Skip to main content

2014 | OriginalPaper | Buchkapitel

5. Variational Problems: Globalization of Convergence

verfasst von : Alexey F. Izmailov, Mikhail V. Solodov

Erschienen in: Newton-Type Methods for Optimization and Variational Problems

Verlag: Springer International Publishing

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Newtonian methods for variational problems discussed in Chap. 3 have attractive local convergence and rate of convergence properties, but they are local by nature: for guaranteed convergence, they all require a starting point close enough to a solution. Therefore, to arrive to practical algorithms based on these methods, the process of computing and automatically accepting an appropriate “starting point” must be incorporated into the overall iterative scheme. Such extensions of locally convergent methods are referred to as globalization of convergence. This chapter discusses some strategies for globalization of convergence of Newtonian methods for variational problems.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
22.
Zurück zum Zitat E.G. Birgin, J.M. Martínez, Improving ultimate convergence of an augmented Lagrangian method. Optim. Method. Softw. 23, 177–195 (2008)CrossRefMATH E.G. Birgin, J.M. Martínez, Improving ultimate convergence of an augmented Lagrangian method. Optim. Method. Softw. 23, 177–195 (2008)CrossRefMATH
30.
Zurück zum Zitat R.S. Burachik, A.N. Iusem, Set-Valued Mappings and Enlargements of Monotone Operators. (Springer, New York, 2008) R.S. Burachik, A.N. Iusem, Set-Valued Mappings and Enlargements of Monotone Operators. (Springer, New York, 2008)
31.
Zurück zum Zitat R.S. Burachik, A.N. Iusem, B.F. Svaiter, Enlargement of monotone operators with applications to variational inequalities. Set-Valued Anal. 5, 159–180 (1997)CrossRefMATHMathSciNet R.S. Burachik, A.N. Iusem, B.F. Svaiter, Enlargement of monotone operators with applications to variational inequalities. Set-Valued Anal. 5, 159–180 (1997)CrossRefMATHMathSciNet
32.
Zurück zum Zitat R.S. Burachik, C.A. Sagastizábal, B.F. Svaiter, \(\varepsilon\)-Enlargements of maximal monotone operators: theory and applications, in Reformulation – Nonsmooth, Piecewise Smooth, Semismooth and Smoothing Methods, ed. by M. Fukushima, L. Qi (Kluwer Academic, 1999), pp. 25–44 R.S. Burachik, C.A. Sagastizábal, B.F. Svaiter, \(\varepsilon\)-Enlargements of maximal monotone operators: theory and applications, in Reformulation – Nonsmooth, Piecewise Smooth, Semismooth and Smoothing Methods, ed. by M. Fukushima, L. Qi (Kluwer Academic, 1999), pp. 25–44
46.
Zurück zum Zitat R.W. Cottle, J.-S. Pang, R.E. Stone, The Linear Complementarity Problem (SIAM, Philadelphia, 2009)CrossRefMATH R.W. Cottle, J.-S. Pang, R.E. Stone, The Linear Complementarity Problem (SIAM, Philadelphia, 2009)CrossRefMATH
51.
Zurück zum Zitat A.N. Daryina, A.F. Izmailov, M.V. Solodov, Numerical results for a globalized active-set Newton method for mixed complementarity problems. Comput. Appl. Math. 24, 293–316 (2005)MATHMathSciNet A.N. Daryina, A.F. Izmailov, M.V. Solodov, Numerical results for a globalized active-set Newton method for mixed complementarity problems. Comput. Appl. Math. 24, 293–316 (2005)MATHMathSciNet
52.
Zurück zum Zitat T. De Luca, F. Facchinei, C. Kanzow, A semismooth equation approach to the solution of nonlinear complementarity problems. Math. Program. 75, 407–439 (1996)CrossRefMATH T. De Luca, F. Facchinei, C. Kanzow, A semismooth equation approach to the solution of nonlinear complementarity problems. Math. Program. 75, 407–439 (1996)CrossRefMATH
53.
Zurück zum Zitat T. De Luca, F. Facchinei, C. Kanzow, A theoretical and numerical comparison of some semismooth algorithms for complementarity problems. Comput. Optim. Appl. 16, 173–205 (2000)CrossRefMATHMathSciNet T. De Luca, F. Facchinei, C. Kanzow, A theoretical and numerical comparison of some semismooth algorithms for complementarity problems. Comput. Optim. Appl. 16, 173–205 (2000)CrossRefMATHMathSciNet
60.
Zurück zum Zitat S.P. Dirkse, M.C. Ferris, The PATH solver: a non-monotone stabilization scheme for mixed complementarity problems. Optim. Method. Softw. 5, 123–156 (1995)CrossRef S.P. Dirkse, M.C. Ferris, The PATH solver: a non-monotone stabilization scheme for mixed complementarity problems. Optim. Method. Softw. 5, 123–156 (1995)CrossRef
68.
Zurück zum Zitat F. Facchinei, J.-S. Pang, Finite-Dimensional Variational Inequalities and Complementarity Problems (Springer, New York, 2003) F. Facchinei, J.-S. Pang, Finite-Dimensional Variational Inequalities and Complementarity Problems (Springer, New York, 2003)
69.
Zurück zum Zitat F. Facchinei, J. Soares, A new merit function for nonlinear complementarity problems and a related algorithm. SIAM J. Optim. 7, 225–247 (1997)CrossRefMATHMathSciNet F. Facchinei, J. Soares, A new merit function for nonlinear complementarity problems and a related algorithm. SIAM J. Optim. 7, 225–247 (1997)CrossRefMATHMathSciNet
70.
Zurück zum Zitat F. Facchinei, A. Fischer, C. Kanzow, Regularity properties of a semismooth reformulation of variational inequalities. SIAM J. Optim. 8, 850–869 (1998)CrossRefMATHMathSciNet F. Facchinei, A. Fischer, C. Kanzow, Regularity properties of a semismooth reformulation of variational inequalities. SIAM J. Optim. 8, 850–869 (1998)CrossRefMATHMathSciNet
72.
Zurück zum Zitat F. Facchinei, A. Fischer, C. Kanzow, J.-M. Peng, A simply constrained optimization reformulation of KKT systems arising from variational inequalities. Appl. Math. Optim. 40, 19–37 (1999)CrossRefMATHMathSciNet F. Facchinei, A. Fischer, C. Kanzow, J.-M. Peng, A simply constrained optimization reformulation of KKT systems arising from variational inequalities. Appl. Math. Optim. 40, 19–37 (1999)CrossRefMATHMathSciNet
80.
Zurück zum Zitat M.C. Ferris, C. Kanzow, T.S. Munson, Feasible descent algorithms for mixed complementarity problems. Math. Program. 86, 475–497 (1999)CrossRefMATHMathSciNet M.C. Ferris, C. Kanzow, T.S. Munson, Feasible descent algorithms for mixed complementarity problems. Math. Program. 86, 475–497 (1999)CrossRefMATHMathSciNet
137.
Zurück zum Zitat A.F. Izmailov, A.L. Pogosyan, Active-set Newton methods for mathematical programs with vanishing constraints. Comput. Optim. Appl. 53, 425–452 (2012)CrossRefMATHMathSciNet A.F. Izmailov, A.L. Pogosyan, Active-set Newton methods for mathematical programs with vanishing constraints. Comput. Optim. Appl. 53, 425–452 (2012)CrossRefMATHMathSciNet
143.
Zurück zum Zitat A.F. Izmailov, M.V. Solodov, An active-set Newton method for mathematical programs with complementarity constraints. SIAM J. Optim. 19, 1003–1027 (2008)CrossRefMATHMathSciNet A.F. Izmailov, M.V. Solodov, An active-set Newton method for mathematical programs with complementarity constraints. SIAM J. Optim. 19, 1003–1027 (2008)CrossRefMATHMathSciNet
156.
Zurück zum Zitat A.F. Izmailov, A.L. Pogosyan, M.V. Solodov, Semismooth Newton method for the lifted reformulation of mathematical programs with complementarity constraints. Comput. Optim. Appl. 51, 199–221 (2012)CrossRefMATHMathSciNet A.F. Izmailov, A.L. Pogosyan, M.V. Solodov, Semismooth Newton method for the lifted reformulation of mathematical programs with complementarity constraints. Comput. Optim. Appl. 51, 199–221 (2012)CrossRefMATHMathSciNet
163.
164.
Zurück zum Zitat C. Kanzow, M. Fukushima, Solving box constrained variational inequalities by using the natural residual with D-gap function globalization. Oper. Res. Lett. 23, 45–51 (1998)CrossRefMATHMathSciNet C. Kanzow, M. Fukushima, Solving box constrained variational inequalities by using the natural residual with D-gap function globalization. Oper. Res. Lett. 23, 45–51 (1998)CrossRefMATHMathSciNet
183.
Zurück zum Zitat P.A. Lotito, L.A. Parente, M.V. Solodov, A class of variable metric decomposition methods for monotone variational inclusions. J. Convex Anal. 16, 857–880 (2009)MATHMathSciNet P.A. Lotito, L.A. Parente, M.V. Solodov, A class of variable metric decomposition methods for monotone variational inclusions. J. Convex Anal. 16, 857–880 (2009)MATHMathSciNet
189.
Zurück zum Zitat P. Marcotte, J.-P. Dussault, A note on a globally convergent Newton method for solving monotone variational inequalities. Oper. Res. Lett. 6, 35–42 (1987)CrossRefMATHMathSciNet P. Marcotte, J.-P. Dussault, A note on a globally convergent Newton method for solving monotone variational inequalities. Oper. Res. Lett. 6, 35–42 (1987)CrossRefMATHMathSciNet
190.
Zurück zum Zitat B. Martinet, Regularisation d’inequations variationelles par approximations successives. Revue Française d’Informatique et de Recherche Opérationelle 4, 154–159 (1970)MATHMathSciNet B. Martinet, Regularisation d’inequations variationelles par approximations successives. Revue Française d’Informatique et de Recherche Opérationelle 4, 154–159 (1970)MATHMathSciNet
216.
Zurück zum Zitat L.A. Parente, P.A. Lotito, M.V. Solodov, A class of inexact variable metric proximal point algorithms. SIAM J. Optim. 19, 240–260 (2008)CrossRefMathSciNet L.A. Parente, P.A. Lotito, M.V. Solodov, A class of inexact variable metric proximal point algorithms. SIAM J. Optim. 19, 240–260 (2008)CrossRefMathSciNet
217.
Zurück zum Zitat J.-M. Peng, M. Fukushima, A hybrid Newton method for solving the variational inequality problem via the D-gap function. Math. Program. 86, 367–386 (1999)CrossRefMATHMathSciNet J.-M. Peng, M. Fukushima, A hybrid Newton method for solving the variational inequality problem via the D-gap function. Math. Program. 86, 367–386 (1999)CrossRefMATHMathSciNet
218.
Zurück zum Zitat J.-M. Peng, C. Kanzow, M. Fukushima, A hybrid Josephy-Newton method for solving box constrained variational inequality problem via the D-gap function. Optim. Method. Softw. 10, 687–710 (1999)CrossRefMATHMathSciNet J.-M. Peng, C. Kanzow, M. Fukushima, A hybrid Josephy-Newton method for solving box constrained variational inequality problem via the D-gap function. Optim. Method. Softw. 10, 687–710 (1999)CrossRefMATHMathSciNet
228.
Zurück zum Zitat D. Ralph, Global convergence of damped Newtons method for nonsmooth equations, via the path search. Math. Oper. Res. 19, 352–389 (1994)CrossRefMATHMathSciNet D. Ralph, Global convergence of damped Newtons method for nonsmooth equations, via the path search. Math. Oper. Res. 19, 352–389 (1994)CrossRefMATHMathSciNet
236.
246.
Zurück zum Zitat M.V. Solodov, A class of globally convergent algorithms for pseudomonotone variational inequalities, in Complementarity: Applications, Algorithms and Extensions, ed. by M.C. Ferris, O.L. Mangasarian, J.-S. Pang (Kluwer Academic, Dordrecht, 2001), pp. 297–315CrossRef M.V. Solodov, A class of globally convergent algorithms for pseudomonotone variational inequalities, in Complementarity: Applications, Algorithms and Extensions, ed. by M.C. Ferris, O.L. Mangasarian, J.-S. Pang (Kluwer Academic, Dordrecht, 2001), pp. 297–315CrossRef
247.
Zurück zum Zitat M.V. Solodov, A class of decomposition methods for convex optimization and monotone variational inclusions via the hybrid inexact proximal point framework. Optim. Method. Softw. 19, 557–575 (2004)CrossRefMATHMathSciNet M.V. Solodov, A class of decomposition methods for convex optimization and monotone variational inclusions via the hybrid inexact proximal point framework. Optim. Method. Softw. 19, 557–575 (2004)CrossRefMATHMathSciNet
251.
Zurück zum Zitat M.V. Solodov, B.F. Svaiter, A globally convergent inexact Newton method for systems of monotone equations, in Reformulation – Nonsmooth, Piecewise Smooth, Semismooth and Smoothing Methods, ed. by M. Fukushima, L. Qi (Kluwer Academic, Dordrecht, 1999), pp. 355–369 M.V. Solodov, B.F. Svaiter, A globally convergent inexact Newton method for systems of monotone equations, in Reformulation – Nonsmooth, Piecewise Smooth, Semismooth and Smoothing Methods, ed. by M. Fukushima, L. Qi (Kluwer Academic, Dordrecht, 1999), pp. 355–369
252.
Zurück zum Zitat M.V. Solodov, B.F. Svaiter, A hybrid approximate extragradient–proximal point algorithm using the enlargement of a maximal monotone operator. Set-Valued Anal. 7, 323–345 (1999)CrossRefMATHMathSciNet M.V. Solodov, B.F. Svaiter, A hybrid approximate extragradient–proximal point algorithm using the enlargement of a maximal monotone operator. Set-Valued Anal. 7, 323–345 (1999)CrossRefMATHMathSciNet
253.
Zurück zum Zitat M.V. Solodov, B.F. Svaiter, A hybrid projection–proximal point algorithm. J. Convex Anal. 6, 59–70 (1999)MATHMathSciNet M.V. Solodov, B.F. Svaiter, A hybrid projection–proximal point algorithm. J. Convex Anal. 6, 59–70 (1999)MATHMathSciNet
254.
Zurück zum Zitat M.V. Solodov, B.F. Svaiter, A truly globally convergent Newton-type method for the monotone nonlinear complementarity problem SIAM J. Optim. 10, 605–625 (2000)MATHMathSciNet M.V. Solodov, B.F. Svaiter, A truly globally convergent Newton-type method for the monotone nonlinear complementarity problem SIAM J. Optim. 10, 605–625 (2000)MATHMathSciNet
255.
Zurück zum Zitat M.V. Solodov, B.F. Svaiter, Error bounds for proximal point subproblems and associated inexact proximal point algorithms. Math. Program. 88, 371–389 (2000)CrossRefMATHMathSciNet M.V. Solodov, B.F. Svaiter, Error bounds for proximal point subproblems and associated inexact proximal point algorithms. Math. Program. 88, 371–389 (2000)CrossRefMATHMathSciNet
256.
Zurück zum Zitat M.V. Solodov, B.F. Svaiter, A unified framework for some inexact proximal point algorithms. Numer. Func. Anal. Optim. 22, 1013–1035 (2001)CrossRefMATHMathSciNet M.V. Solodov, B.F. Svaiter, A unified framework for some inexact proximal point algorithms. Numer. Func. Anal. Optim. 22, 1013–1035 (2001)CrossRefMATHMathSciNet
257.
Zurück zum Zitat M.V. Solodov, B.F. Svaiter, A new proximal-based globalization strategy for the Josephy-Newton method for variational inequalities. Optim. Method. Softw. 17, 965–983 (2002)CrossRefMATHMathSciNet M.V. Solodov, B.F. Svaiter, A new proximal-based globalization strategy for the Josephy-Newton method for variational inequalities. Optim. Method. Softw. 17, 965–983 (2002)CrossRefMATHMathSciNet
259.
Zurück zum Zitat K. Taji, M. Fukushima, T. Ibaraki, A globally convergent Newton method for solving strongly monotone variational inequalities. Math. Program. 58, 369–383 (1993)CrossRefMATHMathSciNet K. Taji, M. Fukushima, T. Ibaraki, A globally convergent Newton method for solving strongly monotone variational inequalities. Math. Program. 58, 369–383 (1993)CrossRefMATHMathSciNet
Metadaten
Titel
Variational Problems: Globalization of Convergence
verfasst von
Alexey F. Izmailov
Mikhail V. Solodov
Copyright-Jahr
2014
DOI
https://doi.org/10.1007/978-3-319-04247-3_5