The Department of Mathematics & Statistics, Kennedy College of Sciences invites you to attend a colloquium talk. This is an in-person event, but Zoom participation is also possible. All are welcome.

This paper introduces a new class of quasi-Newton algorithms for unconstrained minimization in which no line search is necessary and the inverse Hessian approximations are positive definite. These ...

This is a preview. Log in through your library . Abstract We present a readily implementable algorithm for finding stationary points for locally Lipschitzian functions that are not necessarily convex ...

iterative algorithms; optimization; signal processing; medical imaging. iterative methods for solving large-scale systems of equations with constraints; image reconstruction from CAT and PET scan data ...