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[00542] Approximations of quasi-linear elliptic optimal control problems under variational and virtual discretizations

  • Session Time & Room : 1C (Aug.21, 13:20-15:00) @F310
  • Type : Contributed Talk
  • Abstract : This talk will discuss virtual and variational discretizations for the numerical approximation of optimal control problems governed by the quasi-linear elliptic equation with distributed control. A conforming virtual element method is employed for the discretization of state and co-state equations that appeared in the model problem. The numerical approximation of the control variable is based on two different discretizations: variational and virtual. In the variational approach, the discrete space associated with the control is not discretized explicitly, whereas, for the virtual discretizations, the discrete spaces are taken as virtual element spaces that include linear polynomials and non-polynomials functions over the polygonal mesh, and a discretize-then-optimize approach is used for the computation of control. With the help of certain projection operators, optimal a priori error estimates are established for the control, state, and co-state variables in suitable norms. Numerical experiments are presented under general polygonal meshes to illustrate the performance of the proposed scheme and verify the theoretical convergence rate.
  • Classification : 49M29, 49M41, 65K15, 90C46
  • Format : Talk at Waseda University
  • Author(s) :
    • Anil Kumar (BITS Pilani KK Birla Goa Campus, Goa (India))
    • Jai Tushar (BITS Pilani KK Birla Goa Campus, Goa (India))
    • Sarvesh Kumar (Indian Institute of Space Science and Technology, Thiruvananthapuram)