[MATLAB学习笔记]peaks函数1013(2)
2024-05-12 03:20:11
>> Z = peaksZ =1 至 10 列0.0001 0.0001 0.0002 0.0004 0.0007 0.0011 0.0017 0.0025 0.0034 0.00430.0001 0.0002 0.0004 0.0006 0.0010 0.0017 0.0026 0.0037 0.0051 0.00640.0002 0.0003 0.0005 0.0009 0.0016 0.0025 0.0038 0.0055 0.0074 0.00910.0002 0.0004 0.0008 0.0014 0.0023 0.0036 0.0055 0.0079 0.0105 0.01280.0003 0.0006 0.0011 0.0019 0.0032 0.0051 0.0077 0.0110 0.0147 0.01780.0004 0.0008 0.0015 0.0026 0.0044 0.0070 0.0106 0.0151 0.0201 0.02440.0005 0.0010 0.0019 0.0034 0.0058 0.0093 0.0141 0.0203 0.0272 0.03330.0007 0.0013 0.0024 0.0043 0.0073 0.0118 0.0182 0.0266 0.0361 0.04510.0007 0.0015 0.0028 0.0051 0.0088 0.0145 0.0227 0.0337 0.0468 0.06030.0008 0.0015 0.0030 0.0056 0.0100 0.0168 0.0270 0.0410 0.0588 0.07850.0006 0.0014 0.0029 0.0056 0.0103 0.0181 0.0300 0.0473 0.0703 0.09810.0003 0.0008 0.0020 0.0045 0.0091 0.0171 0.0302 0.0502 0.0786 0.1157-0.0005 -0.0004 0.0002 0.0018 0.0053 0.0124 0.0252 0.0464 0.0789 0.1250-0.0016 -0.0023 -0.0030 -0.0033 -0.0021 0.0022 0.0122 0.0316 0.0651 0.1174-0.0033 -0.0053 -0.0081 -0.0113 -0.0143 -0.0154 -0.0119 0.0011 0.0299 0.0825-0.0057 -0.0095 -0.0151 -0.0228 -0.0322 -0.0422 -0.0497 -0.0496 -0.0335 0.0096-0.0088 -0.0149 -0.0244 -0.0381 -0.0565 -0.0790 -0.1032 -0.1234 -0.1301 -0.1091-0.0125 -0.0216 -0.0358 -0.0571 -0.0869 -0.1258 -0.1722 -0.2208 -0.2612 -0.2767-0.0166 -0.0291 -0.0489 -0.0790 -0.1223 -0.1809 -0.2545 -0.3388 -0.4232 -0.4891-0.0211 -0.0372 -0.0630 -0.1028 -0.1609 -0.2414 -0.3457 -0.4709 -0.6070 -0.7341-0.0255 -0.0452 -0.0771 -0.1267 -0.2000 -0.3029 -0.4391 -0.6075 -0.7989 -0.9932-0.0296 -0.0526 -0.0901 -0.1488 -0.2363 -0.3605 -0.5271 -0.7370 -0.9825 -1.2435-0.0330 -0.0587 -0.1010 -0.1673 -0.2669 -0.4092 -0.6020 -0.8481 -1.1412 -1.4621-0.0353 -0.0631 -0.1087 -0.1806 -0.2891 -0.4448 -0.6573 -0.9310 -1.2612 -1.6293-0.0365 -0.0653 -0.1127 -0.1877 -0.3010 -0.4645 -0.6886 -0.9791 -1.3327 -1.7320-0.0364 -0.0652 -0.1127 -0.1880 -0.3020 -0.4670 -0.6940 -0.9896 -1.3516 -1.7642-0.0351 -0.0629 -0.1089 -0.1818 -0.2924 -0.4528 -0.6741 -0.9633 -1.3190 -1.7271-0.0327 -0.0587 -0.1016 -0.1698 -0.2734 -0.4238 -0.6317 -0.9040 -1.2401 -1.6272-0.0295 -0.0529 -0.0916 -0.1532 -0.2468 -0.3829 -0.5711 -0.8179 -1.1230 -1.4752-0.0257 -0.0461 -0.0798 -0.1335 -0.2150 -0.3335 -0.4975 -0.7124 -0.9778 -1.2837-0.0216 -0.0387 -0.0671 -0.1121 -0.1805 -0.2796 -0.4165 -0.5953 -0.8151 -1.0667-0.0175 -0.0314 -0.0543 -0.0905 -0.1454 -0.2247 -0.3335 -0.4745 -0.6460 -0.8388-0.0137 -0.0244 -0.0421 -0.0700 -0.1119 -0.1720 -0.2535 -0.3575 -0.4808 -0.6141-0.0102 -0.0182 -0.0312 -0.0515 -0.0817 -0.1242 -0.1807 -0.2503 -0.3287 -0.4059-0.0073 -0.0129 -0.0219 -0.0357 -0.0558 -0.0832 -0.1180 -0.1580 -0.1972 -0.2251-0.0049 -0.0086 -0.0143 -0.0229 -0.0348 -0.0501 -0.0674 -0.0833 -0.0910 -0.0792-0.0031 -0.0052 -0.0085 -0.0131 -0.0189 -0.0250 -0.0293 -0.0275 -0.0121 0.0282-0.0018 -0.0029 -0.0044 -0.0062 -0.0077 -0.0075 -0.0030 0.0105 0.0405 0.0981-0.0009 -0.0013 -0.0016 -0.0016 -0.0004 0.0035 0.0130 0.0328 0.0700 0.1349-0.0003 -0.0003 -0.0000 0.0010 0.0036 0.0094 0.0210 0.0428 0.0813 0.14550.0000 0.0002 0.0008 0.0023 0.0053 0.0115 0.0232 0.0440 0.0797 0.13760.0002 0.0005 0.0011 0.0026 0.0056 0.0113 0.0217 0.0398 0.0703 0.11900.0002 0.0005 0.0011 0.0024 0.0050 0.0097 0.0183 0.0330 0.0573 0.09590.0002 0.0004 0.0010 0.0020 0.0040 0.0077 0.0143 0.0255 0.0438 0.07270.0002 0.0004 0.0007 0.0015 0.0030 0.0057 0.0105 0.0185 0.0316 0.05220.0001 0.0003 0.0005 0.0011 0.0021 0.0040 0.0073 0.0128 0.0217 0.03570.0001 0.0002 0.0004 0.0007 0.0014 0.0026 0.0048 0.0084 0.0142 0.02330.0001 0.0001 0.0002 0.0005 0.0009 0.0017 0.0030 0.0052 0.0089 0.01450.0000 0.0001 0.0001 0.0003 0.0005 0.0010 0.0018 0.0031 0.0053 0.008711 至 20 列0.0051 0.0052 0.0042 0.0010 -0.0050 -0.0151 -0.0299 -0.0500 -0.0752 -0.10490.0073 0.0070 0.0046 -0.0013 -0.0123 -0.0299 -0.0555 -0.0898 -0.1327 -0.18280.0101 0.0091 0.0045 -0.0059 -0.0244 -0.0537 -0.0959 -0.1520 -0.2217 -0.30280.0138 0.0116 0.0037 -0.0131 -0.0427 -0.0889 -0.1549 -0.2425 -0.3510 -0.47670.0188 0.0150 0.0028 -0.0227 -0.0671 -0.1362 -0.2346 -0.3648 -0.5260 -0.71270.0257 0.0204 0.0031 -0.0328 -0.0955 -0.1931 -0.3322 -0.5166 -0.7450 -1.01010.0357 0.0294 0.0074 -0.0396 -0.1224 -0.2521 -0.4382 -0.6860 -0.9942 -1.35310.0500 0.0445 0.0197 -0.0364 -0.1379 -0.2995 -0.5340 -0.8491 -1.2440 -1.70660.0698 0.0684 0.0452 -0.0146 -0.1285 -0.3154 -0.5921 -0.9694 -1.4478 -2.01390.0959 0.1035 0.0888 0.0350 -0.0791 -0.2766 -0.5790 -1.0012 -1.5465 -2.20150.1271 0.1497 0.1532 0.1190 0.0232 -0.1616 -0.4619 -0.8983 -1.4783 -2.19130.1594 0.2034 0.2358 0.2377 0.1833 0.0416 -0.2194 -0.6268 -1.1951 -1.91900.1851 0.2555 0.3265 0.3809 0.3923 0.3273 0.1483 -0.1794 -0.6798 -1.35660.1924 0.2906 0.4064 0.5258 0.6242 0.6667 0.6110 0.4135 0.0390 -0.52930.1667 0.2886 0.4485 0.6379 0.8358 1.0077 1.1071 1.0816 0.8826 0.47750.0925 0.2275 0.4225 0.6762 0.9734 1.2818 1.5521 1.7232 1.7323 1.5288-0.0427 0.0884 0.3007 0.6017 0.9838 1.4187 1.8559 2.2265 2.4537 2.4679-0.2448 -0.1389 0.0663 0.3883 0.8283 1.3639 1.9450 2.4965 2.9286 3.1536-0.5096 -0.4516 -0.2806 0.0312 0.4947 1.0945 1.7829 2.4804 3.0862 3.4962-0.8221 -0.8316 -0.7197 -0.4485 0.0032 0.6277 1.3811 2.1818 2.9204 3.4790-1.1576 -1.2476 -1.2128 -1.0059 -0.5959 0.0182 0.7969 1.6586 2.4879 3.1565-1.4856 -1.6604 -1.7110 -1.5819 -1.2331 -0.6557 0.1168 1.0040 1.8874 2.6313-1.7752 -2.0296 -2.1635 -2.1147 -1.8359 -1.3103 -0.5659 0.3199 1.2281 2.0186-2.0001 -2.3211 -2.5274 -2.5523 -2.3425 -1.8752 -1.1727 -0.3082 0.6009 1.4138-2.1425 -2.5116 -2.7736 -2.8594 -2.7119 -2.3039 -1.6523 -0.8254 0.0636 0.8762-2.1943 -2.5908 -2.8889 -3.0197 -2.9249 -2.5742 -1.9803 -1.2054 -0.3566 0.4334-2.1565 -2.5593 -2.8733 -3.0322 -2.9786 -2.6813 -2.1491 -1.4381 -0.6469 0.1004-2.0374 -2.4262 -2.7362 -2.9054 -2.8795 -2.6279 -2.1564 -1.5143 -0.7909 -0.0991-1.8494 -2.2057 -2.4923 -2.6528 -2.6376 -2.4177 -1.9968 -1.4179 -0.7599 -0.1237-1.6080 -1.9153 -2.1597 -2.2911 -2.2651 -2.0555 -1.6647 -1.1295 -0.5190 0.0775-1.3303 -1.5747 -1.7597 -1.8411 -1.7802 -1.5536 -1.1629 -0.6402 -0.0458 0.5413-1.0348 -1.2063 -1.3178 -1.3307 -1.2112 -0.9387 -0.5149 0.0321 0.6487 1.2637-0.7403 -0.8341 -0.8639 -0.7955 -0.5991 -0.2571 0.2289 0.8332 1.5069 2.1843-0.4651 -0.4828 -0.4301 -0.2763 0.0050 0.4291 0.9940 1.6756 2.4281 3.1888-0.2250 -0.1746 -0.0470 0.1856 0.5471 1.0509 1.6944 2.4546 3.2876 4.1326-0.0316 0.0733 0.2606 0.5558 0.9804 1.5465 2.2508 3.0712 3.9654 4.87450.1094 0.2518 0.4784 0.8129 1.2745 1.8739 2.6076 3.4544 4.3742 5.31050.1984 0.3600 0.6041 0.9517 1.4202 2.0186 2.7436 3.5754 4.4769 5.39510.2411 0.4054 0.6464 0.9826 1.4291 1.9937 2.6731 3.4495 4.2896 5.14570.2472 0.4009 0.6226 0.9279 1.3295 1.8340 2.4382 3.1270 3.8715 4.63050.2279 0.3622 0.5539 0.8156 1.1578 1.5857 2.0967 2.6781 3.3060 3.94630.1940 0.3047 0.4613 0.6741 0.9511 1.2963 1.7078 2.1753 2.6801 3.19490.1547 0.2410 0.3626 0.5271 0.7406 1.0062 1.3221 1.6809 2.0681 2.46290.1165 0.1805 0.2704 0.3916 0.5486 0.7437 0.9754 1.2384 1.5222 1.81160.0833 0.1286 0.1920 0.2773 0.3877 0.5246 0.6872 0.8717 1.0706 1.27350.0567 0.0873 0.1301 0.1876 0.2618 0.3539 0.4631 0.5870 0.7205 0.85680.0369 0.0567 0.0843 0.1214 0.1693 0.2286 0.2989 0.3787 0.4646 0.55240.0230 0.0352 0.0523 0.0753 0.1049 0.1415 0.1850 0.2343 0.2874 0.34160.0137 0.0210 0.0312 0.0448 0.0624 0.0841 0.1099 0.1391 0.1706 0.202821 至 30 列-0.1373 -0.1703 -0.2010 -0.2268 -0.2450 -0.2539 -0.2527 -0.2419 -0.2228 -0.1976-0.2373 -0.2924 -0.3437 -0.3862 -0.4161 -0.4302 -0.4276 -0.4087 -0.3761 -0.3332-0.3908 -0.4795 -0.5616 -0.6296 -0.6769 -0.6989 -0.6937 -0.6625 -0.6090 -0.5392-0.6130 -0.7502 -0.8769 -0.9816 -1.0541 -1.0873 -1.0784 -1.0292 -0.9456 -0.8368-0.9150 -1.1186 -1.3066 -1.4619 -1.5692 -1.6183 -1.6047 -1.5311 -1.4063 -1.2440-1.2975 -1.5872 -1.8552 -2.0768 -2.2305 -2.3012 -2.2825 -2.1782 -2.0008 -1.7696-1.7436 -2.1385 -2.5050 -2.8095 -3.0220 -3.1215 -3.0991 -2.9593 -2.7192 -2.4049-2.2129 -2.7277 -3.2083 -3.6104 -3.8941 -4.0312 -4.0090 -3.8328 -3.5242 -3.1175-2.6390 -3.2799 -3.8835 -4.3937 -4.7596 -4.9441 -4.9299 -4.7220 -4.3468 -3.8464-2.9344 -3.6950 -4.4203 -5.0422 -5.4980 -5.7407 -5.7466 -5.5195 -5.0892 -4.5057-3.0044 -3.8632 -4.6961 -5.4243 -5.9729 -6.2841 -6.3265 -6.1007 -5.6382 -4.9949-2.7688 -3.6887 -4.6022 -5.4212 -6.0597 -6.4484 -6.5466 -6.3493 -5.8868 -5.2188-2.1871 -3.1194 -4.0754 -4.9609 -5.6803 -6.1524 -6.3256 -6.1865 -5.7616 -5.1108-1.2803 -2.1704 -3.1249 -4.0468 -4.8324 -5.3892 -5.6528 -5.5992 -5.2474 -4.6547-0.1387 -0.9351 -1.8447 -2.7711 -3.6043 -4.2407 -4.6024 -4.6523 -4.3997 -3.89621.0887 0.4263 -0.4022 -1.3037 -2.1640 -2.8684 -3.3250 -3.4825 -3.3385 -2.93752.2247 1.7198 0.9965 0.1427 -0.7239 -1.4786 -2.0151 -2.2677 -2.2222 -1.91593.1065 2.7641 2.1563 1.3652 0.5112 -0.2713 -0.8627 -1.1833 -1.2084 -0.96913.6265 3.4362 2.9423 2.2213 1.3962 0.6103 -0.0048 -0.3572 -0.4134 -0.20093.7573 3.6990 3.3096 2.6610 1.8782 1.1122 0.5053 0.1590 0.1129 0.34083.5507 3.6013 3.3044 2.7275 1.9975 1.2715 0.7001 0.3916 0.3896 0.66693.1121 3.2505 3.0346 2.5283 1.8589 1.1878 0.6708 0.4211 0.4837 0.82932.5614 2.7697 2.6254 2.1883 1.5850 0.9779 0.5256 0.3431 0.4756 0.89141.9972 2.2598 2.1785 1.8088 1.2741 0.7353 0.3502 0.2332 0.4285 0.90281.4796 1.7807 1.7530 1.4470 0.9810 0.5110 0.1904 0.1308 0.3744 0.88741.0358 1.3586 1.3733 1.1254 0.7258 0.3222 0.0607 0.0474 0.3221 0.85100.6823 1.0107 1.0566 0.8601 0.5228 0.1815 -0.0281 -0.0076 0.2795 0.80100.4491 0.7721 0.8409 0.6902 0.4108 0.1260 -0.0414 -0.0021 0.2770 0.76640.3898 0.7058 0.7963 0.6896 0.4641 0.2280 0.0898 0.1289 0.3754 0.80410.5701 0.8904 1.0102 0.9505 0.7763 0.5794 0.4535 0.4683 0.6522 0.98641.0400 1.3869 1.5519 1.5469 1.4226 1.2541 1.1205 1.0835 1.1713 1.37401.8026 2.2039 2.4335 2.4928 2.4174 2.2663 2.1052 1.9892 1.9492 1.98632.7942 3.2746 3.5855 3.7167 3.6886 3.5451 3.3404 3.1252 2.9344 2.78223.8879 4.4609 4.8606 5.0652 5.0811 4.9383 4.6815 4.3584 4.0099 3.66304.9199 5.5821 6.0650 6.3364 6.3901 6.2447 5.9370 5.5130 5.0190 4.49415.7291 6.4596 7.0065 7.3295 7.4125 7.2649 6.9171 6.4137 5.8052 5.14006.1956 6.9599 7.5413 7.8945 7.9966 7.8502 7.4805 6.9301 6.2513 5.49866.2663 7.0235 7.6052 7.9645 8.0752 7.9350 7.5649 7.0044 6.3054 5.52395.9599 6.6705 7.2199 7.5628 7.6723 7.5437 7.1939 6.6586 5.9862 5.23095.3534 5.9860 6.4772 6.7858 6.8867 6.7738 6.4608 5.9787 5.3705 4.68504.5569 5.0921 5.5089 5.7719 5.8591 5.7645 5.4989 5.0878 4.5675 3.98013.6860 4.1172 4.4536 4.6665 4.7378 4.6621 4.4476 4.1147 3.6925 3.21512.8399 3.1711 3.4298 3.5940 3.6493 3.5915 3.4264 3.1697 2.8437 2.47472.0880 2.3310 2.5210 2.6417 2.6826 2.6403 2.5191 2.3302 2.0901 1.81821.4674 1.6379 1.7713 1.8561 1.8850 1.8554 1.7702 1.6374 1.4685 1.27710.9870 1.1016 1.1912 1.2483 1.2678 1.2479 1.1907 1.1013 0.9876 0.85870.6362 0.7100 0.7677 0.8045 0.8171 0.8043 0.7675 0.7098 0.6365 0.55330.3933 0.4389 0.4746 0.4974 0.5052 0.4973 0.4745 0.4389 0.3935 0.34200.2335 0.2605 0.2817 0.2952 0.2999 0.2952 0.2817 0.2605 0.2336 0.203031 至 40 列-0.1687 -0.1388 -0.1100 -0.0839 -0.0617 -0.0437 -0.0298 -0.0195 -0.0123 -0.0074-0.2843 -0.2337 -0.1851 -0.1412 -0.1038 -0.0735 -0.0501 -0.0328 -0.0207 -0.0125-0.4598 -0.3778 -0.2991 -0.2281 -0.1676 -0.1186 -0.0807 -0.0529 -0.0333 -0.0201-0.7133 -0.5857 -0.4634 -0.3532 -0.2593 -0.1833 -0.1247 -0.0816 -0.0513 -0.0309-1.0599 -0.8700 -0.6879 -0.5238 -0.3841 -0.2711 -0.1841 -0.1202 -0.0753 -0.0453-1.5072 -1.2363 -0.9766 -0.7428 -0.5438 -0.3830 -0.2593 -0.1687 -0.1053 -0.0629-2.0476 -1.6783 -1.3242 -1.0054 -0.7343 -0.5155 -0.3476 -0.2249 -0.1393 -0.0825-2.6533 -2.1726 -1.7112 -1.2960 -0.9432 -0.6591 -0.4417 -0.2835 -0.1738 -0.1014-3.2721 -2.6756 -2.1024 -1.5864 -1.1487 -0.7972 -0.5293 -0.3354 -0.2022 -0.1153-3.8303 -3.1257 -2.4472 -1.8367 -1.3198 -0.9062 -0.5931 -0.3684 -0.2159 -0.1181-4.2413 -3.4503 -2.6867 -1.9997 -1.4198 -0.9586 -0.6125 -0.3676 -0.2045 -0.1029-4.4227 -3.5798 -2.7633 -2.0295 -1.4128 -0.9267 -0.5671 -0.3181 -0.1575 -0.0622-4.3156 -3.4636 -2.6349 -1.8912 -1.2710 -0.7890 -0.4405 -0.2076 -0.0660 0.0100-3.9037 -3.0859 -2.2864 -1.5716 -0.9826 -0.5353 -0.2242 -0.0296 0.0752 0.1177-3.2230 -2.4740 -1.7376 -1.0839 -0.5561 -0.1705 0.0793 0.2151 0.2660 0.2614-2.3584 -1.6959 -1.0415 -0.4679 -0.0204 0.2849 0.4561 0.5175 0.5008 0.4374-1.4251 -0.8459 -0.2729 0.2182 0.5807 0.7990 0.8834 0.8616 0.7687 0.6388-0.5407 -0.0220 0.4883 0.9111 1.1979 1.3342 1.3333 1.2274 1.0556 0.85580.2037 0.6974 1.1760 1.5557 1.7864 1.8548 1.7781 1.5935 1.3458 1.07700.7628 1.2695 1.7498 2.1150 2.3130 2.3319 2.1932 1.9402 1.6236 1.29061.1388 1.6886 2.1978 2.5723 2.7582 2.7452 2.5595 2.2503 1.8746 1.48531.3679 1.9758 2.5279 2.9255 3.1129 3.0816 2.8620 2.5090 2.0858 1.65001.4962 2.1610 2.7556 3.1781 3.3721 3.3308 3.0881 2.7037 2.2453 1.77481.5592 2.2662 2.8913 3.3315 3.5307 3.4836 3.2269 2.8231 2.3431 1.85121.5728 2.2997 2.9369 3.3827 3.5823 3.5319 3.2695 2.8588 2.3718 1.87321.5400 2.2624 2.8915 3.3293 3.5237 3.4721 3.2125 2.8078 2.3287 1.83871.4682 2.1617 2.7624 3.1785 3.3618 3.3106 3.0616 2.6749 2.2178 1.75071.3852 2.0243 2.5754 2.9549 3.1192 3.0675 2.8340 2.4743 2.0503 1.61791.3442 1.9002 2.3768 2.7007 2.8338 2.7758 2.5576 2.2287 1.8442 1.45371.4129 1.8523 2.2246 2.4685 2.5522 2.4759 2.2662 1.9656 1.6210 1.27461.6492 1.9356 2.1708 2.3066 2.3181 2.2062 1.9925 1.7117 1.4018 1.09642.0754 2.1756 2.2433 2.2440 2.1603 1.9936 1.7607 1.4878 1.2034 0.93242.6622 2.5543 2.4338 2.2805 2.0844 1.8473 1.5813 1.3043 1.0354 0.79053.3298 3.0104 2.6983 2.3866 2.0722 1.7577 1.4506 1.1611 0.8994 0.67313.9669 3.4553 2.9689 2.5124 2.0890 1.7016 1.3539 1.0495 0.7907 0.57804.4599 3.7969 3.1732 2.6030 2.0942 1.6502 1.2716 0.9565 0.7010 0.49994.7222 3.9637 3.2540 2.6136 2.0538 1.5783 1.1853 0.8690 0.6214 0.43294.7138 3.9214 3.1822 2.5202 1.9483 1.4703 1.0829 0.7781 0.5451 0.37214.4457 3.6771 2.9614 2.3232 1.7760 1.3231 0.9607 0.6798 0.4686 0.31473.9712 3.2721 2.6218 2.0437 1.5502 1.1445 0.8225 0.5754 0.3919 0.25983.3676 2.7676 2.2099 1.7150 1.2939 0.9491 0.6771 0.4698 0.3170 0.20812.7170 2.2289 1.7755 1.3736 1.0324 0.7539 0.5349 0.3689 0.2473 0.16112.0894 1.7119 1.3614 1.0509 0.7877 0.5733 0.4052 0.2782 0.1855 0.12021.5342 1.2559 0.9975 0.7688 0.5751 0.4175 0.2943 0.2014 0.1338 0.08631.0771 0.8811 0.6992 0.5383 0.4020 0.2914 0.2050 0.1399 0.0927 0.05960.7240 0.5920 0.4694 0.3611 0.2694 0.1950 0.1369 0.0933 0.0617 0.03960.4664 0.3812 0.3021 0.2322 0.1731 0.1252 0.0878 0.0597 0.0394 0.02530.2883 0.2355 0.1866 0.1434 0.1068 0.0772 0.0541 0.0368 0.0242 0.01550.1711 0.1397 0.1107 0.0850 0.0633 0.0457 0.0320 0.0217 0.0143 0.009141 至 49 列-0.0043 -0.0024 -0.0013 -0.0006 -0.0003 -0.0001 -0.0001 -0.0000 -0.0000-0.0073 -0.0040 -0.0021 -0.0011 -0.0005 -0.0002 -0.0001 -0.0000 -0.0000-0.0117 -0.0065 -0.0034 -0.0017 -0.0008 -0.0004 -0.0001 -0.0001 -0.0000-0.0179 -0.0099 -0.0052 -0.0026 -0.0012 -0.0005 -0.0002 -0.0001 -0.0000-0.0261 -0.0143 -0.0075 -0.0037 -0.0017 -0.0007 -0.0003 -0.0001 -0.0000-0.0359 -0.0195 -0.0100 -0.0049 -0.0022 -0.0009 -0.0003 -0.0001 0.0000-0.0465 -0.0249 -0.0125 -0.0058 -0.0025 -0.0009 -0.0002 0.0000 0.0001-0.0561 -0.0291 -0.0141 -0.0061 -0.0023 -0.0006 0.0000 0.0002 0.0002-0.0616 -0.0305 -0.0135 -0.0050 -0.0012 0.0003 0.0006 0.0006 0.0004-0.0593 -0.0262 -0.0092 -0.0015 0.0014 0.0021 0.0018 0.0013 0.0008-0.0442 -0.0134 0.0007 0.0057 0.0063 0.0051 0.0037 0.0024 0.0014-0.0116 0.0112 0.0183 0.0177 0.0140 0.0100 0.0065 0.0040 0.00230.0429 0.0505 0.0454 0.0356 0.0255 0.0170 0.0106 0.0063 0.00360.1220 0.1063 0.0834 0.0604 0.0411 0.0264 0.0162 0.0095 0.00530.2262 0.1793 0.1325 0.0924 0.0611 0.0385 0.0232 0.0134 0.00740.3536 0.2682 0.1924 0.1312 0.0854 0.0532 0.0317 0.0182 0.01000.4996 0.3703 0.2611 0.1759 0.1133 0.0700 0.0416 0.0237 0.01300.6577 0.4812 0.3362 0.2247 0.1440 0.0886 0.0524 0.0298 0.01630.8200 0.5957 0.4139 0.2755 0.1760 0.1080 0.0637 0.0362 0.01980.9778 0.7077 0.4903 0.3256 0.2076 0.1272 0.0750 0.0425 0.02331.1224 0.8108 0.5609 0.3721 0.2371 0.1452 0.0855 0.0485 0.02651.2453 0.8988 0.6213 0.4120 0.2624 0.1606 0.0946 0.0536 0.02931.3388 0.9658 0.6674 0.4424 0.2817 0.1724 0.1015 0.0576 0.03141.3959 1.0067 0.6956 0.4610 0.2935 0.1796 0.1058 0.0600 0.03281.4122 1.0182 0.7034 0.4662 0.2968 0.1816 0.1070 0.0606 0.03311.3859 0.9991 0.6901 0.4574 0.2911 0.1782 0.1049 0.0595 0.03251.3193 0.9510 0.6568 0.4352 0.2770 0.1695 0.0998 0.0566 0.03091.2188 0.8784 0.6065 0.4019 0.2558 0.1565 0.0922 0.0522 0.02851.0943 0.7881 0.5440 0.3603 0.2292 0.1402 0.0826 0.0468 0.02560.9576 0.6887 0.4748 0.3142 0.1997 0.1221 0.0719 0.0407 0.02220.8204 0.5882 0.4045 0.2672 0.1696 0.1036 0.0609 0.0345 0.01880.6926 0.4937 0.3380 0.2224 0.1408 0.0858 0.0503 0.0284 0.01550.5805 0.4100 0.2786 0.1822 0.1148 0.0696 0.0407 0.0229 0.01250.4863 0.3389 0.2278 0.1477 0.0923 0.0557 0.0324 0.0182 0.00980.4093 0.2805 0.1858 0.1190 0.0736 0.0440 0.0254 0.0142 0.00760.3463 0.2327 0.1516 0.0957 0.0585 0.0346 0.0198 0.0109 0.00580.2934 0.1933 0.1237 0.0768 0.0463 0.0270 0.0153 0.0084 0.00440.2473 0.1599 0.1006 0.0614 0.0364 0.0210 0.0117 0.0063 0.00330.2057 0.1309 0.0810 0.0487 0.0285 0.0162 0.0089 0.0048 0.00250.1676 0.1052 0.0642 0.0381 0.0220 0.0123 0.0067 0.0035 0.00180.1328 0.0825 0.0498 0.0292 0.0167 0.0092 0.0050 0.0026 0.00130.1020 0.0628 0.0376 0.0218 0.0123 0.0068 0.0036 0.0019 0.00090.0757 0.0463 0.0275 0.0159 0.0089 0.0048 0.0026 0.0013 0.00070.0541 0.0329 0.0194 0.0112 0.0062 0.0034 0.0018 0.0009 0.00040.0372 0.0226 0.0133 0.0076 0.0042 0.0023 0.0012 0.0006 0.00030.0246 0.0149 0.0087 0.0050 0.0027 0.0015 0.0008 0.0004 0.00020.0157 0.0095 0.0055 0.0031 0.0017 0.0009 0.0005 0.0002 0.00010.0096 0.0058 0.0034 0.0019 0.0011 0.0006 0.0003 0.0001 0.00010.0057 0.0034 0.0020 0.0011 0.0006 0.0003 0.0002 0.0001 0.0000>> dateans ='13-Oct-2021'>> >> figure
peaks(5)z = 3*(1-x).^2.*exp(-(x.^2) - (y+1).^2) ... - 10*(x/5 - x.^3 - y.^5).*exp(-x.^2-y.^2) ... - 1/3*exp(-(x+1).^2 - y.^2) >> >> n = -1:0.25:1;
Z = peaks(n)Z =1.8559 2.4537 2.2247 0.9965 -0.7239 -2.0151 -2.2222 -1.4251 -0.27291.7829 3.0862 3.6265 2.9423 1.3962 -0.0048 -0.4134 0.2037 1.17600.7969 2.4879 3.5507 3.3044 1.9975 0.7001 0.3896 1.1388 2.1978-0.5659 1.2281 2.5614 2.6254 1.5850 0.5256 0.4756 1.4962 2.7556-1.6523 0.0636 1.4796 1.7530 0.9810 0.1904 0.3744 1.5728 2.9369-2.1491 -0.6469 0.6823 1.0566 0.5228 -0.0281 0.2795 1.4682 2.7624-1.9968 -0.7599 0.3898 0.7963 0.4641 0.0898 0.3754 1.3442 2.3768-1.1629 -0.0458 1.0400 1.5519 1.4226 1.1205 1.1713 1.6492 2.17080.2289 1.5069 2.7942 3.5855 3.6886 3.3404 2.9344 2.6622 2.4338>> surf(Z)
>> >> x = -2:0.5:2;
y = 1:0.2:2;
[X,Y] = meshgrid(x,y);
>> [X,Y] = meshgrid(x,y)X =-2.0000 -1.5000 -1.0000 -0.5000 0 0.5000 1.0000 1.5000 2.0000-2.0000 -1.5000 -1.0000 -0.5000 0 0.5000 1.0000 1.5000 2.0000-2.0000 -1.5000 -1.0000 -0.5000 0 0.5000 1.0000 1.5000 2.0000-2.0000 -1.5000 -1.0000 -0.5000 0 0.5000 1.0000 1.5000 2.0000-2.0000 -1.5000 -1.0000 -0.5000 0 0.5000 1.0000 1.5000 2.0000-2.0000 -1.5000 -1.0000 -0.5000 0 0.5000 1.0000 1.5000 2.0000Y =1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.00001.2000 1.2000 1.2000 1.2000 1.2000 1.2000 1.2000 1.2000 1.20001.4000 1.4000 1.4000 1.4000 1.4000 1.4000 1.4000 1.4000 1.40001.6000 1.6000 1.6000 1.6000 1.6000 1.6000 1.6000 1.6000 1.60001.8000 1.8000 1.8000 1.8000 1.8000 1.8000 1.8000 1.8000 1.80002.0000 2.0000 2.0000 2.0000 2.0000 2.0000 2.0000 2.0000 2.0000>> Z = peaks(X,Y)Z =-0.4808 -0.8639 0.2289 2.7942 3.6886 2.9344 2.4338 1.5813 0.5805-0.2470 -0.1924 1.4275 4.5254 5.8902 4.6339 2.8647 1.3897 0.4382-0.0730 0.3116 2.3394 5.8525 7.5679 5.9243 3.2006 1.2552 0.33500.0320 0.5860 2.7339 6.2839 8.1000 6.3260 3.2091 1.1050 0.25610.0764 0.6437 2.5958 5.7476 7.3967 5.7698 2.8374 0.9069 0.19010.0797 0.5539 2.0967 4.5569 5.8591 4.5675 2.2099 0.6771 0.1328>> surf(Z)
>> 源代码
function [xz,y,z] = peaks(arg1,arg2)
%PEAKS A sample function of two variables.
% PEAKS is a function of two variables, obtained by translating and
% scaling Gaussian distributions, which is useful for demonstrating
% MESH, SURF, PCOLOR, CONTOUR, etc.
% There are several variants of the calling sequence:
%
% Z = PEAKS;
% Z = PEAKS(N);
% Z = PEAKS(V);
% Z = PEAKS(X,Y);
%
% PEAKS;
% PEAKS(N);
% PEAKS(V);
% PEAKS(X,Y);
%
% [X,Y,Z] = PEAKS;
% [X,Y,Z] = PEAKS(N);
% [X,Y,Z] = PEAKS(V);
%
% The first variant produces a 49-by-49 matrix.
% The second variant produces an N-by-N matrix.
% The third variant produces an N-by-N matrix where N = length(V).
% The fourth variant evaluates the function at the given X and Y,
% which must be the same size. The resulting Z is also that size.
%
% The next four variants, with no output arguments, do a SURF
% plot of the result.
%
% The last three variants also produce two matrices, X and Y, for
% use in commands such as PCOLOR(X,Y,Z) or SURF(X,Y,Z,DEL2(Z)).
%
% If not given as input, the underlying matrices X and Y are
% [X,Y] = MESHGRID(V,V)
% where V is a given vector, or V is a vector of length N with
% elements equally spaced from -3 to 3. If no input argument is
% given, the default N is 49.% CBM, 2-1-92, 8-11-92, 4-30-94.
% Copyright 1984-2011 MathWorks, Inc.if nargin == 0dx = 1/8;[x,y] = meshgrid(-3:dx:3);
elseif nargin == 1if length(arg1) == 1[x,y] = meshgrid(linspace(-3,3,arg1));else[x,y] = meshgrid(arg1,arg1); end
elsex = arg1; y = arg2;
endz = 3*(1-x).^2.*exp(-(x.^2) - (y+1).^2) ...- 10*(x/5 - x.^3 - y.^5).*exp(-x.^2-y.^2) ...- 1/3*exp(-(x+1).^2 - y.^2);if nargout > 1xz = x;
elseif nargout == 1xz = z;
else% Self demonstrationdisp(' ')disp('z = 3*(1-x).^2.*exp(-(x.^2) - (y+1).^2) ... ')disp(' - 10*(x/5 - x.^3 - y.^5).*exp(-x.^2-y.^2) ... ')disp(' - 1/3*exp(-(x+1).^2 - y.^2) ')disp(' ')surf(x,y,z)axis('tight')xlabel('x'), ylabel('y'), title('Peaks')
end
peaks
全页折叠
语法
Z = peaks
Z = peaks(n)
Z = peaks(Xm,Ym)
[X,Y,Z] = peaks(___)
peaks(___)
说明
返回坐标
Z = peaks 返回在一个 49×49 网格上计算的 peaks 函数的 z 坐标。
示例
Z = peaks(n) 返回在一个 n×n 网格上计算的 peaks 函数。如果将 n 指定为长度为 k 的向量，则 MATLAB® 将在一个 k×k 网格上计算该函数。
示例
Z = peaks(Xm,Ym) 返回在 Xm 和 Ym 指定的点上计算的 peaks 函数。Xm 和 Ym 的大小必须相同或兼容。例如，您可以将 Xm 和 Ym 指定为 meshgrid 格式的矩阵。
示例
[X,Y,Z] = peaks(___) 返回 peaks 函数的 x、y 和 z 坐标。
创建曲面图
示例
peaks(___) 将 peaks 函数绘制为一个三维曲面图。您可以使用以前语法中的任意输入参数组合。
示例
全部折叠
绘制峰值曲面
尝试此示例
View MATLAB Command
创建一个由峰值组成的 5×5 矩阵并显示该曲面。
figure peaks(5)
z = 3*(1-x).^2.*exp(-(x.^2) - (y+1).^2) ... - 10*(x/5 - x.^3 - y.^5).*exp(-x.^2-y.^2) ... - 1/3*exp(-(x+1).^2 - y.^2)
基于向量中的点绘图
尝试此示例
View MATLAB Command
在一个由区间 [-1,1] 中的等间距值定义的二维网格上计算 peaks 函数。
n = -1:0.25:1; Z = peaks(n)
Z = 9×91.8559 2.4537 2.2247 0.9965 -0.7239 -2.0151 -2.2222 -1.4251 -0.27291.7829 3.0862 3.6265 2.9423 1.3962 -0.0048 -0.4134 0.2037 1.17600.7969 2.4879 3.5507 3.3044 1.9975 0.7001 0.3896 1.1388 2.1978-0.5659 1.2281 2.5614 2.6254 1.5850 0.5256 0.4756 1.4962 2.7556-1.6523 0.0636 1.4796 1.7530 0.9810 0.1904 0.3744 1.5728 2.9369-2.1491 -0.6469 0.6823 1.0566 0.5228 -0.0281 0.2795 1.4682 2.7624-1.9968 -0.7599 0.3898 0.7963 0.4641 0.0898 0.3754 1.3442 2.3768-1.1629 -0.0458 1.0400 1.5519 1.4226 1.1205 1.1713 1.6492 2.17080.2289 1.5069 2.7942 3.5855 3.6886 3.3404 2.9344 2.6622 2.4338
使用计算的值创建一个三维曲面图。
surf(Z)
基于二维网格中的点绘图
尝试此示例
View MATLAB Command
使用向量 x 定义的 x 坐标和向量 y 定义的 y 坐标创建二维网格坐标。
x = -2:0.5:2; y = 1:0.2:2; [X,Y] = meshgrid(x,y);
在二维网格上计算 peaks 函数。
Z = peaks(X,Y)
Z = 6×9-0.4808 -0.8639 0.2289 2.7942 3.6886 2.9344 2.4338 1.5813 0.5805-0.2470 -0.1924 1.4275 4.5254 5.8902 4.6339 2.8647 1.3897 0.4382-0.0730 0.3116 2.3394 5.8525 7.5679 5.9243 3.2006 1.2552 0.33500.0320 0.5860 2.7339 6.2839 8.1000 6.3260 3.2091 1.1050 0.25610.0764 0.6437 2.5958 5.7476 7.3967 5.7698 2.8374 0.9069 0.19010.0797 0.5539 2.0967 4.5569 5.8591 4.5675 2.2099 0.6771 0.1328
使用计算的值创建一个三维曲面图。
surf(Z)
分别返回坐标并绘图
尝试此示例
View MATLAB Command
使用 peaks 函数创建三个相同大小的矩阵。然后将它们绘制为一个网格图。
[X,Y,Z] = peaks(25); mesh(X,Y,Z)
输入参数
全部折叠
n - 表示二维网格的值
标量 | 向量
表示用于计算函数的二维网格的值，指定为标量或向量。
如果
n是标量，则 MATLAB 将网格创建为[X,Y] = meshgrid(linspace(-3,3,n))。n的值必须为大于 1 的整数。如果
n是向量，则 MATLAB 将网格创建为[X,Y] = meshgrid(n)。n的元素必须为双精度数。
例如，Z = peaks(5) 的作用与使用以下代码相同。
[X,Y] = meshgrid(linspace(-3,3,5)); Z = peaks(X,Y)
示例： n = 5
示例： n = -2:0.1:2
Xm - 点的 x 坐标
标量 | 向量 | 矩阵
点的 x 坐标，指定为标量、向量或矩阵。Xm 和 Ym 的大小必须相同或兼容。您可以使用 meshgrid 函数创建 Xm 和 Ym。有关兼容数组的详细信息，请参阅基本运算的兼容数组大小。
示例： Xm = [1 2 3; 1 2 3; 1 2 3]
示例： [Xm,Ym] = meshgrid(-5:0.5:5)
数据类型： single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64
Ym - 点的 y 坐标
标量 | 向量 | 矩阵
点的 y 坐标，指定为标量、向量或矩阵。Xm 和 Ym 的大小必须相同或兼容。您可以使用 meshgrid 函数创建 Xm 和 Ym。有关兼容数组的详细信息，请参阅基本运算的兼容数组大小。
示例： Ym = [1 1 1; 2 2 2; 3 3 3]
示例： [Xm,Ym] = meshgrid(-5:0.5:5)
数据类型： single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64
输出参数
全部折叠
X - 点的 x 坐标
标量 | 向量 | 矩阵
点的 x 坐标，以标量、向量或矩阵形式返回。如果使用 Xm 和 Ym 输入参数调用 peaks，则 X 等于 Xm。否则，X 是一个指定用于计算 peaks 函数的网格上的 x 坐标的矩阵。
Y - 点的 y 坐标
标量 | 向量 | 矩阵
点的 y 坐标，以标量、向量或矩阵形式返回。如果使用 Xm 和 Ym 输入参数调用 peaks，则 Y 等于 Ym。否则，Y 是一个指定用于计算 peaks 函数的网格上的 y 坐标的矩阵。
Z - 点的 z 坐标
标量 | 向量 | 矩阵
点的 z 坐标，以标量、向量或矩阵形式返回。
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