scispace - formally typeset
Search or ask a question
Author

Sirajul Haq

Other affiliations: University of Liverpool
Bio: Sirajul Haq is an academic researcher from Ghulam Ishaq Khan Institute of Engineering Sciences and Technology. The author has contributed to research in topics: Nonlinear system & Finite difference. The author has an hindex of 18, co-authored 63 publications receiving 1024 citations. Previous affiliations of Sirajul Haq include University of Liverpool.


Papers
More filters
Journal ArticleDOI
TL;DR: In this paper, a mesh-free technique for the numerical solution of the regularized long wave (RLW) equation is presented, which is based on a global collocation method using the radial basis functions (RBFs).

129 citations

Journal ArticleDOI
TL;DR: In this paper, the radial basis functions (RBFs) approximation method is implemented for time fractional advection-diffusion equation on a bounded domain. And stability and convergence of the method is discussed.

90 citations

Journal ArticleDOI
TL;DR: In this article, a simple classical radial basis functions (RBFs) collocation (Kansa) method was proposed for numerical solution of the coupled Korteweg-de Vries (KdV) equations, coupled Burgers' equations, and quasi-nonlinear hyperbolic equations.
Abstract: This paper formulates a simple classical radial basis functions (RBFs) collocation (Kansa) method for the numerical solution of the coupled Korteweg-de Vries (KdV) equations, coupled Burgers’ equations, and quasi-nonlinear hyperbolic equations. Contrary to the mesh oriented methods such as the finite-difference and finite element methods, the new technique does not require mesh to discretize the problem domain, and a set of scattered nodes provided by initial data is required for realization of solution of the problem. Accuracy of the method is assessed in terms of the error norms L 2 , L ∞ , number of nodes in the domain of influence, time step length, parameter free and parameter dependent RBFs. Numerical experiments are performed to demonstrate the accuracy and robustness of the method for the three classes of partial differential equations (PDEs).

67 citations

Journal ArticleDOI
TL;DR: In this paper, radial basis function (RBFs) based mesh-free method is implemented to find numerical solution of the Kuramoto-Sivashinsky equations to demonstrate accuracy and robustness of the method for solving a class of nonlinear partial differential equations.

65 citations

Journal ArticleDOI
TL;DR: In this paper, a mesh-free collocation method using radial basis functions (RBFs) with first order accurate forward difference approximation is employed for obtaining meshfree solution of the problem.

57 citations


Cited by
More filters
Journal ArticleDOI
TL;DR: To the best of our knowledge, there is only one application of mathematical modelling to face recognition as mentioned in this paper, and it is a face recognition problem that scarcely clamoured for attention before the computer age but, having surfaced, has attracted the attention of some fine minds.
Abstract: to be done in this area. Face recognition is a problem that scarcely clamoured for attention before the computer age but, having surfaced, has involved a wide range of techniques and has attracted the attention of some fine minds (David Mumford was a Fields Medallist in 1974). This singular application of mathematical modelling to a messy applied problem of obvious utility and importance but with no unique solution is a pretty one to share with students: perhaps, returning to the source of our opening quotation, we may invert Duncan's earlier observation, 'There is an art to find the mind's construction in the face!'.

3,015 citations

Journal ArticleDOI
TL;DR: In this article, the effect of nonlinearities on harmonic wave propagation in one-dimensional nonlinear periodic structures is investigated through a novel perturbation analysis and accompanying numerical simulations, where several chain unit cells are considered featuring a sequence of masses connected by linear and cubic springs.
Abstract: Wave propagation in one-dimensional nonlinear periodic structures is investigated through a novel perturbation analysis and accompanying numerical simulations. Several chain unit cells are considered featuring a sequence of masses connected by linear and cubic springs. Approximate closed-form, first-order dispersion relations capture the effect of nonlinearities on harmonic wave propagation. These relationships document amplitude-dependent behavior to include tunable dispersion curves and cutoff frequencies, which shift with wave amplitude. Numerical simulations verify the dispersion relations obtained from the perturbation analysis. The simulation of an infinite domain is accomplished by employing viscous-based perfectly matched layers appended to the chain ends. Numerically estimated wavenumbers show good agreement with the perturbation predictions. Several example chain unit cells demonstrate the manner in which nonlinearities in periodic systems may be exploited to achieve amplitude-dependent dispersion properties for the design of tunable acoustic devices.

202 citations

Journal ArticleDOI
TL;DR: In this article, the authors used the Bernstein wavelet and Euler method to solve a nonlinear fractional predator-prey biological model of two species and compared the capability of the two methods.
Abstract: In this endeavour, Bernstein wavelet and Euler methods are used to solve a nonlinear fractional predator-prey biological model of two species. The theoretical results with their corresponding biological consequence due to Bernstein wavelet are considered and discussed. A test problem of predator-prey model with two different cases are examined to determined the capability of our proposed methods. We showed that the obtained solutions are the most powerful and, wherever it is possible the comparison, in a very good coincidence with the other numerical solution. Few numerical simulations are finding for predator and prey populations and new chaotic behaviours of predator-prey population model are also obtained by using the Euler method. Moreover, a comparison have been done between the capability of the Bernstein wavelet and the Euler approach. The numerical simulations and behaviours of Rabies model are depicted through graphically which is a special case of predator-prey model.

200 citations

Journal ArticleDOI
TL;DR: In this paper, an auto-regressive dense encoder-decoder convolutional neural network is proposed to solve and model non-linear dynamical systems without training data at a computational cost that is potentially magnitudes lower than standard numerical solvers.

199 citations