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Farshid Mehrdoust

Work place: Faculty of Mathematical Sciences, Department of Applied Mathematics, University of Guilan, Rasht, Iran

E-mail: fmehrdoust@guilan.ac.ir

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Research Interests: Applied computer science, Computational Mathematics, Computer systems and computational processes, Computer Architecture and Organization, Computer Animation, Theoretical Computer Science, Mathematics

Biography

Farshid Mehrdoust: Assistant Professor of the Department of Applied Mathematics and Computer Science, Faculty of Mathematical Science, University of Guilan, Rasht, Iran.

Author Articles
Accelerated Simulation Scheme for Solving Financial Problems

By Farshid Mehrdoust Kianoush Fathi Naghmeh Saber

DOI: https://doi.org/10.5815/ijitcs.2014.04.05, Pub. Date: 8 Mar. 2014

The Monte Carlo simulation method uses random sampling to study properties of systems with components that behave in a random state. More precisely, the idea is to simulate on the computer the behavior of these systems by randomly generating the variables describing the behavior of their components. In this paper, we propose an efficient and reliable simulation scheme based on Monte Carlo algorithm and combining two variance reduction procedures. We simulate a European option price numerically using the proposed simulation scheme.

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