20-Jun-2023 16:21:33 spquad_test(): MATLAB/Octave version 5.2.0 Test spquad(). SPQUAD_TEST: Clenshaw Curtis sparse grid over [-1,1]^D. Spatial dimension is D = 2 Maximum level MAXK = 5 D Level Nodes SG error MC error 2 0 1 0.085408 0.052051 2 1 5 0.00038178 0.023138 2 2 13 7.8041e-05 0.014507 2 3 29 1.3005e-06 0.0098324 2 4 65 6.3621e-09 0.0065398 2 5 145 9.7152e-12 0.0043261 SPQUAD_TEST: Clenshaw Curtis sparse grid over [-1,1]^D. Spatial dimension is D = 10 Maximum level MAXK = 4 D Level Nodes SG error MC error 10 0 1 0.50648 0.11942 10 1 21 0.083572 0.024449 10 2 221 0.0056818 0.0078689 10 3 1581 2.7424e-05 0.0028128 10 4 8801 1.6462e-05 0.0012768 SPQUAD_TEST: Clenshaw Curtis sparse grid over [-1,1]^D. Spatial dimension is D = 20 Maximum level MAXK = 3 D Level Nodes SG error MC error 20 0 1 1.2695 0.16096 20 1 41 0.50832 0.025698 20 2 841 0.10876 0.0057953 20 3 11561 0.013772 0.0015457 SPQUAD_TEST: Clenshaw Curtis sparse grid over [-1,1]^D. Spatial dimension is D = 30 Maximum level MAXK = 2 D Level Nodes SG error MC error 30 0 1 2.419 0.20267 30 1 61 1.5984 0.025342 30 2 1861 0.58277 0.004866 SPQUAD_TEST: Clenshaw Curtis sparse grid over [-1,1]^D. Spatial dimension is D = 40 Maximum level MAXK = 2 D Level Nodes SG error MC error 40 0 1 4.1506 0.24075 40 1 81 3.9189 0.025547 40 2 3281 2.0427 0.0042262 SPQUAD_TEST: Clenshaw Curtis sparse grid over [-1,1]^D. Spatial dimension is D = 50 Maximum level MAXK = 2 D Level Nodes SG error MC error 50 0 1 6.7593 0.27358 50 1 101 8.4364 0.026939 50 2 5101 5.7657 0.0037014 SPQUAD_TEST02: Print out the order (number of points) used for sparse grids of various levels and spatial dimensions. Dimension / Level size table for Sparse Grid Rule Dim: 1 2 3 4 5 6 7 8 9 10 Level: 0: 1 1 1 1 1 1 1 1 1 1 1: 3 5 7 9 11 13 15 17 19 21 2: 5 13 25 41 61 85 113 145 181 221 3: 9 29 69 137 241 389 589 849 1177 1581 4: 17 65 177 401 801 1457 2465 3937 6001 8801 5: 33 145 441 1105 2433 4865 9017 15713 26017 41265 spquad_test(): Normal end of execution. 20-Jun-2023 16:24:27