Difference between revisions of "Optimizing with Arrays"
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* [[Arrays in Optimization Models and Array Abstraction]] | * [[Arrays in Optimization Models and Array Abstraction]] | ||
* [[Example 1: Beer Distribution LP, Base Case]] | * [[Example 1: Beer Distribution LP, Base Case]] | ||
| − | * Example 2: Beer Distribution with Added Scenario | + | * [[Example 2: Beer Distribution with Added Scenario]] |
* Example 3: Beer Distribution with Limited Routes | * Example 3: Beer Distribution with Limited Routes | ||
* Piecewise-Linear (PWL) Relationships | * Piecewise-Linear (PWL) Relationships | ||
Revision as of 12:51, 17 November 2015
This chapter shows you how to optimize using Decision and Constraint arrays and identify indexes that are intrinsic to the optimization. Here, you will learn how to enter intrinsic arrays in Intrinsic Index lists, use Analytica’s Intelligent Array logic to set up multiple optimizations, refine a model by changing dimensions of the decision array, and Incorporate piecewise-linear (PWL) relationships into a Linear Program.
Sections
- Arrays in Optimization Models and Array Abstraction
- Example 1: Beer Distribution LP, Base Case
- Example 2: Beer Distribution with Added Scenario
- Example 3: Beer Distribution with Limited Routes
- Piecewise-Linear (PWL) Relationships
- Chapter Summary
Example 2: Beer Distribution with Added Scenario
<footer> Optimization Characteristics / Optimizing with Arrays / Key Concepts: The Airline NLP Example</footer>
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