Add to ORKGCover title.Includes bibliographical references (p. 41-44).Research partially supported by the Army Research Office. DAAL03-86-K-0171 Research partially supported by the National Science Foundation. ECS-8519058by Jonathan Eckstein, Dimitri P. Bertsekas
Cover title. "This paper consists mainly of dissertation research results of the first author."--Cov...
In this thesis we will analyse the two algorithms for linear programming (LP) presented by Stojkovic...
In this paper we propose an approach for solving convex quadratic programs (QPs) with lin-ear equali...
© 2016, Operations Research Society of China, Periodicals Agency of Shanghai University, Science Pr...
The alternating direction method of multipliers (ADMM) is a benchmark for solving convex programming...
Please note that the number of equations, propositions and theorems in supplemental mate-rials are d...
To solve the separable convex optimization problem with linear constraints, Eckstein and Bertsekas i...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/87...
Introduction to Linear Programming Linear programming is a very important class of problems, both a...
We consider the linearly constrained separable convex programming, whose objective function is separ...
Abstract Many problems in machine learning and other fields can be (re)for-mulated as linearly const...
The objective of this paper is to design an efficient and convergent ADMM (alternating direction met...
Abstract. Alternating direction methods are a common tool for general mathematical programming and o...
123 p., ref. bib. : 40 ref.This monograph is concerned with the mathematical and computational aspec...
Many problems in machine learning and other fields can be (re)formulated as linearly constrained sep...
Cover title. "This paper consists mainly of dissertation research results of the first author."--Cov...
In this thesis we will analyse the two algorithms for linear programming (LP) presented by Stojkovic...
In this paper we propose an approach for solving convex quadratic programs (QPs) with lin-ear equali...
© 2016, Operations Research Society of China, Periodicals Agency of Shanghai University, Science Pr...
The alternating direction method of multipliers (ADMM) is a benchmark for solving convex programming...
Please note that the number of equations, propositions and theorems in supplemental mate-rials are d...
To solve the separable convex optimization problem with linear constraints, Eckstein and Bertsekas i...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/87...
Introduction to Linear Programming Linear programming is a very important class of problems, both a...
We consider the linearly constrained separable convex programming, whose objective function is separ...
Abstract Many problems in machine learning and other fields can be (re)for-mulated as linearly const...
The objective of this paper is to design an efficient and convergent ADMM (alternating direction met...
Abstract. Alternating direction methods are a common tool for general mathematical programming and o...
123 p., ref. bib. : 40 ref.This monograph is concerned with the mathematical and computational aspec...
Many problems in machine learning and other fields can be (re)formulated as linearly constrained sep...
Cover title. "This paper consists mainly of dissertation research results of the first author."--Cov...
In this thesis we will analyse the two algorithms for linear programming (LP) presented by Stojkovic...
In this paper we propose an approach for solving convex quadratic programs (QPs) with lin-ear equali...