New quasi-Newton methods via higher order tensor models
β Scribed by Fahimeh Biglari; Malik Abu Hassan; Wah June Leong
- Book ID
- 104007261
- Publisher
- Elsevier Science
- Year
- 2011
- Tongue
- English
- Weight
- 308 KB
- Volume
- 235
- Category
- Article
- ISSN
- 0377-0427
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β¦ Synopsis
Many researches attempt to improve the efficiency of the usual quasi-Newton (QN) methods by accelerating the performance of the algorithm without causing more storage demand. They aim to employ more available information from the function values and gradient to approximate the curvature of the objective function. In this paper we derive a new QN method of this type using a fourth order tensor model and show that it is superior with respect to the prior modification of Wei et al. (2006) [4]. Convergence analysis gives the local convergence property of this method and numerical results show the advantage of the modified QN method.
π SIMILAR VOLUMES
## Abstract It is well known that a Vandermonde matrix generates an illβconditioned system matrix when applied with finite numerical precision. This deficiency affects the Cauchy method by restricting its application to only lower order systems. This paper presents an innovative and accurate genera