Numerical
Solvers for Nonlinear Partial Differential Equations on Octree Adaptive
Grids
Depatment of Mechanical Engineering,
University of California, Santa Barbara
Several phenomena in the physical and the life sciences can be modeled
as a time dependent interface problem and nonlinear partial
differential equations. Examples include the study of electro-osmotic
flows, molecular beam Epitaxy, free surface flows and multiphase flows
in porous media. One of the main difficulties in solving numerically
these equations stems from the fact that the geometry of the problems
is often arbitrary and special care is needed to correctly apply
boundary conditions. Another difficulty is associated with the fact
that such problems involve dissimilar length scales, with smaller
scales influencing larger ones so that nontrivial pattern formation
dynamics can be expected to occur at all intermediate scales. Uniform
grids are limited in their ability to resolve small scales and are in
such situations extremely inefficient in terms of memory storage and
CPU requirements. In this talk, I will present recent advances in the
numerical treatment of interface problem and describe new numerical
solvers for nonlinear partial differential equations in the context of
adaptive mesh refinement based on Octree grids.