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dc.contributor.authorZhang, Yin
dc.date.accessioned 2018-06-18T17:52:01Z
dc.date.available 2018-06-18T17:52:01Z
dc.date.issued 2004-04
dc.identifier.citation Zhang, Yin. "Interior-Point Gradient Methods with Diagonal-Scalings for Simple-Bound Constrained Optimization." (2004) https://hdl.handle.net/1911/102018.
dc.identifier.urihttps://hdl.handle.net/1911/102018
dc.description.abstract In this paper, we study diagonally scaled gradient methods for simple-bound constrained optimization in a framework almost identical to that for unconstrained optimization, except that iterates are kept within the interior of the feasible region. We establish a satisfactory global convergence theory for such interior-point gradient methods applied to Lipschitz continuously differentiable functions without any further assumption. Moreover, a strong convergence result is obtained for a class of so-called L-nonlinear functions introduced in this paper which includes virtually all nonlinear functions that do not contain linear pieces.
dc.format.extent 18 pp
dc.title Interior-Point Gradient Methods with Diagonal-Scalings for Simple-Bound Constrained Optimization
dc.type Technical report
dc.date.note April 2004
dc.identifier.digital TR04-06
dc.type.dcmi Text


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