logo

OpenMDAO
  • Welcome to OpenMDAO

Getting Started

  • Getting Started

Basic User Guide

  • Basic User Guide
    • How OpenMDAO Represents Variables
    • Paraboloid - A Single-Discipline Model
    • Optimization of Paraboloid
    • Sellar - A Two-Discipline Problem with a Nonlinear Solver
    • Linking Variables with Promotion vs. Connection
    • Optimizing the Sellar Problem
    • Sanity Checking Your Model
    • Visualizing The Structure of Your Model
    • Basic Recording Example

Advanced User Guide

  • Advanced User Guide
    • Building Models with Solvers and Implicit Components
    • Using BalanceComp to Create Implicit Relationships in Groups
    • Computing Total Derivatives of Coupled Models
    • Defining Partial Derivatives on Implicit Components
    • Defining Partial Derivatives on Explicit Components
    • Advanced Recording Example
    • Cannonball Example with Euler Integration and an External Optimizer

Reference Guide

  • Theory Manual
    • OpenMDAO Class Structure
    • Understanding How Variables Work
    • The System Setup Stack: Understanding When to Use setup and configure
    • OpenMDAO Solvers
    • Scaling Variables in OpenMDAO
    • Determining How Many Times a System was Executed
    • How Total Derivatives are Computed
    • Setting Up a Model for Efficient Linear Solves
    • Advanced Linear Solver Algorithms for Special Cases
  • Features
    • Core Features
    • Building Blocks
    • Recording Data
    • Model Visualization
    • Debugging
    • Warning Control
    • Units Definitions
    • Experimental Features
  • Examples
    • Optimizing a Paraboloid – The TL;DR Version
    • Simple Optimization
    • Wind Turbine Actuator Disc
    • Hohmann Transfer Example - Optimizing a Spacecraft Manuever
    • Kepler’s Equation
    • Converging an Implicit Model: Nonlinear circuit analysis
    • Optimizing the Thickness Distribution of a Cantilever Beam Using the Adjoint Method
    • Revisiting the Beam Problem - Minimizing Stress with KS Constraints and BSplines
    • Simple Optimization using Simultaneous Derivatives

Other Useful Docs

  • Command Line Tools
  • How to Cite OpenMDAO
  • Building a Tool on Top of OpenMDAO
    • Repository Structure
    • Coming Soon
    • Release Your Project on pypi
    • Coming Soon
  • Conversion Guide for the Auto-IVC (IndepVarComp) Feature
  • Upgrading from OpenMDAO 2.10 to OpenMDAO 3
  • File Wrapping
  • Source Docs
  • Developer Docs (if you’re going to contribute code)
    • Local Building of OpenMDAO Documentation
    • OpenMDAO Docs Style Guide
    • Sphinx and Decorated Methods
    • Writing Plugins
Powered by Jupyter Book

openmdao.drivers¶

  • differential_evolution_driver

  • doe_driver

  • doe_generators

  • genetic_algorithm_driver

  • pyoptsparse_driver

  • scipy_optimizer

By The OpenMDAO Development Team
© Copyright 2021.