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Annual Report 2008.pdf - SAMSI

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efficiently generate solutions with a high order of accuracy. Comparison with the standard level<br />

set reinitialization algorithm shows ours is superior in terms of predictability and local<br />

construction, critical, for example, in local level set methods. We further apply the same ideas to<br />

extension of values off interfaces. Together, our proposed approaches can be used to advance the<br />

level set method for fast and accurate computations of the latest scientific problems.<br />

Jon Wilkening<br />

University of California, Berkeley<br />

Department of Mathematics<br />

wilken@math.berkeley.edu<br />

“Shape Optimization of Swimming Sheets”<br />

Motivated by the propulsion mechanisms adopted by gastropods, we consider shape optimization<br />

of a flexible sheet which propels itself over a thin layer of viscous fluid by propagating<br />

deformation waves along its body. We use a lubrication approximation to model the dynamics<br />

and derive the relevant Euler-Lagrange equations to optimize swimming speed and efficiency.<br />

We present a fast, highly accurate method for solving the optimization equations and explore the<br />

solution in various singular limits. We also monitor the validity of the model using a new<br />

rigorous error estimate for Reynolds' approximation.<br />

Hongkai Zhao<br />

University of California, Irvine<br />

Department of Mathematics<br />

zhao@math.uci.edu<br />

“Grid Based Particle Method for Moving Interface Problem”<br />

We introduce a novel formulation that combines Lagragian particle method with an Eulerian<br />

reference. The interface is represented and tracked with quasi-uniform distributed particles<br />

without mesh or parametrization. Each of the particle is asscociated to an underlying grid point<br />

near the interface and vice versa. Adaptivity is easily acheived through the underlying grid and<br />

simple tree data structure. Topological changes can be controled according to the physics. We<br />

will use extensive numerical examples, such as with given (normal) velocity, mean curvature<br />

flow, surface diffusion of Laplacian and Willmore flow in 2D and 3D to demonstrate our<br />

algorithm.<br />

XV. Program on Environmental Sensor Networks Opening<br />

Schedule<br />

Sunday, January 13, 2008<br />

Radisson Hotel RTP<br />

Overview Tutorials<br />

8:00-9:00 Registration and Continental Breakfast

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