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

4 papers

math.PR2026

A New Modifications of the Milstein and Euler Methods and the Taylor-Ito Expansion for Ito Stochastic Differential Equations with Drift and Diffusion Coefficients Having Non-Differentiable or Singular Time-Dependent Multipliers

Dmitriy F. Kuznetsov, Mikhail D. Kuznetsov

The article presents a new modifications of the Milstein and Euler methods for systems of Ito stochastic differential equations with drift and diffusion coefficients having differe…

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 and 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…