OpenMDAO Tutorials

• Simple Optimization
  • Overview
  • Building a Model - Unconstrained Optimization
  • Building a Model - Constrained Optimization
  • Using Scalers and Adders
  • Building a Model - Executing a Design of Experiment (DOE)
  • Recording Your Inputs and Outputs
  • Adding Derivatives to Your Components
  • Choosing an Optimizer
• MetaModel
  • Using a MetaModel Component
  • Modeling Multiple Outputs
• MDAO Architectures
  • The Sellar Problem
  • Multidisciplinary Design Feasible (MDF)
  • Individual Design Feasible (IDF)
  • Collaborative Optimization (CO)
  • Setting Up Problems for Automatic Architectures
• Working with Geometry
  • Basic Geometry
  • Design of Experiments with Geometry
• A More Complex Tutorial Problem
  • Problem Overview
  • Components and Variables
  • Executing a Component in the Python Shell
  • Wrapping an External Module Using F2PY
  • Assemblies
  • Executing the Vehicle Assembly
  • Drivers for Simulation
  • Setting up an Optimization Problem
  • Solving the Optimization Problem
  • Summary: Using the Iteration Hierarchy
• Implicit Components