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Information Journal Paper

Title

PROJECTED DYNAMICAL SYSTEMS AND OPTIMIZATION PROBLEMS

Pages

  85-100

Abstract

 We establish a relationship between general constrained pseudoconvex OPTIMIZATION PROBLEMS and globally projected DYNAMICAL SYSTEMS. A corresponding novel neural network model, which is globally convergent and stable in the sense of Lyapunov, is proposed. Both theoretical and numerical approaches are considered. Numerical simulations for three constrained nonlinear OPTIMIZATION PROBLEMS are given to show that the numerical behaviors are in good agreement with the theoretical results.

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    • Cite

    APA: Copy

    MALEK, A., EZAZIPOUR, S., & HOSSEINIPOUR MAHANI, N.. (2011). PROJECTED DYNAMICAL SYSTEMS AND OPTIMIZATION PROBLEMS. BULLETIN OF THE IRANIAN MATHEMATICAL SOCIETY, 37(2), 85-100. SID. https://sid.ir/paper/579672/en

    Vancouver: Copy

    MALEK A., EZAZIPOUR S., HOSSEINIPOUR MAHANI N.. PROJECTED DYNAMICAL SYSTEMS AND OPTIMIZATION PROBLEMS. BULLETIN OF THE IRANIAN MATHEMATICAL SOCIETY[Internet]. 2011;37(2):85-100. Available from: https://sid.ir/paper/579672/en

    IEEE: Copy

    A. MALEK, S. EZAZIPOUR, and N. HOSSEINIPOUR MAHANI, “PROJECTED DYNAMICAL SYSTEMS AND OPTIMIZATION PROBLEMS,” BULLETIN OF THE IRANIAN MATHEMATICAL SOCIETY, vol. 37, no. 2, pp. 85–100, 2011, [Online]. Available: https://sid.ir/paper/579672/en

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