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在電腦實驗上加入微分資訊的自適搜尋區域法 = Adaptive Sear...

國立高雄大學統計學研究所

在電腦實驗上加入微分資訊的自適搜尋區域法 = Adaptive Search Region Methods with Derivative Information in Computer Experiment

Record Type:	Language materials, printed : monographic
Paralel Title:	Adaptive Search Region Methods with Derivative Information in Computer Experiment
Author:	簡暉展,
Secondary Intellectual Responsibility:	國立高雄大學
Place of Publication:	[高雄市]
Published:	撰者;
Year of Publication:	2009[民98]
Description:	44面圖、表 : 30公分;
Subject:	均勻設計
Subject:	Adaptive Search Region Method
Online resource:	http://handle.ncl.edu.tw/11296/ndltd/02071665106099452191
Notes:	指導教授：陳瑞彬
Notes:	參考書目：面
Summary:	Lai (2008) 提出自適搜尋區域法，此方法為有限範圍內找尋所有極值之替代曲面方法。在本文中，除了電腦實驗對於反應曲面的一般假設外，並假設微分資訊是可取得的，而此修正的自適搜尋區域法主要將微分資訊加入在建造替代模型與搜尋極值兩部份。文中也展示了在各維度下的相關結果。 Adaptive Search Region Method (ASRM), proposed by Lai (2008), is a surrogateassisted method for searching all local extremes of a response function in a bounded experimental region. In this work, besides common assumptions for response function in computer experiments, we assume that the derivative information is also available. Thus a modified ASRM is proposed by cooperating the derivative information into surrogate construction and extreme point search. Several numerical experiments with different dimensionalities are used to show the efficiency of this new method.

在電腦實驗上加入微分資訊的自適搜尋區域法 = Adaptive Search Region Methods with Derivative Information in Computer Experiment
簡, 暉展

在電腦實驗上加入微分資訊的自適搜尋區域法 = Adaptive Search Region Methods with Derivative Information in Computer Experiment / 簡暉展撰 - [高雄市] : 撰者, 2009[民98]. - 44面 ; 圖、表 ; 30公分.
指導教授：陳瑞彬參考書目：面.
均勻設計Adaptive Search Region Method

在電腦實驗上加入微分資訊的自適搜尋區域法 = Adaptive Search Region Methods with Derivative Information in Computer Experiment
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