scholarly journals Parallel algorithms for the solving both of non-linear systems and initial-value problems for systems of ordinary differential equations on multi-core computers with processors Intel Xeon Phi

2018 ◽  
pp. 054-060
Author(s):  
T.O. Gerasimova ◽  
◽  
A.N. Nesterenko ◽  
2018 ◽  
Vol 3 (1) ◽  
pp. 167-174 ◽  
Author(s):  
P.K. Pandey

AbstractIn this article, we propose a new computational method for second order initial value problems in ordinary differential equations. The algorithm developed is based on a local representation of theoretical solution of the second order initial value problem by a non-linear interpolating function. Numerical examples are solved to ensure the computational performance of the algorithm for both linear and non-linear initial value problems. From the results we obtained, the algorithm can be said computationally efficient and effective.


2018 ◽  
Vol 11 (91) ◽  
pp. 4541-4548 ◽  
Author(s):  
Danilo Alonso Ortega Bejarano ◽  
Eduardo Ibarguen-Mondragon ◽  
Enith Amanda Gomez-Hernandez

2016 ◽  
Vol 9 (4) ◽  
pp. 619-639 ◽  
Author(s):  
Zhong-Qing Wang ◽  
Jun Mu

AbstractWe introduce a multiple interval Chebyshev-Gauss-Lobatto spectral collocation method for the initial value problems of the nonlinear ordinary differential equations (ODES). This method is easy to implement and possesses the high order accuracy. In addition, it is very stable and suitable for long time calculations. We also obtain thehp-version bound on the numerical error of the multiple interval collocation method underH1-norm. Numerical experiments confirm the theoretical expectations.


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