Title
A rank-one fitting algorithm for unconstrained optimization problems
Abstract
This paper proposes a rank-one modified fitting algorithm. The main feature of the approach is that the update formula for the deflection matrix in an iteration is deduced from a quadratic fitting function, not from the traditional quasi-Newton equation. Under some mild assumptions, the algorithm is globally and linearly convergent.
Year
DOI
Venue
2004
10.1016/j.aml.2004.07.009
Applied Mathematics Letters
Keywords
Field
DocType
Fitting function,Unconstrained optimization,Convergence
Convergence (routing),Fitting algorithm,Deflection (engineering),Quasi-Newton method,Mathematical optimization,Matrix (mathematics),Quadratic equation,Optimization problem,Mathematics
Journal
Volume
Issue
ISSN
17
9
0893-9659
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Yifan Xu16214.11
Chunli Liu200.68
June Dong3828.26