Special issue on Approximation Theory and Related Topics
Dedicated to Professor Ronald DeVore on the occasion of his 80th birthday
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Preface: D. Leviatan, S. Reich and A. Zaslavski
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Markus Bachmayr, Anthony Nouy and Reinhold Schneider
Approximation by tree tensor networks in high dimensions: Sobolev and compositional functions
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Moulay Abdellah Chkifa
Fast change-of-bases in polynomial interpolation
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Stephan Dahlke and Cornelia Schneider
Anisotropic Besov regularity of parabolic PDEs
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Chongyang Deng and Ming-Jun Lai
On locality of harmonic generalized barycentric coordinates
and their application to solution of the poisson equation
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Ogün Doğru
Weighted
statistical approximation properties of Jain-Markov operators
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C. Sinan Güntürk and Nguyen T. Thao
Unrestricted (random) products of projections in Hilbert space: Regularity, absolute convergence of trajectories and statistics of displacements
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András Kroó and József Szabados
On a refinement of Marcinkiewicz-Zygmund type inequalities in Lq, q>0
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Martin Lazar and Enrique Zuazua
Greedy search of optimal approximate solutions
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Wanting Lu and Heping Wang
Approximation and quadrature by weighted least squares polynomials on the sphere
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Guergana Petrova and Przemyslaw Wojtaszczyk
On the entropy numbers and the Kolmogorov widths
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Eitan Tadmor
Long time and large crowd dynamics of fully discrete Cucker-Smale alignment models
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Vladimir Temlyakov
On universal sampling representation
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Vilmos Totik
Zeros of Chebyshev polynomials on Jordan curves
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Gerrit Welper
A relaxation argument for optimization in neural networks and non-xonvex xompressed aensing
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Zongmin Wu and Ran Yang
A new definition of fractional derivatives
and related contents
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Juntao Yang and Viet Ha Hoang
Multilevel Markov Chain Monte Carlo for Bayesian inverse problems for linear elasticity equations in the Hellinger-Reissner mixed and dual mixed forms with Gaussian prior
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Hongkai Zhao and Yimin Zhong
How much can one learn from a single solution of a PDE?
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Zhihui Zhu and Michael B. Wakin
Time-limited Toeplitz operators on Abelian groups:
applications in information theory and subspace approximation
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