We investigate the use of general, non-l2 measures of data misfit and model structure in the solution of the non-linear inverse problem. Of particular interest are robust measures of data misfit, and ...

The nonlinear effects that have been observed in adaptive filtering scenarios are explained from the point of view of the structure that underlies the desired data. While the model structure used by ...

For structures that show non-linear behavior and where ultimate limit states need to be assessed, non-linear structural identification is needed. However, non-linear structural identification of ...

Finally, the analysis and design of non-linear building isolation systems are discussed. Traditional equivalent linearization approaches and advanced non-linear frequency design approaches are ...

A data structure is a way of organizing and storing data so that it can be accessed and modified efficiently. The choice of data structure is crucial for algorithmic performance and resource ...

Non-linear approaches to course structure that improve learning Chris Jones shares advice for designing online courses that take a non-linear approach to learning, by breaking up teaching content into ...