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Volumn 6, Issue 4, 1996, Pages 1007-1024

Semidefinite programming: A path-following algorithm for a linear-quadratic functional

Author keywords

Interior point methods; Quadratic programming; Semidefinite programming

Indexed keywords


EID: 0030505669     PISSN: 10526234     EISSN: None     Source Type: Journal    
DOI: 10.1137/S1052623494270741     Document Type: Article
Times cited : (9)

References (19)
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  • 3
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  • 4
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    • Boyd, S.1    Vandenberghe, L.2
  • 6
    • 84966258893 scopus 로고
    • The nonlinear geometry of linear programming I
    • D. A. BAYER AND J. C. LAGARIAS, The nonlinear geometry of linear programming I, Trans. Amer. Math. Soc., 314 (1989), pp. 499-526.
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  • 8
    • 3643136854 scopus 로고
    • On a matrix generalization of affine-scaling vector fields
    • L. FAYBUSOVICH, On a matrix generalization of affine-scaling vector fields, SIAM J. Matrix Anal. Appl., 16 (1995), pp. 886-897.
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  • 10
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    • Path-following methods for linear programming
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  • 11
    • 85033739409 scopus 로고    scopus 로고
    • Barrier functions in interior point methods
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    • O. GULER, Barrier Functions in Interior Point Methods, Math. Oper. Res., to appear.
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  • 13
    • 0027656654 scopus 로고
    • Interior-point method for minimizing the maximum eigenvalue of a linear combination of matrices
    • F. JARRE, Interior-point method for minimizing the maximum eigenvalue of a linear combination of matrices, SIAM J. Control Optim., 31 (1993), pp. 1360-1377.
    • (1993) SIAM J. Control Optim. , vol.31 , pp. 1360-1377
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  • 15
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    • Self-scaled cones and interior-point methods in nonlinear programming
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  • 16
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    • Optimality conditions and duality theory for minimizing sums of the largest eigenvalues of symmetric matrices
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  • 18
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    • A polynomial method of approximate centers for linear programming
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  • 19
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    • Semidefinite programming
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.