Khisamutdinov Al'fred Ibragimovich

Publications in Math-Net.Ru

1. On mathematical modeling of pulsed neutron-gamma log problems
   
   Matem. Mod., 26:6 (2014),  100–118
2. On reduction of computational cost of imitation Monte Carlo algorithms for modeling rarefied gas flows
   
   Matem. Mod., 23:9 (2011),  65–88
3. Statistical simulation of one type of pairs of random variables with the use of fictitious jumps
   
   Zh. Vychisl. Mat. Mat. Fiz., 47:1 (2007),  162–173
4. On two methods for reducing the complexity of Monte Carlo algorithms with continuous time for the Boltzmann equation
   
   Sib. Zh. Ind. Mat., 2:1 (1999),  185–195
5. The nonlinear Boltzmann equation, methods with “continuous time”, and some general constructions of Monte Carlo methods
   
   Sibirsk. Mat. Zh., 39:2 (1998),  456–473
6. The algorithms of the continuous time Monte Carlo
   
   Matem. Mod., 6:2 (1994),  47–60
7. Algorithms with fictitious collisions of the Monte Carlo method with continuous time for the Boltzmann equation
   
   Dokl. Akad. Nauk, 328:6 (1993),  662–665
8. “Non-symmetric” interactions in Monte Carlo methods with continuous time and approximation of Boltzmann equation
   
   Matem. Mod., 4:2 (1992),  110–119
9. Nonsimulation estimates in Monte Carlo methods
   
   Zh. Vychisl. Mat. Mat. Fiz., 32:1 (1992),  115–122
10. Algorithms with “different time coordinates” of Monte Carlo methods for a nonlinear “smoothed” Boltzmann equation
    
    Dokl. Akad. Nauk SSSR, 316:4 (1991),  829–833
11. Activation logging on $\mathrm{O}$, $\mathrm{Si}$ and $\mathrm{Al}$ and the definition of fluid type in quartzite-feldspar reservoir
    
    Dokl. Akad. Nauk SSSR, 309:3 (1989),  587–590
12. Choosing the “Russian roulette and splitting” parameters for Monte Carlo computation of radiation transfer
    
    Zh. Vychisl. Mat. Mat. Fiz., 29:2 (1989),  286–293
13. Simulation statistical modeling of the kinetic equation of rarefied gases
    
    Dokl. Akad. Nauk SSSR, 302:1 (1988),  75–79
14. A simulation method for statistical modeling of rarefied gases
    
    Dokl. Akad. Nauk SSSR, 291:6 (1986),  1300–1304
15. The Monte Carlo method with additional random sampling for calculating the flow of particles “at a point”
    
    Zh. Vychisl. Mat. Mat. Fiz., 25:8 (1985),  1155–1163
16. Calculation by Monte Carlo methods of derivatives of linear flow functionals with respect to the parameters of surface
    
    Zh. Vychisl. Mat. Mat. Fiz., 21:3 (1981),  787–790
17. Unbiased random estimates of iterations of an integral operator with power nonlinearity
    
    Zh. Vychisl. Mat. Mat. Fiz., 21:2 (1981),  363–370
18. Majorizability of the “collision” estimate
    
    Dokl. Akad. Nauk SSSR, 241:1 (1978),  37–39
19. Importance sampling and the simple Monte Carlo method in the calculation of the sum of a Neumann series
    
    Zh. Vychisl. Mat. Mat. Fiz., 17:3 (1977),  585–590
20. A bounded variance estimator for computing by the Monte Carlo method the flux of particles at a point
    
    Zh. Vychisl. Mat. Mat. Fiz., 16:5 (1976),  1252–1263
21. Estimates with minimal absolute moments for the calculation by the Monte Carlo method of the sum of a Neumann series
    
    Dokl. Akad. Nauk SSSR, 212:2 (1973),  308–311
22. A type of “single” class estimators
    
    Zh. Vychisl. Mat. Mat. Fiz., 13:3 (1973),  770–775
23. Behaviour of the variance in the measurement of the distribution of the mean free path
    
    Zh. Vychisl. Mat. Mat. Fiz., 12:1 (1972),  257–262
24. On the decrease of the dispersion of a probability estimate by the Monte Carlo method
    
    Zh. Vychisl. Mat. Mat. Fiz., 10:6 (1970),  1547–1549
25. A single class of estimators for the Monte Carlo calculation of functionals of the solution of an integral equation of the second kind
    
    Zh. Vychisl. Mat. Mat. Fiz., 10:5 (1970),  1269–1280
26. Importance sampling in transport theory
    
    Zh. Vychisl. Mat. Mat. Fiz., 10:4 (1970),  999–1005
27. Estimation of functionals of the solution of the conjugate radiative transfer equation by the Monte Carlo method
    
    Zh. Vychisl. Mat. Mat. Fiz., 8:2 (1968),  467–471
28. Effectiveness of the method of mathematical expectations for a certain class of problems
    
    Zh. Vychisl. Mat. Mat. Fiz., 7:4 (1967),  946–953