Gradient Projection and Conditional Gradient Methods for Constrained Nonconvex Minimization
نویسندگان
چکیده
منابع مشابه
Regularized gradient-projection methods for finding the minimum-norm solution of the constrained convex minimization problem
Let H be a real Hilbert space and C be a nonempty closed convex subset of H. Assume that g is a real-valued convex function and the gradient ∇g is [Formula: see text]-ism with [Formula: see text]. Let [Formula: see text], [Formula: see text]. We prove that the sequence [Formula: see text] generated by the iterative algorithm [Formula: see text], [Formula: see text] converges strongly to [Formul...
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Manuscript received January 01, 2014; revised March 28, 2014. This work was supported in part by King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia. Cyril Dennis Enyi is with King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia. (corresponding author: +966550782390; e-mail: cenyi@ kfupm.edu.sa). Mukiawa Edwin Soh is with King Fahd University of Petroleum and ...
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ژورنال
عنوان ژورنال: Numerical Functional Analysis and Optimization
سال: 2020
ISSN: 0163-0563,1532-2467
DOI: 10.1080/01630563.2019.1704780