Preconditioning KKT systems §

نویسندگان

  • John C. Haws
  • Carl D. Meyer
  • C. D. MEYER
چکیده

Standard preconditioners, such as ILU factorizations, often break down in construction for KKT matrices. We compare several approaches for preconditioning KKT systems. The first applies a constraint preconditioner by incorporating robust factored approximations of (BB ) and BB , where B is the (2,1) block of the KKT matrix. In the second approach, we apply permutations and scalings that maximize the product of the magnitude of the diagonal entries of the matrix. This preprocessing improves the reliability of standard preconditioning techniques, and we experiment with a threshold-based ILU preconditioner. Our numerical experiments compare these approaches with exact constraint preconditioning and with a direct solver. Copyright c © 2001 John Wiley & Sons, Ltd.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

JOHN COURTNEY HAWS . Preconditioning KKT Systems . ( Under the direction of

JOHN COURTNEY HAWS. Preconditioning KKT Systems. (Under the direction of Professor Carl D. Meyer.) This research presents new preconditioners for linear systems. We proceed from the most general case to the very specific problem area of sparse optimal control. In the first most general approach, we assume only that the coefficient matrix is nonsingular. We target highly indefinite, nonsymmetric...

متن کامل

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 کامل

Towards Matrix-Free AD-Based Preconditioning of KKT Systems in PDE-Constrained Optimization

The presented approach aims at solving an equality constrained, finite-dimensional optimization problem, where the constraints arise from the discretization of some partial differential equation (PDE) on a given space grid. For this purpose, a stationary point of the Lagrangian is computed using Newton’s method, which requires the repeated solution of KKT systems. The proposed algorithm focuses...

متن کامل

Iterative Solution of Augmented Systems Arising in Interior Methods

Iterative methods are proposed for certain augmented systems of linear equations that arise in interior methods for general nonlinear optimization. Interior methods define a sequence of KKT equations that represent the symmetrized (but indefinite) equations associated with Newton’s method for a point satisfying the perturbed optimality conditions. These equations involve both the primal and dua...

متن کامل

A 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 کامل

ذخیره 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 نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2001