Title
Stochastic approach for the solution of multi-pantograph differential equation arising in cell-growth model
Abstract
In this paper, a computational technique is introduced for the solution of the first order multi-pantograph differential equation (MPDE) through some well-known optimization algorithms like sequential quadratic programming (SQP) and Active Set Technique (AST). Furthermore, artificial neural network (ANN) is used for networking of the first order multi-pantograph differential equation in used to provide mathematical model based on unsupervised error for equation. Moreover, mathematical modeling has been performed perfectly through multi-runs for simulation to justify the better convergence of the solutions. Also, two examples are presented to exhibit the aptitude of the method SQP and AST. The comparative study will be made with reported techniques such as variational iteration technique (VIT) 6] and collocation based on Bernstein polynomial method (BCM) 6].
Year
DOI
Venue
2015
10.1016/j.amc.2015.04.001
Applied Mathematics and Computation
Keywords
Field
DocType
Fitness function,Log-sigmoid function,Multi-pantograph differential equation
Convergence (routing),Order of accuracy,Differential equation,Mathematical optimization,Mathematical analysis,Algorithm,Bernstein polynomial,Artificial neural network,Sequential quadratic programming,Mathematics,Universal differential equation,Collocation
Journal
Volume
Issue
ISSN
261
C
0096-3003
Citations 
PageRank 
References 
7
0.53
13
Authors
2
Name
Order
Citations
PageRank
Iftikhar Ahmad115627.06
Areej Mukhtar270.53