In this talk we present an algorithm for monotonic interpolation to monotone data on a rectangular mesh by piecewise bicubic functions.Carlton and Fritsch d
Many important chemical and biological phenomena are slow processes on time-scales from microsec to msec or much longer.The limitation of all-atom MD simula
I will describe recent extensions and applications of nonequilibrium umbrella sampling.In particular,I will show how it,and related enhanced sampling method
We discuss a geometry-based statistical learning framework for performing model reduction and modeling of stochastic high-dimensional dynamical systems: we
Many problems arising from chemistry,physics and materials science involve rare but significant exit events and/or transition events between stable states.T
One challenging image recovery problem is the so-called blind de-convolution problem,which aims at recovering the clear image from one blurred observation w
We consider the problem of solving for the sparsest solution of large underdetermined linear system of equations where the matrix is the adjacency matrix of
In this talk,we will give a short overview of methods for the local adaptation of regularisation parameters in variational methods for image restoration.
Tomography problems typically yield deterministic sampling patterns that are highly structured.Recent developments demonstrate how regularization techniques
Inverse problems have become a central theme in various fields of sciences and engineering such as imaging sciences.This field draws from various mathematic