View source for Concepts Covered in the Airline NLP Example

[[Category: Analytica Optimizer Guide]]
<breadcrumbs> Analytica Optimizer Guide > {{PAGENAME}}</breadcrumbs><br /> 

Before reading this chapter, you should already be familiar with the basic parameters of [http://wiki.analytica.com/index.php?title=DefineOptimization DefineOptimization]() and [http://wiki.analytica.com/index.php?title=OptSolution OptSolution]() functions, as discussed in the [http://wiki.analytica.com/index.php?title=Quick_Start Quick Start], and the roles of intrinsic and extrinsic indexes in optimization, as discussed in [http://wiki.analytica.com/index.php?title=Arrays_in_Optimization_Models_and_Array_Abstraction 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 (see Probability Distributions section in the Analytica User Guide). Module 7 assumes familiarity with the [http://wiki.analytica.com/index.php?title=Dynamic Dynamic]() function (see Dynamic Simulation section in the Analytica User Guide).

Topics relevant to all optimization types (LP, QP, and NLP) are:
* '''[http://wiki.analytica.com/index.php?title=Airline_NLP_Module_1%3A_Base_Case Module 1]'''[http://wiki.analytica.com/index.php?title=Airline_NLP_Module_1%3A_Base_Case : Setting up basic Airline NLP example]
* '''[http://wiki.analytica.com/index.php?title=Using_Parametric_Analysis%3A_Airline_NLP_Module_2 Module 2]'''[http://wiki.analytica.com/index.php?title=Using_Parametric_Analysis%3A_Airline_NLP_Module_2 : Parametric Analysis]
* Combining uncertainty with optimization:
** '''[http://wiki.analytica.com/index.php?title=Optimizing_with_Uncertainty#Module_3:_Stochastic_Optimization_.28FAST.29 Module 3]'''[http://wiki.analytica.com/index.php?title=Optimizing_with_Uncertainty#Module_3:_Stochastic_Optimization_.28FAST.29 : Optimizing on Fractiles or Averages Stochastically (FAST)]
** '''[http://wiki.analytica.com/index.php?title=Optimizing_with_Uncertainty#Module_4:_Multiple_Optimizations_of_Separate_Samples_.28MOSS.29 Module 4]'''[http://wiki.analytica.com/index.php?title=Optimizing_with_Uncertainty#Module_4:_Multiple_Optimizations_of_Separate_Samples_.28MOSS.29 : Multiple Optimizations of Separate Samples (MOSS) method]

* '''[http://wiki.analytica.com/index.php?title=Module_5%3A_Time_as_an_Extrinsic_index Module 5]'''[http://wiki.analytica.com/index.php?title=Module_5%3A_Time_as_an_Extrinsic_index : Abstracted objectives; example of Time as an extrinsic index]
* '''[http://wiki.analytica.com/index.php?title=Module_6%3A_Time_as_an_Intrinsic_Index Module 6]'''[http://wiki.analytica.com/index.php?title=Module_6%3A_Time_as_an_Intrinsic_Index : Intrinsic decision arrays; example of Time as an intrinsic index]<br />
<br />
Embedded topics relevant only to Non-Linear Problems (NLPs) are:<br />

* Improving efficiency using context variables ('''[http://wiki.analytica.com/index.php?title=Optimizing_with_Uncertainty#Module_4:_Multiple_Optimizations_of_Separate_Samples_.28MOSS.29 Modules 4] and [http://wiki.analytica.com/index.php?title=Module_5%3A_Time_as_an_Extrinsic_index 5]''')
* '''[http://wiki.analytica.com/index.php?title=Module_7%3A_Embedding_an_NLP_in_a_Dynamic_Loop Module 7]'''[http://wiki.analytica.com/index.php?title=Module_7%3A_Embedding_an_NLP_in_a_Dynamic_Loop : Embedding an NLP inside a dynamic loop<br />]


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