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Yıl 2017, Cilt: 7 Sayı: 2, 221 - 235, 01.12.2017

Öz

Kaynakça

  • Akman,T., Y¨ucel,H., and B. Karas¨ozen,B., (2013), A priori error analysis of the upwind symmetric interior penalty Galerkin (SIPG) method for the optimal control problems governed by unsteady convection diffusion equations, Comput. Optim. Appl., 57, pp.703-729.
  • Akman,T. and Karas¨ozen,B., (2014), Variational Time Discretization Methods for Optimal Control Problems Governed by Diffusion- Convection-Reaction-Equations, Journal of Computational and Ap- plied Mathematics, 272, pp.41-56.
  • Becker,R. and Vexler,B., (2007), Optimal control of the convection-diffusion equation using stabilized finite element methods, Numer. Math., 106, pp.349-367.
  • Burman,E., (2011), Crank-Nicolson finite element methods using symmetric stabilization with an application to optimal control problems subject to transient advection-diffusion equations, Comm. Math Sci., 9, pp.319-329.
  • Ciarlet,P.G., (1991), Basic error estimates for elliptic problems: Handb. Numer. Anal., II, North- Holland, Amsterdam, 17-351.
  • Collis,S.S. and Heinkenschloss,M., (2002), Analysis of the streamline upwind/Petrov Galerkin method applied to the solution of optimal control problems. Tech. Rep. TR0201, Department of Computational and Applied Mathematics, Rice University, Houston, TX, 77005-1892.
  • Ded`e,L., (2005), A. Quarteroni, Optimal control and numerical adaptivity for advection-diffusion equations. M2AN Math. Model. Numer. Anal., 39, pp.1019-1040.
  • Douglas,Jr.J. and Russell,T.F., (1982), Numerical methods for convection-dominated diffusion prob- lems based on combining the method of characteristics with finite element or finite differences proce- dures. SIAM J. Numer. Anal., 19, pp.871-885.
  • Fu,H., (2010), A characteristic finite element method for optimal control problems governed by convection-diffusion equations. J. Comput. Appl. Math., 235, pp.825-836.
  • Fu,H. and Rui,H., (2009), A priori error estimates for optimal control problems governed by transient advection-diffusion equations. J. Sci. Comput., 38, pp.290-315.
  • Hinze,M., Yan,N., and Zhou,Z., (2009), Variational discretization for optimal control governed by convection dominated diffusion equations. J. Comput. Math., 27, pp.237-253.
  • John,V. and Novo,J., (2011), Error analysis of the SUPG finite element discretization of evolutionary convection-diffusion-reaction equations. SIAM J. Numer. Anal., 49, pp.1149-1176.
  • Tr¨oltzsch,F., (2010), Optimal Control of Partial Differential Equations: Theory, Methods and Appli- cations, vol. 112 of Graduate Studies in Mathematics, American Mathematical Society, Providence.
  • Meidner,D. and Vexler,B., (2008), A priori error estimates for space-time finite element discretization of parabolic optimal control problems. II. Problems with control constraints. SIAM J. Control Optim., 47, pp.1301-1329.
  • Stoll,M. and Wathen,A., (2012), Preconditioning for partial differential equation constrained opti- mization with control constraints. Numer. Linear Algebra Appl., 19, pp.53-71.
  • Stynes,M., (2005), Steady state convection-diffusion problems. Acta Numer., 14, pp.445-508.
  • Zhou,Z. and Yan,N. (2010), The local discontinuous Galerkin method for optimal control problem governed by convection diffusion equations. Int. J. Numer. Anal. Model., 7, pp.681-699.
  • Y¨ucel,Y. and Karas¨ozen,B., (2014), Adaptive Symmetric Interior Penalty Galerkin (SIPG) method for optimal control of convection diffusion equations with control constraints, Optimization, 63, pp.145- 166.

STREAMLINE UPWIND/PETROV GALERKIN SOLUTION OF OPTIMAL CONTROL PROBLEMS GOVERNED BY TIME DEPENDENT DIFFUSION-CONVECTION-REACTION EQUATIONS

Yıl 2017, Cilt: 7 Sayı: 2, 221 - 235, 01.12.2017

Öz

The streamline upwind/Petrov Galerkin SUPG nite element method is studied for distributed optimal control problems governed by unsteady di usion-convectionreaction equations with control constraints. We derive stability and convergence estimates for fully-discrete state, adjoint and control and discuss the choice of the stabilization parameter by applying backward Euler method in time. We show that by balancing the error terms in the convection dominated regime, optimal convergence rates can be obtained. The numerical results con rm the theoretically observed convergence rates.

Kaynakça

  • Akman,T., Y¨ucel,H., and B. Karas¨ozen,B., (2013), A priori error analysis of the upwind symmetric interior penalty Galerkin (SIPG) method for the optimal control problems governed by unsteady convection diffusion equations, Comput. Optim. Appl., 57, pp.703-729.
  • Akman,T. and Karas¨ozen,B., (2014), Variational Time Discretization Methods for Optimal Control Problems Governed by Diffusion- Convection-Reaction-Equations, Journal of Computational and Ap- plied Mathematics, 272, pp.41-56.
  • Becker,R. and Vexler,B., (2007), Optimal control of the convection-diffusion equation using stabilized finite element methods, Numer. Math., 106, pp.349-367.
  • Burman,E., (2011), Crank-Nicolson finite element methods using symmetric stabilization with an application to optimal control problems subject to transient advection-diffusion equations, Comm. Math Sci., 9, pp.319-329.
  • Ciarlet,P.G., (1991), Basic error estimates for elliptic problems: Handb. Numer. Anal., II, North- Holland, Amsterdam, 17-351.
  • Collis,S.S. and Heinkenschloss,M., (2002), Analysis of the streamline upwind/Petrov Galerkin method applied to the solution of optimal control problems. Tech. Rep. TR0201, Department of Computational and Applied Mathematics, Rice University, Houston, TX, 77005-1892.
  • Ded`e,L., (2005), A. Quarteroni, Optimal control and numerical adaptivity for advection-diffusion equations. M2AN Math. Model. Numer. Anal., 39, pp.1019-1040.
  • Douglas,Jr.J. and Russell,T.F., (1982), Numerical methods for convection-dominated diffusion prob- lems based on combining the method of characteristics with finite element or finite differences proce- dures. SIAM J. Numer. Anal., 19, pp.871-885.
  • Fu,H., (2010), A characteristic finite element method for optimal control problems governed by convection-diffusion equations. J. Comput. Appl. Math., 235, pp.825-836.
  • Fu,H. and Rui,H., (2009), A priori error estimates for optimal control problems governed by transient advection-diffusion equations. J. Sci. Comput., 38, pp.290-315.
  • Hinze,M., Yan,N., and Zhou,Z., (2009), Variational discretization for optimal control governed by convection dominated diffusion equations. J. Comput. Math., 27, pp.237-253.
  • John,V. and Novo,J., (2011), Error analysis of the SUPG finite element discretization of evolutionary convection-diffusion-reaction equations. SIAM J. Numer. Anal., 49, pp.1149-1176.
  • Tr¨oltzsch,F., (2010), Optimal Control of Partial Differential Equations: Theory, Methods and Appli- cations, vol. 112 of Graduate Studies in Mathematics, American Mathematical Society, Providence.
  • Meidner,D. and Vexler,B., (2008), A priori error estimates for space-time finite element discretization of parabolic optimal control problems. II. Problems with control constraints. SIAM J. Control Optim., 47, pp.1301-1329.
  • Stoll,M. and Wathen,A., (2012), Preconditioning for partial differential equation constrained opti- mization with control constraints. Numer. Linear Algebra Appl., 19, pp.53-71.
  • Stynes,M., (2005), Steady state convection-diffusion problems. Acta Numer., 14, pp.445-508.
  • Zhou,Z. and Yan,N. (2010), The local discontinuous Galerkin method for optimal control problem governed by convection diffusion equations. Int. J. Numer. Anal. Model., 7, pp.681-699.
  • Y¨ucel,Y. and Karas¨ozen,B., (2014), Adaptive Symmetric Interior Penalty Galerkin (SIPG) method for optimal control of convection diffusion equations with control constraints, Optimization, 63, pp.145- 166.
Toplam 18 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Research Article
Yazarlar

- T.akman Bu kişi benim

B. Karasözen Bu kişi benim

Z. Kanar-seymen Bu kişi benim

Yayımlanma Tarihi 1 Aralık 2017
Yayımlandığı Sayı Yıl 2017 Cilt: 7 Sayı: 2

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