Add to ORKGIn this paper we are trying to analyze the common features of the recent advances in Structural Convex Optimization: polynomial-time interior-point methods, smoothing technique, minimization in relative scale, and minimization of composite functions
Abstract. During the last two decades, major developments in convex optimization were focus-ing on c...
In this paper we discuss the main concepts of structural optimization, a field of nonlinear programm...
This monograph presents the main mathematical ideas in convex opti-mization. Starting from the funda...
This book provides a comprehensive, modern introduction to convex optimization, a field that is beco...
This book provides a comprehensive, modern introduction to convex optimization, a field that is beco...
Thesis (Ph.D.)--University of Washington, 2017Convex optimization is more popular than ever, with ex...
Summarization: The impact of difference convex optimization techniques on structural analysis algori...
This article describes the current state of the art of interior-point methods (IPMs) for convex, con...
peer reviewedIn this paper, various methods based on convex approximation schemes are discussed, tha...
The most popular convex approximation methods used today in structural optimization are discussed in...
Optimization is a scientific discipline that lies at the boundarybetween pure and applied mathematic...
This article describes the current state of the art of interior-point methods (IPMs)for convex, coni...
In this paper we discuss the main concepts of structural optimization, a field of nonlinear programm...
Convex optimization has an increasing impact on many areas of mathematics, applied sciences, and pra...
Written for specialists working in optimization, mathematical programming, or control theory. The ge...
Abstract. During the last two decades, major developments in convex optimization were focus-ing on c...
In this paper we discuss the main concepts of structural optimization, a field of nonlinear programm...
This monograph presents the main mathematical ideas in convex opti-mization. Starting from the funda...
This book provides a comprehensive, modern introduction to convex optimization, a field that is beco...
This book provides a comprehensive, modern introduction to convex optimization, a field that is beco...
Thesis (Ph.D.)--University of Washington, 2017Convex optimization is more popular than ever, with ex...
Summarization: The impact of difference convex optimization techniques on structural analysis algori...
This article describes the current state of the art of interior-point methods (IPMs) for convex, con...
peer reviewedIn this paper, various methods based on convex approximation schemes are discussed, tha...
The most popular convex approximation methods used today in structural optimization are discussed in...
Optimization is a scientific discipline that lies at the boundarybetween pure and applied mathematic...
This article describes the current state of the art of interior-point methods (IPMs)for convex, coni...
In this paper we discuss the main concepts of structural optimization, a field of nonlinear programm...
Convex optimization has an increasing impact on many areas of mathematics, applied sciences, and pra...
Written for specialists working in optimization, mathematical programming, or control theory. The ge...
Abstract. During the last two decades, major developments in convex optimization were focus-ing on c...
In this paper we discuss the main concepts of structural optimization, a field of nonlinear programm...
This monograph presents the main mathematical ideas in convex opti-mization. Starting from the funda...