Mathematical Programming: Series A and B
George B. Dantzig: a legendary life in mathematical programming
Mathematical Programming: Series A and B
Complexity of large-update interior point algorithm for P*(K) linear complementarity problems
Computers & Mathematics with Applications
A new large-update interior point algorithm for P*(κ) linear complementarity problems
Journal of Computational and Applied Mathematics
Journal of Computational and Applied Mathematics
Polynomial interior-point algorithms for P*(K) horizontal linear complementarity problem
Journal of Computational and Applied Mathematics
Journal of Computational and Applied Mathematics
Interior point algorithm for P* nonlinear complementarity problems
Journal of Computational and Applied Mathematics
Flow pack facets of the single node fixed-charge flow polytope
Operations Research Letters
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The linear complementarity problem LCP(M,q) is to find a vector z in IR^n satisfying z^T(Mz+q)=0, Mz+q=0,z=0, where M=(m"i"j)@?IR^n^x^n and q@?IR^n are given. In this paper, we use the fact that solving LCP(M,q) is equivalent to solving the nonlinear equation F(x)=0 where F is a function from IR^n into itself defined by F(x)=(M+I)x+(M-I)|x|+q. We build a sequence of smooth functions F@?(p,x) which is uniformly convergent to the function F(x). We show that, an approximation of the solution of the LCP(M,q) (when it exists) is obtained by solving F@?(p,x)=0 for a parameter p large enough. Then we give a globally convergent hybrid algorithm which is based on vector divisions and the secant method for solving LCP(M,q). We close our paper with some numerical simulations to illustrate our theoretical results, and to show that this method can solve efficiently large-scale linear complementarity problems.