Analytica Optimizer Guide
This Guide explains how to use the Analytica Optimizer, which enhances Analytica with powerful functions for finding optimal decisions and solving difficult equations.
Table of Contents
- Introduction to the Guide
- Quick Start
- Intro to Structured Optimization
- Notation
- The Optimum Can Example
- Decisions
- Constants
- Variables
- Constraints
- Objectives
- The DefineOptimization() function
- Viewing the Optimization Object
- Obtaining the Solution
- Obtaining the Optimized Objective Value
- Viewing Optimization Status
- Copying Optimized Results to Definitions
- Changing Variable Types (Domain)
- Setting Bounds on Decision Values
- Using Parametric Analysis with Optimization
- The Initial Guess Attribute
- Summary
- Optimization Characteristics
- Introduction
- Parts of an Optimization Problem: General Description
- Identifying the Type of Optimization
- Specific Optimization Characteristics
- Continuous, Integer and Mixed-Integer Programs
- Solving Simultaneous Equations
- Optimizing with Arrays
- Key Concepts: The Airline NLP Example
- Optimizer Attribute Reference
- Optimizer Function Reference
- Control Settings
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