We consider efficient construction of nonlinear solution paths for general l₁-regularization. Unlike the existing methods that incrementally build the solution path through a combination of local ...

This is a preview. Log in through your library . Abstract In some applications linear approximations to non-linear models are desirable. They bring the benefits of computational simplicity and access ...

Fuzzy number approximations provide a robust framework for representing and managing uncertainty in quantitative analyses. By generating simplified yet accurate representations of fuzzy ...