In this talk,we shall present a new Robin-type nonoverlapping domain decomposition preconditioner.The unknown variables to be solved in this preconditioned
Massive parallelism enables the fully resolved simulation of flows with large ensembles of suspended rigid particles that are represented as individual geom
This talk will discuss some recent advances in block Gram-Schmidt for QR factorization.Two applications will be of interest.The first is the QR factorizatio
New preconditioners for least squares problems based on incomplete LU factorizations are presented.Two approaches are considered: computing an incomplete LU
We apply inner-iteration preconditioning to the left-and rightpreconditioned generalized minimal residual(GMRES)method(AB-and BAGMRES)for solving general le
Nonlinear least squares(NLS)problems arise in many applications.Common solvers require to compute and store the corresponding Jacobian matrix explicitly.
Least squares problems appear in many important applications in science and engineering.Recently,there have been many developments in the solution of least
We will describe the development of stochastic variational inequalities for problems with interfaces,con-tact,and phase transformation that exhibit variabil
There are a number of sources of uncertainty which affect manufacturing of composite materials.In the talk resin transfer moulding(RTM)process is considered