Search - Adaptive quadrature

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[matlab] adapQuad DL : 0: 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.
Date : 2025-12-20 Size : 226kb User : zzn
[matlab] FermInterp DL : 0: 用梯形求积法、自适应Simpson求积（低阶）法和自适应Lobatto求积（高阶）法进行数值积分-With trapezoidal quadrature method, adaptive Simpson quadrature (low) and adaptive Lobatto quadrature (high-order) numerical integration method
Date : 2025-12-20 Size : 1kb User : 阿蔡
[matlab] leastsquare DL : 0: Inter-symbol interference if not taken care off may cause severe error at the receiver and the detection of signal becomes difficult. An adaptive equalizer employing Recursive Least Squares algorithm can be a good compensation for the ISI problem. In this paper performance of communication link in presence of Least Mean Square and Recursive Least Squares equalizer algorithm is analyzed. A Model of communication system having Quadrature amplitude modulation and Rician fading channel is implemented using MATLAB communication block set. Bit error rate and number of errors is evaluated for RLS and LMS equalizer algorithm, due to change in Signal to Noise Ratio (SNR) and fading component gain in Rician fading Channel.
Date : 2025-12-20 Size : 391kb User : pravin jadhav
[matlab] Heston DL : 0: Heston Model option pricings and comparison-Compares the option prices obtained using the analytical Heston formula (1993) and the FFT method (Carr-Madan formula via FFT+ Simpson s, Carr-Madan using adaptive Gauss-Kronrod quadrature, and Lipton s formula using adaptive Gauss-Kronrod quadrature).
Date : 2025-12-20 Size : 8kb User : 陈彦
[matlab] AQMMMMAT DL : 0: ADAPTIVE QUADRATURE ALGORITHM MATLAB
Date : 2025-12-20 Size : 1kb User : amin