Title
Sobolev seminorm of quadratic functions with applications to derivative-free optimization
Abstract
This paper studies the $$H^1$$ Sobolev seminorm of quadratic functions. The research is motivated by the least-norm interpolation that is widely used in derivative-free optimization. We express the $$H^1$$ seminorm of a quadratic function explicitly in terms of the Hessian and the gradient when the underlying domain is a ball. The seminorm gives new insights into least-norm interpolation. It clarifies the analytical and geometrical meaning of the objective function in least-norm interpolation. We employ the seminorm to study the extended symmetric Broyden update proposed by Powell. Numerical results show that the new thoery helps improve the performance of the update. Apart from the theoretical results, we propose a new method of comparing derivative-free solvers, which is more convincing than merely counting the numbers of function evaluations.
Year
DOI
Venue
2014
10.1007/s10107-013-0679-3
Math. Program.
Keywords
Field
DocType
65k05,least-norm interpolation,extended symmetric broyden update,90c30,sobolev seminorm,90c56,derivative-free optimization,derivative free optimization
Mathematical optimization,Derivative-free optimization,Sobolev space,Interpolation,Hessian matrix,Quadratic function,Mathematics
Journal
Volume
Issue
ISSN
146
1-2
1436-4646
Citations 
PageRank 
References 
1
0.35
17
Authors
1
Name
Order
Citations
PageRank
Zaikun Zhang1141.65