Dr. Fazlollah Soleymani
East China Normal University, Shanghai, China
+1
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Academic Career Length
17Years (2010-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 January 2012 in Computers & Mathematics with Applications
Journal Article
NRNavid Razmjooy
Navid RazmjooyBMB. Somayeh Mousavi
B. Somayeh Mousavi
Fazlollah Soleymani2 March 2013 in Optimization Letters
Journal Article
1 October 2012 in Applied Mathematics and Computation
Journal Article
1 January 2012 in Journal of Applied Mathematics
Journal Article
HMHengameh Montazeri
Hengameh Montazeri
Fazlollah SoleymaniSSStanford Shateyi
Stanford ShateyiSMSandile Sydney Motsa
Sandile Sydney Motsa
We consider a system of nonlinear equationsF(x) = 0. A new iterative method for solving this problem numerically is suggested. The analytical discussions of the method are provided to reveal its sixth order of convergence. A discussion on the efficiency index of the contribution with comparison to the other iterative methods is also given. Finally, numerical tests illustrate the theoretical aspects using the programming package Mathematica.
1 February 2013 in Mathematical and Computer Modelling
Journal Article
NRNavid Razmjooy
Navid RazmjooyBMB. Somayeh Mousavi
B. Somayeh Mousavi
Fazlollah Soleymani6 October 2012 in Neural Computing and Applications
Journal Article
NRNavid Razmjooy
Navid RazmjooyBMB. Somayeh Mousavi
B. Somayeh Mousavi
Fazlollah SoleymaniMKM. Hosseini Khotbesara
M. Hosseini Khotbesara
About Me
Dr. Fazlollah Soleymani pursued a postdoctoral fellowship at the Polytechnic University of Valencia, Spain, under the Marie Curie Action—FP7 scholarship. In 2017, he began his work at the Institute for Advanced Studies in Basic Sciences (IASBS) in Iran. Subsequently, in 2023, he joined East China Normal University in Shanghai, China, as a research associate. His primary research interests lie in computational mathematics. His recent work encompasses various problem domains, including RBF(-HFD) meshfree schemes for financial partial (integro-) differential equations, high-order iterative methods, numerical solutions of stochastic ODEs, risk management using various risk measures, and the application of machine learning in finance.