Skip to main content
Top
Published in: Numerical Algorithms 4/2021

07-06-2020 | Original Paper

A new method for solving split equality problems via projection dynamical systems

Authors: Zengzhen Tan, Rong Hu, Yaping Fang

Published in: Numerical Algorithms | Issue 4/2021

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

In this paper, we propose a projection dynamical system for solving the split equality problem, or more generally the approximate split equality problem, in Hilbert spaces. The proposed dynamical system endows with the continuous behavior with time for Moudafi’s alternating CQ-algorithm and Byrne and Moudafi’s extended CQ-algorithm. Under mild conditions, we prove that the trajectory of the dynamical system converges weakly to a solution of the approximate split equality problem as time variable t goes to \(+\infty \). We further derive the exponential-type convergence provided that a bounded linear regularity property holds for the approximate split equality problem. Several numerical examples are given to demonstrate the validity and transient behavior of the proposed method.

Dont have a licence yet? Then find out more about our products and how to get one now:

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!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

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!

Literature
1.
go back to reference Moudafi, A.: Alternating CQ-algorithms for convex feasibility and split fixed-point problems. J. Nonlinear Convex Anal. 15, 809–818 (2014)MathSciNetMATH Moudafi, A.: Alternating CQ-algorithms for convex feasibility and split fixed-point problems. J. Nonlinear Convex Anal. 15, 809–818 (2014)MathSciNetMATH
2.
go back to reference Censor, Y., Elfving, T.: A multiprojection algorithm using Bregman projections in a product space. Numer. Algor. 8(2), 221–239 (1994)MathSciNetCrossRef Censor, Y., Elfving, T.: A multiprojection algorithm using Bregman projections in a product space. Numer. Algor. 8(2), 221–239 (1994)MathSciNetCrossRef
3.
go back to reference Byrne, C.: Iterative oblique projection onto convex sets and the split feasibility problem. Inverse Probl. 18, 441–453 (2002)MathSciNetCrossRef Byrne, C.: Iterative oblique projection onto convex sets and the split feasibility problem. Inverse Probl. 18, 441–453 (2002)MathSciNetCrossRef
4.
go back to reference Byrne, C.: A unified treatment of some iterative algorithms in signal processing and image reconstruction. Inverse Probl. 20, 103–120 (2004)MathSciNetCrossRef Byrne, C.: A unified treatment of some iterative algorithms in signal processing and image reconstruction. Inverse Probl. 20, 103–120 (2004)MathSciNetCrossRef
5.
go back to reference Censor, Y., Bortfeld, T., Martin, B., Trofimov, A.: A unified approach for inversion problems in intensity-modulated radiation therapy. Phys. Med. Biol. 51, 2353–2365 (2006)CrossRef Censor, Y., Bortfeld, T., Martin, B., Trofimov, A.: A unified approach for inversion problems in intensity-modulated radiation therapy. Phys. Med. Biol. 51, 2353–2365 (2006)CrossRef
6.
go back to reference Wang, J. H., Hu, Y. H., Li, C., Yao, J. C.: Linear convergence of CQ algorithms and applications in gene regulatory network inference. Inverse. Probl. 33, 055017 (2017)MathSciNetCrossRef Wang, J. H., Hu, Y. H., Li, C., Yao, J. C.: Linear convergence of CQ algorithms and applications in gene regulatory network inference. Inverse. Probl. 33, 055017 (2017)MathSciNetCrossRef
7.
go back to reference Attouch, H, Bolte, J, Redont, P., Soubeyran, A.: Alternating proximal algorithms for weakly coupled minimization problems Applications to dynamical games and PDEs. J. Convex Anal. 15, 485–506 (2008)MathSciNetMATH Attouch, H, Bolte, J, Redont, P., Soubeyran, A.: Alternating proximal algorithms for weakly coupled minimization problems Applications to dynamical games and PDEs. J. Convex Anal. 15, 485–506 (2008)MathSciNetMATH
8.
go back to reference Moudafi, A., Al-Shemas, E.: Simultaneous iterative methods for split equality problems. Trans. Math. Program. Appl. 1(2), 1–11 (2013) Moudafi, A., Al-Shemas, E.: Simultaneous iterative methods for split equality problems. Trans. Math. Program. Appl. 1(2), 1–11 (2013)
9.
go back to reference Byrne, C., Moudafi, A.: Extensions of the CQ algorithm for the split feasibility and split equality problems J. Nonlinear Convex Anal. 1–26 (2013) Byrne, C., Moudafi, A.: Extensions of the CQ algorithm for the split feasibility and split equality problems J. Nonlinear Convex Anal. 1–26 (2013)
10.
go back to reference Vuong, P. T., Strodiot, J. J., Nguyen, V. H.: A gradient projection method for solving split equality and split feasibility problems in Hilbert spaces. Optimization 64(11), 2321–2341 (2015)MathSciNetCrossRef Vuong, P. T., Strodiot, J. J., Nguyen, V. H.: A gradient projection method for solving split equality and split feasibility problems in Hilbert spaces. Optimization 64(11), 2321–2341 (2015)MathSciNetCrossRef
11.
go back to reference Dong, Q. L., He, S. N., Zhao, J.: Solving the split equality problem without prior knowledge of operator norms. Optimization 64(9), 1887–1906 (2015)MathSciNetCrossRef Dong, Q. L., He, S. N., Zhao, J.: Solving the split equality problem without prior knowledge of operator norms. Optimization 64(9), 1887–1906 (2015)MathSciNetCrossRef
12.
go back to reference Zhao, J.: Solving split equality fixed-point problem of quasi-nonexpansive mappings without prior knowledge of operators norms. Optimization 64(12), 2619–2630 (2015)MathSciNetCrossRef Zhao, J.: Solving split equality fixed-point problem of quasi-nonexpansive mappings without prior knowledge of operators norms. Optimization 64(12), 2619–2630 (2015)MathSciNetCrossRef
13.
go back to reference Wang, F. H.: On the convergence of CQ algorithm with variable steps for the split equality problem. Numer. Algor. 74, 927–935 (2017)MathSciNetCrossRef Wang, F. H.: On the convergence of CQ algorithm with variable steps for the split equality problem. Numer. Algor. 74, 927–935 (2017)MathSciNetCrossRef
14.
go back to reference Dong, Q. L., Li, X. H., He, S. N.: Outer perturbations of a projection method and two approximation methods for the split equality problem. Optimization 67(9), 1429–1446 (2018)MathSciNetCrossRef Dong, Q. L., Li, X. H., He, S. N.: Outer perturbations of a projection method and two approximation methods for the split equality problem. Optimization 67(9), 1429–1446 (2018)MathSciNetCrossRef
15.
go back to reference Shi, L. Y., Chen, R. D., Wu, Y. J.: Strong convergence of iterative algorithms for the split equality problem J. Inequal. Appl. 478 (2014) Shi, L. Y., Chen, R. D., Wu, Y. J.: Strong convergence of iterative algorithms for the split equality problem J. Inequal. Appl. 478 (2014)
16.
go back to reference Chang, S., Agarwal, R. P.: Strong convergence theorems of general split equality problems for quasi-nonexpansive mappings J. Inequal. Appl. 367 (2014) Chang, S., Agarwal, R. P.: Strong convergence theorems of general split equality problems for quasi-nonexpansive mappings J. Inequal. Appl. 367 (2014)
17.
go back to reference Dang, Y. Z., Yao, J., Gao, Y.: Relaxed two points projection method for solving the multiple-sets split equality problems. Numer. Algor. 78, 263–275 (2018)MathSciNetCrossRef Dang, Y. Z., Yao, J., Gao, Y.: Relaxed two points projection method for solving the multiple-sets split equality problems. Numer. Algor. 78, 263–275 (2018)MathSciNetCrossRef
18.
go back to reference Shi, L. Y., Ansari, Q. H., Wen, C. F.: Linear convergence of gradient projection algorithm for split equality problems. Optimization 67, 2347–2358 (2018)MathSciNetCrossRef Shi, L. Y., Ansari, Q. H., Wen, C. F.: Linear convergence of gradient projection algorithm for split equality problems. Optimization 67, 2347–2358 (2018)MathSciNetCrossRef
19.
go back to reference Tian, T. T., Shi, L. Y., Chen, R. D.: Linear convergence of the relaxed gradient projection algorithm for solving the split equality problems in Hilbert spaces J. Inequal. Appl. 80 (2019) Tian, T. T., Shi, L. Y., Chen, R. D.: Linear convergence of the relaxed gradient projection algorithm for solving the split equality problems in Hilbert spaces J. Inequal. Appl. 80 (2019)
20.
go back to reference Pyne, I. B.: Linear programming on an electronic analogue computer. Trans. Am. Inst. Electr. Eng. 75, 139–143 (1956) Pyne, I. B.: Linear programming on an electronic analogue computer. Trans. Am. Inst. Electr. Eng. 75, 139–143 (1956)
21.
go back to reference Kenndy, M. P., Chua, L. O.: Neural networks for nonlinear programming. IEEE Trans. Circuits Syst. 35(5), 554–562 (1988)MathSciNetCrossRef Kenndy, M. P., Chua, L. O.: Neural networks for nonlinear programming. IEEE Trans. Circuits Syst. 35(5), 554–562 (1988)MathSciNetCrossRef
22.
go back to reference Friesz, T. L., Bernstein, D. H., Mehta, N. J., Tobin, R. L., Ganjlizadeh, S.: Day-to-day dynamic network disequilibria and idealized traveler information systems. Oper. Res. 42, 1120–1136 (1994)MathSciNetCrossRef Friesz, T. L., Bernstein, D. H., Mehta, N. J., Tobin, R. L., Ganjlizadeh, S.: Day-to-day dynamic network disequilibria and idealized traveler information systems. Oper. Res. 42, 1120–1136 (1994)MathSciNetCrossRef
23.
go back to reference Forti, M., Nistri, P., Quincampoix, M.: Generalized neural network for nonsmooth nonlinear programming problems. IEEE Trans. Cricuits Syst 51(9) (2004) Forti, M., Nistri, P., Quincampoix, M.: Generalized neural network for nonsmooth nonlinear programming problems. IEEE Trans. Cricuits Syst 51(9) (2004)
24.
go back to reference Liu, Q. S., Wang, J.: A projection neural network for constrained quadratic minimax optimization. IEEE Trans. Neur. Netw. Lear 26(11) (2015) Liu, Q. S., Wang, J.: A projection neural network for constrained quadratic minimax optimization. IEEE Trans. Neur. Netw. Lear 26(11) (2015)
25.
go back to reference Xia, Y. S., Wang, J.: A bi-projection neural network for solving constrained quadratic optimization problems.IEEE Trans. Neur. Netw Lear. 27(2) (2016) Xia, Y. S., Wang, J.: A bi-projection neural network for solving constrained quadratic optimization problems.IEEE Trans. Neur. Netw Lear. 27(2) (2016)
26.
go back to reference Effati, S., Ghomashi, A., Nazemi, A. R.: Application of projection neural network in solving convex programming problems. Appl. Math. Comput. 188, 1103–1114 (2007)MathSciNetMATH Effati, S., Ghomashi, A., Nazemi, A. R.: Application of projection neural network in solving convex programming problems. Appl. Math. Comput. 188, 1103–1114 (2007)MathSciNetMATH
27.
go back to reference Tan, Z.Z., Hu, R., Zhu, M., Fang, Y.P.: A dynamical system method for solving the split feasibility problem. J. Ind. Manag. Optim. (accepted) Tan, Z.Z., Hu, R., Zhu, M., Fang, Y.P.: A dynamical system method for solving the split feasibility problem. J. Ind. Manag. Optim. (accepted)
28.
go back to reference Haraux, A., Jendoubi, M. A.: The convergence problem for dissipative autonomous systems: classical methods and recent advances springer (2015) Haraux, A., Jendoubi, M. A.: The convergence problem for dissipative autonomous systems: classical methods and recent advances springer (2015)
29.
go back to reference Bauschke, H. H., Combettes, P. L.: Convex Analysis and Monotone Operator Theory in Hilbert Spaces. Springer, Berlin (2011)CrossRef Bauschke, H. H., Combettes, P. L.: Convex Analysis and Monotone Operator Theory in Hilbert Spaces. Springer, Berlin (2011)CrossRef
30.
go back to reference Teschl, G.: Ordinary Differential Equations and Dynamical Systems providence(RI): American Mathematical Society (2012) Teschl, G.: Ordinary Differential Equations and Dynamical Systems providence(RI): American Mathematical Society (2012)
31.
go back to reference Federer, H.: Geometric Measure Theory. Springer, Berlin (1969)MATH Federer, H.: Geometric Measure Theory. Springer, Berlin (1969)MATH
32.
go back to reference Boţ, B. I., Csetnek, E. R.: A dynamical system associated with the fixed points set of a nonexpansive operator. J. Dyn. Differ. Equ. 29, 155–168 (2017)MathSciNetCrossRef Boţ, B. I., Csetnek, E. R.: A dynamical system associated with the fixed points set of a nonexpansive operator. J. Dyn. Differ. Equ. 29, 155–168 (2017)MathSciNetCrossRef
33.
go back to reference Brezis, H.: Functional Analysis, Sobolev Spaces and Partial Differential Equations. Springer, New York (2010)CrossRef Brezis, H.: Functional Analysis, Sobolev Spaces and Partial Differential Equations. Springer, New York (2010)CrossRef
34.
go back to reference Opial, Z.: Weak convergence of the sequence of successive approximations for nonexpansive mappings. Bull. Am. Math. Soc. 73, 591–597 (1967)MathSciNetCrossRef Opial, Z.: Weak convergence of the sequence of successive approximations for nonexpansive mappings. Bull. Am. Math. Soc. 73, 591–597 (1967)MathSciNetCrossRef
Metadata
Title
A new method for solving split equality problems via projection dynamical systems
Authors
Zengzhen Tan
Rong Hu
Yaping Fang
Publication date
07-06-2020
Publisher
Springer US
Published in
Numerical Algorithms / Issue 4/2021
Print ISSN: 1017-1398
Electronic ISSN: 1572-9265
DOI
https://doi.org/10.1007/s11075-020-00950-5

Other articles of this Issue 4/2021

Numerical Algorithms 4/2021 Go to the issue

Premium Partner