Indexed metadata
Optimization of Convex Risk Functions
Andrzej Ruszczyński, Alexander Shapiro
Source record
Source: Crossref
Published: Aug 1, 2006
DOI: 10.1287/moor.1050.0186
Open original source ↗Source abstract
We consider optimization problems involving convex risk functions. By employing techniques of convex analysis and optimization theory in vector spaces of measurable functions, we develop new representation theorems for risk models, and optimality and duality theory for problems with convex risk functions.
Evidence graph
No public relationships recorded yet.
Integrity note: This page is a factual metadata record created by deterministic ingestion. It is not a claim that the work moves a mathematical frontier or has been independently verified.