Behzad Nemati Saray

Dr. Behzad Nemati Saray


Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2010 in Computers & Mathematics with Applications
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Journal Article
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MLMehrdad Lakestani
Mehrdad Lakestani
BSBehzad Nemati Saray
Behzad Nemati Saray

1 April 2011 in Journal of Computational and Applied Mathematics
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Journal Article
Closed access
MLMehrdad Lakestani
Mehrdad Lakestani
BSBehzad Nemati Saray
Behzad Nemati Saray
MDMehdi Dehghan
Mehdi Dehghan


1 December 2018 in Powder Technology
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Journal Article
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SSS. Hadi Seyedi
S. Hadi Seyedi
BSBehzad Nemati Saray
Behzad Nemati Saray
Ali RamazaniAli Ramazani
Ali Ramazani

14 August 2013 in Mathematical Methods in the Applied Sciences
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MDMehdi Dehghan
Mehdi Dehghan
BSBehzad Nemati Saray
Behzad Nemati Saray
MLMehrdad Lakestani
Mehrdad Lakestani

4 April 2022 in BIT Numerical Mathematics
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MAMohammad Zhian Asadzadeh
Mohammad Zhian Asadzadeh
BSBehzad Nemati Saray
Behzad Nemati Saray
In this paper we deal with construction and analysis of a multiwavelet spectral element scheme for a generalized Cauchy type problem with Caputo fractional derivative. Numerical schemes for this type of problems, often suffer from the draw-back of spurious oscillations. A common remedy is to render the problem to an equivalent integral equation. For the generalized Cauchy type problem, a corresponding integral equation is of nonlinear Volterra type. In this paper we investigate wellposedness and convergence of a stabilizing multiwavelet scheme for a, one-dimensional case (in [a, b] or [0, 1]), of this problem. Based on multiwavelets, we construct an approximation procedure for the fractional integral operator that yields a linear system of equations with sparse coefficient matrix. In this setting, choosing an appropriate threshold, the number of non-zero coefficients in the system is substantially reduced. A severe obstacle in the convergence analysis is the lack of continuous derivatives in the vicinity of the inflow/ starting boundary point. We overcome this issue through separating a J (mesh)-dependent, small, neighborhood of a (or origin) from the interval, where we only take $$L_2$$ L 2 -norm. The estimate in this part relies on Chebyshev polynomials, viz. As reported by Richardson( Chebyshev interpolation for functions with endpoint singularities via exponential and double-exponential transforms, Oxford University, UK, 2012) and decreases, almost, exponentially by raising J. At the remaining part of the domain the solution is sufficiently regular to derive the desired optimal error bound. We construct such a modified scheme and analyze its wellposedness, efficiency and accuracy. The robustness of the proposed scheme is confirmed implementing numerical examples.