Thursday, 13:45 - 14:10 h, Room: MA 313

 

Alexander Zaslavski
The extragradient method for solving variational inequalities in the presence of computational errors

 

Abstract:
In a Hilbert space, we study the convergence of
the subgradient method to a solution of a variational inequality,
under the presence of computational errors. Most results known in
the literature establish convergence of optimization algorithms,
when computational errors are summable. In the present paper, the
convergence of the subgradient method for solving variational
inequalities is established for nonsummable computational errors.
We show that the subgradient method generates a good approximate
solution, if the sequence of computational errors is bounded from
above by a constant.

 

Talk 2 of the invited session Thu.2.MA 313
"Iterative methods for variational inequalities" [...]
Cluster 3
"Complementarity & variational inequalities" [...]

 

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