Skip to main content
Log in

Analysis of decomposition algorithms via nonlinear splitting functions

  • Contributed Papers
  • Published:
Journal of Optimization Theory and Applications Aims and scope Submit manuscript

Abstract

This paper provides a structural analysis of decomposition algorithms using a generalization of linear splitting methods. This technique is used to identify explicitly the essential similarities and differences between several classical algorithms. Similar concepts can be used to analyze a large class of multilevel hierarchical structures.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Takahara, Y.,A Multi-Level Structure for a Class of Dynamical Optimization Problems, Case Western Reserve University, Cleveland, Ohio, MS Thesis, 1965.

    Google Scholar 

  2. Lasdon, L. S., andSchoeffer, J. D.,A Multilevel Technique for Optimization, Proceedings of Joint Automatic Control Conference, Troy, New York, 1965.

  3. Findeisen, W.,Parametric Optimization by Primal Method in Multilevel Systems, IEEE Transactions on Systems Science and Cybernetics, Vol. SSC-4, pp. 155–164, 1968.

    Google Scholar 

  4. Lasdon, L. S.,Optimization Theory for Large-Scale Systems, The Macmillan Company, New York, New York, 1970.

    Google Scholar 

  5. Mesarovic, M. D., Macko, D., andTakahara, Y.,Theory of Multilevel, Hierarchical Systems, Academic Press, New York, New York, 1970.

    Google Scholar 

  6. Pearson, J. B.,Dynamic Decomposition Techniques, Optimization Methods for Large Systems, Edited by D. A. Wismer, McGraw-Hill Book Company, New York, New York, 1971.

    Google Scholar 

  7. Laub, A. J.,Decentralization of Optimization Problems by Iterative Coordination, University of Minnesota, Minneapolis, Minnesota, PhD Thesis, 1974.

    Google Scholar 

  8. Singh, M. G., andTitli, A.,Closed-Loop Hierarchical Control for Nonlinear Systems Using Quasilinearization, Automatica, Vol. 11, pp. 541–546, 1975.

    Google Scholar 

  9. Cohen, G.,On an Algorithm of Decentralized Optimal Control, Journal of Mathematical Analysis and Applications, Vol. 59, pp. 242–259, 1977.

    Google Scholar 

  10. Cohen, G.,Optimization by Decomposition and Coordination: A Unified Approach, IEEE Transactions on Automatic Control, Vol. AC-23, pp. 222–232, 1978.

    Google Scholar 

  11. Sandell, N. R., Jr.,Decomposition versus Decentralization in Large-Scale Systems Theory, Proceedings of 1976 IEEE Conference on Decision and Control, Clearwater, Florida, 1976.

  12. Looze, D. P., andSandell, N. R., Jr.,Decomposition of Linear, Decentralized Stochastic Control Problems, IFAC Workshop on Control and Management of Integrated Industrial Complexes, Toulouse, France, 1977.

  13. Lehtomaki, N. A.,Iterative Decomposition of the Lyapunov and Riccati Equations, Massachusetts Institute of Technology, Cambridge, Massachusetts, MS Thesis, 1978.

    Google Scholar 

  14. Ortega, J. M., andRheinboldt, W. C.,Iterative Solution of Nonlinear Equations in Several Variables, Academic Press, New York, New York, 1970.

    Google Scholar 

  15. Kitchen, J. W., Jr.,Concerning the Convergence of Iterates to Fixed Points, Studia Mathematica, Vol. 27, pp. 247–249, 1966.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

Communicated by P. Varaiya

This research was supported in part by ONR Contract No. N00014-76-C-0346, in part by the US Department of Energy, Division of Electric Energy Systems, Contract No. ERDA-E(49-18)-2087 at the Massachusetts Institute of Technology, and in part by the Joint Services Electronics Program, Contract No. DAAG-29-78-C-0016.

The authors would like to thank Dr. P. Varaiya, University of California at Berkeley, and Dr. D. Bertsekas for their comments and suggestions.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Looze, D.P., Sandell, N.R. Analysis of decomposition algorithms via nonlinear splitting functions. J Optim Theory Appl 34, 371–382 (1981). https://doi.org/10.1007/BF00934678

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00934678

Key Words

Navigation