登录
首页 » matlab » PCE_Example

PCE_Example

于 2021-02-21 发布 文件大小:406KB
0 328
下载积分: 1 下载次数: 41

代码说明:

  用于混沌多项式扩展的代码,例子较多,有些比较复杂,深入浅出(Code for the extension of chaotic polynomials)

文件列表:

gpc_example_code_Laloy_et_al_2013, 0 , 2016-09-22
gpc_example_code_Laloy_et_al_2013\.DS_Store, 6148 , 2016-08-01
__MACOSX, 0 , 2017-04-25
__MACOSX\gpc_example_code_Laloy_et_al_2013, 0 , 2017-04-25
__MACOSX\gpc_example_code_Laloy_et_al_2013\._.DS_Store, 120 , 2016-08-01
gpc_example_code_Laloy_et_al_2013\gpc_tools, 0 , 2016-08-01
gpc_example_code_Laloy_et_al_2013\gpc_tools\.DS_Store, 6148 , 2016-08-01
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools, 0 , 2017-04-25
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\._.DS_Store, 120 , 2016-08-01
gpc_example_code_Laloy_et_al_2013\gpc_tools\c1_leg_monomial_integral.m, 1024 , 2012-08-29
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\._c1_leg_monomial_integral.m, 223 , 2012-08-29
gpc_example_code_Laloy_et_al_2013\gpc_tools\chaos_sequence.m, 448 , 2008-07-01
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\._chaos_sequence.m, 223 , 2008-07-01
gpc_example_code_Laloy_et_al_2013\gpc_tools\cn_leg_03_xiu.m, 1581 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\._cn_leg_03_xiu.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\cn_leg_monomial_integral.m, 888 , 2012-08-29
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\._cn_leg_monomial_integral.m, 223 , 2012-08-29
gpc_example_code_Laloy_et_al_2013\gpc_tools\correlation_besselj.m, 854 , 2013-04-16
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\._correlation_besselj.m, 223 , 2013-04-16
gpc_example_code_Laloy_et_al_2013\gpc_tools\correlation_besselk.m, 916 , 2013-04-16
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\._correlation_besselk.m, 223 , 2013-04-16
gpc_example_code_Laloy_et_al_2013\gpc_tools\correlation_matern.m, 1527 , 2013-04-16
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\._correlation_matern.m, 223 , 2013-04-16
gpc_example_code_Laloy_et_al_2013\gpc_tools\en_her_02_xiu.m, 1570 , 2013-04-15
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\._en_her_02_xiu.m, 223 , 2013-04-15
gpc_example_code_Laloy_et_al_2013\gpc_tools\en_her_03_xiu.m, 1476 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\._en_her_03_xiu.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\en_r2_03_xiu.m, 1482 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\._en_r2_03_xiu.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid, 0 , 2014-06-06
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\binary_vector_next.m, 1477 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid, 0 , 2017-04-25
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._binary_vector_next.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\ccn_compute.m, 591 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._ccn_compute.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\ccn_compute_np.m, 702 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._ccn_compute_np.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\ccn_compute_points.m, 1704 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._ccn_compute_points.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\ccn_compute_points_np.m, 1230 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._ccn_compute_points_np.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\ccn_compute_weights.m, 617 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._ccn_compute_weights.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\ccn_compute_weights_np.m, 654 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._ccn_compute_weights_np.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\chebyshev1_compute.m, 1470 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._chebyshev1_compute.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\chebyshev1_integral.m, 1086 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._chebyshev1_integral.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\chebyshev2_compute.m, 1525 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._chebyshev2_compute.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\chebyshev2_integral.m, 1116 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._chebyshev2_integral.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\clenshaw_curtis_compute.m, 1918 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._clenshaw_curtis_compute.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\clenshaw_curtis_compute_points.m, 1242 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._clenshaw_curtis_compute_points.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\clenshaw_curtis_compute_points_np.m, 843 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._clenshaw_curtis_compute_points_np.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\clenshaw_curtis_compute_weights.m, 1563 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._clenshaw_curtis_compute_weights.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\clenshaw_curtis_compute_weights_np.m, 841 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._clenshaw_curtis_compute_weights_np.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\comp_next.m, 4181 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._comp_next.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\comp_next_test.m, 1780 , 2012-08-16
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._comp_next_test.m, 223 , 2012-08-16
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\comp_next_tests.m, 1201 , 2012-08-16
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._comp_next_tests.m, 223 , 2012-08-16
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\cubic_antiderivative.m, 543 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._cubic_antiderivative.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\cubic_integrate.m, 550 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._cubic_integrate.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\cubic_value.m, 940 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._cubic_value.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\dif_deriv.m, 1370 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._dif_deriv.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\dif_shift_x.m, 1855 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._dif_shift_x.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\dif_shift_zero.m, 1277 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._dif_shift_zero.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\dif_to_r8poly.m, 1193 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._dif_to_r8poly.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\fejer2_compute.m, 1826 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._fejer2_compute.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\fejer2_compute_points.m, 1159 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._fejer2_compute_points.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\fejer2_compute_points_np.m, 813 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._fejer2_compute_points_np.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\fejer2_compute_weights.m, 1816 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._fejer2_compute_weights.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\fejer2_compute_weights_np.m, 1208 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._fejer2_compute_weights_np.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\gegenbauer_compute.m, 4188 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._gegenbauer_compute.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\gegenbauer_integral.m, 1032 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._gegenbauer_integral.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\gegenbauer_recur.m, 1318 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._gegenbauer_recur.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\gegenbauer_root.m, 1303 , 2012-08-17

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • Hateman-Matlab
    磁流体力学中哈特曼流动的matlab源代码(Hartmann MHD flow in the source code matlab)
    2011-05-22 22:50:59下载
    积分:1
  • speechbox
    工具箱中包含台湾清华大学张星智教授的三个语音信号处理工具箱,还有常用的voicbox以及一份详细讲解如何添加工具箱的word教程。(Toolbox contains the word tutorial Tsinghua University of Professor Zhang Xingzhi three voice signal processing toolbox used voicbox explain in detail how to add a toolbox.)
    2012-08-28 20:27:23下载
    积分:1
  • max alpha
    说明:  使用个股日内髙频收益率计算己实现值进行分析,同时计算得到二阶矩 和高阶矩值并进行对比。本文根据己实现量的大小将所有样本股分为己实现值由 小到大的姐别,分别跟踪各股票组合的收益,探索预期收益与个股己实现值之间 的变化关系,然后将分组的结果应用于多空策略,为提高资产配置收益提供参考。 同时,将各己实现变量和各类对预期收益产生影响的控制变量放在一起构建 Fama-MacBeth截面回归,分析高频已实现量是否具有定价能力。(The realized value is calculated by using the daily gust rate of return of individual stocks, and the second-order moments are obtained by calculating at the same time. Comparisons are made with higher order moment values. This paper divides all sample stocks into realized values according to the size of realized stocks. Sisters from small to large track the earnings of each stock portfolio, and explore the relationship between expected earnings and the realized value of each stock. Then the grouping results are applied to the multi-empty strategy to provide reference for improving asset allocation returns.)
    2020-06-24 10:20:02下载
    积分:1
  • upload_pudn14
    Simulation program to realize OFDM transmission system using( proposed slantlt transform instead FFT transform)with pilot channel estimation in a fading channel for (BPSK,QPSK,8PSK and 16PSK) modulation and for two type of error plot BER(Bit error rate) and PER(Packet error rate)
    2010-07-06 22:49:07下载
    积分:1
  • wuguoqing4
    说明:  垂直阵和单点两种辐射噪声测量法的误差比较,吴国清的论文(Two vertical array and a single point of error radiated noise measurements compared to Wu Guoqing papers)
    2011-03-09 17:59:59下载
    积分:1
  • chap_10
    很好的matlab学习资料,由浅到深的解析,附带源码(Matlab good learning materials, from shallow to deep analysis, with source code)
    2011-05-02 13:11:32下载
    积分:1
  • romp
    实现压缩感知的快速重构算法!算法简单易于实现(Reconstruction from partial Fourier data )
    2012-04-11 16:05:44下载
    积分:1
  • Find-earthquake-center
    用MATLAB解决真实世界的问题,再此介绍一个MATLAB查找地震中心的例子(Using MATLAB to solve real world problems。Here,we introduce an example which is to find earthquake center using MATLAB)
    2012-04-25 20:42:56下载
    积分:1
  • Multivariable-Frequency-Domain-Toolbox
    Multivariable Frequency Domain Toolbox
    2013-12-04 01:37:16下载
    积分:1
  • matrix_1
    改良的传输矩阵,可以在此基础上进行啁啾、切纸计算(The improved transfer matrix can be used to calculate chirping and paper cutting on this basis.)
    2018-07-25 10:12:52下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载