Displaying similar documents to “Conjugate gradient algorithms for conic functions”

An imperfect conjugate gradient algorithm

Fridrich Sloboda (1982)

Aplikace matematiky

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A new biorthogonalization algorithm is defined which does not depend on the step-size used. The algorithm is suggested so as to minimize the total error after n steps if imperfect steps are used. The majority of conjugate gradient algorithms are sensitive to the exactness of the line searches and this phenomenon may destroy the global efficiency of these algorithms.