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一種具有充分下降性的修正DL型譜共軛梯度法

2023-09-06 16:35:26李亞敏
浙江理工大學學報 2023年4期

摘 要: 提出了一種大規(guī)模無約束優(yōu)化問題的求解方法,通過修正Dai-Liao(DL)共軛梯度法的共軛參數(shù)和譜共軛梯度法的譜參數(shù),構(gòu)造了一種修正DL型譜共軛梯度法。所選取的譜參數(shù)使得每次迭代都自動產(chǎn)生一個不依賴于任何線搜索的下降方向;在常規(guī)假設(shè)下,利用強Wolfe線搜索證明了此方法對一致凸函數(shù)是全局收斂的。

關(guān)鍵詞: 無約束優(yōu)化;強Wolfe線搜索;譜共軛梯度法;譜參數(shù);全局收斂

中圖分類號: O221.2 文獻標志碼: A 文章編號: 1673-3851 (2023) 03-0279-06

引文格式:李亞敏.一種具有充分下降性的修正DL型譜共軛梯度法[J]. 浙江理工大學學報(自然科學),2023,49(2):279-284.

Reference Format: LI Yamin. A modified DL-type spectral conjugate gradient method with sufficiently descent property[J]. Journal of Zhejiang Sci-Tech University,2023,49(2):279-284.

A modified DL-type spectral conjugate gradient method with sufficiently descent property

LI Yamin

(School of Economics, Technology & Media University of Henan Kaifeng, Kaifeng 475001, China)

Abstract:? A method for solving large-scale unconstrained optimization problems is proposed. By modifying the conjugate parameter of the Dai-Liao (DL) conjugate gradient method and the spectral parameter of the spectral conjugate gradient method, a modified DL-type spectral conjugate gradient method is constructed. The spectral parameter is selected so that each iteration automatically generates a descent direction that does not depend on any line search. Under conventional assumptions, it is proved that this method is globally convergent for uniformly convex functions by using strong Wolfe line search.

Key words: unconstrained optimization; strong Wolfe line search; spectral conjugate gradient method; spectral parameter; global convergence

0 引 言

共軛梯度法(Conjugate gradient method, CGM)的迭代格式簡單,在計算時僅需要目標函數(shù)值和梯度函數(shù)值,無需計算二階導數(shù)值,儲存需求低,是求解無約束優(yōu)化問題(1)的常用迭代方法之一:

3 結(jié) 論

本文在DL法和譜共軛梯度法的基礎(chǔ)上,把DL法的共軛參數(shù)βDLk的第一項gTkyk-1dTk-1yk-1修正為gTk(gk-gk-1)‖dk-1‖2,得到了共軛參數(shù)βDL-Rk=gTk(gk-gk-1)‖dk-1‖2-tgTksk-1dTk-1(gk-gk-1),修正譜參數(shù)為θk=1+βDL-RkgTkdk-1‖gk‖2,使得搜索方向dk不依賴于任何線搜索都充分下降,進而得到了一種求解大規(guī)模無約束優(yōu)化問題的修正DL型譜共軛梯度法;并在強Wolfe線搜索下證明了該方法對一致凸函數(shù)是全局收斂的。

參考文獻:

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(責任編輯:康 鋒)

收稿日期: 2022-08-01網(wǎng)絡(luò)出版日期:2022-11-01網(wǎng)絡(luò)出版日期

作者簡介: 李亞敏(1992- ),女,河南開封人,助教,碩士,主要從事優(yōu)化理論方面的研究。

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