 Chapter 2 - 1
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2.26 Maximization model, range of optimality, shadow prices, sunk and included costs 5 2.27 Adding constraints, adding variables, reduced costs 6 2.28 Maximization model, evaluating slack and surplus 4 2.29 Sensitivity analyses, interpretation, elimination of a binding constraint 5 2.30 Linear solution is integer solution 2 2.31 Rounding linear solutions; optimal integer solution is not a rounded solution 4 To get the right answer adjust the tolerance in the Options dialogue box from 5% to .01%; otherwise Excel will give a wrong number 2.32 Mixed integer model 4 2.33 Maximization production model, rounding 4 2.34 Minimization model, rounded solution is not the optimal solution 4 To get the right answer adjust the tolerance in the Options dialogue box from 5% to .01%; otherwise Excel will give a wrong number 2.35 Linear model has integer extreme points, evaluation of sensitivity information 6 2.36 Sensitivity of RHS in integer models 5 2.37 Addition of a variable in a linear/integer model 5 2.38 Maximization model, locating feasible integer solutions on a graph, sensitivity results
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This note was uploaded on 09/25/2011 for the course ISDS ISDS 514 taught by Professor C during the Fall '10 term at CSU Fullerton.

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Chapter 2-1 - Chapter 2 Problem Summary Prob. # Concepts...

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