Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/90192
題名: 縮基法初始值問題之數值研究
Numerical studies of reduced basis methos for initial value problems
作者: 陳揚敏
貢獻者: 林美佑
陳揚敏
關鍵詞: 縮基法,投影法
Reduced Basis Method, Projection
日期: 1990
上傳時間: 3-May-2016
摘要: 縮基法(RBM) 是對參數化的曲線求逼近解的一個方法,基本上乃使用投影法將解曲線投射到解空間的一子空間中,如此一來,可將原問題轉換成一較小的系統,並經由數值計算出小系統的解,來求得大系統的一逼近解。在本篇論文中主要的乃探討RBM在常微分方程組初始值問題上的應用,並發展一套含有誤差控制的演算法。
The reduced basis method(RBM) is a scheme for approximating parametric solution curves. The basic technique of RBM is projection. By applying the method, we can find an approximate solution of the original system which satisfies a system of smaller size. In this paper, we mainly concern the applications of RBM for ODE initial value problems and develop an algorithm which contains a set of error controls.
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描述: 碩士
國立政治大學
應用數學系
資料來源: http://thesis.lib.nccu.edu.tw/record/#B2002005457
資料類型: thesis
Appears in Collections:學位論文

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