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Lobatto

  • 分別給出利用自適應Simpson積分的數值積分方法(QUAD.m)和自適應Lobatto的數值積分算法(QUADL.m)。

    分別給出利用自適應Simpson積分的數值積分方法(QUAD.m)和自適應Lobatto的數值積分算法(QUADL.m)。

    標簽: Simpson Lobatto QUADL QUAD

    上傳時間: 2015-09-11

    上傳用戶:yy541071797

  • 用梯形求積法、自適應Simpson求積(低階)法和自適應Lobatto求積(高階)法進行數值積分

    用梯形求積法、自適應Simpson求積(低階)法和自適應Lobatto求積(高階)法進行數值積分

    標簽: Simpson Lobatto 數值 積分

    上傳時間: 2013-12-17

    上傳用戶:chfanjiang

  • 迭代自適應Simpson

    迭代自適應Simpson,Lobatto積分 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.

    標簽: Simpson 迭代

    上傳時間: 2014-10-25

    上傳用戶:xc216

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