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

Key features of LAWA are: -> wavelet bases -> realizations of adaptive and low-rank algorithms for sparse approximations -> extensibility -> flexibility

In the present state the library is mostly undocumented, contains obsolete code, is not bug-free and is user-unfriendly. I do not take any responsibility for damage to property or mental health.