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  • pyOptSparse — pyOptSparse documentation
    pyOptSparse is an object-oriented framework for formulating and solving nonlinear constrained optimization problems in an efficient, reusable, and portable manner
  • Installation Instructions — pyOptSparse documentation
    This would install pyOptSparse with the built-in optimizers, plus IPOPT If you wish to use optimizers not packaged by conda, e g SNOPT, then you must either build the package from source or use the installation script below If you have the SNOPT precompiled library available, it is possible to dynamically link it to pyOptSparse following the instructions on the SNOPT installation page
  • NSGA2 — pyOptSparse documentation
    This optimizer is a non-dominating sorting genetic algorithm that solves non-convex and non-smooth single and multiobjective optimization problems The algorithm attempts to perform global optimization, while enforcing constraints using a tournament selection-based strategy Warning
  • IPOPT — pyOptSparse documentation
    IPOPT (Interior Point OPTimizer) is an open source interior point optimizer, designed for large-scale nonlinear optimization The source code can be found here
  • SNOPT — pyOptSparse documentation
    API class pyoptsparse pySNOPT pySNOPT SNOPT(*args, **kwargs) [source] SNOPT Optimizer Class This is the base optimizer class that all optimizers inherit from We define common methods here to avoid code duplication Parameters: namestr Optimizer name categorystr Typically local or global defaultOptionsdictionary A dictionary containing the default options informsdict Dictionary of the inform
  • Quickstart — pyOptSparse documentation
    Quickstart The following shows how to get started with pyOptSparse by solving Schittkowski’s TP37 constrained problem First, we show the complete program listing and then go through each statement line by line:
  • Advanced Features — pyOptSparse documentation
    MPI handling pyOptSparse can optionally run in parallel if a suitable mpi4py installation exists This will be automatically detected and imported at run-time
  • pyOptSparse Documentation
    Introduction pyOptSparse is fairly extensive modification to the original pyOpt framework originally written by Dr Ruben E Perez and Peter W Jansen It is not backwards compatible with pyOpt and thus optimization scripts will need to be modified to use pyOptSparse





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