For a conic linear system of the form Ax ∈ K, K a convex cone, several condition measures have been extensively studied in the last dozen years. Among these, Renegar’s condition number C(A) is arguably the most prominent for its relation to data perturbation, error bounds, problem geome-try, and computational complexity of algorithms. Nonetheless, C(A) is a representation-dependent measure which is usually difficult to interpret and may lead to overly-conservative bounds of com-putational complexity and/or geometric quantities associated with the set of feasible solutions. Herein we show that Renegar’s condition number is bounded from above and below by certain purely geometric quantities associated with A and K, and highlights the role of ...
The purpose of this paper is to extend, as much as possible, the modern theory of ...
AbstractIn a paper Cheung, Cucker and Peña (in press) [5] that can be seen as the first part of this...
We derive bounds relating the statistical dimension of linear images of convex cones to Renegar's co...
For a conic linear system of the form Ax ∈ K, K a convex cone, several condition measures have been...
For a conic linear system of the form Ax ∈ K, K a convex cone, several condition measures have been ...
Abstract. The analysis of iterative algorithms solving a conic feasi-bility problem Ay ∈ K, with A a...
The analysis of iterative algorithms solving a conic feasibility problem Ay ∈ K, with A a linear map...
In this paper we present two algorithms for computing estimates of condition measures for a convex f...
Abstract. In this note we define a condition number C (A) for the feasibility problem of homogeneous...
We develop an algorithm for resolving a conic linear system (FPd), which is a system of the form (FP...
In this note we define a condition number C (A) for the feasibility problem of homogeneous second or...
The modern theory of condition measures for convex optimization problems was initially developed for...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 2002.Includes bi...
Cover title.Includes bibliographical references (p. 47-48).Supported through NSF Graduate Research F...
The modern theory of condition measures for convex optimization problems was initially developed fo...
The purpose of this paper is to extend, as much as possible, the modern theory of ...
AbstractIn a paper Cheung, Cucker and Peña (in press) [5] that can be seen as the first part of this...
We derive bounds relating the statistical dimension of linear images of convex cones to Renegar's co...
For a conic linear system of the form Ax ∈ K, K a convex cone, several condition measures have been...
For a conic linear system of the form Ax ∈ K, K a convex cone, several condition measures have been ...
Abstract. The analysis of iterative algorithms solving a conic feasi-bility problem Ay ∈ K, with A a...
The analysis of iterative algorithms solving a conic feasibility problem Ay ∈ K, with A a linear map...
In this paper we present two algorithms for computing estimates of condition measures for a convex f...
Abstract. In this note we define a condition number C (A) for the feasibility problem of homogeneous...
We develop an algorithm for resolving a conic linear system (FPd), which is a system of the form (FP...
In this note we define a condition number C (A) for the feasibility problem of homogeneous second or...
The modern theory of condition measures for convex optimization problems was initially developed for...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 2002.Includes bi...
Cover title.Includes bibliographical references (p. 47-48).Supported through NSF Graduate Research F...
The modern theory of condition measures for convex optimization problems was initially developed fo...
The purpose of this paper is to extend, as much as possible, the modern theory of ...
AbstractIn a paper Cheung, Cucker and Peña (in press) [5] that can be seen as the first part of this...
We derive bounds relating the statistical dimension of linear images of convex cones to Renegar's co...