C 代码 计算 正态概率密度函数 （PDF），有时称为 高斯分布.rar

21 January 2020 11:07:21 AM TRUNCATED_NORMAL_RULE C version For the (truncated) Gaussian probability density function pdf(x) = exp(-0.5*((x-MU)/SIGMA)^2) / SIGMA / sqrt ( 2 * pi ) compute an N-point quadrature rule for approximating Integral ( A <= x <= B ) f(x) pdf(x) dx The value of OPTION determines the truncation interval [A,B]: 0: (-oo,+oo) 1: [A,+oo) 2: (-oo,B] 3: [A,B] The user specifies OPTION, N, MU, SIGMA, A, B and FILENAME. FILENAME is used to generate 3 files: filename_w.txt - the weight file filename_x.txt - the abscissa file. filename_r.txt - the region file, listing A and B. Enter the value of OPTION 0/1/2/3: Enter the value of N (1 or greater) Enter MU, the mean value of the normal distribution: Enter SIGMA, the standard deviation of the normal distribution: Enter FILENAME, the "root name" of the quadrature files). OPTION = 0 N = 5 MU = 1 SIGMA = 2 A = -1e+30 B = 1e+30 FILENAME = "option0". Creating quadrature files. Root file name is "option0". Weight file will be "option0_w.txt". Abscissa file will be "option0_x.txt". Region file will be "option0_r.txt". TRUNCATED_NORMAL_RULE: Normal end of execution. 21 January 2020 11:07:21 AM 21 January 2020 11:07:21 AM TRUNCATED_NORMAL_RULE C version For the (truncated) Gaussian probability density function pdf(x) = exp(-0.5*((x-MU)/SIGMA)^2) / SIGMA / sqrt ( 2 * pi ) compute an N-point quadrature rule for approximating Integral ( A <= x <= B ) f(x) pdf(x) dx The value of OPTION determines the truncation interval [A,B]: 0: (-oo,+oo) 1: [A,+oo) 2: (-oo,B] 3: [A,B] The user specifies OPTION, N, MU, SIGMA, A, B and FILENAME. FILENAME is used to generate 3 files: filename_w.txt - the weight file filename_x.txt - the abscissa file. filename_r.txt - the region file, listing A and B. Enter the value of OPTION 0/1/2/3: Enter the value of N (1 or greater) Enter MU, the mean value of the normal distribution: Enter SIGMA, the standard deviation of the normal distribution: Enter the left endpoint A: Enter FILENAME, the "root name" of the quadrature files). OPTION = 1 N = 9 MU = 2 SIGMA = 0.5 A = 0 B = 1e+30 FILENAME = "option1". Creating quadrature files. Root file name is "option1". Weight file will be "option1_w.txt". Abscissa file will be "option1_x.txt". Region file will be "option1_r.txt". TRUNCATED_NORMAL_RULE: Normal end of execution. 21 January 2020 11:07:21 AM 21 January 2020 11:07:21 AM TRUNCATED_NORMAL_RULE C version For the (truncated) Gaussian probability density function pdf(x) = exp(-0.5*((x-MU)/SIGMA)^2) / SIGMA / sqrt ( 2 * pi ) compute an N-point quadrature rule for approximating Integral ( A <= x <= B ) f(x) pdf(x) dx The value of OPTION determines the truncation interval [A,B]: 0: (-oo,+oo) 1: [A,+oo) 2: (-oo,B] 3: [A,B] The user specifies OPTION, N, MU, SIGMA, A, B and FILENAME. FILENAME is used to generate 3 files: filename_w.txt - the weight file filename_x.txt - the abscissa file. filename_r.txt - the region file, listing A and B. Enter the value of OPTION 0/1/2/3: Enter the value of N (1 or greater) Enter MU, the mean value of the normal distribution: Enter SIGMA, the standard deviation of the normal distribution: Enter the right endpoint B: Enter FILENAME, the "root name" of the quadrature files). OPTION = 2 N = 9 MU = 2 SIGMA = 0.5 A = -1e+30 B = 3 FILENAME = "option2". Creating quadrature files. Root file name is "option2". Weight file will be "option2_w.txt". Abscissa file will be "option2_x.txt". Region file will be "option2_r.txt". TRUNCATED_NORMAL_RULE: Normal end of execution. 21 January 2020 11:07:21 AM 21 January 2020 11:07:21 AM TRUNCATED_NORMAL_RULE C version For the (truncated) Gaussian probability density function pdf(x) = exp(-0.5*((x-MU)/SIGMA)^2) / SIGMA / sqrt ( 2 * pi ) compute an N-point quadrature rule for approximating Integral ( A <= x <= B ) f(x) pdf(x) dx The value of OPTION determines the truncation interval [A,B]: 0: (-oo,+oo) 1: [A,+oo) 2: (-oo,B] 3: [A,B] The user specifies OPTION, N, MU, SIGMA, A, B and FILENAME. FILENAME is used to generate 3 files: filename_w.txt - the weight file filename_x.txt - the abscissa file. filename_r.txt - the region file, listing A and B. Enter the value of OPTION 0/1/2/3: Enter the value of N (1 or greater) Enter MU, the mean value of the normal distribution: Enter SIGMA, the standard deviation of the normal distribution: Enter the left endpoint A: Enter the right endpoint B: Enter FILENAME, the "root name" of the quadrature files). OPTION = 3 N = 5 MU = 100 SIGMA = 25 A = 50 B = 150 FILENAME = "option3". Creating quadrature files. Root file name is "option3". Weight file will be "option3_w.txt". Abscissa file will be "option3_x.txt". Region file will be "option3_r.txt". TRUNCATED_NORMAL_RULE: Normal end of execution. 21 January 2020 11:07:21 AM