| S. AL-HOMIDAN. Hybrid methods for optimization problems with positive semidefinite matrix constraints. PhD thesis, University of Dundee, 1993. |
....problem is (CDMo) tz : min f(D) subject to D , where denotes the cone of EDMs. Applications of EDMs abound: e.g. molecular conformation problems in chemistry [9] 31] multidimensional scaling and multivariate analysis problems in statistics [25] 26] genetics, geography, and others, [1]. Many of these applications require a low embedding dimension, e.g. r = 3. Theoretical properties of EDMs can be found in e.g. 7] 11] 15] 16] 21] 24] 34] This includes characterizations as well as graph theoretic conditions for existence of completions. More information can be ....
....is from the interior point community who have completed so much successful work on linear programming. At the moment, interior point methods are the most successful algorithms for general SDP problems, see e.g. the above survey articles as well as the books [30] 46] and the recent theses [4] [1], 22] 35] 17] 32] 33] The above references provide some evidence of the current high level of research activity in these areas. The main contribution of this paper is a new approach to solving EDMCP. This approach is different than those in the literature in two ways. First we change ....
S. AL-HOMIDAN. Hybrid methods for optimization problems with positive semidefinite matrix constraints. PhD thesis University of Dundee 1993.
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S. AL-HOMIDAN. Hybrid methods for optimization problems with positive semidefinite matrix constraints. PhD thesis, University of Dundee, 1993.
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S. AL-HOMIDAN. Hybrid methods for optimization problems with positive semidefinite matrix constraints. PhD thesis, University of Dundee, 1993.
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S. AL-HOMIDAN. Hybrid methods for optimization problems with positive semide nite matrix constraints. PhD thesis, University of Dundee, 1993.
No context found.
S. AL-HOMIDAN. Hybrid methods for optimization problems with positive semidefinite matrix constraints. PhD thesis, University of Dundee, 1993.
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