Welcome to LAWA!

LAWA is intended as a basic C++-framework for wavelet applications for PDEs, especially for adaptive methods.

Key features of LAWA are:

  • wavelet bases for different domains

  • realizations of adaptive algorithms

  • ease of use

Consequences of the design:

  • extensibility

  • flexibility

LAWA is still in continuous development. Several parts have reached some quite stable state whereas others still underly permanent change and improvements (especially design aspects). For more detailed information look at the roadmap.

To get started with LAWA, please see the documentation which is intended as a developers guide or read about the available features.