Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/6756
Title: Efficient numerical algorithm for cascaded raman fiber lasers using a spectral method
Authors: Tarman, H.I.
Berberoglu, H.
Keywords: Boundary-value problems (BVPs)
Fiber Raman lasers (FRLs)
Spectral method
Approximate solution
Chebyshev-pseudospectral method
Computational effort
Degrees of freedom
Discretized problems
Fiber Raman lasers
First order systems
New approaches
Newton iterations
Newton methods
Numerical algorithms
Numerical simulation
Optimality
Raman fiber lasers
Spectral methods
System of differential equations
Two-point
Fiber lasers
Fibers
Lasers
Newton-Raphson method
Nonlinear equations
Spectroscopy
Ordinary differential equations
Abstract: Over recent decades, fiber Raman lasers (FRLs) have received much attention from researchers and have become a challenge for them both numerically and experimentally. The equations governing the FRLs are in the form of a first-order system of nonlinear two-point boundary-value ordinary differential equations. In this paper, an algorithm for solving this system of differential equations using a spectral method, namely Chebyshev pseudospectral method, is presented in detail and then numerical simulations are performed. The main advantage of the spectral methods is in their optimality in achieving high accuracy by using fewer degrees of freedom under suitable conditions. It is shown that the proposed spectral method in combination with the Newton method results in a considerable reduction in the size of the discretized problem and in the computational effort to achieve high accuracy. In this paper, a new approach for constructing an initial approximate solution for the Newton iteration is also presented. © 2009 IEEE.
URI: https://hdl.handle.net/11499/6756
https://doi.org/10.1109/JLT.2008.2007506
ISSN: 0733-8724
Appears in Collections:Fen-Edebiyat Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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