Jul 8, 2010 · Abstract. Some new properties of the Projection DC decomposition algorithm (we call it Algorithm A) and the Proximal DC decomposition algorithm ...
Jul 8, 2010 · Abstract Some new properties of the Projection DC decomposition algorithm (we call it Algorithm A) and the Proximal DC decomposition ...
The first property states that any iterative sequence generated by the algorithm is root linearly convergent to a Karush–Kuhn–Tucker point, provided that the ...
[PDF] Properties of Two DC Algorithms in Quadratic Programming
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Properties of Two DC Algorithms in Quadratic Programming. H. A. Le Thi1, T. Pham Dinh2, and N. D. Yen3. Abstract: Some new properties of the Projection DC ...
Some new properties of the Projection DC decomposition algorithm (we call it Algorithm A) and the Proximal DC decomposition algorithm (we call it Algorithm ...
Properties of two DC algorithms in quadratic programming ; Behavior of DCA sequences for solving the trust-region subproblem. Le Thi, Hoai An, (2012) ; Binary ...
If there are more than two downstream branches for a certain node, this node can be broken into several two downstream branch nodes with zero length in between.
Four illustrative examples for the fundamental properties of DC program- ming and DCA are given in Chapter 1. Chapter 2. Analysis of a Solution Algorithm in.
Jul 15, 2019 · We propose a local dc decomposition algorithm which updates in each iteration a better dc decomposition and yields a faster convergence rate for ...
Properties of Two DC Algorithms in Quadratic Programming. ABSTRACT, Some new properties of the Projection DC decomposition algorithm (we call it Algorithm A) ...
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