Meetings/Workshops on Applied Maths: Numerical Analysis, Algebra and Computational Mathematics in the United States (USA)
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ICERM Semester Workshop: Computational Challenges in the Theory of Lattices
23 Apr 2018 - 27 Apr 2018 • Providence, RI, United States
This workshop will focus on the computational aspects of the theory of Euclidean lattices and on their applications to other areas in mathematics and computer science. It will put emphasis on computational challenges on lattice problems that have recently arisen from unexpected connections to other domains such as algebraic topology, automorphic forms, or cryptography. A major goal of this workshop is to bring together researchers from different areas, working with Euclidean lattices, and to facilitate their interactions. Topics will include the reduction theory of lattices and its applications, Voronoi algorithms and their use to compute the cohomology of arithmetic groups, the classification of lattice genera and the computation of spaces of modular forms, the algorithmic aspects of lattice based cryptography, in particular the relationship between the security of cryptographic primitives and the hardness of lattice problems.
Summer Graduate School: Representations of High Dimensional Data
08 Jul 2018 - 20 Jul 2018 • Mathematical Sciences Research Institute, Berkeley, United States
In today's world, data is exploding at a faster rate than computer architectures can handle. This summer school will introduce students to modern and innovative mathematical techniques that address this phenomenon. Hands-on topics will include data mining, compression, classification, topic modeling, large-scale stochastic optimization, and more.
SODA19 — ACM-SIAM Symposium on Discrete Algorithms
06 Jan 2019 - 09 Jan 2019 • San Diego, 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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Last updated: 11 November 2017