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The conjugate direction method is one between the gradient method and Newton methods. 共軛梯度法是最典型的共軛方曏法。
Unconstrained optimization methods include gradient, conjugate direction, Newton, and quasi-Newton methods. 約束 最優(yōu)化方法包括梯度法、共軛方曏法、牛頓法和擬牛頓法。
In this paper we discuss conjugate direction method for LS estimator and analyse error of iterative solution. 本文討論了求LS估計(jì)的共軛方曏法，對(duì)疊代解的誤差進(jìn)行了分析。