Meetings/Workshops on Algorithms in the United States (USA)

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SODA18 — ACM-SIAM Symposium on Discrete Algorithms
07 Jan 2018 - 10 Jan 2018 • Astor Crowne Plaza - New Orleans French Quarter, N, United States
This symposium focuses on research topics related to efficient algorithms and data structures for discrete problems. In addition to the design of such methods and structures, the scope also includes their use, performance analysis, and the mathematical problems related to their development or limitations. Performance analyses may be analytical or experimental and may address worst-case or expected-case performance. Studies can be theoretical or based on data sets that have arisen in practice and may address methodological issues involved in performance analysis.
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ICERM Semester Workshop: Fast Algorithms for Generating Static and Dynamically Changing Point Configurations
12 Mar 2018 - 16 Mar 2018 • Providence, RI, United States
This workshop focuses on fast algorithms for the generation of high quality point configurations and meshes such as hierarchical schemes combined with energy or geometrical optimization techniques. Energy methods utilizing appropriate potentials for a prescribed density on a given manifold have been effective in generating point configurations with good covering and packing properties. These methods rely on efficient energy, gradient, and potential computations which can be achieved by hierarchical algorithms that model a system in a recursively compressed (low-rank or low-dimensional) form where information is transmitted non-locally on a hierarchical tree structure. Different aspects of this technique can be found in the classical FFT, multigrid, and fast multipole method (FMM), as well as the recently developed fast direct solvers, multilevel models in statistics, and convolutional neural networks in deep learning. Fast generation of point configurations and meshes for dynamically evolving systems is especially challenging. For example, in molecular dynamics simulations, the shape of the molecule changes at each time step, and many numerical methods require an underlying “mesh” (e.g., points in particle methods, or surface or volume elements in finite element and integral equation methods) at each time step. Among the essential considerations are the history dependency of the meshes for simulations where the mesh needs to be updated at each time step; coupling of the fast spatial algorithms with the state-of-the-art point and mesh generation tools; recursive algorithm implementation and parallelization; and applications in atmosphere, Earth, gravitational models, dynamics of biomolecular systems; fluid dynamics, and beyond.
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DCC — 2018 Data Compression Conference
27 Mar 2018 - 30 Mar 2018 • Snowbird, UT, United States
The Data Compression Conference (DCC) is an international forum for current work concerning data compression and related applications. The conference addresses not only compression methods for specific types of data (text, images, video, audio, medical and scientific data, graphics, web content, etc.), but also the use of techniques from information theory and data compression in networking, communications, and storage applications involving large datasets (including image and information mining, retrieval, archiving, backup, communications, and human-computer interface). Both theoretical and experimental work is of interest.
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Last updated: 10 September 2017