Spectral estimates for unreduced symmetric KKT systems arising from Interior Point methods
نویسندگان
چکیده
We consider symmetrized KKT systems arising in the solution of convex quadratic programming problems in standard form by Interior Point methods. Their coefficient matrices usually have 3×3 block structure and, under suitable conditions on both the quadratic programming problem and the solution, they are nonsingular in the limit. We present new spectral estimates for these matrices: the new bounds are established for the unpreconditioned matrices and for the matrices preconditioned by symmetric positive definite augmented preconditioners. Some of the obtained results complete the analysis recently given by Greif, Moulding and Orban in [SIAM J. Optim., 24 (2014), pp. 49-83]. The sharpness of the new estimates is illustrated by numerical experiments.
منابع مشابه
A Comparison of Reduced and Unreduced Symmetric Kkt Systems Arising from Interior Point Methods∗
We address the iterative solution of symmetric KKT systems arising in the solution of convex quadratic programming problems. Two strictly related and well established formulations for such systems are studied with particular emphasis on the effect of preconditioning strategies on their relation. Constraint and augmented preconditioners are considered, and the choice of the augmentation matrix i...
متن کاملA comparison of reduced and unreduced KKT systems arising from interior point methods
We address the iterative solution of KKT systems arising in the solution of convex quadratic programming problems. Two strictly related and well established formulations for such systems are studied with particular emphasis on the effect of preconditioning strategies on their relation. Constraint and augmented preconditioners are considered, and the choice of the augmentation matrix is discusse...
متن کاملCahier du GERAD G-2012-42 BOUNDS ON EIGENVALUES OF MATRICES ARISING FROM INTERIOR-POINT METHODS
Interior-point methods feature prominently among numerical methods for inequalityconstrained optimization problems, and involve the need to solve a sequence of linear systems that typically become increasingly ill-conditioned with the iterations. To solve these systems, whose original form has a nonsymmetric 3 × 3 block structure, it is common practice to perform block elimination and either so...
متن کاملBounds on Eigenvalues of Matrices Arising from Interior-Point Methods
Interior-point methods feature prominently among numerical methods for inequality-constrained optimization problems, and involve the need to solve a sequence of linear systems that typically become increasingly ill-conditioned with the iterations. To solve these systems, whose original form has a nonsymmetric 3×3 block structure, it is common practice to perform block elimination and either sol...
متن کاملBFGS-like updates of constraint preconditioners for sequences of KKT linear systems
We focus on efficient preconditioning techniques for sequences of KKT linear systems arising from the interior point solution of large convex quadratic programming problems. Constraint Preconditioners (CPs), though very effective in accelerating Krylov methods in the solution of KKT systems, have a very high computational cost in some instances, because their factorization may be the most time-...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Numerical Lin. Alg. with Applic.
دوره 23 شماره
صفحات -
تاریخ انتشار 2016