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Finding Roots of Nonlinear Equation for Optoelectronic Device
by
Rashid, Ahmed
, Rasheed, Mohammed
, Alabdali, Osama
, Rashid, Taha
, Shihab, Suha
in
absolute error
/ Algorithms
/ Dekker’s Formula
/ f(x) = 0
/ Iterative methods
/ Linear functions
/ Load resistance
/ Nonlinear equations
/ Numerical methods
/ Optoelectronic devices
/ Photovoltaic cells
/ Physics
/ Predictor-corrector methods
/ Predictor-Corrector Type (A1)
/ Predictor-Corrector Type (A2)
/ roots of the equation
2021
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Finding Roots of Nonlinear Equation for Optoelectronic Device
by
Rashid, Ahmed
, Rasheed, Mohammed
, Alabdali, Osama
, Rashid, Taha
, Shihab, Suha
in
absolute error
/ Algorithms
/ Dekker’s Formula
/ f(x) = 0
/ Iterative methods
/ Linear functions
/ Load resistance
/ Nonlinear equations
/ Numerical methods
/ Optoelectronic devices
/ Photovoltaic cells
/ Physics
/ Predictor-corrector methods
/ Predictor-Corrector Type (A1)
/ Predictor-Corrector Type (A2)
/ roots of the equation
2021
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Do you wish to request the book?
Finding Roots of Nonlinear Equation for Optoelectronic Device
by
Rashid, Ahmed
, Rasheed, Mohammed
, Alabdali, Osama
, Rashid, Taha
, Shihab, Suha
in
absolute error
/ Algorithms
/ Dekker’s Formula
/ f(x) = 0
/ Iterative methods
/ Linear functions
/ Load resistance
/ Nonlinear equations
/ Numerical methods
/ Optoelectronic devices
/ Photovoltaic cells
/ Physics
/ Predictor-corrector methods
/ Predictor-Corrector Type (A1)
/ Predictor-Corrector Type (A2)
/ roots of the equation
2021
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Finding Roots of Nonlinear Equation for Optoelectronic Device
Journal Article
Finding Roots of Nonlinear Equation for Optoelectronic Device
2021
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Overview
New three iterative methods in order to solve non-linear problems for PV cell equations with various data of R (load resistance) have been investigated. A series of hybrid algorithms Newton’s, Predictor-Corrector Type (A1), Predictor-Corrector Type (A2) and Dekker’s are implemented to obtain approximate solutions for non-linear functions. The purpose of the present paper is to analysis on numerical comparison between the standard Newton’s algorithm with A1, A2 and DM algorithms. It is evidenced that these methods have nearly eight computations while; the proposed method has six computations per iteration. The Numerical and illustrative results reveal that the new suggested technique (DM) is more accurate, least iterations for convergence than other numerical methods and a computational Matlab 18a is used for this paper.
Publisher
IOP Publishing
Subject
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