International Journal of Neutrosophic Science
  IJNS
  2690-6805
  2692-6148
  
   10.54216/IJNS
   https://www.americaspg.com/journals/show/3546
  
 
 
  
   2020
  
  
   2020
  
 
 
  
   On the Numerical Approximation and Optimization Techniques for Solving an Inverse Cauchy Problem of Viscous-Burgers’ Equation
  
  
   Baquba Technical Institute, Middle Technical University (MTU), Baghdad, Iraq
   
    Mohammed
    Mohammed
   
   Collage of Administration and Economics, University of Baghdad, Iraq
   
    Faris M.
    Alwan
   
   Department of Mathematics, College of Education for pure science, University of Anbar, Iraq
   
    Alaa Adnan
    Auad
   
  
  
   This paper deals with some inverse problems for nonlinear time-dependent PDEs in one spatial dimension, we investigate an inverse Cauchy problem that is settled by the nonlinear viscous Burgers equation. The viscous Burgers equation is a partial differential equation that is encountered in fluid dynamics studies, particularly in the domain of upward flow. The simplified model of the viscous Burgers equation explains the behavior of incompressible viscous fluid. The inverse Burgers problem belongs to a class of problems called ill-posed problems, which implies that there may be multiple sets of initial andor boundary conditions that result in the same solution of the Burgers equation. To obtain robust and reliable solutions, it is essential to use regularization and cross-validation methods. However, it is often difficult to solve analytically, so numerical approaches are developed to overcome this difficulty. Domain decomposition (DDM) was used with alternative iterative methods. We performed a numerical reconstruction of the velocity and normal stress tensor that were vanished on an inaccessible part of the boundary using the over-prescribed noisy data obtained on the other accessible part of the boundary.
  
  
   2025
  
  
   2025
  
  
   322
   345
  
  
   10.54216/IJNS.250428
   https://www.americaspg.com/articleinfo/21/show/3546