Analysis and Applications

ISSN (print): 0219-5305 | ISSN (online): 1793-6861

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AA - Top Downloaded Articles of 2024

LATEST ARTICLES

Optimal distributed subsampling for high-dimensional linear measurement error models via doubly bias-corrected score
- Junzhuo Gao and
- Lei Wang
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Existence and multiplicity of solutions for Kirchhoff elliptic problems with nondegenerate points via nonlinear Rayleigh quotient in $ℝ^{N}$
Vol. 23, No. 03
Asymptotic behavior for nonlinear textiles with glued yarns
- Riccardo Falconi,
- Georges Griso, and
- Julia Orlik
Vol. 23, No. 03
Soliton resolution for the modified short pulse equation with the weighted Sobolev initial data
- Feiying Yan,
- Jia Wang,
- Yihao Li, and
- Xianguo Geng
Vol. 23, No. 03
Horocyclic harmonic Bergman spaces on homogeneous trees
- Filippo De Mari,
- Matteo Monti, and
- Elena Rizzo
Vol. 23, No. 03
$L^{2}$ decay for large perturbations of viscous shocks for multi-D Burgers equation
- Moon-Jin Kang and
- HyeonSeop Oh
Vol. 23, No. 03

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2023 Impact Factor: 2.0
2023 CiteScore: 3.9
2023 Source Normalized Impact per Paper (SNIP): 1.440
2023 SCImago Journal Rank (SJR): 0.986

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MOST READ ARTICLES
The most read articles in the last 3 years

Recent advances in asymptotic analysis
- R. Wong and
- Yu-Qiu Zhao
Vol. 20, No. 06
Approximating functions with multi-features by deep convolutional neural networks
- Tong Mao,
- Zhongjie Shi, and
- Ding-Xuan Zhou
Vol. 21, No. 01
Deep ReLU networks and high-order finite element methods
Vol. 18, No. 05
Error bounds for approximations with deep ReLU neural networks in $W^{s, p}$ norms
- Ingo Gühring,
- Gitta Kutyniok, and
- Philipp Petersen
Vol. 18, No. 05
Exact reconstruction of extended exponential sums using rational approximation of their Fourier coefficients
Vol. 20, No. 03
Deep learning in high dimension: Neural network expression rates for generalized polynomial chaos expansions in UQ
- Christoph Schwab and
- Jakob Zech
Vol. 17, No. 01
Existence of ground states for aggregation-diffusion equations
- J. A. Carrillo,
- M. G. Delgadino, and
- F. S. Patacchini
Vol. 17, No. 03
BiGCN: A bi-directional low-pass filtering graph neural network
- Zhixian Chen,
- Tengfei Ma,
- Zhihua Jin,
- Yangqiu Song, and
- Yang Wang
Vol. 20, No. 06
Deep ReLU neural networks overcome the curse of dimensionality for partial integrodifferential equations
- Lukas Gonon and
- Christoph Schwab
Vol. 21, No. 01

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The most cited articles in the last 3 years. Source: Crossref

GLOBAL DISSIPATIVE SOLUTIONS OF THE CAMASSA–HOLM EQUATION
Vol. 05, No. 01
Deep vs. shallow networks: An approximation theory perspective
- H. N. Mhaskar and
- T. Poggio
Vol. 14, No. 06
Deep distributed convolutional neural networks: Universality
- Ding-Xuan Zhou
Vol. 16, No. 06
Error bounds for approximations with deep ReLU neural networks in $W^{s, p}$ norms
- Ingo Gühring,
- Gitta Kutyniok, and
- Philipp Petersen
Vol. 18, No. 05
Deep learning in high dimension: Neural network expression rates for generalized polynomial chaos expansions in UQ
- Christoph Schwab and
- Jakob Zech
Vol. 17, No. 01
ANALYTIC REGULARITY AND POLYNOMIAL APPROXIMATION OF PARAMETRIC AND STOCHASTIC ELLIPTIC PDE'S
- ALBERT COHEN,
- RONALD DEVORE, and
- CHRISTOPH SCHWAB
Vol. 09, No. 01
Deep ReLU networks and high-order finite element methods
Vol. 18, No. 05
VECTOR VALUED REPRODUCING KERNEL HILBERT SPACES OF INTEGRABLE FUNCTIONS AND MERCER THEOREM
Vol. 04, No. 04
Real-variable characterizations of Orlicz-slice Hardy spaces
- Yangyang Zhang,
- Dachun Yang,
- Wen Yuan, and
- Songbai Wang
Vol. 17, No. 04

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Analysis and Applications

AA - Top Downloaded Articles of 2024

LATEST ARTICLES

Optimal distributed subsampling for high-dimensional linear measurement error models via doubly bias-corrected score

Existence and multiplicity of solutions for Kirchhoff elliptic problems with nondegenerate points via nonlinear Rayleigh quotient in ℝN<math altimg="eq-00001.gif" display="inline"><msup><mrow><mi>ℝ</mi></mrow><mrow><mi>N</mi></mrow></msup></math>

Asymptotic behavior for nonlinear textiles with glued yarns

Soliton resolution for the modified short pulse equation with the weighted Sobolev initial data

Horocyclic harmonic Bergman spaces on homogeneous trees

L2<math altimg="eq-00001.gif" display="inline"><msup><mrow><mi>L</mi></mrow><mrow><mn>2</mn></mrow></msup></math> decay for large perturbations of viscous shocks for multi-D Burgers equation

Author Services

Check out ourScience Writing and Profession Development Guide Collection

MOST READ ARTICLES The most read articles in the last 3 years

Recent advances in asymptotic analysis

Approximating functions with multi-features by deep convolutional neural networks

Deep ReLU networks and high-order finite element methods

Error bounds for approximations with deep ReLU neural networks in Ws,p<math altimg="eq-00001.gif" display="inline"><msup><mrow><mi>W</mi></mrow><mrow><mi>s</mi><mo class="MathClass-punc">,</mo><mi>p</mi></mrow></msup></math> norms

Exact reconstruction of extended exponential sums using rational approximation of their Fourier coefficients

Deep learning in high dimension: Neural network expression rates for generalized polynomial chaos expansions in UQ

Existence of ground states for aggregation-diffusion equations

BiGCN: A bi-directional low-pass filtering graph neural network

Deep ReLU neural networks overcome the curse of dimensionality for partial integrodifferential equations

MOST CITED ARTICLES The most cited articles in the last 3 years. Source: Crossref

GLOBAL DISSIPATIVE SOLUTIONS OF THE CAMASSA–HOLM EQUATION

Deep vs. shallow networks: An approximation theory perspective

Deep distributed convolutional neural networks: Universality

Error bounds for approximations with deep ReLU neural networks in Ws,p<math altimg="eq-00001.gif" display="inline"><msup><mrow><mi>W</mi></mrow><mrow><mi>s</mi><mo class="MathClass-punc">,</mo><mi>p</mi></mrow></msup></math> norms

Deep learning in high dimension: Neural network expression rates for generalized polynomial chaos expansions in UQ

ANALYTIC REGULARITY AND POLYNOMIAL APPROXIMATION OF PARAMETRIC AND STOCHASTIC ELLIPTIC PDE'S

Deep ReLU networks and high-order finite element methods

VECTOR VALUED REPRODUCING KERNEL HILBERT SPACES OF INTEGRABLE FUNCTIONS AND MERCER THEOREM

Real-variable characterizations of Orlicz-slice Hardy spaces

Existence and multiplicity of solutions for Kirchhoff elliptic problems with nondegenerate points via nonlinear Rayleigh quotient in $ℝ^{N}$

$L^{2}$ decay for large perturbations of viscous shocks for multi-D Burgers equation

Check out our
Science Writing and Profession Development Guide Collection

MOST READ ARTICLES
The most read articles in the last 3 years

Error bounds for approximations with deep ReLU neural networks in $W^{s, p}$ norms

MOST CITED ARTICLES
The most cited articles in the last 3 years. Source: Crossref

Error bounds for approximations with deep ReLU neural networks in $W^{s, p}$ norms