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Volumn 143, Issue 2, 2002, Pages 291-310

Improving complexity of structured convex optimization problems using self-concordant barriers

Author keywords

Convex optimization; Entropy optimization; Geometric optimization; Interior point methods; lp norm optimization; Self concordant barriers

Indexed keywords

COMPUTATIONAL COMPLEXITY; ITERATIVE METHODS; MATHEMATICAL PROGRAMMING; OPTIMIZATION; SET THEORY;

EID: 0036883814     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0377-2217(02)00297-7     Document Type: Conference Paper
Times cited : (7)

References (19)
  • 12
    • 84890764112 scopus 로고    scopus 로고
    • Self-regular proximities and new search directions for linear and semidefinite optimization
    • Technical report, Department of Computing and Software, McMaster University, Hamilton, Ontario, Canada, March 2000, DOI 10.1007/s101070200296, online publication April 12
    • (2000) Mathematical Programming
    • Peng, J.1    Roos, C.2    Terlaky, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.