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adapQuad
迭代自适应Simpson,Lobatto积分
In almost every standard book on numerics quadrature algorithms like the adaptive Simpson or the adaptive Lobatto algorithm are presented in a recursive way. The benefit of the recursive programming is the compact and clear representation. However, recursive quadrature algorithms might be transformed into iterative quadrature algorithms without major modifications in the structure of the algorithm.
We present iterative adaptive quadrature algorithm (adaptiveSimpson and adaptiveLobatto), which preserves the compactness and the clarity of the recursive algorithms (e.g. quad, quadv, and quadl). Our iterative algorithm provides a parallel calculation of the integration function, which leads to tremendous gain in run-time, in general. Our results suggest a general iterative and not a recursive implementation of adaptive quadrature formulas, once the programming language permits parallel access to the integration function. For details the attached PDF file Conrad_08.pdf. (Iterative Adaptive Simpson, Lobatto Points In almost every standard book on numerics quadrature algorithms like the adaptive Simpson or the adaptive Lobatto algorithm are presented in a recursive way. The benefit of the recursive programming is the compact and clear representation. However, recursive quadrature algorithms might be transformed into iterative quadrature algorithms without major modifications in the structure of the algorithm.We present iterative adaptive quadrature algorithm (adaptiveSimpson and adaptiveLobatto), which preserves the compactness and the clarity of the recursive algorithms (eg quad, quadv, and quadl) . Our iterative algorithm provides a parallel calculation of the integration function, which leads to tremendous gain in run-time, in general. Our results suggest a general iterative and not a recursive implementation of adaptive quadrature formulas, once the programming language permits parallel access to the integration function. For details the attached PDF file Conrad_08.pdf.)
- 2008-08-14 22:44:04下载
- 积分:1
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2
说明: 此算法为最小二乘参数估计的递推算法。运行后得到辨识参数:a1= -1.4981, a2= 0.7038, b1= 1.0476, b2= 0.4704。(The algorithm for the recursive least squares parameter estimation algorithm. After operation to identify the parameters: a1 =-1.4981, a2 = 0.7038, b1 = 1.0476, b2 = 0.4704.)
- 2009-07-24 11:20:45下载
- 积分:1
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- 积分:1
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- 积分:1
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- 2019-04-02 11:59:03下载
- 积分:1
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it describes about the functionality of MAC layer in wimax implementation
- 2010-12-07 13:50:22下载
- 积分:1
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- 2012-03-20 16:10:26下载
- 积分:1
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merge_sorted.tar
Merging programs for various data structures.
- 2014-08-07 14:32:23下载
- 积分:1