In this paper, the computational method (CM) based on standard polynomials has been implemented to solve some nonlinear differential equations arising in engineering and applied sciences. Moreover, novel methods have developed study by orthogonal base functions, namely Hermite, Legendre, Bernstein polynomials. The problem is successfully converted into a algebraic system of equations, which are...

We present Skan (Skeleton analysis), a Python library for the analysis of the skeleton structures of objects. It was inspired by the "analyse skeletons" plugin for the Fiji image analysis software, but its extensive Application Programming Interface (API) allows users to examine and manipulate any intermediate data structures produced during the analysis. Further, its use of common Python data ...

The behaviour of laminar boundary layer flow field over a solid surface moving with constant speed plays a significant role in several applications of science and technology. This paper examines the steady, laminar incompressible boundary-layer flow of a viscous electrically conducting fluid past a moving wedge with suction (injection) in the presence of an applied magnetic field. The set of pa...

Den här artikeln introducerar Ernesto Laclaus teori om populism för den skan-dinaviska retorikforskningen i syfte att adressera en befintlig brist på begrepps liga resurser analysera populistiska artikulationer. syftar till förklara de retoriska processer inneboende varje politisk kamp såväl som förstå konfliktdimensionen konstitutiv demokratisk politik sådan. Detta perspektiv är relevant retorik...

Abstract The present work studies the effects of physical parameter characterizing laminar flow regime, namely Strouhal number, on evolution unsteady dynamic boundary-layer developed along a wedge surface. Similarity method is used to transform momentum equation dimensionless form. Using superposition between diffusion and convective flows solutions, an ad hoc velocity profile formula proposed....

Physics-informed neural networks (PINNs) are successful machine-learning methods for the solution and identification of partial differential equations. We employ PINNs solving Reynolds-averaged Navier–Stokes equations incompressible turbulent flows without any specific model or assumption turbulence by taking only data on domain boundaries. first show applicability laminar Falkner–Skan boundary...

A variant of the local correlation-based transition model (LCTM) ? is presented to account for prediction due stationary crossflow instabilities. The Tc1 criterion a approximation well-known C1 by Arnal (1984), evaluated locally through auxiliary functions expressed solution Falkner–Skan–Cooke (FSC) equations. criterion, originally proposed Menter and Smirnov (2014), uses wall-normal directiona...