A Nonlinear Optimization Procedure for Generalized Gaussian Quadratures
Abstract
We present a new nonlinear optimization procedure for the computation of generalized Gaussian quadratures for a broad class of functions. While some of the components of this algorithm have been previously published, we present a simple and robust scheme for the determination of a sparse solution to an underdetermined nonlinear optimization problem which replaces the continuation scheme of the previously published works. The performance of the resulting procedure is illustrated with several numerical examples.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 30, 2008
- Accession Number
- ADA489478
Entities
People
- James Bremer
- Vladimir Rokhlin
- Zydrunas Gimbutas
Organizations
- University of California, Davis