Методы Монте-Карло и приложения 2026

Conference Topics

1. Error estimation, computational complexity of Monte Carlo methods, and algorithm optimization
2. Simulation of random variables, random and pseudorandom number generators
3. Simulation of random processes and fields
4. Integrals and integral equations
5. Kinetic equations, Boltzmann equations
6. Solution of boundary value problems in mathematical physics
7. Radiation transport, atmospheric optics
8. Stochastic optimization and artificial intelligence
9. Stochastic methods in linear algebra
10. Stochastic models of natural processes
11. Solving stochastic differential equations, financial mathematics
12. Applications in natural sciences
13. Simulation modeling and queueing theory
14. Quantum computing
15. Applied software packages, supercomputing
16. Metropolis method in statistical physics
17. Statistical methods for solving inverse problems