ответвлено от main/it-labs
otchet
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# Отчет по лабораторной работе
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## 1. Создание переменных
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Исходные данные:
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```matlab
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>> A=randn(4,6)
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A =
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6.3711e-01 7.8432e-01 1.8025e-01 3.5787e-01 6.8852e-01 5.1192e-01
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3.1581e-02 1.6664e-01 7.5393e-01 8.1534e-01 4.7666e-01 7.6663e-01
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9.6584e-01 1.1820e-02 9.7399e-04 3.8644e-01 5.9332e-01 5.3177e-01
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2.7445e-01 3.2268e-01 9.2290e-01 2.3156e-01 7.1104e-01 9.2437e-01
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>> B=rand(4,7)
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B =
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0.079781 0.055839 0.746626 0.948944 0.065842 0.750814 0.852608
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0.455608 0.987677 0.460268 0.265391 0.114100 0.444009 0.580352
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0.410006 0.762842 0.306572 0.292280 0.359641 0.948953 0.884154
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0.868862 0.463408 0.703305 0.750799 0.551636 0.202557 0.828586
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>> C = 4:27
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>> C =
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Columns 1 through 23:
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4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26
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>> H='This is a symbols vector'
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>>H = This is a symbols vector
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>> warning('off','all')
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>> L=[-2+23.1j, 3-5.6j]
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>> L =
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-2.0000 + 23.1000i 3.0000 - 5.6000i
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#2. Преобразования матриц
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>> D=reshape(C,[],6)
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>> D =
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4 8 12 16 20 24
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5 9 13 17 21 25
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6 10 14 18 22 26
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7 11 15 19 23 27
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>> E=B'\*A
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>> E =
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0.6997 0.4237 1.1601 0.7597 1.1332 1.4113
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0.9307 0.3669 1.1831 1.2274 1.2913 1.6198
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0.9793 0.8929 1.1310 0.9238 1.4154 1.5482
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1.1013 1.0342 1.0643 0.8428 1.4871 1.5387
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0.5443 0.2529 0.6073 0.3833 0.7053 0.8223
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1.4645 0.7394 0.6580 1.0443 1.4357 1.4166
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1.6429 1.0432 1.3568 1.3118 1.9774 2.1175
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>> F=[A,B]
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>> F =
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Columns 1 through 9:
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6.3711e-01 7.8432e-01 1.8025e-01 3.5787e-01 6.8852e-01 5.1192e-01 7.9781e-02 5.5839e-02 7.4663e-01
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3.1581e-02 1.6664e-01 7.5393e-01 8.1534e-01 4.7666e-01 7.6663e-01 4.5561e-01 9.8768e-01 4.6027e-01
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9.6584e-01 1.1820e-02 9.7399e-04 3.8644e-01 5.9332e-01 5.3177e-01 4.1001e-01 7.6284e-01 3.0657e-01
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2.7445e-01 3.2268e-01 9.2290e-01 2.3156e-01 7.1104e-01 9.2437e-01 8.6886e-01 4.6341e-01 7.0330e-01
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Columns 10 through 13:
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9.4894e-01 6.5842e-02 7.5081e-01 8.5261e-01
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2.6539e-01 1.1410e-01 4.4401e-01 5.8035e-01
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2.9228e-01 3.5964e-01 9.4895e-01 8.8415e-01
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7.5080e-01 5.5164e-01 2.0256e-01 8.2859e-01
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>> G=A.\*D
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>> G =
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2.5484e+00 6.2745e+00 2.1630e+00 5.7259e+00 1.3770e+01 1.2286e+01
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1.5791e-01 1.4997e+00 9.8011e+00 1.3861e+01 1.0010e+01 1.9166e+01
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5.7950e+00 1.1820e-01 1.3636e-02 6.9558e+00 1.3053e+01 1.3826e+01
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1.9212e+00 3.5495e+00 1.3843e+01 4.3996e+00 1.6354e+01 2.4958e+01
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>> M=G./4.5
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>> M =
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5.6632e-01 1.3943e+00 4.8068e-01 1.2724e+00 3.0601e+00 2.7302e+00
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3.5090e-02 3.3327e-01 2.1780e+00 3.0802e+00 2.2244e+00 4.2591e+00
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1.2878e+00 2.6267e-02 3.0302e-03 1.5457e+00 2.9007e+00 3.0725e+00
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4.2692e-01 7.8878e-01 3.0763e+00 9.7769e-01 3.6342e+00 5.5462e+00
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>> DDD=D.^3
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>> DDD =
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64 512 1728 4096 8000 13824
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125 729 2197 4913 9261 15625
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216 1000 2744 5832 10648 17576
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343 1331 3375 6859 12167 19683
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>> DL=D>=20
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>> DL =
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0 0 0 0 1 1
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0 0 0 0 1 1
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0 0 0 0 1 1
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0 0 0 0 1 1
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>> Dstolb=D(:)
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>> Dstolb =
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4
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5
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6
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7
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8
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9
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10
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11
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12
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13
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14
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15
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16
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17
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18
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19
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20
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21
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22
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23
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24
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25
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26
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27
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#3. Изучение стандартных математических функций и операций с матрицами
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>> B1=sqrt(B)
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>> B1 =
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0.2825 0.2363 0.8641 0.9741 0.2566 0.8665 0.9234
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0.6750 0.9938 0.6784 0.5152 0.3378 0.6663 0.7618
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0.6403 0.8734 0.5537 0.5406 0.5997 0.9741 0.9403
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0.9321 0.6807 0.8386 0.8665 0.7427 0.4501 0.9103
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>> B2=log(B)
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>> B2 =
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-2.528476 -2.885283 -0.292191 -0.052406 -2.720500 -0.286597 -0.159455
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-0.786122 -0.012399 -0.775947 -1.326552 -2.170677 -0.811909 -0.544121
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-0.891583 -0.270705 -1.182302 -1.230042 -1.022648 -0.052396 -0.123124
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-0.140571 -0.769148 -0.351965 -0.286617 -0.594866 -1.596733 -0.188035
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>> B3=sin(B)
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>> B3 =
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0.079696 0.055810 0.679166 0.812801 0.065794 0.682234 0.752999
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0.440009 0.834749 0.444188 0.262286 0.113853 0.429564 0.548318
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0.398615 0.690978 0.301792 0.288137 0.351938 0.812806 0.773379
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0.763595 0.446999 0.646742 0.682223 0.524082 0.201175 0.736976
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>> k=length(B1)
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>> k = 7
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>> nm=size(B1)
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>> nm =
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4 7
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>> elem=numel(B1)
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>> elem = 28
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>> NN=linspace(11.5,34.1,20)
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>> NN =
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Columns 1 through 13:
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11.500 12.689 13.879 15.068 16.258 17.447 18.637 19.826 21.016 22.205 23.395 24.584 25.774
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Columns 14 through 20:
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26.963 28.153 29.342 30.532 31.721 32.911 34.100
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>> FF=ones(2,4)
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>> FF =
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1 1 1 1
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1 1 1 1
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>> GG=zeros(5)
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>> GG =
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0 0 0 0 0
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0 0 0 0 0
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0 0 0 0 0
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0 0 0 0 0
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0 0 0 0 0
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>> B1D=diag(B1)
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>> B1D =
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0.2825
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0.9938
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0.5537
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0.8665
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>> DB=diag(B1D)
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>> DB =
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Diagonal Matrix
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0.2825 0 0 0
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0 0.9938 0 0
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0 0 0.5537 0
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0 0 0 0.8665
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>> BS1=sort(B)
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>> BS1 =
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0.079781 0.055839 0.306572 0.265391 0.065842 0.202557 0.580352
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0.410006 0.463408 0.460268 0.292280 0.114100 0.444009 0.828586
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0.455608 0.762842 0.703305 0.750799 0.359641 0.750814 0.852608
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0.868862 0.987677 0.746626 0.948944 0.551636 0.948953 0.884154
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>> BS2=sortrows(B,2)
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>> BS2 =
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0.079781 0.055839 0.746626 0.948944 0.065842 0.750814 0.852608
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0.868862 0.463408 0.703305 0.750799 0.551636 0.202557 0.828586
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0.410006 0.762842 0.306572 0.292280 0.359641 0.948953 0.884154
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0.455608 0.987677 0.460268 0.265391 0.114100 0.444009 0.580352
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>> DS1=sum(D)
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>> DS1 =
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22 38 54 70 86 102
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>> DS2=sum(D,2)
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>> DS2 =
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84
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90
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96
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102
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>> DP1=prod(D)
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>> DP1 =
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840 7920 32760 93024 212520 421200
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>> dt=det(A*A')
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>> dt = 0.5612
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>> dinv=inv(A*A')
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>> dinv =
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2.065633 0.179331 -1.155947 -0.930132
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0.179331 2.239819 -0.101288 -1.894903
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-1.155947 -0.101288 1.595099 0.027661
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-0.930132 -1.894903 0.027661 2.564475
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#4. Изучение индексации в матрицах
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>> D1=D(3,5)
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>> D1 = 22
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>> D2=D(3,4:end)
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>> D2 =
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18 22 26
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>> D3=D(2:3,3:5)
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>> D3 =
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13 17 21
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14 18 22
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>> D4=D(16:20)
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>> D4 =
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19 20 21 22 23
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>> D5=D(3:4,[1,3,6])
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>> D5 =
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6 14 26
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7 15 27
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#
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5. Изучение управляющих конструкций
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>> Dsum=0
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>> Dsum = 0
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>> for i=1:6
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>> Dsum=Dsum+sqrt(D(2,i))
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>> endfor
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>> Dsum = 2.2361
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>> Dsum = 5.2361
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>> Dsum = 8.8416
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>> Dsum = 12.965
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>> Dsum = 17.547
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>> Dsum = 22.547
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>> Dsum2=0;
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>> i=1
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>> i = 1
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>> while (D(i)<22)
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>> Dsum2=Dsum2+sin(D(i))
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>> i=i+1
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>> endwhile
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>> Dsum2 = -0.7568
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>> i = 2
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>> Dsum2 = -1.7157
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>> i = 3
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>> Dsum2 = -1.9951
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>> i = 4
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>> Dsum2 = -1.3382
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>> i = 5
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>> Dsum2 = -0.3488
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>> i = 6
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>> Dsum2 = 0.063321
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>> i = 7
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>> Dsum2 = -0.4807
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>> i = 8
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>> Dsum2 = -1.4807
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>> i = 9
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>> Dsum2 = -2.0173
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>> i = 10
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>> Dsum2 = -1.5971
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>> i = 11
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>> Dsum2 = -0.6065
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>> i = 12
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>> Dsum2 = 0.043799
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>> i = 13
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>> Dsum2 = -0.2441
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>> i = 14
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>> Dsum2 = -1.2055
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>> i = 15
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>> Dsum2 = -1.9565
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>> i = 16
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>> Dsum2 = -1.8066
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>> i = 17
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>> Dsum2 = -0.8937
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>> i = 18
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>> Dsum2 = -0.057011
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>> i = 19
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>> if (D(3,5)>=20)
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>> printf('D(3,5)>=20')
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>> else
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>> printf('D(3,5)<20')
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>> endif
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>> D(3,5)>=20>>
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#6. Изучение графических функций и их вывод
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graphics_toolkit('gnuplot')
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plot(D(1,:),B([2,4],1:6))
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```
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Ссылка в новой задаче
Block a user