Dynamic mode decomposition (DMD) is an efficient tool for decomposing spatio-temporal
data into a set of low-dimensional modes, yielding the oscillation frequencies and the growth …

Fourth-order variational inequalities are encountered in various scientific and engineering
disciplines, including elliptic optimal control problems and plate obstacle problems. In this …

This paper presents the domain decomposition methods (DDMs) for achieving fast parallel
computing on multi-core computers when dealing with the multi-phase labeling problem. To …

We concern with fast domain decomposition methods for solving the total variation
minimization problems in image processing. By decomposing the image domain into non …

We consider sequential and parallel decomposition methods for a dual problem of a general
total variation minimization problem with applications in several image processing tasks, like …