Abstract
In this paper we study nonlinear semidefinite programming problems. Convexity, duality and first-order optimality conditions for such problems are presented. A second-order analysis is also given. Second-order necessary and sufficient optimality conditions are derived. Finally, sensitivity analysis of such programs is discussed.
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References
F. Alizadeh, Combinatorial optimization with interior point methods and semi-definite matrices, Ph.D. Thesis, University of Minnesota, 1991.
F. Alizadeh, J.-P.A. Haeberly and M.L. Overton, Primal-dual interior-point methods for semidefinite programming, preprint, presented at theXV Symposium on Mathematical Programming, Ann Arbor, 1994.
F. Alizadeh, J.-P.A. Haeberly and M.L. Overton, Complementarity and nondegeneracy in semidefinite programming,Mathematical Programming 77 (1997) 111–128 (this issue).
V.I. Arnold, On matrices depending on parameters,Russian Mathematical Surveys 26 (1971) 29–43.
J.F. Bonnans, R. Cominetti and A. Shapiro, Second order necessary and sufficient optimality conditions under abstract constraints, Preprint.
M.W. Browne, Generalized least squares estimators in the analysis of covariance structures,South African Statistical Journal 8 (1974) 1–24.
R. Cominetti, Metric regularity, tangent sets and second order optimality conditions,Applied Mathematics and Optimization 21 (1990) 265–287.
A.V. Fiacco,Introduction to Sensitivity and Stability Analysis in Nonlinear Programming (Academic Press, New York, 1983).
E.G. Gol’shtein,Theory of Convex Programming, Translations of Mathematical Monographs, Vol. 36 (American Mathematical Society, Providence, RI, 1972).
M. Golubitsky and V. Guillemin,Stable Mappings and Their Singularities (Springer, New York, 1973).
R.A. Horn and C.R. Johnson,Topics in Matrix Analysis (Cambridge University Press, Cambridge, 1991).
H. Kawasaki, An envelope-like effect of infinitely many inequality constraints on second order necessary conditions for minimization problems,Mathematical Programming 41 (1988) 73–96.
S. Kurcyusz, On the existence and nonexistence of Lagrange multipliers in Banach spaces,Journal of Optimization Theory and Applications 20 (1976) 81–110.
P. Lancaster, On eigenvalues of matrices dependent on a parameter,Numerische Mathematik 6 (1964) 377–387.
A.W. Marshall and I. Olkin,Inequalities: Theory of Majorization and Its Applications (Academic Press, New York, 1979).
H. Maurer and J. Zowe, First and second-order necessary and sufficient optimality conditions for infinite-dimensional programming problems,Mathematical Programming 16 (1979) 98–110.
Y.E. Nesterov and A.S. Nemirovskii,Interior Point Polynomial Algorithms in Convex Programming, SIAM Studies in Applied Mathematics (SIAM, Philadelphia, PA, 1994).
M.L. Overton and R.S. Womersley, Second derivatives for optimizing eigenvalues of symmetric matrices,SIAM Journal on Matrix Analysis and Applications 16 (1995) 697–718.
G. Pataki, On the multiplicity of optimal eigenvalues, Management Science Research Report #MSRR-604, GSIA, Carnegie Mellon University.
J.P. Penot, On regularity conditions in mathematical programming,Mathematical Programming Study 19 (1982) 167–199.
S.M. Robinson, First order conditions for general nonlinear optimization,SIAM Journal on Applied Mathematics 30 (1976) 597–607.
R.T. Rockafellar,Convex Analysis (Princeton University Press, Princeton, NJ, 1970).
R.T. Rockafellar,Conjugate Duality and Optimization, Regional Conference Series in Applied Mathematics (SIAM, Philadelphia, PA, 1974).
R.Y. Rubinstein and A. Shapiro,Discrete Event Systems: Sensitivity Analysis and Stochastic Optimization by the Score Function Method (John Wiley and Sons, New York, NY, 1993).
A. Shapiro, Rank-reducibility of a symmetric matrix and sampling theory of minimum trace factor analysis,Psychometrika 47 (1982) 187–199.
A. Shapiro, On the unsolvability of inverse eigenvalue problems almost everywhere,Linear Algebra and Its Applications 49 (1983) 27–31.
A. Shapiro, Extremal problems on the set of nonnegative definite matrices,Linear Algebra and Its Applications 67 (1985) 7–18.
A. Shapiro, Perturbation theory of nonlinear programs when the set of optimal solutions is not a singleton,Applied Mathematics and Optimization 18 (1988) 215–229.
A. Shapiro, Sensitivity analysis of nonlinear programs and differentiability properties of metric projections,SIAM J. Control and Optimization 26 (1988) 628–645.
A. Shapiro and M.K.H. Fan, On eigenvalue optimization,SIAM J. on Optimization 5 (1995) 552–569.
A. Shapiro, Directional differentiability of the optimal value function in convex semi-infinite programming,Mathematical Programming 70 (1995) 149–157.
A. Shapiro, On uniqueness of Lagrange multipliers in optimization problems subject to cone constraints,SIAM J. on Optimization, to appear.
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Shapiro, A. First and second order analysis of nonlinear semidefinite programs. Mathematical Programming 77, 301–320 (1997). https://doi.org/10.1007/BF02614439
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DOI: https://doi.org/10.1007/BF02614439