On the public citation graph
Wavelet compression and nonlinearn-widths
0 signed · 61 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/cpa.3160410705openalex-snapshot
Orthonormal bases of compactly supported wavelets
inferredcites →https://doi.org/10.1007/978-1-4612-2966-7_11openalex-snapshot
Nonlinear Wavelet Approximation in the Space C(R d )
inferredcites →https://doi.org/10.1016/0021-9045(90)90001-7openalex-snapshot
On the degree of nonlinear spline approximation in Besov-Sobolev spaces
inferredcites →https://doi.org/10.1090/s0002-9947-1988-0920166-3openalex-snapshot
Interpolation of Besov Spaces
inferredcites →https://doi.org/10.1109/18.119733openalex-snapshot
Image compression through wavelet transform coding
inferredcites →https://doi.org/10.1515/9781400827268.784openalex-snapshot
Compression of wavelet decompositions
inferredcites →https://doi.org/10.2307/2374796openalex-snapshot
Compression of Wavelet Decompositions
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/mana.201500018openalex-snapshot
Bernstein numbers of embeddings of isotropic and dominating mixed Besov spaces
inferred← citeshttps://doi.org/10.1006/jath.1997.3142openalex-snapshot
Multiscale Characterizations of Besov Spaces on Bounded Domains
inferred← citeshttps://doi.org/10.1006/jath.1999.3399openalex-snapshot
Continuous Algorithms in n-Term Approximation and Non-Linear Widths
inferred← citeshttps://doi.org/10.1007/978-1-4471-0751-4_1openalex-snapshot
Smoothing Data: When Finite and Infinite Dimensional Help Each Other
inferred← citeshttps://doi.org/10.1007/978-1-4471-1523-6_15openalex-snapshot
Recent Results and Mathematical Methods for Functional Approximation by Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-540-48503-2openalex-snapshot
Concentration Inequalities and Model Selection
inferred← citeshttps://doi.org/10.1007/bf00364079openalex-snapshot
Affine fractal interpolation functions and wavelet-based finite elements
inferred← citeshttps://doi.org/10.1007/bf02837045openalex-snapshot
Restricted nonlinear approximation and singular solutions of boundary integral equations
inferred← citeshttps://doi.org/10.1007/s00365-012-9161-3openalex-snapshot
Best m-Term Approximation and Sobolev–Besov Spaces of Dominating Mixed Smoothness—the Case of Compact Embeddings
inferred← citeshttps://doi.org/10.1007/s00365-021-09548-zopenalex-snapshot
Nonlinear Approximation and (Deep) $$\mathrm {ReLU}$$ Networks
inferred← citeshttps://doi.org/10.1007/s003659910001openalex-snapshot
An Adaptive Compression Algorithm in Besov Spaces
inferred← citeshttps://doi.org/10.1007/s003659910019openalex-snapshot
On Multivariate Adaptive Approximation
inferred← citeshttps://doi.org/10.1007/s10208-021-09494-zopenalex-snapshot
Optimal Stable Nonlinear Approximation
inferred← citeshttps://doi.org/10.1007/s102550200069openalex-snapshot
The Average Widths and Non-linear Widths of the Classes of Multivariate Functions with Bounded Moduli of Smoothness
inferred← citeshttps://doi.org/10.1007/s10444-026-10295-7openalex-snapshot
Deep orthogonal decomposition: a continuously adaptive neural network approach to model order reduction of parametrized partial differential equations
inferred← citeshttps://doi.org/10.1016/bs.hna.2024.05.006openalex-snapshot
Neural Galerkin schemes for sequential-in-time solving of partial differential equations with deep networks
inferred← citeshttps://doi.org/10.1016/j.jat.2011.02.006openalex-snapshot
Best m -term approximation and Lizorkin–Triebel spaces
inferred← citeshttps://doi.org/10.1016/j.jat.2012.11.004openalex-snapshot
Continuous algorithms in adaptive sampling recovery
inferred← citeshttps://doi.org/10.1016/j.jat.2013.09.006openalex-snapshot
Best m -term trigonometric approximation of periodic functions of several variables from Nikol’skii–Besov classes for small smoothness
inferred← citeshttps://doi.org/10.1016/j.jco.2005.06.005openalex-snapshot
Optimal approximation of elliptic problems by linear and nonlinear mappings I
inferred← citeshttps://doi.org/10.1016/j.jco.2006.04.001openalex-snapshot
Optimal approximation of elliptic problems by linear and nonlinear mappings II
inferred← citeshttps://doi.org/10.1016/j.jco.2007.03.001openalex-snapshot
Optimal approximation of elliptic problems by linear and nonlinear mappings III: Frames
inferred← citeshttps://doi.org/10.1016/j.jco.2024.101884openalex-snapshot
Sharp lower bounds on the manifold widths of Sobolev and Besov spaces
inferred← citeshttps://doi.org/10.1016/j.jmaa.2022.126179openalex-snapshot
An approach for recovering initial temperature via a bounded linear time sampling
inferred← citeshttps://doi.org/10.1016/j.rinam.2026.100775openalex-snapshot
Data regularization and deconvolution for non-intrusive reduced-order modeling of transport-dominated problems
inferred← citeshttps://doi.org/10.1016/s0898-1221(98)00153-9openalex-snapshot
Wavelet simultaneous approximation from samples affected by noise
inferred← citeshttps://doi.org/10.1017/fms.2025.10101openalex-snapshot
On the power of adaption and randomization
inferred← citeshttps://doi.org/10.1017/s0962492921000052openalex-snapshot
Neural network approximation
inferred← citeshttps://doi.org/10.1017/s0962492925100287openalex-snapshot
Approximation of functions: Optimal sampling and complexity
inferred← citeshttps://doi.org/10.1017/s0962492926100294openalex-snapshot
Nonlinear model reduction for transport-dominated problems
inferred← citeshttps://doi.org/10.1070/rm1995v050n02abeh002069openalex-snapshot
Harmonics and splines as optimal tools for approximation and recovery
inferred← citeshttps://doi.org/10.1109/78.942622openalex-snapshot
Convergence of the Red-TOWER method for removing noise from data
inferred← citeshttps://doi.org/10.1117/12.2526373openalex-snapshot
Iterative and greedy algorithms for the sparsity in levels model in compressed sensing
inferred← citeshttps://doi.org/10.1137/130944436openalex-snapshot
Sampling, Metric Entropy, and Dimensionality Reduction
inferred← citeshttps://doi.org/10.1137/20m1316998openalex-snapshot
Manifold Approximations via Transported Subspaces: Model Reduction for Transport-Dominated Problems
inferred← citeshttps://doi.org/10.1142/s0218202514500262openalex-snapshot
Recovery of an initial temperature from discrete sampling
inferred← citeshttps://doi.org/10.1142/s0219691303000104openalex-snapshot
Image Recognition Based on Nonlinear Wavelet Approximation
inferred← citeshttps://doi.org/10.1214/aos/1015957395openalex-snapshot
Adaptive estimation of a quadratic functional by model selection
inferred← citeshttps://doi.org/10.12677/aam.2021.104095openalex-snapshot
Nonlinear Width of an Infinite-Dimensional Sequence Space
inferred← citeshttps://doi.org/10.1360/ssm-2026-0097openalex-snapshot
Approximation theory of neural networks: From classical theory to high dimensions
inferred← citeshttps://doi.org/10.21538/0134-4889-2017-23-3-3-21openalex-snapshot
Оценки наилучших приближений функций класса логарифмической гладкости в пространстве Лоренца
inferred← citeshttps://doi.org/10.3390/axioms14010025openalex-snapshot
The Theory and Applications of Hölder Widths
inferred← citeshttps://doi.org/10.4230/dagsemproc.04401.12openalex-snapshot
Optimal Approximation of Elliptic Problems by Linear and Nonlinear Mappings
inferred← citeshttps://doi.org/10.4230/dagsemproc.04401.13openalex-snapshot
Optimal Approximation of Elliptic Problems II: Wavelet Methods
inferred← citeshttps://doi.org/10.5206/mase/13511openalex-snapshot
On approximating initial data in some linear evolutionary equations involving fraction Laplacian
inferred← citeshttps://doi.org/10.5206/mase/16723openalex-snapshot
Recovery of an initial temperature of a one-dimensional body from finite time-observations
inferred← citeshttps://doi.org/10.58997/ejde.conf.27.y1openalex-snapshot
Initial temperature profile recovery under a mixed boundary condition
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.