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Discrete least squares polynomial approximation with random evaluations − application to parametric and stochastic elliptic PDEs

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A decomposition of multicorrelation sequences for commuting transformations along primes

Florian Karl Richter

A decomposition of multicorrelation sequences for commuting transformations along primes, Discrete Analysis 2021:4, 27 pp. Szemerédi's theorem asserts that for every positive integer

k

and every

\delta>0

there exists

n

such that every subset of ${1, ...

2021

Discrete least squares polynomial approximation with random evaluations − application to parametric and stochastic elliptic PDEs

Graph Chatbot

Chattez avec Graph Search

Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems

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A decomposition of multicorrelation sequences for commuting transformations along primes

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Normalized Gaussian path integrals

Frequency-Domain Diffusion Adaptation Over Networks

Least-Squares Padé approximation of parametric and stochastic Helmholtz maps

Strictly Real Fundamental Theorem Of Algebra Using Polynomial Interlacing

A decomposition of multicorrelation sequences for commuting transformations along primes

Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems

Superluminal Motion-Assisted Four-Dimensional Light-in-Flight Imaging

Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates

Is there an analog of Nesterov acceleration for gradient-based MCMC?

Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections