Foundations of computational mathematics, Budapest 2011 / by Foundations of Computational Mathematics Conference (2011 : Budapest, Hungary), Cucker, Felipe, 1958-, editor, Krick, Teresa, editor, Pinkus, Allan, editor, Szanto, Agnes, editor, Society for the Foundation of Computational Mathematics

The primal-dual second-order cone approximations algorithm for symmetric cone programming by Chua, Chek Beng.

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Sparse Multi-Reference Alignment: Phase Retrieval, Uniform Uncertainty Principles and the Beltway Problem by Ghosh, Subhroshekhar, Rigollet, Philippe

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Semidefinite Approximations of the Matrix Logarithm by Fawzi, Hamza, Saunderson, James, Parrilo, Pablo A.

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Approximation of Parametric Derivatives by the Empirical Interpolation Method by Grepl, Martin A., Patera, Anthony T., Ronquist, Einar M., Eftang, Jens L.

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Mathematics of the Neural Response by Bouvrie, Jacob Vincent, Rosasco, Lorenzo Andrea, Poggio, Tomaso A., Smale, S., Caponnetto, A.

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On the Distribution of Atkin and Elkies Primes by Shparlinski, Igor E., Sutherland II, Andrew Victor

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Scattering in Flatland: Efficient Representations via Wave Atoms by Demanet, Laurent, Ying, Lexing

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Compressive wave computation by Demanet, Laurent, Peyre, Gabriel

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Random Triangle Theory with Geometry and Applications by Edelman, Alan, Strang, Gilbert

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Finite element approximation of high-dimensional transport-dominated diffusion problems by Suli, E

“…(Presented as an invited lecture under the title "Computational multiscale modelling: Fokker-Planck equations and their numerical analysis" at the Foundations of Computational Mathematics conference in Santander, Spain, 30 June - 9 July, 2005.) …”

Generalization and Properties of the Neural Response by Bouvrie, Jake, Poggio, Tomaso, Rosasco, Lorenzo, Smale, Steve, Wibisono, Andre

“…Our work is based on the framework of hierarchical architectures introduced by Smale et al. in the paper "Mathematics of the Neural Response", Foundations of Computational Mathematics, 2010. We propose a generalized definition of the neural response and derived kernel that allows us to integrate some of the existing hierarchical algorithms in practice into our framework. …”
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Greedy approximation of high-dimensional Ornstein-Uhlenbeck operators with unbounded drift by Figueroa, L, Suli, E

Generalization and properties of the neural response by Wibisono, Andre Yohannes

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