Introduction to Optimization
This note introduces the available procedures to tackle three common types of optimization problems: Non-linear, linear, and integer optimization. In each case, we provide examples of real applications, and introduce the corresponding optimization procedures to solve them. It also reviews heuristic procedures to tackle more general problems. Three appendices explain (1) the graphical intuition of LP in the case of 2 decision variables, (2) the use of sensitivity analysis using Solver Table, and (3) The Branch and Bound method to Solve Integer problems.
Collection: IESE (España)
Ref: ADN-265-E
Format: PDF
Number of pages: 30
Publication Date: Nov 30, 2004
Language: English
Description
This note introduces the available procedures to tackle three common types of optimization problems: Non-linear, linear, and integer optimization. In each case, we provide examples of real applications, and introduce the corresponding optimization procedures to solve them. It also reviews heuristic procedures to tackle more general problems. Three appendices explain (1) the graphical intuition of LP in the case of 2 decision variables, (2) the use of sensitivity analysis using Solver Table, and (3) The Branch and Bound method to Solve Integer problems.
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Learning Objective
Provides the MBA students with the necessary theoretical background to apply optimization.
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"Introduction to Optimization"
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