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Volume 8, Issue 1
A New Spectral Conjugate Gradient Method and Its Global Convergence

Min SUN and Jing LIU

J. Info. Comput. Sci. , 8 (2013), pp. 075-080.

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  • Abstract
Combining the advantage of spectral-gradient method, a spectral conjugate gradient method for the global optimization is presented. This method has the property that the generated search direction is sufficiently descent without utilizing the line search. The proof of the convergence of the proposed method is given. Numerical experiments show that the method is efficient and feasible.
  • Keywords

spectral conjugate gradient method sufficient descent global convergence

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@Article{JICS-8-075, author = {Min SUN and Jing LIU}, title = {A New Spectral Conjugate Gradient Method and Its Global Convergence}, journal = {Journal of Information and Computing Science}, year = {2024}, volume = {8}, number = {1}, pages = {075--080}, abstract = {Combining the advantage of spectral-gradient method, a spectral conjugate gradient method for the global optimization is presented. This method has the property that the generated search direction is sufficiently descent without utilizing the line search. The proof of the convergence of the proposed method is given. Numerical experiments show that the method is efficient and feasible. }, issn = {1746-7659}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jics/22630.html} }
TY - JOUR T1 - A New Spectral Conjugate Gradient Method and Its Global Convergence AU - Min SUN and Jing LIU JO - Journal of Information and Computing Science VL - 1 SP - 075 EP - 080 PY - 2024 DA - 2024/01 SN - 8 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jics/22630.html KW - spectral conjugate gradient method KW - sufficient descent KW - global convergence AB - Combining the advantage of spectral-gradient method, a spectral conjugate gradient method for the global optimization is presented. This method has the property that the generated search direction is sufficiently descent without utilizing the line search. The proof of the convergence of the proposed method is given. Numerical experiments show that the method is efficient and feasible.
Min SUN and Jing LIU. (2024). A New Spectral Conjugate Gradient Method and Its Global Convergence. Journal of Information and Computing Science. 8 (1). 075-080. doi:
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