2015
DOI: 10.1002/mma.3763
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An efficient pseudospectral method for numerical solution of nonlinear singular initial and boundary value problems arising in astrophysics

Abstract: In the manuscript, a pseudospectral method is developed for approximate and efficient solution of nonlinear singular Lane-Emden-Fowler initial and boundary value problems arising in astrophysics. In the proposed method, the Gauss pseudospectral method is utilized to reduce the problem to the solution of a system of algebraic equations. Furthermore, the Gauss pseudospectral method is developed for finding the first zero of the solution of this equation that gives the radius of the star, in which the numerous pr… Show more

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Cited by 15 publications
(9 citation statements)
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“…In problem (24), the decision variables are grouped in the matrices Y and U. Traditionally, we prefer the decision variables to be placed in a vector.…”
Section: Reformation Of the Resulted Mpcc To The Classical Formmentioning
confidence: 99%
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“…In problem (24), the decision variables are grouped in the matrices Y and U. Traditionally, we prefer the decision variables to be placed in a vector.…”
Section: Reformation Of the Resulted Mpcc To The Classical Formmentioning
confidence: 99%
“…where the decision variables are the elements of matrices Y and U. By looking at the constraints of problem (24), we see that the constraints (24b) and (24c) enforce non-positivity and the constraints (24d) enforce that the right-hand sides of the non-positive constraints (24b) and (24b) are complementary to each other. This type of constraints is called complementarity constraints [39].…”
Section: Summary Of the Discretizationmentioning
confidence: 99%
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“…60 In our simulations, we continued the iteration of fsolve until TolFun and TolX become less than 10 −12 . Using this solver, we can adjust the accuracy of the solution based on the two parameters TolFun and TolX, where the former specifies the termination tolerance on the function value and the later specifies the termination tolerance on the variables.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…Using this solver, we can adjust the accuracy of the solution based on the two parameters TolFun and TolX, where the former specifies the termination tolerance on the function value and the later specifies the termination tolerance on the variables. 60 In our simulations, we continued the iteration of fsolve until TolFun and TolX become less than 10 −12 .…”
Section: Numerical Resultsmentioning
confidence: 99%