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Anisotropic Adaptive Meshes for Brittle Fractures: Parameter Sensitivity.

M. Artina, M. Fornasier, S. Micheletti, и S. Perotto. ENUMATH, том 103 из Lecture Notes in Computational Science and Engineering, стр. 293-301. Springer, (2013)

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Matteo Fornasier

Jochen Fornasier

Massimo Viola

Massimo Tallarida

Massimo Malagó

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Compressive Sensing.M. Fornasier, и H. Rauhut. Handbook of Mathematical Methods in Imaging, Springer, (2015)Finite Sample Identification of Wide Shallow Neural Networks with Biases.M. Fornasier, T. Klock, M. Mondelli, и M. Rauchensteiner. CoRR, (2022)Quasi-Linear Compressed Sensing.M. Ehler, M. Fornasier, и J. Sigl. CoRR, (2013)Particle Systems and Kinetic Equations Modeling Interacting Agents in High Dimension.M. Fornasier, J. Haskovec, и J. Vybíral. Multiscale Model. Simul., 9 (4): 1727-1764 (2011)Adaptive frame methods for nonlinear variational problems.M. Charina, C. Conti, и M. Fornasier. Numerische Mathematik, 109 (1): 45-75 (2008)Quasi-linear Compressed Sensing.M. Ehler, M. Fornasier, и J. Sigl. Multiscale Model. Simul., 12 (2): 725-754 (2014)Subspace Correction Methods for Total Variation and 1-Minimization.M. Fornasier, и C. Schönlieb. SIAM J. Numerical Analysis, 47 (5): 3397-3428 (2009)Recovery Algorithms for Vector-Valued Data with Joint Sparsity Constraints.M. Fornasier, и H. Rauhut. SIAM J. Numerical Analysis, 46 (2): 577-613 (2008)Consensus-Based Optimization on the Sphere: Convergence to Global Minimizers and Machine Learning.M. Fornasier, L. Pareschi, H. Huang, и P. Sünnen. J. Mach. Learn. Res., (2021)Optimal adaptive computations in the Jaffard algebra and localized frames.S. Dahlke, M. Fornasier, и K. Gröchenig. J. Approx. Theory, 162 (1): 153-185 (2010)

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