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Volumn , Issue , 2001, Pages 296-305

Smoothed analysis of algorithms: Why the simplex algorithm usually takes polynomial time

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; LINEAR PROGRAMMING; PERTURBATION TECHNIQUES; POLYNOMIALS; VECTORS;

EID: 0034819504     PISSN: 07349025     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (130)

References (26)
  • 2
    • 0022145768 scopus 로고
    • A simplex algorithm whose average number of steps is bounded between two quadratic functions of the smaller dimension
    • Oct.
    • (1985) Journal of the ACM , vol.32 , Issue.4 , pp. 871-895
    • Adler, I.1    Megiddo, N.2
  • 13
    • 0003574558 scopus 로고
    • The simplex algorithm with the pivot rule of maximizing improvement criterion
    • (1973) Discrete Math. , vol.4 , pp. 367-377
    • Jeroslow, R.G.1
  • 20
    • 0022733989 scopus 로고
    • Improved asymptotic analysis of the average number of steps performed by the self-dual simplex algorithm
    • (1986) Mathematical Programming , vol.35 , Issue.2 , pp. 140-172
    • Megiddo, N.1
  • 26
    • 0022739464 scopus 로고
    • Polynomial expected behavior of a pivoting algorithm for linear complementarity and linear programming problems
    • (1986) Mathematical Programming , vol.35 , pp. 173-192
    • Todd, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.