Abstract
We investigate a P1 finite element method for an elliptic distributed optimal control problem with pointwise state constraints and a state equation that includes advective/convective and reactive terms. The convergence of this method can be established for general polygonal/polyhedral domains that are not necessarily convex. The discrete problem is a strictly convex quadratic program with box constraints that can be solved efficiently by a primal-dual active set algorithm.
Funding source: National Science Foundation
Award Identifier / Grant number: DMS-19-13035
Funding statement: This work was supported in part by the National Science Foundation under Grant No. DMS-19-13035.
A Interior Regularity of Ëz
We will establish (2.4) by relating (2.3) to fourth-order variational inequalities analyzed in [26, 27, 18].
It follows from (2.3) and the Riesz representation theorem for non-negative functionals (cf. [43, 46, 25]) that
where đ is a non-positive regular Borel measure. Moreover,
by the principle of virtual work.
Let đ be any Câ function with compact support in Ω such that
We will show that Ëz=ÏËz belongs to H3(Ω)â©W2â(Ω) , which then implies (2.4).
Given any zâÌE(Î;L2(Ω)) , we have, in view of (1.7),
where M:ÌE(Î;L2(Ω))âH10(Ω) is defined by
Here MzâH10(Ω) because ÌE(Î;L2(Ω)) is a subspace of H2loc(Ω) .
Note that Ëz belongs to
and we have, in view of (A.2) and (A.3),
It follows from (A.1), (A.4) and (A.7) that
which together with (1.7) implies
Since Ëz=ÏËz belongs to H20(Ω) , MËz belongs to H10(Ω) , đ belongs to H4(Ω) , đ» belongs to [W1â(Ω)]n and đŸ belongs to W1â(Ω) , we can use (A.5) and integration by parts to rewrite (A.8) in the form of
where fiâL2(Ω) for 0â€iâ€n .
Note that (A.6) and (A.9) define a biharmonic variational inequality treated in [26]. Therefore, we can apply the interior regularity result there to conclude that ËzâH3loc(Ω) , and hence ËzâH3(Ω) because Ëz is compactly supported in Ω. We can also conclude that ËzâH3loc(Ω) .
According to the Sobolev embedding theorem, we have H1(Ω)âȘL6(Ω) and W16/5(Ω)âȘL2(Ω) in both two and three dimensions. Hence we can use (A.4), the facts that ζâ[W1â(Ω)]n , ÎłâW1â(Ω) , ËzâH3loc(Ω) together with integration by parts to rewrite (A.8) in the form of
where FâW-16(Ω) .
Let ÏâH20(Ω) be defined by
Then đ belongs to W36,loc(Ω)âW2â,loc(Ω) by interior elliptic regularity (cf. [2, section 14]) and the Sobolev embedding theorem, and (A.10) becomes the variational inequality
where KâŻ={zâŻâH20(Ω):zâŻâ€ÏËÏ-Ï} and z*=Ëz-ÏâK⯠.
We can now apply the interior regularity results in [27, 18] to the biharmonic variational inequality (A.11) to conclude that z*âW2â,loc(Ω) , and hence Ëz=z*+ÏâW2â(Ω) because Ëz is compactly supported in Ω.
B Estimates for RhËy
It follows from the assumptions on đ» and đŸ that we have
and also the following GĂ„rding inequality (cf. [11, Theorem 5.6.8]):
where đ is a positive constant.
Recall Ih:C(ËΩ)âVh is the nodal interpolation operator and there is a standard estimate (cf. [20, 23, 11])
that holds for t>n2 , 0â€sâ€t , ζâHt(T) and TâTh .
In view of (1.9) and (B.2), we have the following interpolation error estimate (cf. [20, 3, 23, 30, 11]):
where đ is defined in (3.2). It follows from (B.3) that
because Ëyâg+ÌE(Î;L2(Ω)) and gâH4(Ω) . As mentioned in Remark 3.3, the finite element approximation RhËy is well-defined for â sufficiently small.
Since the function IhËy-RhËy belongs to ÌVhâH10(Ω) , we have
Let ÏâH10(Ω) be defined by
Then đ belongs to ÌE(Î;L2(Ω)) , and we have
by elliptic regularity.
It follows from (3.3) and (B.6) that
and we can use (B.1), (B.3) and (B.7) to estimate the first term on the right-hand side of (B.8) by
According to (1.4), the second term on the right-hand side of (B.8) is given by
and we have
It only remains to estimate the first term on the right-hand side of (B.10), which can be rewritten through integration by parts as
where
We have
Proof
Let đ be a side (edge if
In the case of quasi-uniform meshes, we can use (B.2), (B.7), (B.12) and (B.14) to obtain
The case of graded meshes in two dimensions is more involved.
Let
We can use (B.12) and (B.14) to obtain
where
The first sum on the right-hand side of (B.15) is bounded by
where we have used (B.2),
(B.7) and the fact that, on the graded mesh, we have
Finally, the second sum on the right-hand side of (B.15) is bounded by
where we have used (B.2), (B.7), the fact that, on the graded mesh, we have
together with the nature of the singularity at a reentrant corner of Ω (cf. [3, Section 4] and [30, Section 8.4.1]). â
Putting (B.8)â(B.11) and (B.13) together, we arrive at the estimate
It follows from (B.5) and (B.16) that
which together with (B.3) imply (3.4) and (3.5).
Finally, estimate (3.6) follows from (2.6), (3.5) and the interior maximum norm estimate in [45, equation (0.8)].
Acknowledgements
The authors would like to thank Joscha Gedicke for helpful discussions concerning the numerical examples.
References
[1] R. A. Adams and J. J. F. Fournier, Sobolev Spaces, 2nd ed., Academic Press, Amsterdam, 2003. Search in Google Scholar
[2] S. Agmon, A. Douglis and L. Nirenberg, Estimates near the boundary for solutions of elliptic partial differential equations satisfying general boundary conditions. I, Comm. Pure Appl. Math. 12 (1959), 623â727. 10.1002/cpa.3160120405Search in Google Scholar
[3] I. BabuĆĄka, R. B. Kellogg and J. PitkĂ€ranta, Direct and inverse error estimates for finite elements with mesh refinements, Numer. Math. 33 (1979), no. 4, 447â471. 10.1007/BF01399326Search in Google Scholar
[4] M. Bergounioux, K. Ito and K. Kunisch, Primal-dual strategy for constrained optimal control problems, SIAM J. Control Optim. 37 (1999), no. 4, 1176â1194. 10.1137/S0363012997328609Search in Google Scholar
[5] M. Bergounioux and K. Kunisch, Primal-dual strategy for state-constrained optimal control problems, Comput. Optim. Appl. 22 (2002), no. 2, 193â224. 10.1023/A:1015489608037Search in Google Scholar
[6] S. C. Brenner, C. B. Davis and L.-Y. Sung, A partition of unity method for a class of fourth order elliptic variational inequalities, Comput. Methods Appl. Mech. Engrg. 276 (2014), 612â626. 10.1016/j.cma.2014.04.004Search in Google Scholar
[7]
S. C. Brenner, J. Gedicke and L.-Y. Sung,
[8] S. C. Brenner, T. Gudi, K. Porwal and L.-Y. Sung, A Morley finite element method for an elliptic distributed optimal control problem with pointwise state and control constraints, ESAIM Control Optim. Calc. Var. 24 (2018), no. 3, 1181â1206. 10.1051/cocv/2017031Search in Google Scholar
[9]
S. C. Brenner, M. Oh, S. Pollock, K. Porwal, M. Schedensack and N. S. Sharma,
A
[10]
S. C. Brenner, M. Oh and L.-Y. Sung,
[11] S. C. Brenner and L. R. Scott, The Mathematical Theory of Finite Element Methods, 3rd ed., Springer, New York, 2008. 10.1007/978-0-387-75934-0Search in Google Scholar
[12] S. C. Brenner and L.-Y. Sung, A new convergence analysis of finite element methods for elliptic distributed optimal control problems with pointwise state constraints, SIAM J. Control Optim. 55 (2017), no. 4, 2289â2304. 10.1137/16M1088090Search in Google Scholar
[13]
S. C. Brenner, L.-Y. Sung and J. Gedicke,
[14]
S. C. Brenner, L.-Y. Sung and Z. Tan,
A cubic
[15]
S. C. Brenner, L.-Y. Sung and Z. Tan,
A
[16]
S. C. Brenner, L.-Y. Sung and Y. Zhang,
A quadratic
[17]
S. C. Brenner, L.-Y. Sung and Y. Zhang,
[18] L. A. Caffarelli and A. Friedman, The obstacle problem for the biharmonic operator, Ann. Sc. Norm. Super. Pisa Cl. Sci. (4) 6 (1979), no. 1, 151â184. 10.2140/pjm.1982.103.325Search in Google Scholar
[19] E. Casas, M. Mateos and B. Vexler, New regularity results and improved error estimates for optimal control problems with state constraints, ESAIM Control Optim. Calc. Var. 20 (2014), no. 3, 803â822. 10.1051/cocv/2013084Search in Google Scholar
[20] P. G. Ciarlet, The Finite Element Method for Elliptic Problems, North-Holland, Amsterdam, 1978. 10.1115/1.3424474Search in Google Scholar
[21] M. Dauge, Elliptic Boundary Value Problems on Corner Domains, Lecture Notes in Math. 1341, Springer, Berlin, 1988. 10.1007/BFb0086682Search in Google Scholar
[22] K. Deckelnick and M. Hinze, Convergence of a finite element approximation to a state-constrained elliptic control problem, SIAM J. Numer. Anal. 45 (2007), no. 5, 1937â1953. 10.1137/060652361Search in Google Scholar
[23] T. Dupont and R. Scott, Polynomial approximation of functions in Sobolev spaces, Math. Comp. 34 (1980), no. 150, 441â463. 10.1090/S0025-5718-1980-0559195-7Search in Google Scholar
[24] I. Ekeland and R. TĂ©mam, Convex Analysis and Variational Problems, Classics Appl. Math. 28, Society for Industrial and Applied Mathematics (SIAM), Philadelphia, 1999. 10.1137/1.9781611971088Search in Google Scholar
[25] L. C. Evans and R. F. Gariepy, Measure Theory and Fine Properties of Functions, CRC Press, Boca Raton, 1992. Search in Google Scholar
[26] J. Frehse, Zum Differenzierbarkeitsproblem bei Variationsungleichungen höherer Ordnung, Abh. Math. Semin. Univ. Hamburg 36 (1971), 140â149. 10.1007/BF02995917Search in Google Scholar
[27] J. Frehse, On the regularity of the solution of the biharmonic variational inequality, Manuscripta Math. 9 (1973), 91â103. 10.1007/BF01320669Search in Google Scholar
[28] R. Fritzsch and P. Oswald, Zur optimalen Gitterwahl bei Finite-Elemente-Approximationen, Wiss. Z. Tech. Univ. Dresden 37 (1988), no. 3, 155â158. Search in Google Scholar
[29] W. Gong and N. Yan, A mixed finite element scheme for optimal control problems with pointwise state constraints, J. Sci. Comput. 46 (2011), no. 2, 182â203. 10.1007/s10915-010-9392-zSearch in Google Scholar
[30] P. Grisvard, Elliptic Problems in Nonsmooth Domains, Pitman, Boston, 1985. Search in Google Scholar
[31] M. Heinkenschloss and D. Leykekhman, Local error estimates for SUPG solutions of advection-dominated elliptic linear-quadratic optimal control problems, SIAM J. Numer. Anal. 47 (2010), no. 6, 4607â4638. 10.1137/090759902Search in Google Scholar
[32] M. HintermĂŒller, K. Ito and K. Kunisch, The primal-dual active set strategy as a semismooth Newton method, SIAM J. Optim. 13 (2003), no. 3, 865â888. 10.1137/S1052623401383558Search in Google Scholar
[33] M. Hinze, R. Pinnau, M. Ulbrich and S. Ulbrich, Optimization with PDE Constraints, Springer, New York, 2009. Search in Google Scholar
[34] K. Ito and K. Kunisch, Lagrange Multiplier Approach to Variational Problems and Applications, Society for Industrial and Applied Mathematics (SIAM), Philadelphia, 2008. 10.1137/1.9780898718614Search in Google Scholar
[35] D. Kinderlehrer and G. Stampacchia, An Introduction to Variational Inequalities and Their Applications, Society for Industrial and Applied Mathematics (SIAM), Philadelphia, 2000. 10.1137/1.9780898719451Search in Google Scholar
[36] D. Leykekhman and M. Heinkenschloss, Local error analysis of discontinuous Galerkin methods for advection-dominated elliptic linear-quadratic optimal control problems, SIAM J. Numer. Anal. 50 (2012), no. 4, 2012â2038. 10.1137/110826953Search in Google Scholar
[37] W. Liu, W. Gong and N. Yan, A new finite element approximation of a state-constrained optimal control problem, J. Comput. Math. 27 (2009), no. 1, 97â114. Search in Google Scholar
[38] V. Mazâya and J. Rossmann, Elliptic Equations in Polyhedral Domains, American Mathematical Society, Providence, 2010. 10.1090/surv/162Search in Google Scholar
[39] C. Meyer, Error estimates for the finite-element approximation of an elliptic control problem with pointwise state and control constraints, Control Cybernet. 37 (2008), no. 1, 51â83. Search in Google Scholar
[40] S. A. Nazarov and B. A. Plamenevsky, Elliptic Problems in Domains with Piecewise Smooth Boundaries, De Gruyter, Berlin, 1994. 10.1515/9783110848915Search in Google Scholar
[41] I. Neitzel, J. Pfefferer and A. Rösch, Finite element discretization of state-constrained elliptic optimal control problems with semilinear state equation, SIAM J. Control Optim. 53 (2015), no. 2, 874â904. 10.1137/140960645Search in Google Scholar
[42] P.-A. Raviart, The use of numerical integration in finite element methods for solving parabolic equations, Topics in Numerical Analysis, Academic Press, London (1973), 233â264. Search in Google Scholar
[43] W. Rudin, Real and Complex Analysis, McGraw-Hill, New York, 1966. Search in Google Scholar
[44] A. H. Schatz, An observation concerning RitzâGalerkin methods with indefinite bilinear forms, Math. Comp. 28 (1974), 959â962. 10.1090/S0025-5718-1974-0373326-0Search in Google Scholar
[45] A. H. Schatz and L. B. Wahlbin, Interior maximum norm estimates for finite element methods, Math. Comp. 31 (1977), no. 138, 414â442. 10.1090/S0025-5718-1977-0431753-XSearch in Google Scholar
[46] L. Schwartz, Théorie des Distributions, Hermann, Paris, 1966. Search in Google Scholar
[47] V. Thomée, Galerkin Finite Element Methods for Parabolic Problems, 2nd ed., Springer, Berlin, 2006. Search in Google Scholar
© 2021 Walter de Gruyter GmbH, Berlin/Boston
Abstract
We investigate a
Funding source: National Science Foundation
Award Identifier / Grant number: DMS-19-13035
Funding statement: This work was supported in part by the National Science Foundation under Grant No. DMS-19-13035.
A Interior Regularity of
z
ÂŻ
We will establish (2.4) by relating (2.3) to fourth-order variational inequalities analyzed in [26, 27, 18].
It follows from (2.3) and the Riesz representation theorem for non-negative functionals (cf. [43, 46, 25]) that
where đ is a non-positive regular Borel measure. Moreover,
by the principle of virtual work.
Let đ be any
We will show that
Given any
where
Here
Note that
and we have, in view of (A.2) and (A.3),
It follows from (A.1), (A.4) and (A.7) that
which together with (1.7) implies
Since
where
Note that (A.6) and (A.9) define a biharmonic variational inequality treated in [26].
Therefore, we can apply the interior regularity result there to conclude that
According to the Sobolev embedding theorem, we have
where
Let
Then đ belongs to
where
We can now apply the interior regularity results in
[27, 18] to the biharmonic variational inequality (A.11) to conclude that
B Estimates for
R
h
âą
y
ÂŻ
It follows from the assumptions on đ» and đŸ that we have
and also the following GĂ„rding inequality (cf. [11, Theorem 5.6.8]):
where đ is a positive constant.
Recall
that holds for
In view of (1.9) and (B.2), we have the following interpolation error estimate (cf. [20, 3, 23, 30, 11]):
where đ is defined in (3.2). It follows from (B.3) that
because
Since the function
Let
Then đ belongs to
by elliptic regularity.
It follows from (3.3) and (B.6) that
and we can use (B.1), (B.3) and (B.7) to estimate the first term on the right-hand side of (B.8) by
According to (1.4), the second term on the right-hand side of (B.8) is given by
and we have
It only remains to estimate the first term on the right-hand side of (B.10), which can be rewritten through integration by parts as
where
We have
Proof
Let đ be a side (edge if
In the case of quasi-uniform meshes, we can use (B.2), (B.7), (B.12) and (B.14) to obtain
The case of graded meshes in two dimensions is more involved.
Let
We can use (B.12) and (B.14) to obtain
where
The first sum on the right-hand side of (B.15) is bounded by
where we have used (B.2),
(B.7) and the fact that, on the graded mesh, we have
Finally, the second sum on the right-hand side of (B.15) is bounded by
where we have used (B.2), (B.7), the fact that, on the graded mesh, we have
together with the nature of the singularity at a reentrant corner of Ω (cf. [3, Section 4] and [30, Section 8.4.1]). â
Putting (B.8)â(B.11) and (B.13) together, we arrive at the estimate
It follows from (B.5) and (B.16) that
which together with (B.3) imply (3.4) and (3.5).
Finally, estimate (3.6) follows from (2.6), (3.5) and the interior maximum norm estimate in [45, equation (0.8)].
Acknowledgements
The authors would like to thank Joscha Gedicke for helpful discussions concerning the numerical examples.
References
[1] R. A. Adams and J. J. F. Fournier, Sobolev Spaces, 2nd ed., Academic Press, Amsterdam, 2003. Search in Google Scholar
[2] S. Agmon, A. Douglis and L. Nirenberg, Estimates near the boundary for solutions of elliptic partial differential equations satisfying general boundary conditions. I, Comm. Pure Appl. Math. 12 (1959), 623â727. 10.1002/cpa.3160120405Search in Google Scholar
[3] I. BabuĆĄka, R. B. Kellogg and J. PitkĂ€ranta, Direct and inverse error estimates for finite elements with mesh refinements, Numer. Math. 33 (1979), no. 4, 447â471. 10.1007/BF01399326Search in Google Scholar
[4] M. Bergounioux, K. Ito and K. Kunisch, Primal-dual strategy for constrained optimal control problems, SIAM J. Control Optim. 37 (1999), no. 4, 1176â1194. 10.1137/S0363012997328609Search in Google Scholar
[5] M. Bergounioux and K. Kunisch, Primal-dual strategy for state-constrained optimal control problems, Comput. Optim. Appl. 22 (2002), no. 2, 193â224. 10.1023/A:1015489608037Search in Google Scholar
[6] S. C. Brenner, C. B. Davis and L.-Y. Sung, A partition of unity method for a class of fourth order elliptic variational inequalities, Comput. Methods Appl. Mech. Engrg. 276 (2014), 612â626. 10.1016/j.cma.2014.04.004Search in Google Scholar
[7]
S. C. Brenner, J. Gedicke and L.-Y. Sung,
[8] S. C. Brenner, T. Gudi, K. Porwal and L.-Y. Sung, A Morley finite element method for an elliptic distributed optimal control problem with pointwise state and control constraints, ESAIM Control Optim. Calc. Var. 24 (2018), no. 3, 1181â1206. 10.1051/cocv/2017031Search in Google Scholar
[9]
S. C. Brenner, M. Oh, S. Pollock, K. Porwal, M. Schedensack and N. S. Sharma,
A
[10]
S. C. Brenner, M. Oh and L.-Y. Sung,
[11] S. C. Brenner and L. R. Scott, The Mathematical Theory of Finite Element Methods, 3rd ed., Springer, New York, 2008. 10.1007/978-0-387-75934-0Search in Google Scholar
[12] S. C. Brenner and L.-Y. Sung, A new convergence analysis of finite element methods for elliptic distributed optimal control problems with pointwise state constraints, SIAM J. Control Optim. 55 (2017), no. 4, 2289â2304. 10.1137/16M1088090Search in Google Scholar
[13]
S. C. Brenner, L.-Y. Sung and J. Gedicke,
[14]
S. C. Brenner, L.-Y. Sung and Z. Tan,
A cubic
[15]
S. C. Brenner, L.-Y. Sung and Z. Tan,
A
[16]
S. C. Brenner, L.-Y. Sung and Y. Zhang,
A quadratic
[17]
S. C. Brenner, L.-Y. Sung and Y. Zhang,
[18] L. A. Caffarelli and A. Friedman, The obstacle problem for the biharmonic operator, Ann. Sc. Norm. Super. Pisa Cl. Sci. (4) 6 (1979), no. 1, 151â184. 10.2140/pjm.1982.103.325Search in Google Scholar
[19] E. Casas, M. Mateos and B. Vexler, New regularity results and improved error estimates for optimal control problems with state constraints, ESAIM Control Optim. Calc. Var. 20 (2014), no. 3, 803â822. 10.1051/cocv/2013084Search in Google Scholar
[20] P. G. Ciarlet, The Finite Element Method for Elliptic Problems, North-Holland, Amsterdam, 1978. 10.1115/1.3424474Search in Google Scholar
[21] M. Dauge, Elliptic Boundary Value Problems on Corner Domains, Lecture Notes in Math. 1341, Springer, Berlin, 1988. 10.1007/BFb0086682Search in Google Scholar
[22] K. Deckelnick and M. Hinze, Convergence of a finite element approximation to a state-constrained elliptic control problem, SIAM J. Numer. Anal. 45 (2007), no. 5, 1937â1953. 10.1137/060652361Search in Google Scholar
[23] T. Dupont and R. Scott, Polynomial approximation of functions in Sobolev spaces, Math. Comp. 34 (1980), no. 150, 441â463. 10.1090/S0025-5718-1980-0559195-7Search in Google Scholar
[24] I. Ekeland and R. TĂ©mam, Convex Analysis and Variational Problems, Classics Appl. Math. 28, Society for Industrial and Applied Mathematics (SIAM), Philadelphia, 1999. 10.1137/1.9781611971088Search in Google Scholar
[25] L. C. Evans and R. F. Gariepy, Measure Theory and Fine Properties of Functions, CRC Press, Boca Raton, 1992. Search in Google Scholar
[26] J. Frehse, Zum Differenzierbarkeitsproblem bei Variationsungleichungen höherer Ordnung, Abh. Math. Semin. Univ. Hamburg 36 (1971), 140â149. 10.1007/BF02995917Search in Google Scholar
[27] J. Frehse, On the regularity of the solution of the biharmonic variational inequality, Manuscripta Math. 9 (1973), 91â103. 10.1007/BF01320669Search in Google Scholar
[28] R. Fritzsch and P. Oswald, Zur optimalen Gitterwahl bei Finite-Elemente-Approximationen, Wiss. Z. Tech. Univ. Dresden 37 (1988), no. 3, 155â158. Search in Google Scholar
[29] W. Gong and N. Yan, A mixed finite element scheme for optimal control problems with pointwise state constraints, J. Sci. Comput. 46 (2011), no. 2, 182â203. 10.1007/s10915-010-9392-zSearch in Google Scholar
[30] P. Grisvard, Elliptic Problems in Nonsmooth Domains, Pitman, Boston, 1985. Search in Google Scholar
[31] M. Heinkenschloss and D. Leykekhman, Local error estimates for SUPG solutions of advection-dominated elliptic linear-quadratic optimal control problems, SIAM J. Numer. Anal. 47 (2010), no. 6, 4607â4638. 10.1137/090759902Search in Google Scholar
[32] M. HintermĂŒller, K. Ito and K. Kunisch, The primal-dual active set strategy as a semismooth Newton method, SIAM J. Optim. 13 (2003), no. 3, 865â888. 10.1137/S1052623401383558Search in Google Scholar
[33] M. Hinze, R. Pinnau, M. Ulbrich and S. Ulbrich, Optimization with PDE Constraints, Springer, New York, 2009. Search in Google Scholar
[34] K. Ito and K. Kunisch, Lagrange Multiplier Approach to Variational Problems and Applications, Society for Industrial and Applied Mathematics (SIAM), Philadelphia, 2008. 10.1137/1.9780898718614Search in Google Scholar
[35] D. Kinderlehrer and G. Stampacchia, An Introduction to Variational Inequalities and Their Applications, Society for Industrial and Applied Mathematics (SIAM), Philadelphia, 2000. 10.1137/1.9780898719451Search in Google Scholar
[36] D. Leykekhman and M. Heinkenschloss, Local error analysis of discontinuous Galerkin methods for advection-dominated elliptic linear-quadratic optimal control problems, SIAM J. Numer. Anal. 50 (2012), no. 4, 2012â2038. 10.1137/110826953Search in Google Scholar
[37] W. Liu, W. Gong and N. Yan, A new finite element approximation of a state-constrained optimal control problem, J. Comput. Math. 27 (2009), no. 1, 97â114. Search in Google Scholar
[38] V. Mazâya and J. Rossmann, Elliptic Equations in Polyhedral Domains, American Mathematical Society, Providence, 2010. 10.1090/surv/162Search in Google Scholar
[39] C. Meyer, Error estimates for the finite-element approximation of an elliptic control problem with pointwise state and control constraints, Control Cybernet. 37 (2008), no. 1, 51â83. Search in Google Scholar
[40] S. A. Nazarov and B. A. Plamenevsky, Elliptic Problems in Domains with Piecewise Smooth Boundaries, De Gruyter, Berlin, 1994. 10.1515/9783110848915Search in Google Scholar
[41] I. Neitzel, J. Pfefferer and A. Rösch, Finite element discretization of state-constrained elliptic optimal control problems with semilinear state equation, SIAM J. Control Optim. 53 (2015), no. 2, 874â904. 10.1137/140960645Search in Google Scholar
[42] P.-A. Raviart, The use of numerical integration in finite element methods for solving parabolic equations, Topics in Numerical Analysis, Academic Press, London (1973), 233â264. Search in Google Scholar
[43] W. Rudin, Real and Complex Analysis, McGraw-Hill, New York, 1966. Search in Google Scholar
[44] A. H. Schatz, An observation concerning RitzâGalerkin methods with indefinite bilinear forms, Math. Comp. 28 (1974), 959â962. 10.1090/S0025-5718-1974-0373326-0Search in Google Scholar
[45] A. H. Schatz and L. B. Wahlbin, Interior maximum norm estimates for finite element methods, Math. Comp. 31 (1977), no. 138, 414â442. 10.1090/S0025-5718-1977-0431753-XSearch in Google Scholar
[46] L. Schwartz, Théorie des Distributions, Hermann, Paris, 1966. Search in Google Scholar
[47] V. Thomée, Galerkin Finite Element Methods for Parabolic Problems, 2nd ed., Springer, Berlin, 2006. Search in Google Scholar
© 2021 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- A Gradient Discretisation Method for Anisotropic ReactionâDiffusion Models with Applications to the Dynamics of Brain Tumors
- A đ1 Finite Element Method for a Distributed Elliptic Optimal Control Problem with a General State Equation and Pointwise State Constraints
- A Framework for Approximation of the Stokes Equations in an Axisymmetric Domain
- Analysis of Backward Euler Primal DPG Methods
- A Low-Dimensional Compact Finite Difference Method on Graded Meshes for Time-Fractional Diffusion Equations
- Error Estimation and Adaptivity for Differential Equations with Multiple Scales in Time
- A Shift Splitting Iteration Method for Generalized Absolute Value Equations
- Reconstruction of a Space-Dependent Coefficient in a Linear BenjaminâBonaâMahony Type Equation
- Finite Difference Method on Non-Uniform Meshes for Time Fractional Diffusion Problem
- Two Finite Difference Schemes for Multi-Dimensional Fractional Wave Equations with Weakly Singular Solutions
- Novel Adaptive Hybrid Discontinuous Galerkin Algorithms for Elliptic Problems
Articles in the same Issue
- Frontmatter
- A Gradient Discretisation Method for Anisotropic ReactionâDiffusion Models with Applications to the Dynamics of Brain Tumors
- A đ1 Finite Element Method for a Distributed Elliptic Optimal Control Problem with a General State Equation and Pointwise State Constraints
- A Framework for Approximation of the Stokes Equations in an Axisymmetric Domain
- Analysis of Backward Euler Primal DPG Methods
- A Low-Dimensional Compact Finite Difference Method on Graded Meshes for Time-Fractional Diffusion Equations
- Error Estimation and Adaptivity for Differential Equations with Multiple Scales in Time
- A Shift Splitting Iteration Method for Generalized Absolute Value Equations
- Reconstruction of a Space-Dependent Coefficient in a Linear BenjaminâBonaâMahony Type Equation
- Finite Difference Method on Non-Uniform Meshes for Time Fractional Diffusion Problem
- Two Finite Difference Schemes for Multi-Dimensional Fractional Wave Equations with Weakly Singular Solutions
- Novel Adaptive Hybrid Discontinuous Galerkin Algorithms for Elliptic Problems