机器学习课程 matlab 练习

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Columns 7585 through 7588 -7.7882 -10.5512 -3.4691 -7.4108 Columns 7589 through 7592 -5.9274 -4.1509 -5.7363 -5.9283 Columns 7593 through 7596 -4.8695 -4.2648 -7.8230 -4.8868 Columns 7597 through 7600 -4.0814 -4.8845 -10.8152 -2.3716 Columns 7601 through 7604 -9.2897 0.1514 -8.0916 -6.6943 Columns 7605 through 7608 -2.5552 -10.2948 -4.5334 -3.6736 Columns 7609 through 7612 -4.2989 -8.2994 -4.5607 -9.0976 Columns 7613 through 7616 -5.0551 -7.7449 -5.4014 -8.5797 Columns 7617 through 7620 -4.6936 -7.5557 -8.6939 -12.9775 Columns 7621 through 7624 -4.5120 -0.5025 -7.7562 -1.4499 Columns 7625 through 7628 -6.5841 -8.5685 -5.7387 -7.2910 Columns 7629 through 7632 -3.8041 -8.7173 -5.5908 -5.0900 Columns 7633 through 7636 -5.5976 -5.0939 -7.3395 -10.6769 Columns 7637 through 7640 -4.9309 -8.9903 -2.4784 -6.9740 Columns 7641 through 7644 -3.2718 -0.5474 -7.0731 -7.9030 Columns 7645 through 7648 -2.4845 -4.9979 -5.8821 -5.5503 Columns 7649 through 7652 -8.3370 -2.6801 -7.4543 -2.4895 Columns 7653 through 7656 -7.5373 -1.3960 -5.0604 -15.8116 Columns 7657 through 7660 -6.5774 -2.0156 -7.0083 -8.0575 Columns 7661 through 7664 -4.5807 -1.3704 -3.6538 -5.6418 Columns 7665 through 7668 -4.3707 -4.3609 -6.5697 -4.7427 Columns 7669 through 7672 -6.0409 -3.7818 -4.0359 -10.5143 Columns 7673 through 7676 -7.7295 -9.8912 -5.6962 -13.2028 Columns 7677 through 7680 -6.3733 -2.6538 -4.6203 -1.5364 Columns 7681 through 7684 -6.0462 -7.7006 -11.8020 2.3343 Columns 7685 through 7688 -5.0805 -2.6303 -4.3075 -7.2249 Columns 7689 through 7692 -7.0108 -13.9832 -9.1821 -7.3413 Columns 7693 through 7696 -8.0909 -3.6992 -4.5561 -7.6007 Columns 7697 through 7700 -9.7462 -3.5278 -6.2542 -4.9433 Columns 7701 through 7704 -4.9057 -6.3779 -3.7352 -5.2792 Columns 7705 through 7708 -5.8525 -9.3670 -5.8740 -3.1006 Columns 7709 through 7712 -7.2926 -4.7317 -3.9920 4.5322 Columns 7713 through 7716 -8.2720 -6.6450 -7.3595 -10.8477 Columns 7717 through 7720 -5.4191 -4.9709 -7.1462 -6.1422 Columns 7721 through 7724 -6.3238 -6.9557 -8.6993 -8.2746 Columns 7725 through 7728 -8.8999 -3.7898 -6.0818 -4.9626 Columns 7729 through 7732 -8.2169 -12.8506 -5.8426 -4.0200 Columns 7733 through 7736 -2.3837 -11.7606 -5.0612 -5.4987 Columns 7737 through 7740 -5.8541 -6.3498 0.1495 -9.6618 Columns 7741 through 7744 -5.3631 -4.6029 -12.2509 -4.6124 Columns 7745 through 7748 -1.3893 -6.9070 -6.9211 -10.6049 Columns 7749 through 7752 -5.0417 -2.7221 -9.9763 -10.2736 Columns 7753 through 7756 -7.8987 -5.6962 -2.4559 -4.2226 Columns 7757 through 7760 -6.2601 -8.6676 -5.8074 -4.2960 Columns 7761 through 7764 -8.2825 -5.2727 -5.1458 -1.8049 Columns 7765 through 7768 -1.0791 -11.8921 -2.5390 -8.0538 Columns 7769 through 7772 -10.1502 -7.9176 -7.5095 -5.0120 Columns 7773 through 7776 -6.6823 -10.2758 -7.1013 -12.0314 Columns 7777 through 7780 -0.9963 -8.0355 -3.8010 -3.8898 Columns 7781 through 7784 -8.0694 -10.8296 -10.8432 -3.4480 Columns 7785 through 7788 -6.3784 -2.6388 -7.4797 -15.2569 Columns 7789 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-4.2762 -5.7791 -1.5027 -7.1662 Columns 7861 through 7864 -6.9530 -5.8205 -2.8500 -6.3222 Columns 7865 through 7868 -4.2632 -6.3166 -5.2948 -12.2551 Columns 7869 through 7872 -1.5832 -2.8170 -9.3526 -13.8262 Columns 7873 through 7876 -0.7606 -5.8132 -3.0468 -4.1250 Columns 7877 through 7880 -4.6919 -2.2886 -4.4948 -11.3916 Columns 7881 through 7884 -3.8507 -7.0762 -5.3868 -5.3056 Columns 7885 through 7888 -4.9147 -7.7636 -7.8070 -9.3969 Columns 7889 through 7892 -2.5309 -5.7030 -4.5668 -2.7276 Columns 7893 through 7896 -9.6557 -9.5885 -6.5574 -3.8161 Columns 7897 through 7900 -8.7478 -8.3766 -4.3108 -5.0061 Columns 7901 through 7904 -4.2382 -3.8100 -2.6969 -11.4921 Columns 7905 through 7908 -5.5425 -4.8354 -11.3803 -5.7052 Columns 7909 through 7912 -2.6245 -10.8092 -5.8664 -7.8217 Columns 7913 through 7916 -3.7644 -9.5490 -9.5751 -1.9058 Columns 7917 through 7920 -4.4751 -1.6677 -3.2580 -4.0539 Columns 7921 through 7924 -5.6202 -10.1798 -6.0215 -5.3479 Columns 7925 through 7928 -4.3979 -8.8853 -5.7112 -0.5667 Columns 7929 through 7932 -7.7438 -5.6645 -5.4384 -8.9015 Columns 7933 through 7936 -4.8548 -5.3309 -13.5170 1.0070 Columns 7937 through 7940 -1.6510 -2.1709 -3.2882 -7.0824 Columns 7941 through 7944 -9.7920 -7.4857 -4.4108 0.0421 Columns 7945 through 7948 -9.1688 -0.0941 -9.3277 -3.4586 Columns 7949 through 7952 -6.2298 -12.1728 1.9046 -9.8155 Columns 7953 through 7956 -8.2370 -7.4260 -7.1872 -5.3268 Columns 7957 through 7960 -4.9587 0.6157 -1.5040 -2.9540 Columns 7961 through 7964 -8.0789 -2.6029 -6.6289 -6.9130 Columns 7965 through 7968 -4.2738 -9.7800 -13.6056 -7.3077 Columns 7969 through 7972 -8.6669 -3.3015 -6.8303 -1.4476 Columns 7973 through 7976 -7.6595 -4.0195 -4.4493 -4.7600 Columns 7977 through 7980 -9.0651 -5.8098 -6.4003 -7.8252 Columns 7981 through 7984 -6.9651 -7.5283 -6.9812 -8.7244 Columns 7985 through 7988 -9.8581 -8.0412 -6.9143 -2.8364 Columns 7989 through 7992 -7.8596 -1.0748 -10.3050 0.0086 Columns 7993 through 7996 -5.4376 -12.8514 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-3.6097 -8.8327 Columns 8065 through 8068 -11.4854 -4.4930 -6.8031 -10.1209 Columns 8069 through 8072 -5.0821 -4.6097 -4.4081 -7.9292 Columns 8073 through 8076 -7.1192 -7.3664 -5.4799 -4.3857 Columns 8077 through 8080 -0.8051 -7.9452 -7.9880 -6.5583 Columns 8081 through 8084 -2.3278 -7.2601 -3.0643 -8.3263 Columns 8085 through 8088 -8.7069 -0.2664 -3.2793 -4.2044 Columns 8089 through 8092 -5.9790 -7.8967 -2.2836 -2.4227 Columns 8093 through 8096 -11.5717 -9.6424 -7.1646 -1.3067 Columns 8097 through 8100 -4.7632 -1.8648 -7.8252 -4.4913 Columns 8101 through 8104 -7.9654 -11.9297 -5.0267 -5.8765 Columns 8105 through 8108 -8.4087 -7.7390 -8.4648 -4.3542 Columns 8109 through 8112 -9.2913 -4.1284 -6.9221 -6.7469 Columns 8113 through 8116 -8.7726 -8.6462 -8.1280 -8.9083 Columns 8117 through 8120 -8.2339 -8.0303 -10.8058 -11.5194 Columns 8121 through 8124 -15.8945 -4.2744 -9.0824 -5.3011 Columns 8125 through 8128 -7.2466 -3.3505 -4.8002 -1.3211 Columns 8129 through 8132 -5.2468 -4.2956 -7.1977 -8.8925 Columns 8133 through 8136 -11.4525 -10.3363 -0.4320 -10.1054 Columns 8137 through 8140 -4.3808 -5.7841 -3.8198 -6.7077 Columns 8141 through 8144 -6.8656 -4.0076 -7.0016 -5.2358 Columns 8145 through 8148 -1.5195 -4.0423 -7.8808 -6.8734 Columns 8149 through 8152 -1.5203 -11.6429 -4.9936 -1.1087 Columns 8153 through 8156 -5.9640 -5.3714 -2.9449 1.2976 Columns 8157 through 8160 -2.9795 -7.7892 -5.9822 -8.1691 Columns 8161 through 8164 -5.9657 -13.7130 -9.1820 -4.2297 Columns 8165 through 8168 -4.4883 -10.2087 -4.3805 -5.3651 Columns 8169 through 8172 -2.6955 -5.3677 -8.9807 -8.8357 Columns 8173 through 8176 -9.9130 -5.2455 -3.3258 -7.3452 Columns 8177 through 8180 -7.0233 -7.7350 -12.9584 -9.9944 Columns 8181 through 8184 -7.3167 -4.9664 -8.6692 -9.8397 Columns 8185 through 8188 -9.4981 -3.4806 -5.1229 -5.5460 Columns 8189 through 8192 -3.5322 -3.2885 -7.9784 -11.4482 Columns 8193 through 8196 -10.6101 -3.1513 -4.5112 -10.4070 Columns 8197 through 8200 -7.3113 -6.2025 -5.6268 -6.1934 Columns 8201 through 8204 -8.6279 -2.5103 -7.5808 -9.0024 Columns 8205 through 8208 -12.2021 -10.0340 2.7170 -7.8886 Columns 8209 through 8212 -1.3086 -7.6467 -2.7682 -7.8795 Columns 8213 through 8216 -8.2484 -4.8788 -5.4954 -3.8042 Columns 8217 through 8220 -7.5957 -4.2342 -8.2130 -3.3923 Columns 8221 through 8224 -3.9023 -5.0614 -9.3430 -11.2179 Columns 8225 through 8228 -7.8981 -5.6073 -10.8598 -4.3769 Columns 8229 through 8232 -0.9006 -7.4875 -6.4590 -9.2541 Columns 8233 through 8236 -6.1851 -8.7888 -2.7308 -3.5648 Columns 8237 through 8240 -5.2631 -6.8923 -0.8435 -12.8242 Columns 8241 through 8244 -4.8861 -3.8763 -5.8561 -1.8178 Columns 8245 through 8248 -8.4759 -5.8079 -1.6837 -8.8319 Columns 8249 through 8252 -2.0152 -11.5875 -6.7237 -1.4836 Columns 8253 through 8256 -4.2587 -6.0164 -5.1849 -8.8664 Columns 8257 through 8260 -10.7328 -12.5990 -4.0864 -12.0757 Columns 8261 through 8264 -4.7530 -11.7269 -4.4107 -5.1300 Columns 8265 through 8268 -5.4755 -7.2060 -2.0268 -3.3314 Columns 8269 through 8272 -9.9083 -7.6476 -4.6871 -7.1990 Columns 8273 through 8276 -2.6016 -9.9821 -4.3414 -3.7090 Columns 8277 through 8280 -4.9083 -5.2181 -10.2902 -0.7382 Columns 8281 through 8284 -6.4427 -10.0039 -9.1297 -10.5717 Columns 8285 through 8288 -8.9562 -4.0674 -7.0444 -5.3975 Columns 8289 through 8292 -3.4441 -8.1099 -3.6052 -6.5876 Columns 8293 through 8296 -6.9375 -4.9557 -6.5500 -7.8309 Columns 8297 through 8300 -0.6235 -5.8468 -5.9312 -7.2777 Columns 8301 through 8304 -10.6462 -2.0421 -9.0442 -5.6409 Columns 8305 through 8308 -5.8213 -2.3702 -6.8003 -8.5879 Columns 8309 through 8312 -7.7883 -5.5662 -6.6029 -10.6535 Columns 8313 through 8316 -2.7304 -7.5146 1.9759 -6.0473 Columns 8317 through 8320 -6.8046 -5.7290 -5.3003 -4.2684 Columns 8321 through 8324 2.3068 -12.1442 -9.2010 -8.1631 Columns 8325 through 8328 -5.0260 -7.1879 -4.2215 -10.3969 Columns 8329 through 8332 -2.3479 -5.1623 -4.9569 -9.8895 Columns 8333 through 8336 -7.8829 -5.4807 -8.4207 -3.4206 Columns 8337 through 8340 -8.0092 -8.4939 -4.5225 -8.8323 Columns 8341 through 8344 -2.9334 -10.7872 -8.3169 0.4333 Columns 8345 through 8348 -8.6858 -7.4753 -5.1215 -4.8738 Columns 8349 through 8352 3.2609 -1.5736 -7.6033 -3.8991 Columns 8353 through 8356 -1.5052 -6.1558 -13.6781 -6.9710 Columns 8357 through 8360 -10.1081 -4.1509 -6.3428 -2.6827 Columns 8361 through 8364 -9.2088 -2.3524 -9.6751 -1.2155 Columns 8365 through 8368 -5.4318 -2.2270 -10.5134 -3.2695 Columns 8369 through 8372 -7.8792 -10.8657 -2.0093 -4.7009 Columns 8373 through 8376 -6.4996 -5.2784 -7.5310 -10.3058 Columns 8377 through 8380 -12.6784 -11.4275 -7.4847 -3.8745 Columns 8381 through 8384 -6.3320 -5.5753 -7.4374 -5.0112 Columns 8385 through 8388 -3.4254 -8.3565 -10.0079 -4.2809 Columns 8389 through 8392 -8.0372 -13.0023 -5.2207 -4.1087 Columns 8393 through 8396 -3.7762 -4.8277 -6.2508 -5.6098 Columns 8397 through 8400 0.1202 -5.8537 -7.1117 -1.5986 Columns 8401 through 8404 -2.3406 -0.5986 -2.9471 -4.2336 Columns 8405 through 8408 -1.6038 -6.5243 -6.9191 -8.5475 Columns 8409 through 8412 -0.5159 1.4267 -2.7832 -7.8645 Columns 8413 through 8416 -9.8047 -8.8517 -5.8188 -10.0677 Columns 8417 through 8420 -10.9046 -10.7673 -4.5776 -12.4510 Columns 8421 through 8424 -4.4444 -4.6617 -9.3392 -8.9915 Columns 8425 through 8428 -7.8306 -8.0165 -3.3216 -6.4537 Columns 8429 through 8432 -8.6928 -4.4052 -2.9006 -11.4574 Columns 8433 through 8436 -2.1928 -9.2565 -12.1501 -5.7633 Columns 8437 through 8440 -2.4237 -2.1297 -7.2432 -3.8192 Columns 8441 through 8444 -6.3922 -6.6070 -2.3619 -5.2451 Columns 8445 through 8448 -2.9589 -4.4510 -8.0390 -4.2579 Columns 8449 through 8452 -6.4880 -9.8741 -5.3535 -6.0234 Columns 8453 through 8456 -7.6577 -5.6261 -8.6800 0.0165 Columns 8457 through 8460 -11.0449 -10.8710 -2.6756 -8.4269 Columns 8461 through 8464 -8.0224 -8.0177 -3.1630 -5.6248 Columns 8465 through 8468 -4.4283 -11.8819 -11.6351 -5.3084 Columns 8469 through 8472 -11.9465 0.0094 -4.9871 -1.8684 Columns 8473 through 8476 -11.6045 -4.3172 -4.4498 -2.3788 Columns 8477 through 8480 -7.1005 -10.3264 -8.2703 -7.6641 Columns 8481 through 8484 -7.0237 -6.6741 -5.1967 0.6491 Columns 8485 through 8488 -8.6449 -8.1114 -0.4546 1.8015 Columns 8489 through 8492 -8.3175 -12.0527 -4.4321 -8.2270 Columns 8493 through 8496 -6.2444 -6.3158 -4.9804 -10.1375 Columns 8497 through 8500 -5.2501 -7.3200 -10.7112 -6.4488 Columns 8501 through 8504 -9.3077 3.0571 -5.8412 -6.3117 Columns 8505 through 8508 -6.7277 -6.3724 -2.1512 -10.3848 Columns 8509 through 8512 -8.4281 -2.7965 -4.5135 -6.6105 Columns 8513 through 8516 -1.7199 -6.3159 -2.9986 -6.0100 Columns 8517 through 8520 -0.3393 -3.3788 -3.9393 -8.7065 Columns 8521 through 8524 -7.3926 -4.7832 -5.0858 -10.5112 Columns 8525 through 8528 -5.1246 -4.8817 -11.5859 -9.6406 Columns 8529 through 8532 -1.3789 -7.7209 -9.5781 -7.1395 Columns 8533 through 8536 -2.0524 -4.6440 -13.1164 -7.7431 Columns 8537 through 8540 -11.0318 -7.9326 -12.0084 -3.8852 Columns 8541 through 8544 -2.7489 -3.3268 -2.8386 -2.0649 Columns 8545 through 8548 -8.5763 -7.6096 -10.3829 -12.2175 Columns 8549 through 8552 -8.9579 -10.1524 -5.8310 -7.1856 Columns 8553 through 8556 -4.6209 -8.9527 -4.9255 -5.3822 Columns 8557 through 8560 -11.1855 -12.1948 -13.3797 -8.0714 Columns 8561 through 8564 -5.7353 -4.3828 -9.1454 -7.3434 Columns 8565 through 8568 -13.1811 -0.3636 -8.4894 -4.8144 Columns 8569 through 8572 -11.0696 -7.5576 -2.9652 -9.8322 Columns 8573 through 8576 -4.4228 -9.7352 -3.9532 -4.4391 Columns 8577 through 8580 -6.3907 -0.3266 -11.0812 -4.3048 Columns 8581 through 8584 -0.3689 -5.0173 -3.7609 -6.5874 Columns 8585 through 8588 -3.2122 -11.6808 -9.5787 -9.4472 Columns 8589 through 8592 -9.6217 1.5686 -0.5277 -7.9595 Columns 8593 through 8596 -4.6030 -11.2295 -8.2325 -6.9244 Columns 8597 through 8600 -5.0341 -2.1929 -4.0483 -6.0626 Columns 8601 through 8604 -2.0710 -6.5820 -3.9289 0.4329 Columns 8605 through 8608 -9.6999 -6.8876 -9.0974 -10.9605 Columns 8609 through 8612 -2.8690 -7.4593 -11.3812 -9.2384 Columns 8613 through 8616 -2.8836 -3.9547 -5.6438 -11.0127 Columns 8617 through 8620 -7.6457 -9.0431 -1.7666 -8.0948 Columns 8621 through 8624 -3.3084 -0.6386 -1.7712 -4.0337 Columns 8625 through 8628 -10.0780 1.3494 -10.1792 -8.1700 Columns 8629 through 8632 -6.0517 -3.6388 -5.1353 -8.5395 Columns 8633 through 8636 -9.1454 -10.7491 -7.2056 -6.9105 Columns 8637 through 8640 -6.4441 -7.2052 -4.4082 -6.4443 Columns 8641 through 8644 -7.8552 -6.8756 -0.8151 -5.7943 Columns 8645 through 8648 -2.6438 -7.2023 -8.2178 -1.5942 Columns 8649 through 8652 -4.0649 -7.9080 -1.6492 -6.7475 Columns 8653 through 8656 -6.2099 -6.1594 -6.4906 -5.1034 Columns 8657 through 8660 -10.5246 -4.2636 -13.7693 -6.0540 Columns 8661 through 8664 -9.5539 -4.5543 -9.1939 -3.2551 Columns 8665 through 8668 -8.2219 -8.9812 -5.1387 -7.1521 Columns 8669 through 8672 -7.6646 -7.7546 -3.3209 -7.5579 Columns 8673 through 8676 -6.3577 -7.8845 -6.5584 -8.4926 Columns 8677 through 8680 -4.3689 -5.1631 -3.3206 -5.1988 Columns 8681 through 8684 -4.9661 -5.3970 -1.1067 -6.4015 Columns 8685 through 8688 -7.1374 -5.1147 -7.2666 -10.1872 Columns 8689 through 8692 -7.8825 -7.7630 -4.5157 -4.3166 Columns 8693 through 8696 -6.6585 -5.2634 -8.8175 -6.3103 Columns 8697 through 8700 -6.9661 -3.8102 -3.2680 -7.7359 Columns 8701 through 8704 -12.1036 -5.8079 -2.3036 -2.4758 Columns 8705 through 8708 -4.0167 -2.8620 -8.9448 -9.9746 Columns 8709 through 8712 -4.5479 -6.4874 -9.7498 -3.7679 Columns 8713 through 8716 -1.6353 -5.1754 -5.1141 -5.6074 Columns 8717 through 8720 -8.2373 -5.9354 -3.2951 -9.6137 Columns 8721 through 8724 -2.9841 -2.0278 -6.2729 -6.3633 Columns 8725 through 8728 -1.6649 -4.5015 -4.5943 -6.4736 Columns 8729 through 8732 -8.5809 -7.4272 -4.6794 -8.9018 Columns 8733 through 8736 -6.0972 -8.3276 -10.2405 -0.8455 Columns 8737 through 8740 -3.2503 -6.6522 -2.3721 -5.7373 Columns 8741 through 8744 -4.5068 -4.6424 -5.0446 -5.9584 Columns 8745 through 8748 -6.0347 -8.2874 -2.2736 -6.9426 Columns 8749 through 8752 -6.1321 -9.3943 -5.9010 -1.2559 Columns 8753 through 8756 -9.5181 -3.7194 -10.6318 -4.3049 Columns 8757 through 8760 -1.1363 -5.6076 -9.6528 -0.5644 Columns 8761 through 8764 -9.3205 -8.1281 -4.6146 -4.8140 Columns 8765 through 8768 -6.2427 -5.1997 -4.6167 -6.5340 Columns 8769 through 8772 -5.1598 -7.1716 -7.6449 -7.6158 Columns 8773 through 8776 -5.7503 -9.1939 -8.2089 -6.3811 Columns 8777 through 8780 -4.8691 -6.6468 -6.0078 -7.9916 Columns 8781 through 8784 -10.8111 -7.9092 -7.8734 -1.4769 Columns 8785 through 8788 -2.7608 -4.3882 -2.1332 -5.7406 Columns 8789 through 8792 -7.7990 -3.2858 -8.1452 -8.4687 Columns 8793 through 8796 -4.2848 -7.8395 -9.2955 -8.4887 Columns 8797 through 8800 -8.0154 -10.3365 -8.3471 -4.3335 Columns 8801 through 8804 0.8462 -7.8571 -4.1070 -0.3709 Columns 8805 through 8808 -6.0501 -7.2000 -5.3361 -5.3427 Columns 8809 through 8812 -8.6013 -5.6405 -7.8743 -9.4697 Columns 8813 through 8816 -5.6252 -3.1568 -4.1097 -5.9945 Columns 8817 through 8820 -3.7777 -2.5874 -6.4452 -7.0366 Columns 8821 through 8824 -3.7496 -6.0265 -0.0908 -10.0982 Columns 8825 through 8828 -10.7227 -9.3608 -5.5611 -6.1837 Columns 8829 through 8832 -6.7529 -3.0400 -6.4822 -4.3677 Columns 8833 through 8836 -0.8535 -2.3376 -7.5422 1.0197 Columns 8837 through 8840 -2.9263 -5.2675 -9.3671 -0.6150 Columns 8841 through 8844 -6.3529 -6.3600 -5.9071 -5.2852 Columns 8845 through 8848 0.9975 -1.7229 -6.2541 -0.9737 Columns 8849 through 8852 -7.1122 -9.3733 -7.4408 -7.9197 Columns 8853 through 8856 -6.3943 -6.2172 -3.3873 -8.2294 Columns 8857 through 8860 -2.8370 -6.9688 -4.3815 -0.1856 Columns 8861 through 8864 -5.5701 -4.4140 -8.1943 -5.2663 Columns 8865 through 8868 -8.4940 -6.5428 -8.2377 -5.7141 Columns 8869 through 8872 -8.7857 -3.2896 -5.1658 -10.0565 Columns 8873 through 8876 -12.1963 -10.7587 -8.9528 -6.0352 Columns 8877 through 8880 -4.7878 -9.8263 -11.6694 -7.5758 Columns 8881 through 8884 -11.4049 -6.7579 -9.6570 -4.5937 Columns 8885 through 8888 -8.0209 -5.7900 -9.0515 -0.5136 Columns 8889 through 8892 -5.7284 -6.8756 -10.1949 -4.9243 Columns 8893 through 8896 -9.4610 -9.6926 -8.2368 -8.1037 Columns 8897 through 8900 -7.9673 -0.7487 -3.9504 -1.7112 Columns 8901 through 8904 -14.4719 -6.8747 -6.4738 -7.0210 Columns 8905 through 8908 -0.7868 -7.6361 -8.5623 -4.9945 Columns 8909 through 8912 -9.9373 -0.8541 -2.8065 1.3703 Columns 8913 through 8916 -4.2472 -5.3531 -2.0832 -5.5723 Columns 8917 through 8920 -6.0615 -8.9851 -8.4482 -6.1171 Columns 8921 through 8924 -3.9068 -2.9060 -8.0712 -7.4945 Columns 8925 through 8928 -8.7958 -9.9482 -5.0753 -6.9438 Columns 8929 through 8932 -1.7752 -7.3635 -3.2362 -7.6180 Columns 8933 through 8936 -4.5719 -2.1090 -6.5870 -5.3115 Columns 8937 through 8940 -14.3269 -7.4908 -5.3678 -5.6511 Columns 8941 through 8944 -0.7436 -4.9230 -6.0052 -4.3490 Columns 8945 through 8948 -10.0878 -7.4795 -4.4297 -6.7366 Columns 8949 through 8952 -13.5698 -3.7134 -10.3273 -9.9930 Columns 8953 through 8956 -4.6540 -6.7684 -8.4646 -10.9952 Columns 8957 through 8960 -7.9679 -12.9168 -4.8782 -6.2382 Columns 8961 through 8964 -10.1289 -6.6242 3.2878 -5.2941 Columns 8965 through 8968 -4.7400 -0.9081 -4.7789 -5.9693 Columns 8969 through 8972 -5.7707 -4.9906 -2.6136 -5.0487 Columns 8973 through 8976 -2.2932 -6.3460 -3.3840 -7.6438 Columns 8977 through 8980 -3.3025 -9.7161 -7.4369 -7.6005 Columns 8981 through 8984 -0.2962 -9.2026 -9.9221 -5.1570 Columns 8985 through 8988 -9.8192 -9.3206 -4.5179 -5.1054 Columns 8989 through 8992 -1.7588 -4.7964 -1.4608 -3.4715 Columns 8993 through 8996 -0.8500 -5.5917 -12.5926 -8.0464 Columns 8997 through 9000 -6.7960 -5.3985 -7.4785 -4.3217 Columns 9001 through 9004 -5.2263 0.1551 -10.0384 -5.9764 Columns 9005 through 9008 -7.1493 -1.9939 -4.2986 -3.4486 Columns 9009 through 9012 -6.3525 -3.1132 -1.1787 -8.1895 Columns 9013 through 9016 -8.8539 -5.7774 -8.1771 -2.1075 Columns 9017 through 9020 -6.8682 -9.4899 -5.7432 -8.4848 Columns 9021 through 9024 -10.6282 -4.7451 -7.7844 -4.8041 Columns 9025 through 9028 -2.2986 -6.1449 -8.0082 -4.9521 Columns 9029 through 9032 -3.2103 -4.6764 -6.1282 -6.2218 Columns 9033 through 9036 -9.2086 -6.4229 -6.1290 -4.0939 Columns 9037 through 9040 -3.5263 -5.3213 -8.5607 -10.3806 Columns 9041 through 9044 -5.7126 -6.6768 -5.5229 -13.4485 Columns 9045 through 9048 -4.0390 -5.0177 -6.2871 -7.2552 Columns 9049 through 9052 -4.1195 -5.3037 -8.2658 -5.9629 Columns 9053 through 9056 -9.0200 -8.4613 -1.1656 -11.9082 Columns 9057 through 9060 -9.8610 2.3805 -5.6998 -4.7470 Columns 9061 through 9064 -1.7071 -12.1384 -0.4325 -2.6472 Columns 9065 through 9068 -9.3102 -6.8602 -4.6185 -8.7379 Columns 9069 through 9072 -8.0239 -7.6421 -6.4695 -8.0582 Columns 9073 through 9076 -4.1037 -5.7024 -1.6322 -8.3870 Columns 9077 through 9080 -2.9404 -4.2957 -3.9664 -6.2884 Columns 9081 through 9084 -6.2615 -10.2220 -2.2898 -6.6013 Columns 9085 through 9088 -4.7488 -3.6450 -6.7926 -5.4770 Columns 9089 through 9092 -7.3765 -2.2975 -8.8751 -1.8845 Columns 9093 through 9096 -2.7069 -1.3349 -5.0934 -1.4268 Columns 9097 through 9100 -6.1897 -6.5011 -7.3435 -4.5620 Columns 9101 through 9104 -7.3118 -6.1852 -6.8006 -6.6742 Columns 9105 through 9108 -12.7265 -6.7448 -11.4018 -4.9809 Columns 9109 through 9112 -3.6603 -8.2054 -3.8126 -4.6469 Columns 9113 through 9116 -5.9608 -0.4473 -3.5597 -6.0984 Columns 9117 through 9120 -3.7824 -3.9450 -0.6737 -10.3950 Columns 9121 through 9124 -3.6946 -5.3556 -8.8591 -11.2444 Columns 9125 through 9128 -8.8173 -6.3029 -4.7082 -3.8691 Columns 9129 through 9132 -7.0035 -6.7312 -3.8649 -3.3714 Columns 9133 through 9136 -2.1983 -12.0023 -9.8183 -5.0952 Columns 9137 through 9140 -2.6756 -8.8326 -6.9173 -7.4417 Columns 9141 through 9144 -6.2128 -7.4319 -3.6045 -10.9022 Columns 9145 through 9148 0.3918 -10.3124 -2.8100 -2.3399 Columns 9149 through 9152 -6.5267 -5.4310 -7.4194 -3.5173 Columns 9153 through 9156 -4.9865 -5.2696 -3.2812 -6.2685 Columns 9157 through 9160 -2.2005 -6.0738 -3.8067 -5.7575 Columns 9161 through 9164 -4.3713 -5.4272 -4.1380 -7.3269 Columns 9165 through 9168 -2.2106 -7.0678 -4.8372 -9.5917 Columns 9169 through 9172 -1.6341 -3.3244 -6.9482 -8.8029 Columns 9173 through 9176 -7.1945 -4.7920 -4.6432 -3.8651 Columns 9177 through 9180 -7.7438 -5.8683 -6.5301 -7.9477 Columns 9181 through 9184 -3.3539 -4.8611 -7.0741 -7.2613 Columns 9185 through 9188 -6.0890 -8.1985 -8.8270 -6.2221 Columns 9189 through 9192 -7.2468 -6.9220 -4.5854 -0.4528 Columns 9193 through 9196 -8.5796 -0.0823 -5.5745 -8.1391 Columns 9197 through 9200 -3.9462 -4.7599 -7.7125 -5.5997 Columns 9201 through 9204 -10.5334 -14.0989 -5.0382 -9.4255 Columns 9205 through 9208 -3.9926 -4.0934 -2.7801 -3.9570 Columns 9209 through 9212 -3.5605 -6.8786 1.0859 -5.1532 Columns 9213 through 9216 -4.7364 -1.8275 -9.2995 3.5865 Columns 9217 through 9220 -9.8457 -1.4875 -1.7768 -8.1113 Columns 9221 through 9224 -12.2345 -8.8899 -5.4939 -4.5303 Columns 9225 through 9228 -5.0013 -7.4888 -6.1844 -0.3397 Columns 9229 through 9232 -4.6417 -6.6670 -5.9406 -2.9737 Columns 9233 through 9236 -7.0041 -3.3540 -8.5396 -8.2482 Columns 9237 through 9240 -8.5320 -11.7436 -1.4810 -2.0810 Columns 9241 through 9244 -8.1659 -4.3326 -1.7161 -8.7043 Columns 9245 through 9248 -9.0936 -7.3103 -2.9127 -5.0949 Columns 9249 through 9252 -6.5061 -2.5169 -9.4675 -9.3160 Columns 9253 through 9256 -5.9404 -4.8210 -5.0077 -8.9855 Columns 9257 through 9260 -7.2938 -6.8046 -5.4005 -5.5187 Columns 9261 through 9264 -5.3052 -8.3592 -4.2227 -2.6805 Columns 9265 through 9268 -6.6286 -7.0889 -4.4035 -8.6151 Columns 9269 through 9272 -0.5022 -8.4906 -5.9293 -8.4774 Columns 9273 through 9276 -7.4203 -6.4932 -2.7671 -7.2969 Columns 9277 through 9280 -6.1017 -6.5090 -2.2052 -12.3580 Columns 9281 through 9284 -4.2140 -5.7540 -10.6103 -5.9086 Columns 9285 through 9288 -6.2320 -6.0861 -4.0503 -5.9526 Columns 9289 through 9292 -3.8159 -0.5639 -3.8007 -6.3822 Columns 9293 through 9296 -8.2382 -0.1757 -7.2072 -2.6828 Columns 9297 through 9300 -3.2952 -3.8624 -4.7670 -7.7983 Columns 9301 through 9304 -3.5671 -6.3635 -5.9377 -6.1025 Columns 9305 through 9308 -7.4314 -9.7665 -7.3235 -2.0860 Columns 9309 through 9312 0.3380 -6.1264 -3.9978 -4.6299 Columns 9313 through 9316 -11.2312 -5.4049 -8.8835 -11.0331 Columns 9317 through 9320 -8.2173 -0.6832 -5.7115 -9.3975 Columns 9321 through 9324 -3.7353 -4.4451 -6.9786 -4.2312 Columns 9325 through 9328 -6.8992 -10.0306 -9.9778 -6.4320 Columns 9329 through 9332 -9.0306 -7.6576 -5.8323 -5.5421 Columns 9333 through 9336 -10.9506 -5.0096 -6.2944 -3.9628 Columns 9337 through 9340 -3.2952 -10.1640 -3.9925 -5.5017 Columns 9341 through 9344 -1.8856 -5.4042 -8.3362 -12.4711 Columns 9345 through 9348 -9.2223 -9.8198 -5.5108 -10.2587 Columns 9349 through 9352 -10.4238 -5.5513 0.0274 -8.7438 Columns 9353 through 9356 -11.0481 -13.3371 -8.8007 -4.2887 Columns 9357 through 9360 -6.5474 -5.9313 -3.8557 -1.3697 Columns 9361 through 9364 -12.0957 -7.3626 -8.3100 -8.1499 Columns 9365 through 9368 -14.1388 -10.1298 -2.2016 -3.8274 Columns 9369 through 9372 -5.7118 -3.7440 -10.3403 -6.4932 Columns 9373 through 9376 -7.1782 -3.6303 -1.3154 -8.7637 Columns 9377 through 9380 -2.5676 -5.8217 -1.9550 -2.8840 Columns 9381 through 9384 -8.9495 0.0560 -10.5510 -5.3205 Columns 9385 through 9388 -0.9976 -10.7591 -7.0569 -7.2243 Columns 9389 through 9392 -5.4943 -4.1556 -6.9001 -4.6132 Columns 9393 through 9396 0.8781 -1.0843 -0.5275 -4.2699 Columns 9397 through 9400 -8.1818 -4.8266 -3.8525 -2.7307 Columns 9401 through 9404 -3.6034 -7.9013 -10.0839 -10.3038 Columns 9405 through 9408 -7.7323 -4.3976 -1.1060 -6.2992 Columns 9409 through 9412 -3.0800 -9.8741 -1.7670 -5.7566 Columns 9413 through 9416 -2.0694 -3.9854 -8.0425 -9.0790 Columns 9417 through 9420 -13.2986 -6.3630 -6.4718 -7.2497 Columns 9421 through 9424 -3.1077 -6.0385 -3.8212 -3.5937 Columns 9425 through 9428 -5.1430 -8.8009 -4.1849 -7.3466 Columns 9429 through 9432 -10.5853 -2.9200 1.7353 -8.5262 Columns 9433 through 9436 -5.9490 -2.1030 -12.7406 -12.0842 Columns 9437 through 9440 -6.7798 -2.6870 4.7127 4.1585 Columns 9441 through 9444 -2.7853 -3.9727 -7.8096 -11.6365 Columns 9445 through 9448 -6.3089 -5.4363 -5.6906 -0.7598 Columns 9449 through 9452 -5.6478 -0.9347 -3.5648 -3.4460 Columns 9453 through 9456 -10.4434 -3.4887 -3.9225 -8.2103 Columns 9457 through 9460 -4.7897 -4.5646 -4.2562 -3.7144 Columns 9461 through 9464 -2.3006 -5.7450 -4.2833 -5.9661 Columns 9465 through 9468 -2.8821 -7.8886 -2.6700 -9.8434 Columns 9469 through 9472 -3.2033 -6.4379 -5.0243 -7.0830 Columns 9473 through 9476 -6.4011 -4.9992 -3.2551 -3.1997 Columns 9477 through 9480 -4.8870 -2.0333 -4.8170 -2.1417 Columns 9481 through 9484 0.0005 -9.7282 -9.5670 -2.0495 Columns 9485 through 9488 -6.4792 -4.4910 -1.0511 -8.0196 Columns 9489 through 9492 -9.0758 -5.7140 -5.4042 -4.3466 Columns 9493 through 9496 -4.4040 -10.5076 -6.6432 -6.7610 Columns 9497 through 9500 -13.4089 -10.1586 -3.5588 -9.4805 Columns 9501 through 9504 -5.2324 -11.5625 -5.0681 -3.2123 Columns 9505 through 9508 -2.3892 -7.3765 -9.0996 -3.5200 Columns 9509 through 9512 -6.1417 -5.8182 -2.1138 -0.2248 Columns 9513 through 9516 -8.7674 -7.5474 -5.7316 -3.8774 Columns 9517 through 9520 -1.7556 -4.2048 -7.3552 -2.8302 Columns 9521 through 9524 -4.1611 -6.5124 -4.1224 -5.3621 Columns 9525 through 9528 -0.2335 -6.7932 -1.9934 -2.2485 Columns 9529 through 9532 -7.6857 -3.8487 -3.1589 -0.8224 Columns 9533 through 9536 -10.1002 -8.5494 -5.4912 -13.4826 Columns 9537 through 9540 -10.8272 -11.7184 -3.7871 -7.9930 Columns 9541 through 9544 3.4933 -3.4337 -3.4236 -6.5056 Columns 9545 through 9548 -6.9889 -3.4234 -2.2686 -1.3853 Columns 9549 through 9552 -1.6510 -2.5449 -6.0784 -6.0826 Columns 9553 through 9556 -8.7801 -6.4251 -4.7586 -10.3995 Columns 9557 through 9560 -7.2914 -7.2889 -5.7035 -7.0338 Columns 9561 through 9564 -7.0217 -10.1388 -9.6643 -10.0936 Columns 9565 through 9568 -5.0249 -4.6327 -11.9230 -9.5528 Columns 9569 through 9572 -7.1678 -4.2822 -5.3388 -3.2787 Columns 9573 through 9576 -10.2776 -8.0747 -10.2724 -5.7166 Columns 9577 through 9580 -8.5763 -3.5895 -11.3424 -5.7449 Columns 9581 through 9584 -12.8378 -8.8750 -6.2488 -4.7410 Columns 9585 through 9588 -4.9497 -11.5589 -4.5056 -3.4718 Columns 9589 through 9592 -8.5247 -2.7869 -7.7783 -8.6810 Columns 9593 through 9596 -5.4087 -3.9230 -4.5379 -5.0584 Columns 9597 through 9600 -4.1293 -6.9819 -3.8297 -4.0322 Columns 9601 through 9604 -10.9336 -7.8312 -3.0146 -7.1434 Columns 9605 through 9608 -7.9479 -6.8124 -3.0645 -9.9732 Columns 9609 through 9612 -3.5307 -3.4703 -4.3875 -8.0590 Columns 9613 through 9616 -9.5704 -3.1208 -4.7029 -5.6137 Columns 9617 through 9620 -5.4279 -4.7102 -4.8432 -2.2145 Columns 9621 through 9624 -3.9044 -5.7234 -2.9037 -0.0022 Columns 9625 through 9628 -5.2025 -2.8737 -9.4503 -2.3661 Columns 9629 through 9632 -7.7948 -7.0655 -3.8366 -7.2876 Columns 9633 through 9636 -12.8925 -12.2778 -10.3803 -4.2727 Columns 9637 through 9640 -7.5751 -7.0507 -9.4009 -0.0605 Columns 9641 through 9644 -6.7647 -8.5506 -5.1826 -10.9704 Columns 9645 through 9648 -7.6513 -5.6870 0.6082 -5.0553 Columns 9649 through 9652 -5.0088 -3.5379 -2.7124 -7.6932 Columns 9653 through 9656 -4.8714 -11.3594 -4.4992 -9.5804 Columns 9657 through 9660 -6.5124 -5.3482 -8.6740 -1.9629 Columns 9661 through 9664 -7.6302 -7.9983 -3.8554 -1.8302 Columns 9665 through 9668 -5.4389 -9.3287 -2.7054 -8.3852 Columns 9669 through 9672 -12.4047 -9.1427 -1.1246 0.5131 Columns 9673 through 9676 -5.3182 -5.7076 -11.6293 -11.6812 Columns 9677 through 9680 -3.6284 -6.7896 -8.4681 -7.6514 Columns 9681 through 9684 -7.4950 -6.3924 -9.4559 -5.3390 Columns 9685 through 9688 -5.1199 -3.3903 -7.5884 -0.9756 Columns 9689 through 9692 -7.0481 -4.3024 -7.4464 -0.6009 Columns 9693 through 9696 -7.5076 -3.0650 -7.1271 -3.0120 Columns 9697 through 9700 -2.5494 -6.5052 -7.0562 -7.7774 Columns 9701 through 9704 -6.6034 -7.3679 -11.9460 -6.8582 Columns 9705 through 9708 -5.0786 -8.3804 -8.0366 -7.9190 Columns 9709 through 9712 -6.1263 -8.5881 -9.9367 -1.1199 Columns 9713 through 9716 -7.7627 -4.2872 -9.7059 0.2499 Columns 9717 through 9720 -5.9707 -2.3162 -3.5610 -6.0263 Columns 9721 through 9724 -5.0046 -7.9671 -5.6426 -3.2936 Columns 9725 through 9728 -7.6934 -7.8020 -6.6478 -3.5953 Columns 9729 through 9732 -9.1152 -9.3237 -6.9199 -6.8375 Columns 9733 through 9736 -3.8176 -2.5930 -9.3727 -12.0229 Columns 9737 through 9740 -10.9673 -9.7893 -10.0774 -6.2768 Columns 9741 through 9744 -7.3048 -0.9244 -3.6659 -6.0824 Columns 9745 through 9748 -9.9173 -5.5035 -4.9048 -4.5941 Columns 9749 through 9752 -7.1625 -9.1675 -1.0416 -7.7379 Columns 9753 through 9756 -5.8626 -3.8069 -5.9166 -8.4272 Columns 9757 through 9760 -0.8276 -14.8118 -4.5124 -1.2381 Columns 9761 through 9764 -6.4234 -6.3577 -7.9527 1.6904 Columns 9765 through 9768 -0.8699 -6.1056 -6.8038 -8.5887 Columns 9769 through 9772 -1.1381 -11.0802 -8.7392 -7.3862 Columns 9773 through 9776 -9.4456 -9.8604 -3.7629 -6.2209 Columns 9777 through 9780 -7.5379 -6.8115 -6.3383 -9.0006 Columns 9781 through 9784 -6.6681 -8.7205 -3.4426 -4.4529 Columns 9785 through 9788 -7.0979 -4.9528 -8.6934 -7.9310 Columns 9789 through 9792 -7.9643 -5.3453 -5.8310 -12.4130 Columns 9793 through 9796 -9.0999 -7.5432 -6.6807 -7.6237 Columns 9797 through 9800 -3.9306 -1.9021 -2.8151 -4.7764 Columns 9801 through 9804 -2.5767 -2.2602 -4.2455 0.3106 Columns 9805 through 9808 -6.7996 -4.8995 -7.4392 -8.0103 Columns 9809 through 9812 -9.0986 -8.4080 -10.0589 -6.9526 Columns 9813 through 9816 -8.2365 -1.0763 -4.3305 -12.1167 Columns 9817 through 9820 -2.3043 -7.6892 -10.9898 -4.3203 Columns 9821 through 9824 -2.1258 -5.0776 -4.7227 -8.5245 Columns 9825 through 9828 -6.4727 -6.3109 -6.7306 -3.6814 Columns 9829 through 9832 -8.4444 -7.0192 -7.4152 -4.6876 Columns 9833 through 9836 -2.0184 -0.3825 0.6142 -9.1767 Columns 9837 through 9840 -8.3120 0.1415 -4.8130 -7.7481 Columns 9841 through 9844 -1.5691 -10.9133 -7.4672 -8.9653 Columns 9845 through 9848 -2.4616 0.1880 -3.6540 -1.2658 Columns 9849 through 9852 -1.0558 -3.7971 -7.6080 -3.1290 Columns 9853 through 9856 -4.9563 -9.5417 -7.7662 -1.2697 Columns 9857 through 9860 -9.6446 -4.9761 -8.4076 -4.2291 Columns 9861 through 9864 -9.1124 -9.9738 -5.2988 -8.8021 Columns 9865 through 9868 -1.8598 -4.3520 -7.0790 -7.0959 Columns 9869 through 9872 -12.3190 -6.0332 0.9059 -5.0268 Columns 9873 through 9876 -9.2393 -4.9415 -3.6955 -10.1832 Columns 9877 through 9880 -4.3342 -1.4838 -5.2785 -6.9504 Columns 9881 through 9884 -9.2075 -5.7782 -9.1968 -7.0501 Columns 9885 through 9888 -7.3171 -6.1496 -4.5279 -7.3322 Columns 9889 through 9892 -5.7798 -11.4195 -2.8303 -9.1350 Columns 9893 through 9896 -6.8877 -5.4628 -3.1701 -8.5331 Columns 9897 through 9900 -5.9152 -7.8587 -9.4375 -6.1149 Columns 9901 through 9904 -6.5394 -6.1288 -9.2587 -7.6269 Columns 9905 through 9908 -4.9465 -3.8037 -6.8552 0.2933 Columns 9909 through 9912 -9.2141 -10.2395 -0.8304 -8.9328 Columns 9913 through 9916 -6.5980 -9.1353 -9.7108 -8.4459 Columns 9917 through 9920 -6.5151 -7.4159 -3.2576 -7.3234 Columns 9921 through 9924 -1.9867 -8.6006 -10.9317 -5.0675 Columns 9925 through 9928 -1.8249 -6.7361 -2.0934 -6.7699 Columns 9929 through 9932 -8.0008 -9.9162 -2.6141 -10.0977 Columns 9933 through 9936 -7.0316 -8.4644 -8.4451 -6.8971 Columns 9937 through 9940 -5.5468 -5.2536 -8.6704 -4.9223 Columns 9941 through 9944 -4.3715 -6.4435 -6.7186 -9.8239 Columns 9945 through 9948 -5.0186 -0.7944 -3.6310 -6.3637 Columns 9949 through 9952 -4.1770 -5.4147 -4.1884 -5.6102 Columns 9953 through 9956 -5.9698 -0.9725 -5.6105 -3.9811 Columns 9957 through 9960 -3.5397 -1.8038 -6.4922 -4.0126 Columns 9961 through 9964 -5.7926 -7.5272 -6.3233 -4.0889 Columns 9965 through 9968 -8.3627 -0.9932 -0.0429 -8.3054 Columns 9969 through 9972 -7.0970 -4.5402 -4.7260 -1.6203 Columns 9973 through 9976 -6.2258 -0.9586 -8.6405 -5.7459 Columns 9977 through 9980 -4.9770 -9.0576 -5.8128 -6.8386 Columns 9981 through 9984 -3.2877 -4.2744 -0.1379 -2.8501 Columns 9985 through 9988 -5.6746 -12.0665 -6.4145 -8.4306 Columns 9989 through 9992 1.5577 -5.7557 -4.8122 -4.7491 Columns 9993 through 9996 -6.3558 -11.7839 0.6138 -4.8644 Columns 9997 through 10000 -8.5119 -6.7188 -0.9599 -5.5092 >> hist(w) >> I = eye(3) I = 1 0 0 0 1 0 0 0 1 >> I I = 1 0 0 0 1 0 0 0 1 >> help help help Display help text in Command Window. help, by itself, lists all primary help topics. Each primary topic corresponds to a folder name on the MATLAB search path. help NAME displays the help for the functionality specified by NAME, such as a function, operator symbol, method, class, or toolbox. NAME can include a partial path. Some classes require that you specify the package name. Events, properties, and some methods require that you specify the class name. Separate the components of the name with periods, using one of the following forms: help CLASSNAME.NAME help PACKAGENAME.CLASSNAME help PACKAGENAME.CLASSNAME.NAME If NAME is the name of both a folder and a function, help displays help for both the folder and the function. The help for a folder is usually a list of the program files in that folder. If NAME appears in multiple folders on the MATLAB path, help displays information about the first instance of NAME found on the path. NOTE: In the help, some function names are capitalized to make them stand out. In practice, type function names in lowercase. For functions that are shown with mixed case (such as javaObject), type the mixed case as shown. EXAMPLES: help close % help for the CLOSE function help database/close % help for CLOSE in the Database Toolbox help database % list of functions in the Database Toolbox % and help for the DATABASE function help containers.Map.isKey % help for isKey method See also doc, docsearch, lookfor, matlabpath, which. Reference page for help Other functions named help >> help docsearch docsearch Help browser search. docsearch opens the Help browser and displays the documentation home page. If the Help browser is already open, but not visible, then docsearch brings it to the foreground. docsearch TEXT searches the documentation for pages with words that match the specified expression. To search third-party or custom documentation, you must first run the BUILDDOCSEARCHDB command to build a search database for the additional help files. Examples: docsearch plot docsearch plot tools docsearch('plot tools') See also doc. Reference page for docsearch >> A A = 1 2 3 4 5 6 >> size(A) ans = 3 2 >> sz = size(A) sz = 3 2 >> size(sz) ans = 1 2 >> size(A, 1) ans = 3 >> v = [1 2 3 4] v = 1 2 3 4 >> length(v) ans = 4 >> length(v) ans = 4 >> pwd ans = D:\Software\Matlab\bin >> cd D:\Software\Matlab\bin >> cd C:\User\ Error using cd Cannot CD to C:\User\ (Name is nonexistent or not a directory). >> load Error using load Unable to read file 'matlab.mat'. No such file or directory. >> who Your variables are: A I ans sz w C a c v >> cd C:\Users\BruceDu\Desktop\ >> load("test.dat") load("test.dat") ↑ Error: The input character is not valid in MATLAB statements or expressions. >> load('test.dat') >> who Your variables are: A I ans sz v C a c test w >> test test = 134 33 32 44 43 5 22 6 67 8 >> size(test) ans = 5 2 >> who Your variables are: A I ans sz v C a c test w >> whos Name Size Bytes Class Attributes A 3x2 48 double C 2x3 48 double I 3x3 72 double a 1x1 8 double ans 1x2 16 double c 1x1 1 logical sz 1x2 16 double test 5x2 80 double v 1x4 32 double w 1x10000 80000 double >> clear test >> whos Name Size Bytes Class Attributes A 3x2 48 double C 2x3 48 double I 3x3 72 double a 1x1 8 double ans 1x2 16 double c 1x1 1 logical sz 1x2 16 double v 1x4 32 double w 1x10000 80000 double >> load('test.dat') >> whos Name Size Bytes Class Attributes A 3x2 48 double C 2x3 48 double I 3x3 72 double a 1x1 8 double ans 1x2 16 double c 1x1 1 logical sz 1x2 16 double test 5x2 80 double v 1x4 32 double w 1x10000 80000 double >> top_test = test(1:2) top_test = 134 32 >> test test = 134 33 32 44 43 5 22 6 67 8 >> save hello.mat top_test >> save hello.txt top_test >> A(3,2) ans = 6 >> A A = 1 2 3 4 5 6 >> A(2,:) ans = 3 4 >> A(:, 2) ans = 2 4 6 >> A([1,3], :) ans = 1 2 5 6 >> A(:, 2) = [10; 12, 14] Dimensions of matrices being concatenated are not consistent. >> A(:, 2) = [10, 12, 14] A = 1 10 3 12 5 14 >> A = [A, [100, 120, 140]] Error using horzcat Dimensions of matrices being concatenated are not consistent. >> A = [A, [100; 120; 140]] A = 1 10 100 3 12 120 5 14 140 >> A(:) ans = 1 3 5 10 12 14 100 120 140 >> A = [1 2; 3 4; 5 6] A = 1 2 3 4 5 6 >> B = [11 12; 13 14; 15 16] B = 11 12 13 14 15 16 >> C = [A B] C = 1 2 11 12 3 4 13 14 5 6 15 16 >> C = [A; B] C = 1 2 3 4 5 6 11 12 13 14 15 16 >> size(C) ans = 6 2 >> C = [A, B] C = 1 2 11 12 3 4 13 14 5 6 15 16 >> A A = 1 2 3 4 5 6 >> B = [11 12; 13 14; 15 16] B = 11 12 13 14 15 16 >> C = [ 1 1; 2 2] C = 1 1 2 2 >> A .* B ans = 11 24 39 56 75 96 >> A .^ 2 ans = 1 4 9 16 25 36 >> v = [1; 2; 3] v = 1 2 3 >> 1 ./ v ans = 1.0000 0.5000 0.3333 >> log(v) ans = 0 0.6931 1.0986 >> exp(v) ans = 2.7183 7.3891 20.0855 >> abs(v) ans = 1 2 3 >> abs([-1; 2; -3]) ans = 1 2 3 >> v + ones(length(v), 1) ans = 2 3 4 >> A' ans = 1 3 5 2 4 6 >> A A = 1 2 3 4 5 6 >> (A')' ans = 1 2 3 4 5 6 >> val = max(a) val = 3.1416 >> a a = 3.1416 >> a < 3 ans = 0 >> A < 2 ans = 1 0 0 0 0 0 >> find(A < 2) ans = 1 >> A = magic(3) A = 8 1 6 3 5 7 4 9 2 >> help magic magic Magic square. magic(N) is an N-by-N matrix constructed from the integers 1 through N^2 with equal row, column, and diagonal sums. Produces valid magic squares for all N > 0 except N = 2. Reference page for magic >> help find find Find indices of nonzero elements. I = find(X) returns the linear indices corresponding to the nonzero entries of the array X. X may be a logical expression. Use IND2SUB(SIZE(X),I) to calculate multiple subscripts from the linear indices I. I = find(X,K) returns at most the first K indices corresponding to the nonzero entries of the array X. K must be a positive integer, but can be of any numeric type. I = find(X,K,'first') is the same as I = find(X,K). I = find(X,K,'last') returns at most the last K indices corresponding to the nonzero entries of the array X. [I,J] = find(X,...) returns the row and column indices instead of linear indices into X. This syntax is especially useful when working with sparse matrices. If X is an N-dimensional array where N > 2, then J is a linear index over the N-1 trailing dimensions of X. [I,J,V] = find(X,...) also returns a vector V containing the values that correspond to the row and column indices I and J. Example: A = magic(3) find(A > 5) finds the linear indices of the 4 entries of the matrix A that are greater than 5. [rows,cols,vals] = find(speye(5)) finds the row and column indices and nonzero values of the 5-by-5 sparse identity matrix. See also sparse, ind2sub, relop, nonzeros. Reference page for find Other functions named find >> sum(a) ans = 3.1416 >> prod(a) ans = 3.1416 >> ceil(0.5) ans = 1 >> floor(0.5) ans = 0 >> rand(3) ans = 0.5437 0.2492 0.5598 0.4425 0.2851 0.4151 0.1837 0.5295 0.9057 >> max(rand(3),rand(3)) ans = 0.3051 0.2553 0.8383 0.6498 0.3582 0.5901 0.9801 0.8059 0.4685 >> max(A,[], 1) ans = 8 9 7 >> A = magic(9) A = Columns 1 through 8 47 58 69 80 1 12 23 34 57 68 79 9 11 22 33 44 67 78 8 10 21 32 43 54 77 7 18 20 31 42 53 55 6 17 19 30 41 52 63 65 16 27 29 40 51 62 64 75 26 28 39 50 61 72 74 4 36 38 49 60 71 73 3 14 37 48 59 70 81 2 13 24 Column 9 45 46 56 66 76 5 15 25 35 >> sum(A,1) ans = Columns 1 through 8 369 369 369 369 369 369 369 369 Column 9 369 >> A .*eye(9) Error: "A" was previously used as a variable, conflicting with its use here as the name of a function or command. See "How MATLAB Recognizes Command Syntax" in the MATLAB documentation for details. >> A .* eye(9) ans = Columns 1 through 8 47 0 0 0 0 0 0 0 0 68 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 20 0 0 0 0 0 0 0 0 41 0 0 0 0 0 0 0 0 62 0 0 0 0 0 0 0 0 74 0 0 0 0 0 0 0 0 14 0 0 0 0 0 0 0 0 Column 9 0 0 0 0 0 0 0 0 35 >> sum(A .* eye(9)) ans = Columns 1 through 8 47 68 8 20 41 62 74 14 Column 9 35 >> sum(sum(A .* eye(9))) ans = 369 >> pinv(A) ans = Columns 1 through 4 0.0005 -0.0012 0.0017 0.0126 0.0003 0.0003 0.0128 -0.0122 -0.0011 0.0140 -0.0120 0.0003 0.0126 -0.0120 0.0003 0.0003 -0.0108 0.0003 0.0003 0.0003 0.0003 0.0005 0.0001 -0.0011 0.0003 0.0003 0.0003 0.0005 0.0003 0.0003 -0.0011 0.0017 0.0003 0.0003 0.0003 0.0003 Columns 5 through 8 -0.0121 0.0003 0.0003 0.0003 0.0003 -0.0011 0.0017 0.0003 0.0005 0.0001 0.0003 0.0003 -0.0011 0.0017 0.0005 0.0001 0.0003 0.0003 0.0003 0.0003 0.0017 0.0003 0.0003 0.0126 0.0001 0.0003 0.0126 -0.0134 0.0003 0.0128 -0.0122 0.0003 0.0127 -0.0120 -0.0011 0.0018 Column 9 0.0003 0.0003 0.0003 0.0003 0.0114 -0.0120 0.0017 0.0003 0.0001 >> t = [0: 0.01:0.98]; >> y1 = sin(2 * pi * 4 * t) y1 = Columns 1 through 4 0 0.2487 0.4818 0.6845 Columns 5 through 8 0.8443 0.9511 0.9980 0.9823 Columns 9 through 12 0.9048 0.7705 0.5878 0.3681 Columns 13 through 16 0.1253 -0.1253 -0.3681 -0.5878 Columns 17 through 20 -0.7705 -0.9048 -0.9823 -0.9980 Columns 21 through 24 -0.9511 -0.8443 -0.6845 -0.4818 Columns 25 through 28 -0.2487 -0.0000 0.2487 0.4818 Columns 29 through 32 0.6845 0.8443 0.9511 0.9980 Columns 33 through 36 0.9823 0.9048 0.7705 0.5878 Columns 37 through 40 0.3681 0.1253 -0.1253 -0.3681 Columns 41 through 44 -0.5878 -0.7705 -0.9048 -0.9823 Columns 45 through 48 -0.9980 -0.9511 -0.8443 -0.6845 Columns 49 through 52 -0.4818 -0.2487 -0.0000 0.2487 Columns 53 through 56 0.4818 0.6845 0.8443 0.9511 Columns 57 through 60 0.9980 0.9823 0.9048 0.7705 Columns 61 through 64 0.5878 0.3681 0.1253 -0.1253 Columns 65 through 68 -0.3681 -0.5878 -0.7705 -0.9048 Columns 69 through 72 -0.9823 -0.9980 -0.9511 -0.8443 Columns 73 through 76 -0.6845 -0.4818 -0.2487 -0.0000 Columns 77 through 80 0.2487 0.4818 0.6845 0.8443 Columns 81 through 84 0.9511 0.9980 0.9823 0.9048 Columns 85 through 88 0.7705 0.5878 0.3681 0.1253 Columns 89 through 92 -0.1253 -0.3681 -0.5878 -0.7705 Columns 93 through 96 -0.9048 -0.9823 -0.9980 -0.9511 Columns 97 through 99 -0.8443 -0.6845 -0.4818 >> plot(t,y1) >> y2 = cos(2 * pi * 4 * t) y2 = Columns 1 through 4 1.0000 0.9686 0.8763 0.7290 Columns 5 through 8 0.5358 0.3090 0.0628 -0.1874 Columns 9 through 12 -0.4258 -0.6374 -0.8090 -0.9298 Columns 13 through 16 -0.9921 -0.9921 -0.9298 -0.8090 Columns 17 through 20 -0.6374 -0.4258 -0.1874 0.0628 Columns 21 through 24 0.3090 0.5358 0.7290 0.8763 Columns 25 through 28 0.9686 1.0000 0.9686 0.8763 Columns 29 through 32 0.7290 0.5358 0.3090 0.0628 Columns 33 through 36 -0.1874 -0.4258 -0.6374 -0.8090 Columns 37 through 40 -0.9298 -0.9921 -0.9921 -0.9298 Columns 41 through 44 -0.8090 -0.6374 -0.4258 -0.1874 Columns 45 through 48 0.0628 0.3090 0.5358 0.7290 Columns 49 through 52 0.8763 0.9686 1.0000 0.9686 Columns 53 through 56 0.8763 0.7290 0.5358 0.3090 Columns 57 through 60 0.0628 -0.1874 -0.4258 -0.6374 Columns 61 through 64 -0.8090 -0.9298 -0.9921 -0.9921 Columns 65 through 68 -0.9298 -0.8090 -0.6374 -0.4258 Columns 69 through 72 -0.1874 0.0628 0.3090 0.5358 Columns 73 through 76 0.7290 0.8763 0.9686 1.0000 Columns 77 through 80 0.9686 0.8763 0.7290 0.5358 Columns 81 through 84 0.3090 0.0628 -0.1874 -0.4258 Columns 85 through 88 -0.6374 -0.8090 -0.9298 -0.9921 Columns 89 through 92 -0.9921 -0.9298 -0.8090 -0.6374 Columns 93 through 96 -0.4258 -0.1874 0.0628 0.3090 Columns 97 through 99 0.5358 0.7290 0.8763 >> plot(t, y2) >> plot(t,y1) >> hold on; >> plot(t, y2) >> xlabel('time') >> ylabel('value') >> legend('sin', 'cos') >> title('my plot') >> pwd ans = C:\Users\BruceDu\Desktop >> print -dpng 'myplot.png' >> figure(1); plot(t, y1); >> close >> figure(1); plot(t, y1); >> figure(2); plot(t, y2); >> subplot(1, 2, 1); >> plot(t, y1) >> subplot(1,2,2) >> plot(t, y2) >> axis([0.5, 1 -1, 1]) >> A = magic(5) A = 17 24 1 8 15 23 5 7 14 16 4 6 13 20 22 10 12 19 21 3 11 18 25 2 9 >> imagesc(A) >> clf >> imagsc(A) Undefined function or variable 'imagsc'. Did you mean: >> imagesc(A) >> imagesc(A), colorbar, colorbar gray Error using colorbar (line 171) Unrecognized input or invalid parameter/value pair arguments. >> imagesc(A), colorbar, colormap gray >> for i = 1:10, >> indices = 1:10 indices = Columns 1 through 8 1 2 3 4 5 6 7 8 Columns 9 through 10 9 10 >> for i = indices, disp(i) end; 1 2 3 4 5 6 7 8 9 10 >> i =1; >> while i <= 5; v(i) = 100; i = i + 1; end; >> v v = 100 100 100 100 100 >> while true, v(i) = 9999; i = i +1 if i == 100, break; end; end; i = 7 i = 8 i = 9 i = 10 i = 11 i = 12 i = 13 i = 14 i = 15 i = 16 i = 17 i = 18 i = 19 i = 20 i = 21 i = 22 i = 23 i = 24 i = 25 i = 26 i = 27 i = 28 i = 29 i = 30 i = 31 i = 32 i = 33 i = 34 i = 35 i = 36 i = 37 i = 38 i = 39 i = 40 i = 41 i = 42 i = 43 i = 44 i = 45 i = 46 i = 47 i = 48 i = 49 i = 50 i = 51 i = 52 i = 53 i = 54 i = 55 i = 56 i = 57 i = 58 i = 59 i = 60 i = 61 i = 62 i = 63 i = 64 i = 65 i = 66 i = 67 i = 68 i = 69 i = 70 i = 71 i = 72 i = 73 i = 74 i = 75 i = 76 i = 77 i = 78 i = 79 i = 80 i = 81 i = 82 i = 83 i = 84 i = 85 i = 86 i = 87 i = 88 i = 89 i = 90 i = 91 i = 92 i = 93 i = 94 i = 95 i = 96 i = 97 i = 98 i = 99 i = 100 >> i i = 100 >> squareThisNumber(3) Undefined function or variable 'squareThisNumber'. >> squareThisNumber(3) Undefined function or variable 'squareThisNumber'. Did you mean: >> squraThisNumber(3) y = 9 ans = 9 >> [a, b] = squareAndCubeThisNumber(3) y1 = 9 y2 = 27 a = 9 b = 27 >> X = [1 1; 1 2; 1 3] X = 1 1 1 2 1 3 >> y = [1; 2; 3] y = 1 2 3 >> theta = [0;1]; >> costFunction(X, y, theta) sqrErrors = 0 0 0 ans = 0 >> theta = [0; 0] theta = 0 0 >> costFunction(X, y, theta) sqrErrors = 1 4 9 ans = 2.3333 >>

定义的三个函数

squraThisNumber.m function [ y ] = squraThisNumber( x ) %UNTITLED Summary of this function goes here % Detailed explanation goes here y = x ^ 2 end squareAndCubeThisNumber.m function [ y1, y2 ] = squareAndCubeThisNumber( x ) %UNTITLED2 Summary of this function goes here % Detailed explanation goes here y1 = x ^ 2 y2 = x ^ 3 end costFunction.m function [ J ] = costFunction( X, y, theta ) %UNTITLED3 Summary of this function goes here % Detailed explanation goes here m = size(X, 1); predictions = X * theta; sqrErrors = (predictions - y) .^ 2 J = 1/(2 * m) * sum(sqrErrors); end

转载于:https://www.cnblogs.com/DataNerd/p/7838498.html

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