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A Quasi-Newton Algorithm Without Calculating Derivatives for Unconstrained Optimization
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@Article{JCM-12-380,
author = {Sun , Lin-Ping},
title = {A Quasi-Newton Algorithm Without Calculating Derivatives for Unconstrained Optimization},
journal = {Journal of Computational Mathematics},
year = {1994},
volume = {12},
number = {4},
pages = {380--386},
abstract = {
A new algorithm for unconstrained optimization is developed, by using the product form of the OCSSR1 update. The implementation is especially useful when gradient information is estimated by difference formulae. Preliminary tests show that new algorithm can perform well.
}, issn = {1991-7139}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jcm/10220.html} }
TY - JOUR
T1 - A Quasi-Newton Algorithm Without Calculating Derivatives for Unconstrained Optimization
AU - Sun , Lin-Ping
JO - Journal of Computational Mathematics
VL - 4
SP - 380
EP - 386
PY - 1994
DA - 1994/12
SN - 12
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jcm/10220.html
KW -
AB -
A new algorithm for unconstrained optimization is developed, by using the product form of the OCSSR1 update. The implementation is especially useful when gradient information is estimated by difference formulae. Preliminary tests show that new algorithm can perform well.
Lin-Ping Sun. (1970). A Quasi-Newton Algorithm Without Calculating Derivatives for Unconstrained Optimization.
Journal of Computational Mathematics. 12 (4).
380-386.
doi:
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