Search - Adaptive quadrature

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[Other resource] 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.
Update : 2008-10-13 Size : 226.7kb Publisher : zzn
[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.
Update : 2025-04-04 Size : 226kb Publisher : 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
Update : 2025-04-04 Size : 1kb Publisher : 阿蔡
[Compress-Decompress algrithms] pts DL : 0: 自适应梯形求积法特别适合被积函数为强峰的定积分此程序修改余地很大-Adaptive trapezoid quadrature method was particularly suited to the plot function for the strong peaks of the definite integral of a large room for this procedure to amend
Update : 2025-04-04 Size : 1kb Publisher : 冯海霞
[Algorithm] matlab2 DL : 0: 数值分析计算实习题.复化梯形求积.复化辛普森求积.自适应步长辛普森求积.龙贝格函数求积.-Practical numerical analysis problems. Repeated trapezoidal quadrature. The Simpson quadrature. Adaptive Simpson Quadrature step. Romberg Quadrature functions.
Update : 2025-04-04 Size : 1kb Publisher : YipingMa
[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.
Update : 2025-04-04 Size : 391kb Publisher : pravin jadhav
[VHDL-FPGA-Verilog] ofdmbaseband DL : 0: the OFDM PHY is adaptive therefore it supports multiple schemes BPSK, QPSK, 16-QAM and 64-QAM for data carriers’ modulation. The constellation diagrams are gray mapped and shows the magnitudes I and Q (In-phase and Quadrature) components of each incoming bit(s) combination along with their normalization factor C to calculate magnitude of each model
Update : 2025-04-04 Size : 1.43mb Publisher : san
[Software Engineering] ijacspv24n6 DL : 0: This contribution considers semi-blind adaptive equalization for communication systems that employ high-throughput quadrature amplitude modulation signalling. A minimum number of training symbols, approximately equal to the dimension of the equalizer, are first utilized to provide a rough initial least-squares estimate of the equalizer’s weight vector. A novel gradient-Newton concurrent constant modulus algorithm and soft decision-directed scheme are then applied to adapt the equalizer. The proposed semi-blind adaptive algorithm is capable of converging fast and accurately to the optimal minimum mean-square error equalization solution. Simulation results obtained demonstrate that the convergence speed of this semi-blind adaptive algorithm is close to that of the training-based recursive least-square algorithm
Update : 2025-04-04 Size : 181kb Publisher : yh
[Graph Drawing] function DL : 0: 求解数值积分的程序，主要功能是求解一定区间函数的数值积分值。功能强大，应用方便。欢迎指导。谢谢！-QUAD Numerically evaluate integral, adaptive Lobatto quadrature.function FUN from A to B to within an error of 1.e-6 using high order recursive adaptive quadrature. FUN is a function handle. The function Y=FUN(X) should accept a vector argument X and return a vector result Y, the integrand evaluated at each element of X.
Update : 2025-04-04 Size : 4kb Publisher : 李兴华
[Algorithm] simpson DL : 0: 自适应simpson求积公式的算法，是通过简单的计算求积分的近似值-Simpson rehabilitation of adaptive quadrature formula
Update : 2025-04-04 Size : 5kb Publisher : 诺诺
[source in ebook] numerical-calculaltion DL : 0: 几种常用的数值积分算法代码,包括自适应梯形求积法，变步长梯形求积法和勒让德-高斯求积法-Several commonly used numerical integration algorithm code, including adaptive trapezoidal quadrature method, variable step trapezoidal quadrature method and Legendre- Gauss quadrature
Update : 2025-04-04 Size : 2kb Publisher : tangbin
[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).
Update : 2025-04-04 Size : 8kb Publisher : 陈彦
[assembly language] quadgui DL : 0: 该代码展示了如何通过数值方法估计某个量值的思路，方法具有新颖之处。。。望采纳-QUADGUI Demonstrate numerical evaluation of a definite integral. Q = QUADGUI(F,A,B) shows the steps in approximating the integral of F(x) from A to B by adaptive extrapolated Simpson s quadrature. The shaded area shows the integral over the current subinterval. The color switches to green when the desired accuracy is obtained.
Update : 2025-04-04 Size : 2kb Publisher : lipu
[Program doc] 7-Power-Amplifier-Adaptive-Linearization-Using-Pr DL : 0: Quadrature ampliltude modulation has high spectral efficiency but is highly sensitive to power amplifier nonlinearities. It is shown that an adaptive predistorter usig polynomial amplitude and phase predistortion functions can be used to linearize the power amplifier. Tie recursive least square algonrthm is employed in an estimator which uses demodulated signals to estimate the required predistortion. Computer simulation results are provided and these results show that fast convergence and high spectm improvement can be obtained using the proposed linearization method. The results are significantly better than those reported before for other linearization techniques.
Update : 2025-04-04 Size : 2.56mb Publisher : sali
[Algorithm] ADQMMFOR DL : 0: ADAPTIVE QUADRATURE ALGORITHM FORTRAN
Update : 2025-04-04 Size : 2kb Publisher : amin
[Algorithm] ADQMMPAS DL : 0: ADAPTIVE QUADRATURE ALGORITHM PASCAL
Update : 2025-04-04 Size : 2kb Publisher : amin
[matlab] AQMMMMAT DL : 0: ADAPTIVE QUADRATURE ALGORITHM MATLAB
Update : 2025-04-04 Size : 1kb Publisher : amin
[Algorithm] shuzhijifen DL : 0: 变补长梯形求积法、变步长辛卜生求积法、自适应梯形求积法、龙贝格求积法等多种数值积分C++源代码-Adaptive quadrature method and trapezoidal romberg quadrature method for multiple numerical integration, such as C++ source code
Update : 2025-04-04 Size : 2kb Publisher : 张峰
[Software Engineering] Test_3 DL : 0: 自适应梯形求积法，开发环境用的是类似VC++的Codeblocks-Adaptive trapezoidal quadrature method, the development environment is similar to VC++ Codeblocks
Update : 2025-04-04 Size : 45kb Publisher : 田换
[Algorithm] 自适应求解程序 DL : 0: 自适应求积法小程序，请自己测试过可以用。(Adaptive quadrature method small program, please test yourself, you can use.)
Update : 2025-04-04 Size : 3kb Publisher : 往来格

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