A Full-Newton Step Feasible Interior-Point Algorithm for the Special Weighted Linear Complementarity Problems Based on Algebraic Equivalent Transformation
Received:July 22, 2024  Revised:March 24, 2025
Key Words: interior-point algorithm   weighted linear complementarity problem   algebraic equivalent transformation   search direction   iteration complexity  
Fund Project:University Science Research Project of Anhui Province
Author NameAffiliation
Jing Ge Anhui Institute of Information Technology 
Mingwang Zhang* Anhui Institute of Information Technology 
Panjie Tian Anhui Institute of Information Technology 
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Abstract:
      In this paper, we propose a new full-Newton step feasible interior-point algorithm for the special weighted linear complementarity problems. The proposed algorithm employs the technique of algebraic equivalent transformation to derive the search direction. It is shown that the proximity measure reduces quadratically at each iteration. Moreover, its iteration bound of the algorithm is as good as the best-known polynomial complexity for these types of problems.Furthermore, numerical results are presented to show the efficiency of the proposed algorithm.
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