Most OR academics and practitioners are familiar with linear programming (LP) and its applications. Many are however unaware of conic optimisation, which is a powerful generalisation of LP, with a prodigious array of important real-life applications. In this invited paper, we give a gentle introduction to conic optimisation, followed by a survey of applications in OR and related areas. Along the way, we try to help the reader develop insight into the strengths and limitations of conic optimisation as a tool for solving real-life problems
1 This work discusses the roles of second-order cone programming, these tasks are a special class se...
Conic quadratic functions arise often when modeling uncertainty and risk-aversion, and are used in m...
In this paper, we provide an elementary, geometric, and unified framework to analyze conic programs ...
Most OR academics and practitioners are familiar with linear programming (LP) and its applications. ...
International audienceThere exist efficient algorithms to project a point onto the intersection of a...
We study the order of maximizers in linear conic programming (CP) as well as stability issues relate...
A linear conic optimization problem consists of the minimization of a linear objective function over...
Abstract. During the last two decades, major developments in convex optimization were focus-ing on c...
Any convex optimization problem may be represented as a conic problem that minimizes a linear functi...
Solving large scale nonlinear optimization problems requires either significant computing resource...
Optimization is a scientific discipline that lies at the boundarybetween pure and applied mathematic...
In this dissertation, we present our work on the theory and applications of Mixed Integer Linear Opt...
This invited submission summarizes recent work by the authors on conic geometric programs (CGPs), ...
"September 1997."Includes bibliographical references (p. 28-29).by R.M. Freund and J.R. Vera
We give an overview of cone optimization software, with special attention to the differences between...
1 This work discusses the roles of second-order cone programming, these tasks are a special class se...
Conic quadratic functions arise often when modeling uncertainty and risk-aversion, and are used in m...
In this paper, we provide an elementary, geometric, and unified framework to analyze conic programs ...
Most OR academics and practitioners are familiar with linear programming (LP) and its applications. ...
International audienceThere exist efficient algorithms to project a point onto the intersection of a...
We study the order of maximizers in linear conic programming (CP) as well as stability issues relate...
A linear conic optimization problem consists of the minimization of a linear objective function over...
Abstract. During the last two decades, major developments in convex optimization were focus-ing on c...
Any convex optimization problem may be represented as a conic problem that minimizes a linear functi...
Solving large scale nonlinear optimization problems requires either significant computing resource...
Optimization is a scientific discipline that lies at the boundarybetween pure and applied mathematic...
In this dissertation, we present our work on the theory and applications of Mixed Integer Linear Opt...
This invited submission summarizes recent work by the authors on conic geometric programs (CGPs), ...
"September 1997."Includes bibliographical references (p. 28-29).by R.M. Freund and J.R. Vera
We give an overview of cone optimization software, with special attention to the differences between...
1 This work discusses the roles of second-order cone programming, these tasks are a special class se...
Conic quadratic functions arise often when modeling uncertainty and risk-aversion, and are used in m...
In this paper, we provide an elementary, geometric, and unified framework to analyze conic programs ...