Wed Oct 8 08:46:35 2025 polynomials_test(): python version: 3.10.12 numpy version: 1.26.4 Test polynomials(). butcher_test(): Use N sample values of the Butcher polynomial to estimate its minimum Pmin and maximum Pmax N Pmin Pmax butcher: [-1.4393333333, +0.219] 16 -1.2149437 -0.011646036 32 -1.0691319 0.053174976 64 -1.0678636 0.12894893 128 -1.1187819 0.10887014 256 -1.2755434 0.16007431 512 -1.3178823 0.19641085 1024 -1.2794696 0.20070155 2048 -1.3035125 0.17944183 4096 -1.3010292 0.1924816 8192 -1.3327939 0.20141334 16384 -1.3400398 0.21225454 camel_test(): Use N sample values of the Camel polyomial to estimate its minimum Pmin and maximum Pmax N Pmin Pmax camel: [ -1.031628453489616, ? ]: 16 -0.25500381 194.27095 32 1.2523278 274.95269 64 -1.0032944 352.96998 128 -0.91637277 296.80816 256 -0.81614601 354.63926 512 -0.95124985 330.8685 1024 -1.0232675 341.74553 2048 -1.028874 359.62471 4096 -0.99798091 373.10373 8192 -1.0264017 374.83622 16384 -1.0294536 390.37948 camera_test(): Use N sample values of the Camera polynomial to estimate its minimum Pmin and maximum Pmax N Pmin Pmax camera: [-270397.4, +270202.6] 16 -50020.86 97518.124 32 -71415.829 95407.12 64 -125834.01 97834.544 128 -104886.13 152725.47 256 -156210.13 112532 512 -127618.62 183863.19 1024 -166689.21 145722.14 2048 -148099.22 161982.49 4096 -172061.7 174882.07 8192 -201326.99 205689.32 16384 -196943.25 203081.99 caprasse_test(): Use N sample values of the Caprasse polynomial to estimate its minimum Pmin and maximum Pmax N Pmin Pmax caprasse: [-3.1800966258, +4.4852773332] 16 -2.4215343 2.5353993 32 -2.3105398 3.2798338 64 -2.4879935 3.4403774 128 -2.1737048 3.6199377 256 -2.2218017 3.607247 512 -2.747722 3.8327677 1024 -2.6525247 3.7791166 2048 -2.5828481 4.0673396 4096 -2.9935559 4.1575781 8192 -2.9273234 4.366499 16384 -2.9054527 4.3826902 cyclic5_test(): Use N sample values of the Cyclic5 polynomial to estimate its minimum Pmin and maximum Pmax N Pmin Pmax cyclic5: [-30000, +50000] 16 -2382.8582 4591.3978 32 -5790.3396 4332.2458 64 -5817.7637 5353.3303 128 -10195.532 13822.023 256 -10265.118 17607.39 512 -12616.066 13530.201 1024 -13838.718 13306.303 2048 -15731.748 22531.785 4096 -16696.064 24107.003 8192 -17926.015 31896.168 16384 -20702.965 29969.685 cyclic7_test(): Use N sample values of the Cyclic7 polynomial to estimate its minimum Pmin and maximum Pmax N Pmin Pmax cyclic7: [-5.0, +7.0] 16 -0.054552025 0.13329461 32 -0.1837736 0.50944306 64 -0.23978411 0.20310175 128 -0.54812061 0.70744682 256 -0.5028884 1.4535144 512 -0.43871025 1.1204126 1024 -0.63131831 0.87457869 2048 -0.62117395 1.0261562 4096 -1.4866114 1.1682464 8192 -1.6406949 1.1232726 16384 -1.4735708 1.3548153 cyclic8_test(): Use N sample values of the Cyclic8 polynomial to estimate its minimum Pmin and maximum Pmax N Pmin Pmax cyclic8: [-8.0, +8.0] 16 -0.29357939 0.59345046 32 -0.3674267 0.36882071 64 -0.48810582 0.20881567 128 -0.18319255 0.35060152 256 -0.64113574 0.45930103 512 -0.60894498 0.54283583 1024 -0.80126487 0.46211262 2048 -0.6741021 1.3564463 4096 -0.7578263 0.69041656 8192 -1.0692897 1.0733075 16384 -1.5251104 0.99497764 goldstein_price_test(): Use N sample values of the Goldstein-Price polynomial to estimate its minimum Pmin and maximum Pmax N Pmin Pmax goldstein_price: [ 3, ? ]: 16 234.99342 113571.04 32 143.35997 227902.8 64 25.571425 880703.77 128 22.390098 749734.77 256 6.9512716 984504.16 512 4.1139503 877508.12 1024 5.4560595 956862.18 2048 3.037303 967810.41 4096 3.2337096 986310.12 8192 3.5174345 1002215.4 16384 3.1075979 987972.26 hairer_test(): Use N sample values of the Hairer polynomial to estimate its minimum Pmin and maximum Pmax N Pmin Pmax hairer: [-1875.25, -48.25] 16 -798.10169 -279.20591 32 -972.55841 -223.70434 64 -1119.2086 -146.82262 128 -1132.4817 -134.50728 256 -1163.7008 -118.31691 512 -1293.2128 -107.47826 1024 -1367.4472 -69.03714 2048 -1543.1914 -82.136958 4096 -1604.6512 -81.062683 8192 -1578.9993 -76.950097 16384 -1696.3277 -80.703807 heart_test(): Use N sample values of the Heart polynomial to estimate its minimum Pmin and maximum Pmax N Pmin Pmax heart: [-1.36775, +1.74345327935] 16 0.0691943 0.89608122 32 -0.31181001 1.0151294 64 0.17329065 1.3190702 128 -0.2440441 1.3772262 256 -0.24255781 1.2985774 512 -0.3617808 1.3658386 1024 -0.65179488 1.4987019 2048 -0.8095983 1.4502659 4096 -0.88390382 1.5729988 8192 -0.73531029 1.5208062 16384 -0.54088866 1.6002861 himmelblau_test(): Use N sample values of the Himmelblau polynomial to estimate its minimum Pmin and maximum Pmax N Pmin Pmax himmelblau: [0, ?] 16 6.6771554 429.60701 32 0.056296996 311.8855 64 5.0992011 547.83514 128 0.53675091 652.00588 256 0.23431081 700.00485 512 0.35365006 631.37147 1024 0.13991782 780.15687 2048 0.11030987 814.86512 4096 0.12474153 641.12892 8192 0.037840281 846.28564 16384 0.027379727 878.09191 hunecke_test(): Use N sample values of the Hunecke polynomial to estimate its minimum Pmin and maximum Pmax N Pmin Pmax hunecke: [-1436.515078155, +161.120543283] 16 -1054.1124 -5.9022195 32 -1047.3726 18.545195 64 -1114.6322 -41.489393 128 -1181.1318 -5.9010429 256 -1306.5575 110.44329 512 -1172.3171 66.344572 1024 -1280.5722 61.814996 2048 -1204.2226 96.705986 4096 -1309.5843 93.473215 8192 -1310.9151 117.77893 16384 -1323.4855 105.20152 kearfott_test(): Use N sample values of the Kearfott polynomial to estimate its minimum Pmin and maximum Pmax N Pmin Pmax kearfott: [ 0, ? ]: 16 2.1606932 85.404194 32 1.0200377 83.475207 64 2.4961081 112.24238 128 0.79832287 77.051999 256 1.0410325 113.92968 512 0.40747829 142.82006 1024 0.17239441 130.10452 2048 0.051744303 173.53566 4096 0.088199557 155.33151 8192 0.12622882 152.4644 16384 0.072673437 168.71553 lv3_test(): Use N sample values of the LV3 polynomial to estimate its minimum Pmin and maximum Pmax N Pmin Pmax lv3: [-9.35, +14.8 ] 16 -1.9852264 4.1535838 32 -2.5391291 4.8734263 64 -4.1889815 5.0347336 128 -5.1498291 5.0917751 256 -7.8385312 6.6822802 512 -7.6789841 6.5479604 1024 -7.1241324 7.0169005 2048 -8.3251209 8.4073742 4096 -8.3237629 7.861788 8192 -8.6457709 8.1405775 16384 -8.6664757 8.3951731 lv4_test(): Use N sample values of the LV4 polynomial to estimate its minimum Pmin and maximum Pmax N Pmin Pmax lv4: [-20.8, +22.8] 16 -5.4252453 5.3628439 32 -3.645326 8.3268344 64 -6.920981 8.5197854 128 -5.1236887 7.793416 256 -8.1152343 9.5515119 512 -8.971915 11.284929 1024 -8.9903711 9.6201413 2048 -9.3383914 11.408583 4096 -11.319217 12.930251 8192 -10.8937 11.714525 16384 -11.191652 13.473465 magnetism6_test(): Use N sample values of the Magnetism6 polynomial to estimate its minimum Pmin and maximum Pmax N Pmin Pmax magnetism6: [-0.25, +280.0] 16 47.095018 163.71187 32 27.491258 182.11924 64 30.449056 173.71466 128 28.60917 161.9419 256 9.1017242 204.92113 512 15.294174 194.08211 1024 12.419977 196.23202 2048 7.802535 209.79461 4096 1.0850771 225.44648 8192 5.9818517 234.24127 16384 2.2223935 237.66831 magnetism7_test(): Use N sample values of the Magnetism7 polynomial to estimate its minimum Pmin and maximum Pmax N Pmin Pmax magnetism7: [-0.25, +330.0] 16 1.0044767 8.2685997 32 1.7247126 7.5261969 64 0.90041106 7.9703596 128 1.0589038 10.080258 256 0.44549156 8.4563683 512 0.48462137 9.8417543 1024 0.41165563 10.804727 2048 0.071876452 9.5912372 4096 0.22793772 10.698124 8192 -0.069484933 10.021156 16384 0.090638311 10.901984 quadratic_test(): Use N sample values of the Quadratic polynomial to estimate its minimum Pmin and maximum Pmax N Pmin Pmax quadratic: [ -2, ? ]: 16 13733.718 37662.527 32 12679.041 54824.371 64 3864.4396 52941.67 128 7938.6115 50886.422 256 4959.2775 51705.773 512 3744.2972 51754.391 1024 8423.0887 55295.605 2048 1685.3323 59248.771 4096 2768.88 68214.182 8192 1500.3248 57263.566 16384 1511.2075 62277.285 rd_test(): Use N sample values of the RD polynomial to estimate its minimum Pmin and maximum Pmax N Pmin Pmax rd: [-36.71269068, +10.40560403] 16 -22.535039 5.5164991 32 -27.259425 6.2527363 64 -25.397966 6.681113 128 -33.702249 7.6519247 256 -33.074499 8.5337176 512 -33.578087 9.7717777 1024 -32.468095 9.5963342 2048 -33.180071 9.7553341 4096 -33.906846 9.5825308 8192 -34.860988 9.9982135 16384 -35.194371 9.967493 reimer5_test(): Use N sample values of the Reimer5 polynomial to estimate its minimum Pmin and maximum Pmax N Pmin Pmax reimer5: [-5.0, +5.0] 16 -2.4140674 0.56671862 32 -2.4032268 1.6047886 64 -3.0543038 1.6113428 128 -2.8132225 2.1700684 256 -3.4301821 2.6331345 512 -3.9828016 2.65257 1024 -4.3912209 3.443622 2048 -4.0820447 3.729412 4096 -4.4787886 3.2576274 8192 -4.696131 4.1361486 16384 -4.7222081 4.074506 reimer6_test(): Use N sample values of the Reimer6 polynomial to estimate its minimum Pmin and maximum Pmax N Pmin Pmax reimer6: [-937501, +937499] 16 -35002.652 282258.74 32 -239380.08 167029.27 64 -385329.3 208173.84 128 -269037.98 370469.32 256 -292661.51 264778.43 512 -367392.98 276910.63 1024 -411425.39 281174.55 2048 -386542.62 356547.15 4096 -486250.29 412856.81 8192 -466318.05 413127.17 16384 -457699.24 471894.08 rosenbrock_test(): Use N sample values of the Rosenbrock polynomial to estimate its minimum Pmin and maximum Pmax N Pmin Pmax rosenbrock: [ 0, ? ]: 16 3938.1834 39466.211 32 296.72442 36269.078 64 748.11492 39240.301 128 296.39864 43470.439 256 271.32955 50633.949 512 343.93644 51252.374 1024 12.408738 45718.134 2048 47.284883 56532.185 4096 51.229089 53762.644 8192 4.6547342 62919.439 16384 14.864004 55234.799 schwefel_test(): Use N sample values of the Schwefel polynomial to estimate its minimum Pmin and maximum Pmax N Pmin Pmax schwefel: [ 0, ? ]: 16 395.69481 17101.294 32 34.389067 9210.4563 64 6.4649799 14336.417 128 12.443928 16151.814 256 3.7817663 17921.007 512 1.2705655 19873.632 1024 2.5537489 22098.055 2048 2.3927762 20553.934 4096 1.6441628 21381.513 8192 0.90487213 21320.301 16384 0.4781117 22834.161 smith1_test(): Use N sample values of the Smith1 polynomial to estimate its minimum Pmin and maximum Pmax N Pmin Pmax smith1: [ ?, ? ]: 16 28763.265 189805.05 32 23323.876 142228.93 64 11392.152 219966.66 128 5350.6557 341348.64 256 7591.9353 403964.15 512 980.93057 354804.3 1024 5001.4638 411356.93 2048 1391.5064 409591.19 4096 3626.058 412735.87 8192 270.58642 451808.69 16384 409.61278 463346.55 smith2_test(): Use N sample values of the Smith2 polynomial to estimate its minimum Pmin and maximum Pmax N Pmin Pmax smith2: [ ?, ? ]: 16 -117357.86 -1032.8449 32 -43680.58 -136.09012 64 -122875.1 -84.12815 128 -122012.1 17.20073 256 -155812.16 -3.0655029 512 -182417.36 239.7637 1024 -139080.89 101.9477 2048 -231109.85 167.50835 4096 -275427.19 223.83811 8192 -312151.82 206.00863 16384 -277413.52 194.70627 virasoro_test(): Use N sample values of the Virasoro polynomial to estimate its minimum Pmin and maximum Pmax N Pmin Pmax virasoro: [-29.0, +21.0] 16 -8.9986064 11.685543 32 -10.613542 13.870359 64 -10.779471 14.709746 128 -9.2530834 15.552045 256 -11.760017 18.701716 512 -12.192575 16.244518 1024 -15.88277 17.877785 2048 -14.891815 18.924918 4096 -18.275703 19.320677 8192 -16.097705 20.011834 16384 -20.529998 19.520804 wright_test(): Use N sample values of the Wright polynomial to estimate its minimum Pmin and maximum Pmax N Pmin Pmax wright: [-30.25, 40.0 ] 16 -10.689953 -8.7952604 32 -11.549552 -8.6289326 64 -11.631828 -8.2791738 128 -11.690318 -8.3198445 256 -11.555777 -8.4809102 512 -11.761604 -8.0156941 1024 -11.946772 -8.070807 2048 -11.663966 -7.6400551 4096 -11.961645 -7.9048401 8192 -11.914734 -7.870148 16384 -12.053708 -7.6168683 zakharov_test(): Use N sample values of the Zakharov polynomial to estimate its minimum Pmin and maximum Pmax N Pmin Pmax zakharov: [ 0, ? ]: 16 99.924169 1501774.5 32 120.37487 4960228.4 64 55.259893 10677665 128 16.799513 11785306 256 41.502857 10405290 512 12.57505 13599838 1024 8.1296261 17105628 2048 19.54419 15307361 4096 2.3695949 16944117 8192 6.1117119 19889981 16384 4.9581882 26306866 polynomials_test(): Normal end of execution. Wed Oct 8 08:46:35 2025