Solving Regularized Linear Programs Using Barrier Methods and KKT Systems PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Solving Regularized Linear Programs Using Barrier Methods and KKT Systems PDF full book. Access full book title Solving Regularized Linear Programs Using Barrier Methods and KKT Systems by Stanford University. Engineering-Economic Systems and Operations Research Department. Systems Optimization Laboratory. Download full books in PDF and EPUB format.
Author: Stanford University. Engineering-Economic Systems and Operations Research Department. Systems Optimization Laboratory Publisher: ISBN: Category : Linear programming Languages : en Pages : 18
Book Description
Abstract: "We discuss methods for solving the key linear equations (KKT systems) within primal-dual barrier methods for linear programming. To allow sparse indefinite Cholesky-type factorizations of the KKT systems, we perturb the problem slightly. Perturbations improve the stability of the Cholesky factorizations, but affect the efficiency of the cross-over to simplex (to obtain a basic solution to the original problem). We explore these effects by running OSL on the larger Netlib examples."
Author: Stanford University. Engineering-Economic Systems and Operations Research Department. Systems Optimization Laboratory Publisher: ISBN: Category : Linear programming Languages : en Pages : 18
Book Description
Abstract: "We discuss methods for solving the key linear equations (KKT systems) within primal-dual barrier methods for linear programming. To allow sparse indefinite Cholesky-type factorizations of the KKT systems, we perturb the problem slightly. Perturbations improve the stability of the Cholesky factorizations, but affect the efficiency of the cross-over to simplex (to obtain a basic solution to the original problem). We explore these effects by running OSL on the larger Netlib examples."
Author: Stanford University. Engineering-Economic Systems and Operations Research Department. Systems Optimization Laboratory Publisher: ISBN: Category : Linear programming Languages : en Pages : 16
Book Description
Abstract: "We discuss methods for solving the key linear equations within primal-dual barrier methods for linear and quadratic programming. Following Freund and Jarre, we explore methods for reducing the Newton equations to 2 X 2 block systems (KKT systems) in a stable manner. Some methods require partitioning the variables into two or more parts, but a simpler approach is derived and recommended. To justify symmetrizing the KKT systems, we assume the use of a sparse solver whose numerical properties are independent of row and column scaling. In particular, we regularize the problem and use indefinite Cholesky-type factorizations. An implementation within OSL is tested on the larger NETLIB examples."
Author: Géry de Saxcé Publisher: Springer Science & Business Media ISBN: 9400754248 Category : Technology & Engineering Languages : en Pages : 220
Book Description
To determine the carrying capacity of a structure or a structural element susceptible to operate beyond the elastic limit is an important task in many situations of both mechanical and civil engineering. The so-called “direct methods” play an increasing role due to the fact that they allow rapid access to the request information in mathematically constructive manners. They embrace Limit Analysis, the most developed approach now widely used, and Shakedown Analysis, a powerful extension to the variable repeated loads potentially more economical than step-by-step inelastic analysis. This book is the outcome of a workshop held at the University of Sciences and Technology of Lille. The individual contributions stem from the areas of new numerical developments rendering this methods more attractive for industrial design, extension of the general methodology to new horizons, probabilistic approaches and concrete technological applications.
Author: Stanford University. Engineering-Economic Systems and Operations Research Department. Systems Optimization Laboratory
Author: Stanford University. Engineering-Economic Systems and Operations Research Department. Systems Optimization Laboratory
Author: 
Author: Loyce M. Adams
Author: Stanford University. Engineering-Economic Systems and Operations Research Department. Systems Optimization Laboratory
Author: Géry de Saxcé
Author: Stanford University. Department of Operations Research. Systems Optimization Laboratory
Author: Michael A. Saunders
Author: Stanford University. Department of Operations Research. Systems Optimization Laboratory
Author: 
Author: Joseph R. Shinnerl