Concepts Covered in the Airline NLP Example

Analytica Optimizer GuideConcepts Covered in the Airline NLP Example

Before reading this chapter, you should already be familiar with the basic parameters of DefineOptimization() and OptSolution() functions, as discussed in the Quick Start, and the roles of intrinsic and extrinsic indexes in optimization, as discussed in Arrays in Optimization Models and Array Abstraction.

Additionally, Modules 3 and 4 of the Airline NLP example assume familiarity with Monte Carlo simulation and Probability Distributions (User Guide Chapter 16). Module 7 assumes familiarity with the Dynamic() function (User Guide Chapter 18).

Topics relevant to all optimization types (LP, QP, and NLP) are:

Module 1: Setting up basic Airline NLP example
Module 2: Parametric Analysis
Combining uncertainty with optimization:
- Module 3: Optimizing on Fractiles or Averages Stochastically (FAST)
- Module 4: Multiple Optimizations of Separate Samples (MOSS) method

Module 5: Abstracted objectives; example of Time as an extrinsic index
Module 6: Intrinsic decision arrays; example of Time as an intrinsic index

Embedded topics relevant only to Non-Linear Problems (NLPs) are:

Improving efficiency using context variables (Modules 4 and 5)
Module 7: Embedding an NLP inside a dynamic loop