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Volumn 22, Issue 4-5, 1998, Pages 145-150

On the long-step path-following method for semidefinite programming

Author keywords

Long step path following; Semidefinite programming; Symmetric primal dual transformation

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; CRITICAL PATH ANALYSIS; DECISION THEORY; ITERATIVE METHODS; MATHEMATICAL TRANSFORMATIONS;

EID: 0032058382     PISSN: 01676377     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-6377(98)00014-5     Document Type: Article
Times cited : (4)

References (17)
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    • Primal-dual path following algorithms for semidefinite programming
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    • Monteiro, R.D.C.1
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    • Polynomial convergence of primal-dual algorithms for semidefinite programming based on Monteiro and Zhang family of search directions
    • School of Industrial and Systems Engineering, Georgia Tech, Atlanta, GA, USA
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    • Nesterov, Y.1    Todd, M.J.2
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    • Primal-dual interior-point methods for self-scaled cones
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    • Y. Nesterov, M.J. Todd, Primal-dual interior-point methods for self-scaled cones, Technical Report 1125, School of Operations Research and Industrial Engineering, Cornell University, Ithaca, New York, 1995, SIAM J. Optim., to appear.
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    • Nesterov, Y.1    Todd, M.J.2
  • 15
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    • Report 9636/A, Econometric Institute, Erasmus University Rotterdam, Rotterdam, The Netherlands
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.