Multilevel solution methods for simulation and optimization problems over very large number of variables is central and important to virtually all disciplines in the sciences and engineering. These methodologies are very powerful because the exploit the fact that most computational problems have multiple scales. This notion of multiple scales may take on many different guises, including time and space, pixels, particles, proteins, or web-pages. This multiplicity – and disparity – of scales is an essential source of computational complexity. The multilevel algorithms address the problem under consideration at a hierarchy of scales, typically treating each with a method that is local to that particular scale.
The proposed workshop will bring together world-class experts, mainly from North America, Western Europe, and Israel, to exhibit and discuss their recent research on multilevel computational methods for simulation and optimization in a wide variety of topics and applications. We expect to hear talks on classical problems such as partial differential equations, together with modern tasks such as web search and data mining. We expect coverage in diverse disciplines, including physics, biology, chemistry, economics, environment and earth sciences, computer science and engineering.