Gradient Projection and Conditional Gradient Methods for Constrained Nonconvex Minimization

Minimization of a smooth function on a sphere or, more generally, on a smooth manifold, is the simplest non-convex optimization problem. It has a lot of applications. Our goal is to propose a version of the gradient projection algorithm for its solution and to obtain results that guarantee convergen...

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Bibliographic Details
Published in:Numerical functional analysis and optimization Vol. 41; no. 7; pp. 822 - 849
Main Authors: Balashov, M. V., Polyak, B. T., Tremba, A. A.
Format: Journal Article
Language:English
Published: Abingdon Taylor & Francis 18.05.2020
Taylor & Francis Ltd
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ISSN:0163-0563, 1532-2467
Online Access:Get full text
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