English: MCMA - 2026

International conference
"Monte Carlo methods and applications" 2026

News

02.03.26

Registration fee.

For foreign online participants no registration fee is required.

Other foreign participants: please contact with organising committee.

 

26.09.25

We start working on organizing the conference.

 

 

.
 

Important dates
  • Website registration and abstract submission deadline
             June 1, 2026
  • Notification of acceptance
             June 20 – July 1, 2026
  • Workdays of the conference
           October 5 – 9, 2026
              
     

     Международный математический центр ИМ СО РАН

Abstracts

 Participants are invited to submit their abstracts in Russian or English of less than 2000 symbols (approximately, half page of A4) in text form (i.e., without big formulae, pictures and tables).

 You can submit it here or by email mc2026@sscc.ru.

 The book of abstracts will be published in electronic format.

Format of the Conference

 The conference will be held in a hybrid format (off-line and on-line).

Conference languages: Russian and English.

The quantity of registration fee is not available now but will be apear soon.


 

   

 

.


 


Conference topics

 

  1. Error estimation, computational complexity of Monte Carlo methods,  and algotithm 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, Boltsman equations;
  6. Random walk methods for 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. Stochastic differential equations, financial nathematics;
  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