메뉴 건너뛰기




Volumn 27, Issue 1, 1983, Pages 1-33

A numerically stable dual method for solving strictly convex quadratic programs

Author keywords

Dual Algorithms; Matrix Factorizations; Positive Definite Quadratic Programming; Successive Quadratic Programming Methods

Indexed keywords

QUADRATIC PROGRAMMING;

EID: 0020826623     PISSN: 00255610     EISSN: 14364646     Source Type: Journal    
DOI: 10.1007/BF02591962     Document Type: Article
Times cited : (742)

References (41)
  • 4
    • 0001859637 scopus 로고
    • Constrained minimization using recursive quadratic programming: some alternative subproblem formulations
    • L.C.W., Dixon, G.P., Szego, North-Holland, Amsterdam
    • (1975) Towards global optimization , pp. 341-349
    • Biggs, M.G.1
  • 11
    • 84932539007 scopus 로고    scopus 로고
    • R. Fletcher, “The calculation of feasible points for linearly constrained optimization problems”.
  • 12
    • 84932569300 scopus 로고    scopus 로고
    • R. Fletcher, “A FORTRAN subroutine for quadratic programming”, UKAEA Research Group Report. AERE R6370 (1970).
  • 13
    • 84932513384 scopus 로고    scopus 로고
    • R. Fletcher, “A general quadratic programming algorithm”, Journal of the Institute of Mathematics and Its Applications (1971) 76–91.
  • 21
  • 28
    • 84932592754 scopus 로고    scopus 로고
    • W. Murray “An algorithm for finding a local minimum of an indefinite quadratic program”, NPL NAC Report No. 1 (1971).
  • 34
    • 84932564795 scopus 로고    scopus 로고
    • J.B. Rosen and S. Suzuki, “Construction of nonlinear programming test problems”, Communications of the ACM (1965) 113.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.