大卫顿-弗莱彻-鲍威尔方法的b型

P. Stetsyuk, V. Stovba, A. Suprun
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引用次数: 0

摘要

讨论了拟牛顿型方法的一种特殊形式(b型),使得这些方法在适当变换的参数空间中易于解释为梯度。给出了Davidon-Fletcher-Powell方法的b形式,并与r-算法进行了比较。为了最小化光滑凸函数,结合准牛顿方法和r-算法的性质,建立了一种具有空间变换的梯度方法。讨论了这类方法最小化非光滑凸函数的可能格式。
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B-FORM OF THE DAVIDON–FLETCHER–POWELL METHOD
A special form (B-form) of methods of Quasi-Newton type is discussed, which makes it easy to interpret these methods as gradient in appropriately transformed argument space. B-form of the Davidon–Fletcher–Powell method is given and compared with r-algorithms. To minimize smooth convex functions, a gradient method with space transformation is built, combining properties of both quasi-Newtonian methods and r-algorithms. Possible schemes of this type of methods for minimizing non-smooth convex functions are discussed.
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