Add to ORKGThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil Engineering, 1989.Archives copy bound in 1 v.Includes bibliographical references (leaves 308-323).by Jonathan Eckstein.Ph.D
Many statistical learning problems can be posed as minimization of a sum of two convex functions, on...
The Douglas-Rachford splitting method plays an important role in optimization. We modify the method ...
A novel monotonization method is proposed for converting a non-monotone programming problem into a m...
This book brings together research articles and state-of-the-art surveys in broad areas of optimizat...
Operator splitting methods have been recently concerned with inclusions problems based on composite ...
International audienceWe present a new primal-dual splitting algorithm for structured monotone inclu...
This thesis is concerned with the design and analysis of algorithms that solve nonsmooth convex opti...
Abstract. We present two modified versions of the primal-dual splitting algorithm relying on forward...
We propose new primal-dual decomposition algorithms for solving systems of inclusions involving sums...
Cover title. "This paper consists mainly of dissertation research results of the first author."--Cov...
In this paper, we present a novel derivation of an existing algorithm for distributed optimization t...
International audienceWe propose a primal-dual splitting algorithm for solving monotone inclusions i...
Monotone Inklusionen kommen oft und in natürlicher Weise vor, wenn Optimierungsprobleme oder Differe...
Many structured convex minimization problems can be modeled by the search of a zero of the sum of tw...
AbstractWe consider and analyze some new projection-splitting algorithms for solving monotone variat...
Many statistical learning problems can be posed as minimization of a sum of two convex functions, on...
The Douglas-Rachford splitting method plays an important role in optimization. We modify the method ...
A novel monotonization method is proposed for converting a non-monotone programming problem into a m...
This book brings together research articles and state-of-the-art surveys in broad areas of optimizat...
Operator splitting methods have been recently concerned with inclusions problems based on composite ...
International audienceWe present a new primal-dual splitting algorithm for structured monotone inclu...
This thesis is concerned with the design and analysis of algorithms that solve nonsmooth convex opti...
Abstract. We present two modified versions of the primal-dual splitting algorithm relying on forward...
We propose new primal-dual decomposition algorithms for solving systems of inclusions involving sums...
Cover title. "This paper consists mainly of dissertation research results of the first author."--Cov...
In this paper, we present a novel derivation of an existing algorithm for distributed optimization t...
International audienceWe propose a primal-dual splitting algorithm for solving monotone inclusions i...
Monotone Inklusionen kommen oft und in natürlicher Weise vor, wenn Optimierungsprobleme oder Differe...
Many structured convex minimization problems can be modeled by the search of a zero of the sum of tw...
AbstractWe consider and analyze some new projection-splitting algorithms for solving monotone variat...
Many statistical learning problems can be posed as minimization of a sum of two convex functions, on...
The Douglas-Rachford splitting method plays an important role in optimization. We modify the method ...
A novel monotonization method is proposed for converting a non-monotone programming problem into a m...