G. Ryzhakov

发表

Resolvent limits of the quantum evolution of open systems

G. Ryzhakov, 2006 .

Function approximation using gradient information with application to parametric and stochastic differential equations

I. Oseledets, G. Ryzhakov, 2018, 1802.01542.

Constructive TT-representation of the tensors given as index interaction functions with applications

I. Oseledets, G. Ryzhakov, 2022, ICLR.

Black box approximation in the tensor train format initialized by ANOVA decomposition

I. Oseledets, G. Ryzhakov, A. Chertkov, 2022, ArXiv.

On the Strong Resolvent Convergence of the Schrödinger Evolution to Quantum Stochastics

A. Chebotarev, G. Ryzhakov, 2003 .

Numerical solution of diffraction problems using large matrix compression

I. Oseledets, A. Mikhalev, G. Ryzhakov, 2015, 2015 9th European Conference on Antennas and Propagation (EuCAP).

Optimization of Functions Given in the Tensor Train Format

I. Oseledets, G. Ryzhakov, A. Chertkov, 2022, ArXiv.

Optimal soil sampling design based on the maxvol algorithm

I. Oseledets, G. Ryzhakov, Anna Petrovskaia, 2021, ArXiv.

Two-phase approaches to optimal model-based design of experiments: how many experiments and which ones?

Charlie Vanaret, Jan Schwientek, Norbert Asprion, 2020, Comput. Chem. Eng..

Gradient Descent-based D-optimal Design for the Least-Squares Polynomial Approximation pdf

Ivan V. Oseledets, Vitaly P. Zankin, Gleb V. Ryzhakov, 2018, ArXiv.

PROTES: Probabilistic Optimization with Tensor Sampling

I. Oseledets, G. Ryzhakov, A. Chertkov, 2023, arXiv.org.

PROTES: Probabilistic Optimization with Tensor Sampling

I. Oseledets, G. Ryzhakov, A. Chertkov, 2023, ArXiv.

Estimation and forecast of regional competitiveness level

G. Ryzhakov, N. Moiseev, A. Ryzhakova, 2016 .

Measurement of stress distribution at the nanoscale: Towards stress nanotomography

J. Sort, G. Ryzhakov, E. V. Dubrovin, 2022, Journal of the Mechanics and Physics of Solids.