sampling

Interactive High-Quality Visualization of Large-Scale Particle Data

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B2 L5 R5209

Large-scale particle data sets, such as those computed in molecular dynamics (MD) simulations, are crucial to investigating important processes in physics and thermodynamics. The simulated atoms are usually visualized as hard spheres with Phong shading, where individual particles and their local density can be perceived well in close-up views. However, for large-scale simulations with 10 million particles or more, the visualization of large fields-of-view usually suffers from strong aliasing artifacts, because the mismatch between data size and output resolution leads to severe under-sampling of the geometry.

Challenges in Coral Reef Research and Conservation: Robotics and Autonomous Sampling to the Rescue?

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B18 Fellowship Hall

Featured Sessions
Abstract Coral reef ecosystems contribute ~$30 billion USD annually to the global economy and harbor 1/4 of all known marine species. However, human activities have driven the loss of 50% of the world’s reefs over the last 30 years, and 90% of remaining reefs are predicted to be threatened by 2030. Thus, there is an urgent need for human interventions to support reef resilience to warming seas, overharvesting and pollution. Various studies have documented the influence of microbial symbionts on host physiology, demonstrated that some hosts are relatively mutable in the symbionts they harbor

Stochastic Optimal Control with Exercise Rate Optimization and Markovian Projections: Pricing American Options and Importance Sampling Applications

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B5 L5 R5209

This talk begins with the problem of pricing American basket options in a multivariate setting. In high dimensions, nonlinear PDE methods for solving the corresponding Hamilton-Jacobi-Bellman (HJB) equation become expensive due to the curse of dimensionality.