Cubically convergent method for locating a nearby vertex in linear programming
Author(s) -
R. A. Tapia,
Y. Zhang
Publication year - 1990
Publication title -
journal of optimization theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.109
H-Index - 91
eISSN - 1573-2878
pISSN - 0022-3239
DOI - 10.1007/bf00940473
Subject(s) - mathematics , linear programming , sequence (biology) , vertex (graph theory) , sign (mathematics) , rate of convergence , zero (linguistics) , theory of computation , convergence (economics) , combinatorics , mathematical optimization , mathematical analysis , algorithm , computer science , graph , genetics , linguistics , philosophy , economics , biology , economic growth , channel (broadcasting) , computer network
Given a point sufficiently close to a nondegenerate basic feasible solutionx* of a linear program, we show how to generate a sequence {pk} that converges to the 0–1 vector sign(x*) at aQ-cubic rate. This extremely fast convergence enables us to determine, with a high degree of certainty, which variables will be zero and which will be nonzero at optimality and then constructx* from this information.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom