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M. Kuznetsov

3 papers hereh-index 568 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • math.PR3
same name
  • M. Kuznetsov — 29 papers, h 17
  • M. Kuznetsov — 7 papers, h 5
  • M. Kuznetsov — 5 papers, h 2
  • M. Kuznetsov — 3 papers, h 7
  • M. Kuznetsov — 3 papers, h 1
  • M. Kuznetsov — 2 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedStochastic Differential Equations: Theory and Practice of Numerical Solution. With Programs on PYTHON and MATLAB

20 citations · 24 across the 2 of their papers we have counts for

collaborators

3 papers

math.PR2020★ 4 cited

Optimization of the Mean-Square Approximation Procedures for Iterated Ito Stochastic Integrals of Multiplicities 1 to 5 from the Unified Taylor-Ito Expansion Based on Multiple Fourier-Legendre Series

Mikhail D. Kuznetsov, Dmitriy F. Kuznetsov

The article is devoted to optimization of the mean-square approximation procedures for iterated Ito stochastic integrals of multiplicities 1 to 5. The mentioned stochastic integral…

math.PR2020

Implementation of Strong Numerical Methods of Orders 0.5, 1.0, 1.5, 2.0, 2.5, and 3.0 for Ito SDEs with Non-Commutative Noise Based on the Unified Taylor-Ito and Taylor-Stratonovich Expansions and Multiple Fourier-Legendre Series

Mikhail D. Kuznetsov, Dmitriy F. Kuznetsov

The article is devoted to the implementation of strong numerical methods with convergence orders 0.5, 1.0, 1.5, 2.0, 2.5, and 3.0 for Ito stochastic differential equati…

math.PR2020★ 20 cited

Stochastic Differential Equations: Theory and Practice of Numerical Solution. With Programs on PYTHON and MATLAB

Dmitriy F. Kuznetsov, Mikhail D. Kuznetsov

This monograph is devoted to the problem of numerical integration of stochastic differential equations (SDEs), mainly Ito SDEs. More precisely, the book mainly discusses high-order…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.