Metadata-Version: 2.1
Name: KratosOptimizationApplication
Version: 9.4.4
Summary: KRATOS Multiphysics ("Kratos") is a framework for building parallel, multi-disciplinary simulation software, aiming at modularity, extensibility, and high performance. Kratos is written in C++, and counts with an extensive Python interface.
Home-page: https://github.com/KratosMultiphysics/
Author: Kratos Team
Author-email: kratos@listas.cimne.upc.edu
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: C++
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Natural Language :: English
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Other Audience
Classifier: Intended Audience :: Developers
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: License :: OSI Approved :: BSD License
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: KratosMultiphysics (==9.4.4)

# OptimizationApplication

The Kratos OptimizationApplication is a framework for solving optimization problems in continuum mechanics. It is supposed to handle both gradient-based (adjoint-based) and gradient-free methods. 

## Main Features

* State-of-the-art techniques and algorithms for shape, thickness and material/topology optimization. 
* Efficient and consistent filtering techniques for parametrization-free shape, thickness and material/topology optimization.       
* Abstract problem formulation which enables concurrent and nested multilevel-multi-scale optimization problems.    
* Adaptive gradient-projection technique, developed specially for problems with an arbitrary large number of design variables of different scales.
* Modular implementation which enables analysis and optimization of multi-physics problems.    
* Realization and implementation of additive manufacturing constraints, e.g. hangover conditions (support structures), stackability and geometric limitations.   
