Primal-Dual Interior-Point Methods for Self-Scaled Cones

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Primal-Dual Interior-Point Methods for Self-Scaled Cones

In this paper we continue the development of a theoretical foundation for efficient primal-dual interior-point algorithms for convex programming problems expressed in conic form, when the cone and its associated barrier are self-scaled (see [NT97]). The class of problems under consideration includes linear programming, semidefinite programming and convex quadratically constrained quadratic prog...

متن کامل

Target Directions for Primal-dual Interior-point Methods for Self-scaled Conic Programming

The theory of self-scaled conic programming provides a uniied framework for the theories of linear programming, semideenite programming and convex quadratic programming with convex quadratic constraints. In the linear programming literature there exists a unifying framework for the analysis of various important classes of interior-point algorithms, known under the name of target-following algor...

متن کامل

New complexity analysis for primal-dual interior-point methods for self-scaled optimization problems

*Correspondence: [email protected] Department of Applied Mathematics, Pukyong National University, Busan, 608-737, Korea Abstract A linear optimization problem over a symmetric cone, defined in a Euclidean Jordan algebra and called a self-scaled optimization problem (SOP), is considered. We formulate an algorithm for a large-update primal-dual interior-point method (IPM) for the SOP by using a p...

متن کامل

Primal-dual interior-point methods

3. page 13, lines 12–13: Insert a phrase to stress that we consider only monotone LCP in this book, though the qualifier ”monotone” is often omitted. Replace the sentence preceding the formula (1.21) by The monotone LCP—the qualifier ”monotone” is implicit throughout this book—is the problem of finding vectors x and s in I R that satisfy the following conditions: 4. page 13, line −12: delete “o...

متن کامل

Parallel Primal-dual Interior-point Methods for Semidefinite Programs B-415 Parallel Primal-dual Interior-point Methods for Semidefinite Programs

The Semidefinite Program (SDP) is a fundamental problem in mathematical programming. It covers a wide range of applications, such as combinatorial optimization, control theory, polynomial optimization, and quantum chemistry. Solving extremely large-scale SDPs which could not be solved before is a significant work to open up a new vista of future applications of SDPs. Our two software packages S...

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

ژورنال

عنوان ژورنال: SIAM Journal on Optimization

سال: 1998

ISSN: 1052-6234,1095-7189

DOI: 10.1137/s1052623495290209