multigrid algorithms

We present a novel image-based multiscale multigrid solver that can efficiently address the computational complexity associated with highly heterogeneous systems. This solver is developed based on an image-based, multiresolution model that enables reliable data flow between corresponding computational grids and provides large data compression. A set of inter-grid operators is constructed based on the microstructural data which remedies the issue of missing coarse grid information.

The Center for Modeling Simulation and Imaging in Medicine (CeMSIM) at Rensselaer Polytechnic Institute invites applications for a postdocotoral associate position to work on projects related to fast computational methods in solid mechanics. Desirable qualifications for this postion includes, but is not limited to the following:

1. PhD in Mechanical Engineering, Applied Mechanics or related field.

2. Background in linear complementarity problems

3. Strong background in numerical linear algebra, particularly multigrid methods.

4. Excellent C++ skills