C 代码 计算函数 f（x） 的格根鲍尔加权积分 使用克伦肖-柯蒂斯方法.rar

20 January 2020 09:08:32 AM GEGENBAUER_CC_TEST: C version. Test the GEGENBAUER_CC library. CHEBYSHEV_EVEN1_TEST: CHEBYSHEV_EVEN1 computes the even Chebyshev coefficients of a function F, using the extreme points of Tn(x). Computed and Exact Coefficients: 0: 0.447782 0.447782 1: -0.705669 -0.705669 2: 0.0680358 0.0680358 3: -0.00480972 -0.00480972 CHEBYSHEV_EVEN2_TEST: CHEBYSHEV_EVEN2 computes the even Chebyshev coefficients of a function F, using the zeros of Tn(x). Computed Coefficients: 0: 0.447782 1: -0.705668 2: 0.0679919 3: -0.00244922 GEGENBAUER_CC1_TEST: GEGENBAUER_CC1 estimates the Gegenbauer integral of a function f(x) using a Clenshaw-Curtis type approach based on the extreme points of Tn(x). Value = 0.915449 Exact = 0.915451 GEGENBAUER_CC2_TEST: GEGENBAUER_CC2 estimates the Gegenbauer integral of a function f(x) using a Clenshaw-Curtis type approach based on the zeros of Tn(x). Value = 0.915452 Exact = 0.915451 I4_UNIFORM_TEST I4_UNIFORM_AB computes pseudorandom values in an interval [A,B]. The lower endpoint A = -100 The upper endpoint B = 200 The initial seed is 123456789 1 -35 2 187 3 149 4 69 5 25 6 -81 7 -23 8 -67 9 -87 10 90 11 -82 12 35 13 20 14 127 15 139 16 -100 17 170 18 5 19 -72 20 -96 R8_MOP_TEST R8_MOP evaluates (-1.0)^I4 as an R8. I4 R8_MOP(I4) -57 -1.0 92 1.0 66 1.0 12 1.0 -17 -1.0 -87 -1.0 -49 -1.0 -78 1.0 -92 1.0 27 -1.0 R8VEC_PRINT_TEST R8VEC_PRINT prints an R8VEC. The R8VEC: 0: 123.456 1: 5e-06 2: -1e+06 3: 3.14159 R8VEC2_PRINT_TEST R8VEC2_PRINT prints a pair of R8VEC's Squares and roots: 0: 15241.4 11.1111 1: 2.5e-11 0.00223607 2: 1e+12 -nan 3: 9.8696 1.77245 4: 0 0 GEGENBAUER_CC_TEST: Normal end of execution. 20 January 2020 09:08:32 AM