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ORCIDBehrouz Fathi Vajargah
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Journal Articles
- 2021
[j20]Behrouz Fathi-Vajargah, Mohammad Mirzazadeh, Sara Ghasemalipour
:
An efficient Monte Carlo simulation for new uncertain Heston-CIR hybrid model. Soft Comput. 25(13): 8539-8547 (2021)- 2020
- [j19]Behrouz Fathi-Vajargah, Zeinab Hassanzadeh:
Monte Carlo method for the real and complex fuzzy system of linear algebraic equations. Soft Comput. 24(2): 1255-1270 (2020) - 2019
- [j18]Sara Ghasemalipour, Behrouz Fathi-Vajargah:
Fuzzy simulation of European option pricing using mixed fractional Brownian motion. Soft Comput. 23(24): 13205-13213 (2019) - 2018
- [j17]Behrouz Fathi Vajargah, Mohadeseh Kanafchian, Vassil Alexandrov:
Image Encryption Based on Permutation and Substitution Using Clifford Chaotic System and Logistic Map. J. Comput. 13(3): 309-326 (2018) - [j16]Sara Ghasemalipour, Behrouz Fathi-Vajargah:
The mean chance of ultimate ruin time in random fuzzy insurance risk model. Soft Comput. 22(12): 4123-4131 (2018) - 2017
- [j15]Behrouz Fathi Vajargah, Mohadeseh Kanafchian:
Improved Markov Chain Monte Carlo method for cryptanalysis substitution-transposition cipher. Monte Carlo Methods Appl. 23(2): 147 (2017) - 2016
- [j14]Behrouz Fathi-Vajargah, Sara Ghasemalipour:
Random fuzzy numbers generation with cubic Hermit membership function and its application in simulation. Int. J. Comput. Sci. Math. 7(4): 301-311 (2016) - [j13]Behrouz Fathi Vajargah, Mohadeseh Kanafchian:
Improved Markov Chain Monte Carlo method for cryptanalysis substitution-transposition cipher. Monte Carlo Methods Appl. 22(4): 323-335 (2016) - 2015
- [j12]Behrouz Fathi Vajargah, Asghar Eskandari Chechaglou:
New Modified Scrambled Faure Sequences. Commun. Stat. Simul. Comput. 44(3): 666-682 (2015) - [j11]Behrouz Fathi Vajargah, Maryam Gharehdaghi:
Reducing Periodicity of Fuzzy Markov Chains Based on Simulation Using Halton Sequence. Commun. Stat. Simul. Comput. 44(8): 2169-2175 (2015) - 2013
- [j10]Behrouz Fathi Vajargah, Asghar Eskandari Chechaglou:
Optimal Halton Sequence via Inversive Scrambling. Commun. Stat. Simul. Comput. 42(2): 476-484 (2013) - 2011
- [j9]Behrouz Fathi Vajargah, Farshid Mehrdoust:
Partitioning Inverse Monte Carlo Iterative Algorithm for Finding the Three Smallest Eigenpairs of Generalized Eigenvalue Problem. Adv. Numer. Anal. 2011: 826376:1-826376:9 (2011) - [j8]Behrouz Fathi Vajargah, Farshid Mehrdoust:
Matrix balancing and robust Monte Carlo algorithm for evaluating dominant eigenpair. Comput. Sci. J. Moldova 18(3): 355-366 (2011) - [j7]Behrouz Fathi Vajargah, Farshid Mehrdoust:
New hybrid Monte Carlo methods and computing the dominant generalized eigenvalue. Int. J. Comput. Math. 88(12): 2567-2574 (2011) - 2008
- [j6]Behrouz Fathi Vajargah:
Stochastic inverse matrix computation with minimum variance of errors. Appl. Math. Comput. 199(1): 181-185 (2008) - 2007
- [j5]Behrouz Fathi Vajargah:
New advantages to obtain accurate matrix inversion. Appl. Math. Comput. 189(2): 1798-1804 (2007) - [j4]Behrouz Fathi Vajargah:
Different stochastic algorithms to obtain matrix inversion. Appl. Math. Comput. 189(2): 1841-1846 (2007) - [j3]Behrouz Fathi Vajargah:
A way to obtain Monte Carlo matrix inversion with minimal error. Appl. Math. Comput. 191(1): 225-233 (2007) - [j2]Behrouz Fathi Vajargah:
A new algorithm with maximal rate convergence to obtain inverse matrix. Appl. Math. Comput. 191(1): 280-286 (2007) - 2006
- [j1]Behrouz Fathi Vajargah, Kianoush Fathi Vajargah:
Parallel Monte Carlo computations for solving SLAE with minimum communications. Appl. Math. Comput. 183(1): 1-9 (2006)
Conference and Workshop Papers
- 2018
- [c4]Behrouz Fathi Vajargah, Vassil Alexandrov, Samaneh Javadi, Ali Hadian:
Novel Monte Carlo Algorithm for Solving Singular Linear Systems. ICCS (3) 2018: 202-206 - 2004
- [c3]Behrouz Fathi Vajargah:
Monte Carlo Method for Finding Bayesian Parameters Estimation. PDPTA 2004: 1535-1541 - [c2]Maryam Sharifdoost, Behrouz Fathi Vajargah:
Monte Carlo Simulation and Statistical Inference. PDPTA 2004: 1552- - 2000
- [c1]Ray Gallagher, Behrouz Fathi Vajargah:
Bayesian modelling of variability in expert to expert opinion using parallel Monte Carlo methods. PDPTA 2000
Coauthor Index
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