02 April 2023 8:50:06.276 PM gegenbauer_cc_test(): FORTRAN90 version. Test gegenbauer_cc(). 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: 1 0.447782 0.447782 2 -0.705669 -0.705669 3 0.680358E-01 0.680358E-01 4 -0.480972E-02 -0.480972E-02 CHEBYSHEV_EVEN2_TEST: CHEBYSHEV_EVEN2 computes the even Chebyshev coefficients of a function F, using the zeros of Tn(x). Computed Coefficients: 1: 0.44778156 2: -0.70566806 3: 0.67991943E-01 4: -0.24492170E-02 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_AB_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: 1: 123.45600 2: 0.50000000E-05 3: -1000000.0 4: 3.1415927 R8VEC2_PRINT_TEST R8VEC2_PRINT prints a pair of R8VEC's. Squares and square roots: 1: 1.0000000 2: 2.0000000 3: 3.0000000 4: 4.0000000 5: 5.0000000 GEGENBAUER_CC_TEST: Normal end of execution. 02 April 2023 8:50:06.277 PM