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Fast convergence of the simplified largest step path following algorithm
Author(s) -
Clóvis C. Gonzaga,
J. Frédéric Bonnans
Publication year - 1997
Publication title -
mathematical programming
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.358
H-Index - 131
eISSN - 1436-4646
pISSN - 0025-5610
DOI - 10.1007/bf02614379
Subject(s) - mathematics , jacobian matrix and determinant , monotone polygon , newton's method , algorithm , path (computing) , computation , convergence (economics) , numerical linear algebra , numerical analysis , matrix (chemical analysis) , nonlinear system , computer science , mathematical analysis , physics , geometry , materials science , quantum mechanics , economics , composite material , programming language , economic growth
Each master iteration of a simplified Newton algorithm for solving a system of equations starts by computing the Jacobian matrix and then uses this matrix in the computation ofp Newton steps: the first of these steps is exact, and the other are called “simplified”. In this paper we apply this approach to a large step path following algorithm for monotone linear complementarity problems. The resulting method generates sequences of objective values (duality gaps) that converge to zero with Q-orderp+1 in the number of master iterations, and with a complexity of $$O(\sqrt n L)$$ iterations.

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