Monte Carlo solution of Cauchy problem for a nonlinear parabolic equation
A Rasulov, G Raimova, M Mascagni Mathematics and Computers in Simulation 80 (6), 1118-1123    28
2010
 
Monte Carlo Methods for Solution Linear and Nonlinear Boundary Value Problems
AS Rasulov, M Mascagni, G Raimova
University of World Economy and Diplomacy    10
2006
 
Ehtimollar nazariyasi va matematik statistika
AS Rasulov, GM Raimova, XK Sarimsakova
Т.: Oʻzbekiston faylasuflari milliy jamiyati nashriyoti 272    8
2006
 
Monte-Carlo Method for Solving Nonlinear Problems
AS Rasulov
Tashkent: Fan, 104    6
1992
 
A new algorithm for system of integral equations
A Rasulov, A Kilicman, Z Eshkuvatov, G Raimova
Abstract and Applied Analysis 2014    4
2014
 
Quasirandom sequences in branching random walks
A Rasulov, A Karaivanova, M Mascagni
Walter de Gruyter 10 (3-4), 551-558    4
2004
 
Probabilistic Approach to the Asynchronous Iteration
A Rasulov
Journal of Applied Mathematics and Physics 2, 32-40    3
2014
 
Monte Carlo method for solution of initial–boundary value problem for nonlinear parabolic equations
A Rasulov, G Raimova
Mathematics and Computers in Simulation 146, 240-250    2
2018
 
Evaluation the Price of Multi-Asset Rainbow Options Using Monte Carlo Method
A Rasulov, R Rakhmatov, A Nafasov
Journal of Applied Mathematics and Physics 4 (1), 178-182    2
2016
 
Monte Carlo Method for Pricing of Multi-Asset Rainbow Options
A Rasulov, M Rakhmatov
Recent Advances in Mathematical Research and Computer Science Vol. 10, 70-76        2022
 
Flow in a channel with porous insert
A Rasulov, U Dalabaev
IOP Conference Series: Earth and Environmental Science 990 (1), 012027        2022
 
Quasi random sequences for calculation multidimensional integrals and parallel algorithms
A Rasulov, M Bakoev, M Rakhmatov
AIP Conference Proceedings 2365 (1), 020013        2021
 
Monte Carlo methods for pricing weather derivatives
A Rasulov, G Raimova
AIP Conference Proceedings 2365 (1), 020017        2021
 
Computational technology for improving the quality of difference schemes based on moving nodes
A Rasulov, U Dalabaev
Journal of Physics: Conference Series 1860 (1), 012026        2021
 
Том. 1860. International Conference on Applied and Practical Sciences, ICAPS 2021.-Сер. 1 International Conference on Applied and Practical Sciences, ICAPS 2021
SS Zh, KZH Zhumabayeva, KN Makasheva, G Kairgaliyeva, BS Nigmetov, ...        2021
 
Probabilistic models for numerical solution of boundary value problems for a system of elliptic equations
A Rasulov, G Raimova
Global and Stochastic Analysis 8 (3), 81-90        2021
 
Solution of some semi-linear Dirichlet problem by Monte Carlo method
A Rasulov, G Raimova, M Bakoev
AIP Conference Proceedings 2293 (1), 420107        2020
 
The Probabilistic models of solution boundary value problem for system equations of elliptic type
AS Rasulov, GM Raimova
Modern stochastic models and problems of actuarial mathematics, 45-48        2020
 
Monte Carlo Solution of Dirichlet Problem for Semi-linear Equation
A Rasulov, G Raimova, M Bakoev
International Conference on Finite Difference Methods 11386 (1), 443-451        2019
 
Monte Carlo method for the calculation the price of multi-asset options
AS Rasulov, MT Bakoyev, MY Rahmatov
AIP Conference Proceedings 1978 (1), 460006        2018
 
ASYNCHRONOUS ITERATION AND MONTE CARLO METHOD FOR SOLUTION SYSTEM OF LINEAR EQUATIONS
AS Rasulov, BB Anvarjonov
TOSHKENT SHAHRIDAGI TURIN POLITEXNIKA UNIVERSITETI, 286        2017
 
Monte Carlo solution of the Neumann problem for the nonlinear Helmholtz equation
A Rasulov, G Raimova
Mathematics and Computers in Simulation 117, 1-9        2015
 
Probabilistic Representation of the Solution of the Initial-Boundary Value Problem for the System of Parabolic Equations
GM Raimova
Theory of Probability & Its Applications 57 (4), 688-697        2013
 
SOLUTION OF INITIAL-BOUNDARY VALUE PROBLEMS FOR NONLINEAR PARABOLIC EQUATIONS BY METHOD OF STATISTICAL MODELING
S Formanov, A Rasulov, G Raimova
Proceedings of IAM 1 (2), 203-217        2012
 
Lecture on Theory of Probability and Mathematical Statistics
AS Rasulov
Universitet Mirovoĭ Ėkonomiki i Diplomatii        2002
 
Mathematical Modeling for Economic Policy Analysis
AS Rasulov
Universitet Mirovoĭ Ėkonomiki i Diplomatii        2002
 
Teoriya veroyatnosti i matematicheskaya statistika
AS Rasulov, GM Raimova
Universitet Mirovoĭ Ėkonomiki i Diplomatii        2002
 
Solution of an initial-boundary problem for the system of parabolic equations by Monte-Carlo methods
AS Rasulov, GM Raimova
Zeitschrift für angewandte Mathematik und Mechanik 76, 543-544        1996
 
Izbrannye algoritmy metoda Monte-Karlo
SM Ermakov, AS Rasulov
Universitet        1992
 
MONTE–CARLO SOLUTION OF A LINEAR EQUATION
AS Rasulov
Monte Carlo Methods And Parallel Algorithms-International Youth Workshop, 103        1991
 
A simplest probability model of asynchronous iterations
SM Ermakov, AS Rasulov
Fundamentals of Computation Theory: International Conference FCT'87 Kazan …        1987

ОАК журналларида

1.Расулов А.С., Раимова Г.М.  «Метод статистического моделирования для решения одной нелинейной задачи»  Журнал «Проблемы вычислительной и прикладной математики»  (Ҳисоблаш ва амалий математика муаммолари), ТУИТ, 2017, № 4 (10), стр 45-53
2.    Rasulov A.S., Nishimura Sh. The collaboration steps for the development of distance learning between the UWED and Waseda university. Journal of International Relation, Uwed press, 2018, N -3, p.45-49
3.    Расулов А. С., Бакоев М.Т.,Утабов У. //Моделирование псевдослучайных последовательностей и применения для вычисления многомерных интегралов, «Проблемы вычислительной и прикладной математики»  (Ҳисоблаш ва амалий математика муаммолари), ТУИТ,  2018, №4, 61-66 стр.
4.    Расулов А. С., Бакоев М.Т.,Aхмедова Х. //Решение задачи Дирихле для уравнения Гельмгольца методом асинхронных итераций. «Проблемы вычислительной и прикладной математики»  (Ҳисоблаш ва амалий математика муаммолари), ТУИТ,  2018, №4,106-112 стр.
5.    A.S.Rasulov,  M.T.Bakoev., Monte Carlo approach to solution semi linear non isotropic diffusion equation , Uzbek Mathematical Journal, 2018, No 3, pp.1-9
6.    Расулов А. С., Бакоев М.Т.,Aхмедова Х. Параллельные методы и квази случайные последовательности для вычисления многомерных интегралов, Сонли усуллар ва амалий математика журнали, №4, 2020, 1-9 бет.

Дарслик ва Ўқув қўлланмалар

1.    Rasulov A., S.,  Dalaboev U.,  Muhamedov A.,   Miqdoriy usullar  asoslary,  Darslik, 2-нашр,  JIDU, 2016, 423 bet.
2.    Расулов А.С. , Далабоев У.    Математика. Ижтимоий гуманитар йуналишлар учун. 2018 й. Гриф олган. 21 босма табоқ,  222 бет
3.    Расулов А.С. , Далабоев У.    Миқдорий усуллар асослари. ХИМ йуналишлар учун. 2018 й.  24  босма табоқ,  372 бет (қайта ишланган нашр)
4.    Расулов А.С Раимова Г.М., Саримсакова Х.К. «Ehtimollar nazariyasi va matematik statistika», ОТМ учун дарслик (кайта ишланган нашр), Тошкент ш.,  2020 й. ЖИДУ босмахонаси, 320 бет.  ISBN 978-9943-340-71-8.
5.    Расулов А.С. , Далабоев У.    Иқтисодда миқдорий усуллар. ХИМ йуналишлар учун. 2020 й.  32  босма табоқ,  518 бет (қайта ишланган нашр), Тошкент ш.,  ЖИДУ 

Услубий қўлланма 

1.    Rasulov A. S.,   A new Monte Carlo algorithms for the system of integral equations, Proceedings of  V international conference  “Modern problems of Applied mathematics and information technology ,  Al-Khorazmy-2016, Bukhara, Uzbekistan, November  8 – 10, 2016,   P.   218-221 (http://www.al-khorezmiy.uz)

2.    Расулов А.С.,  «Об-ҳаво деривативларини иқтисодий рискларни баҳолашда молиявий активларнинг ўрни», “Ўзбекистон Республикаси ташқи иқтисодий фаолиятининг ривожланиши ва иқтисодиёти модернизацияси: методологик ёндашувлар, тенденциялар ва истиқболлари” Республика илмий конференциясининг материаллари,
ЖИДУ, 2017, 17 январь

3.    Расулов А., Абдужалилова Г.  “Иқтисодиётда тизимли таҳлил ва қарорлани қабул қилиш усулларининг ўрни”, “Жаҳон иқтисодиёти барқарор ривожланишини таъминланишининг долзарб масалалари” Республика илмий-амалий анжумани материаллари, ЖИДУ, 14 март, 2017

4.    Расулов А.С., «Актуальные проблемы и перспективы метода Монте Карло в развитии вычислительной математики»,  Труды республиканской школы семинара « Кубатурные формулы и их приложения», стр.15-24, 15-16 март, 2017г., Ташкент

5.    Rasulov A. S., Anvarjonov B.  Asynchronous iteration and Monte Carlo method for solution system of linear equations, Proceedings of International conference on “Modern problems dynamic system and its application”, Turin university of Tashkent, 5 of May 2017, p. 286-288

6.     A. S. Rasulov ,G.M Raimova, M.T. Bakoyev,  M.Y. Rahmatov  “Monte Carlo Method for Calculation the Price of Multi-Asset Options”, Uzbek-Israel international conference, 6-10 October 2017, UzNU

7.     Rasulov A. S., Rahmatov M.  “Ob-havoning paxta ko’rsatkichlariga  ta’sirini bashorat qiluvchi ekonometric modellar”, 4-чи илмий амалий конференция “Статистика ва уни қўлланилиши” 19-20 октябрь 2017 йил, ЎзМУ

8.    Rasulov A., Bakoev M., Monte Carlo solution of boundary value problem for nonlinear degenerate parabolic differential equation., Proceedings of 12th Workshop on Statistics, Mathematics and Computation, 9-10 of November, 2018, Coveliha, Portugal, p.87

9.    Rasulov A., Raimova G., Bakoev M., Monte Carlo Solution of Dirichlet Problem for Semi-linear Equation. Proceedings of  the Seventh International Conference on Finite Difference Methods: Theory and Applications (FDM: T&A’18), Lozenetz, Bulgaria, June 15-16, 2018.

10.    Rasulov A., Raimova G., Bakoev M., Solition of some Semi-linear Dirichlet Problem by Monte Carlo method. Proceedings of Int. conf.  Actual prolems of applied mathematics and ICT,. Tashkent,  2018y. P.110

11.      Rasulov A.S., Bakoev M.N., Axmedova X.I.  Application of asynchronous iterations to Dirichlet problem for Helmholtz equations. Proceedings of Int. conf.  Actual prolems of applied mathematics and ICT,. Tashkent,  2018y. P.109

12.     Rasulov A.S., Bakoev M.N., Rahmatov M.Y., Ulmas N. Monte Carlo simulation for estimating the price of weather derivatives. Proceedings of Int. conf.  Actual prolems of applied mathematics and ICT,. Tashkent, 2018y. P.110.

13.     Rasulov A.S., Utabov U.A. Simulation of quasi-random sequences and its application for calculation multidimensional integrals. Proceedings of Int. conf.  Actual prolems of applied mathematics and ICT,. Tashkent,  2018y. P.111

14.    Расулов А.С., Рахматов М.Ю. Математические модели погодных производных и их применение. Труды Международного научного форума «Математические модели гуманитарных, естественнонаучных процессов: проблемы, решения, перспективы». Москва,  18 апреля 2018 года  70-72 стр.

15.     Расулов А.С.,  Бакоев М.Т., Ахмедова Х. Вероятностные модели асинхронных алгоритмов. Труды Международного научного форума «Математические модели гуманитарных, естественнонаучных процессов: проблемы, решения, перспективы». Москва,  18 апреля 2018 года  68-70 стр.

16.    Bakoev M., Rasulov A.S., Degenerate diffusion processes and parabolic partial differential equations with applications, Труды Республиканской научной конференции «Современные проблемы теории вероятностей и математической статистики», 2019, НУУз.,  4 стр. 

17.    Rasulov A., Raimova G. Monte Carlo methods for pricing weather derivatives.// Uzbekistan-Malaysia International Online Conference on "Computational Models and Technologies", (CMT2020), 24-25 August 2020, Tashkent, Uzbekistan National University of Uzbekistan (NUUz). Abstractbook-CMT2020, 27-28 pp.

18.    Bakoev M.T., Rasulov A.S., Raimova G.M.,Rakhmatov M.Y. Pricing Asian Options using Monte Carlo Simulation. Материалы научной конференции «Современные проблемы стохастического анализа, посвященной 100 летию академика С.Х.Сираждинова». 21-22 сентября 2020 г., Ташкент. 30-35 стр.

19.    .A.Rasulov, M.Bakoev,M.Rahmatov Parallel algoritms and quasi random sequences for calculationsmulti dimensional integrals. Abstracts of Uzbekistan-Malasia international online conference COMPUTATIONAL MODELS AND TECHNOLOGIES, August 24-25,2020, p. 30-31.

20.    Rasulov A., Raimova  G. Probabilistic models of solution boundary value problem for system equations of elliptic type, Proceedings of international conference  “Modern stochastic models and problems of actuarial mathematics” , September 25, 2020, p. 50-58

21.    A. Rasulov, Computational Technology for Constructing an Approximate Solution of Differential Equations and Improving the Quality of Difference Schemes based on Moving Nodes, International Conference on Applied and Practical Sciences ICAPS (2021) Journal of Physics: Conference Series 1860,The 3rd The International Conference on Applied and Practical Sciences , Kuala Lumpur, Malaysia

22.     A.S. Rasulov,G.M. Raimova, The Monte Carlo solution of nonlinear problems in engineering, Proceedings of International Conference on Basic Sciences, Engineering and Technology (ICBASET), August 25-28, 2022 - İstanbul, Turkey, P. 28

23.     A.S. Rasulov, Monte Carlo Algorithms for the Solution of Some Quasi-Linear Boundary Value Problems of Elliptical Type, Proceedings of International Conference on “Computational Models and Technologies”, CMT-2022, Malasia-Uzb, Tashkent, September 16-17, 2022, P. 31

24.     A.S. Rasulov,G.M. Raimova, Improving the Efficiency of Monte Carlo Algorithms for the Solution Boundary Value Problem of Elliptical Type, Abstracts of Communications- International Conference “Limit Theorems of Probability and Statistics”, September 26-28, 2022,  Russia-uzb. joint Int. conf ,Tashkent, P. 99

25.     A.S. Rasulov, G.M. Raimova, Improving Efficiency of Monte Carlo Algorithms for the Solution Dirichlet problems, International Conference “INFORMATION TECHNOLOGIES AND MATHEMATICAL MODELLING (IТММ – 2022)”, (http://itmmconf.tsu.ru/), October 25-29, 2022   (Russia-Uzb. joint Int. conf.)