2013Yugoslav journal of operations researchOpen access

Scarf’s generalization of linear complementarity problem revisited

Neogy Samir, Sinha Sagnik, Das Arup, Gupta Abhijit

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Abstract

In this paper, we revisit Scarf’s generalization of the linear complementarity problem, formulate this as a vertical linear complementarity problem and obtain some new results on this generalization. Also, a neural network model for solving Scarf’s generalized complementarity problems is proposed. Numerical simulation results show that the proposed model is feasible and efficient.

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What this paper is about

In this paper, we revisit Scarf’s generalization of the linear complementarity problem, formulate this as a vertical linear complementarity problem and obtain some new results on this generalization. Also, a neural network model for solving Scarf’s generalized complementarity problems is proposed. Numerical simulation results show that the proposed model is feasible and efficient.

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Available abstract

In this paper, we revisit Scarf’s generalization of the linear complementarity problem, formulate this as a vertical linear complementarity problem and obtain some new results on this generalization. Also, a neural network model for solving Scarf’s generalized complementarity problems is proposed. Numerical simulation results show that the proposed model is feasible and efficient.

Key concepts: Complementarity (molecular biology), Mixed complementarity problem, Linear complementarity problem, Complementarity theory, Generalization, Mathematical optimization, Mathematics, Applied mathematics

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