
The plain Newton-min algorithm to solve the linear complementarity problem (LCP for short) 0 ≤ x ⊥ (Mx+q) ≥ 0 can be viewed as a nonsmooth Newton algorithm without globalization technique to solve the system of piecewise linear equations min(x,Mx+q)=0, which is equivalent to the LCP. When M is an M-matrix of order n, the algorithm is known to converge in at most n iterations. We show in this paper that this result no longer holds when M is a P-matrix of order ≥ 3, since then the algorithm may cycle. P-matrices are interesting since they are those ensuring the existence and uniqueness of the solution to the LCP for an arbitrary q. Incidentally, convergence occurs for a P-matrix of order 1 or 2.
Newton’s method, Nonsmooth function, [INFO] Computer Science [cs], Probabilités et mathématiques appliquées, 004, 510, 519, P-matrix, Newton's method, Nonconvergence, Linear complementarity problem, M-matrix
Newton’s method, Nonsmooth function, [INFO] Computer Science [cs], Probabilités et mathématiques appliquées, 004, 510, 519, P-matrix, Newton's method, Nonconvergence, Linear complementarity problem, M-matrix
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