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Symmetric Duality and Complementarity in Non-Convex Programming

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Operations Research in Development Sector

Part of the book series: Asset Analytics ((ASAN))

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Abstract

In this paper the duality results for a pair of symmetric duals in non-convex programming are obtained by using complementarity. The functions considered are strong pseudo-convex and strong pseudo concave.

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Author information

Authors and Affiliations

  1. Faculty of Science and Technology, ICFAI Foundation of Higher Education, Hyderabad, 501203, Telangana, India

    Jyotiranjan Nayak

  2. Sudhananda Engineering and Research Centre, Bhubaneswar, 752115, Odisha, India

    Sasmita Mishra

Authors
  1. Jyotiranjan Nayak
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  2. Sasmita Mishra
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Corresponding author

Correspondence to Jyotiranjan Nayak .

Editor information

Editors and Affiliations

  1. Vinod Gupta School of Management, Indian Institute of Technology Kharagpur, Kharagpur, India

    Arabinda Tripathy

  2. School of Management, KIIT University, Bhubaneswar, India

    Rabi Narayan Subudhi

  3. Department of Computer Science and Engineering, Siksha ‘O’ Anusandhan University, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  4. Department of Mathematics, Faculty of Science and Technology, ICFAI Foundation of Higher Education University, Hyderabad, India

    Jyotiranjan Nayak

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Nayak, J., Mishra, S. (2019). Symmetric Duality and Complementarity in Non-Convex Programming. In: Tripathy, A., Subudhi, R., Patnaik, S., Nayak, J. (eds) Operations Research in Development Sector. Asset Analytics. Springer, Singapore. https://doi.org/10.1007/978-981-13-1954-9_4

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