2008SIAM Journal on OptimizationOpen access

A Condition Number for Multifold Conic Systems

Dennis Cheung, Felipe Cucker, Javier Peña

Open full text 12 citations

Abstract

Let $A:Y\to X$ be a linear map and $K\subseteq X$ be a regular closed convex cone. Consider the problem of finding a nontrivial solution to the conic feasibility problem $Ay\in K$. Condition numbers for this problem (as well as for related ones) are studied to quantify various issues concerning properties of the conic feasibility problem. Some issues especially relevant are the behavior of the problem under data perturbations, the geometry of the set of solutions, and the complexity analyses of algorithms that solve the problem. In this paper we define and characterize a condition number that exploits the possible factorization of K as a product of simpler cones. This condition number extends both Renegar's condition number and the one we defined in [Math. Program., 91 (2001), pp. 163–174] for polyhedral conic systems. We see these results as a step in developing a theory of conditioning that takes into account the structure of the problem.

Open-access reader

About this research paper

What this paper is about

Let $A:Y\to X$ be a linear map and $K\subseteq X$ be a regular closed convex cone. Consider the problem of finding a nontrivial solution to the conic feasibility problem $Ay\in K$. Condition numbers for this problem (as well as for related ones) are studied to quantify various issues concerning properties of the conic feasibility problem. Some issues especially relevant are the behavior of the problem under data perturbations, the geometry of the set of solutions, and the complexity analyses of algorithms that solve the problem. In this paper we define and characterize a condition number that exploits the possible factorization of K as a product of simpler cones. This condition number extends both Renegar's condition number and the one we defined in [Math. Program., 91 (2001), pp. 163–174] for polyhedral conic systems. We see these results as a step in developing a theory of conditioning that takes into account the structure of the problem.

Why it matters

OpenAlex reports 12 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Let $A:Y\to X$ be a linear map and $K\subseteq X$ be a regular closed convex cone. Consider the problem of finding a nontrivial solution to the conic feasibility problem $Ay\in K$. Condition numbers for this problem (as well as for related ones) are studied to quantify various issues concerning properties of the conic feasibility problem. Some issues especially relevant are the behavior of the problem under data perturbations, the geometry of the set of solutions, and the complexity analyses of algorithms that solve the problem. In this paper we define and characterize a condition number that exploits the possible factorization of K as a product of simpler cones. This condition number extends both Renegar's condition number and the one we defined in [Math. Program., 91 (2001), pp. 163–174] for polyhedral conic systems. We see these results as a step in developing a theory of conditioning that takes into account the structure of the problem.

Key concepts: Conic section, Mathematics, Conic optimization, Cone (formal languages), Condition number, Regular polygon, Convex cone, Set (abstract data type)

Related papers

Back to paper searchBrowse research topicsOriginal source
A Condition Number for Multifold Conic Systems — Research Paper | ScholarLens