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Volumn 11, Issue 1, 1999, Pages 515-544

Mixed linear and semidefinite programming for combinatorial and quadratic optimization

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMPUTATIONAL COMPLEXITY; CONSTRAINT THEORY; GRAPH THEORY; LINEAR PROGRAMMING; RANDOM PROCESSES;

EID: 0033294696     PISSN: 10556788     EISSN: None     Source Type: Journal    
DOI: 10.1080/10556789908805761     Document Type: Article
Times cited : (30)

References (22)
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  • 9
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    • Improved approximation algorithms for max k-cut and max bisection
    • Frieze, A. and Jerrum, M. (1995). Improved approximation algorithms for max k-cut and max bisection, Proc. 4th IPCO Conference 1-13.
    • (1995) Proc. 4th IPCO Conference , pp. 1-13
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  • 10
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    • Semidefinite programming relaxation for nonconvex quadratic programs
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    • Fujie, T.1    Kojima, M.2
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    • Research Report B-330, Department of Mathematical and Computing Sciences, Tokyo Institute of Technology, Oh-Okayama, Meguro-ku, Tokyo September
    • Fujisawa, K., Fukuda, M., Kojima, M. and Nakata, K. (1997). Numerical evaluation of SDPA (semidefinite programming algorithm), Research Report B-330, Department of Mathematical and Computing Sciences, Tokyo Institute of Technology, Oh-Okayama, Meguro-ku, Tokyo 152, September.
    • (1997) Numerical Evaluation of SDPA (Semidefinite Programming Algorithm) , pp. 152
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  • 12
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    • Improved approximation algorithms for Maximum Cut and Satisfiability problems using semidefinite programming
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    • (1997) A Spectral Bundle Method for Semidefinite Programming
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.