An increasing complexity of models used to predict real-world systems leads to the need for
algorithms to replace complex models with far simpler ones while preserving the accuracy of
the predictions. This two-volume handbook covers methods as well as applications. This second
volume focuses on applications in engineering biomedical engineering computational physics
and computer science.
