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Estimates of approximate solutions and well-posedness for variational inequalities

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Abstract

The purpose of this paper is to estimate the approximate solutions for variational inequalities. In terms of estimate functions, we establish some estimates of the sizes of the approximate solutions from outside and inside respectively. By considering the behaviors of estimate functions, we give some characterizations of the well-posedness for variational inequalities.

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References

  • Auslender A (1976) Optimization, Méthodes Numériques. Masson, Paris

    Google Scholar 

  • Del Prete I, Lignola MB, Morgan J (2003) New concepts of well-posedness for optimization problems with variational inequality constraints. JIPAM. J Inequal Pure Appl Math 4(1): Article 5

    Google Scholar 

  • Dontchev AL, Zolezzi T (1993) Well-posed optimization problems, Lecture Notes in Math. 1543 Springer, Berlin Heidelberg New York

    Google Scholar 

  • Huang XX (2001) Extended and strongly extended well-posedness of set-valued optimization problems. Math Methods Oper Res 53:101–116

    Article  MATH  MathSciNet  Google Scholar 

  • Kinderlehrer D, Stampacchia G (1980) An introduction to variational inequalities and their applications. Academic, New York

    MATH  Google Scholar 

  • Lignola MB, Morgan J (2000) Well-posedness for optimization problems with constraints defined by variational inequalities having a unique solution. J Global Optim 16(1):57–67

    Article  MATH  MathSciNet  Google Scholar 

  • Lignola MB, Morgan J (2002) Approximating solutions and α-well-posedness for variational inequalities and Nash equilibria. In: Decision and control in management science. Kluwer, Dordrecht pp 367–378

  • Lignola MB (2006) Well-posedness and L-well-posedness for quasivariational inequalities. J Optim Theory Appl 128(1):119–138

    Article  MATH  MathSciNet  Google Scholar 

  • Lucchetti R, Patrone F (1981) A characterization of Tyhonov well-posedness for minimum problems, with applications to variational inequalities. Numer Funct Anal Optim 3(4):461–476

    MATH  MathSciNet  Google Scholar 

  • Miglierina E, Molho E (2003) Well-posedness and convexity in vector optimization. Math Methods Oper Res 58:375–385

    Article  MATH  MathSciNet  Google Scholar 

  • Tykhonov AN (1966) On the stability of the functional optimization problem. USSR J Comput Math Math Phys 6:631–634

    Google Scholar 

  • Yang XM, Yang XQ, Teo KL (2004) Some remarks on the Minty vector variational inequality. J Optim Theory Appl 121(1):193–201

    Article  MATH  MathSciNet  Google Scholar 

  • Zolezzi T (1995) Well-posedness criteria in optimization with application to the calculus of variations. Nonlinear Anal TMA 25:437–453

    Article  MATH  MathSciNet  Google Scholar 

  • Zolezzi T (1996) Extended well-posedness of optimization problems. J Optim Theory Appl 91:257–266

    Article  MATH  MathSciNet  Google Scholar 

  • Zolezzi T (2001) Well-posedness and optimization under perturbations. Optimization with data perturbations. Ann Oper Res 101:351–361

    Article  MATH  MathSciNet  Google Scholar 

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Correspondence to Ya-Ping Fang.

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This work was partially supported by the Basic and Applied Research Projection of Sichuan Province (05JY029-009-1) and the National Natural Science Foundation of China (10671135).

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Fang, YP., Hu, R. Estimates of approximate solutions and well-posedness for variational inequalities. Math Meth Oper Res 65, 281–291 (2007). https://doi.org/10.1007/s00186-006-0122-0

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  • DOI: https://doi.org/10.1007/s00186-006-0122-0

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