ответвлено от main/it-labs
875 строки
11 KiB
Markdown
875 строки
11 KiB
Markdown
\# Отчет по теме 1
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Ершова Вероника, А-03-24
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\## 1 Изучение среды GNU Octave
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\## 2 Настройка текущего каталога
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Нажал на окно рядом с \*Текущая папка:\* и установил путь к папке ТЕМА1:
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!\[Скриншот выбора текущей папки](ТЕМА1/images/ch\_file.png)
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\## 3 Изучение интерфейса
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!\[Скриншот интерфейса](ТЕМА1/images/image\_interface.png)
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\## 4 Установка пути к папкам ТЕМА1 и ТЕМА2
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!\[Скриншот установки](ТЕМА1/images/put\_file.png)
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\## 5 Изучение работы с системой помощи
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!\[Скриншот справки](ТЕМА1/images/documentation.png)
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\## 6 Создание матриц и векторов
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```matlab
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>> A=randn(4,6)
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A =
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-0.3123 0.2623 -0.5659 0.8583 -0.5970 0.9411
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-0.3970 0.8236 0.6951 0.6303 -0.7044 -1.7374
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-1.0984 0.5386 -0.2843 -0.3507 -0.5547 -1.9063
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0.1025 1.1803 -0.4632 0.4787 0.9092 -0.6363
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```
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>> B=rand(4,7)
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B =
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0.644835 0.573813 0.875185 0.901622 0.128847 0.962663 0.245441
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0.822337 0.515764 0.478145 0.540383 0.080948 0.520514 0.075695
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0.893529 0.350316 0.940080 0.651110 0.694296 0.249719 0.568012
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0.404731 0.782888 0.760890 0.166651 0.586766 0.664987 0.086867
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>> C = 4:27
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C =
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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 27
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>> H='This is a symbols vector
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>>> H='This is a symbols vector
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^
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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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\## 7 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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-1.467808 1.805345 -0.234815 0.952120 -1.091901 -2.782730
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-0.688507 1.687984 -0.428432 1.069487 -0.188416 -1.522026
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-1.417751 2.027711 -0.782629 1.087059 -0.688963 -2.283294
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-1.194195 1.228917 -0.396936 0.965854 -1.128588 -1.437582
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-0.774871 1.166932 -0.485822 0.198993 0.014438 -1.716256
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-0.713412 1.600553 -0.561983 1.385063 -0.475313 -0.897539
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-0.721710 0.535160 -0.288015 0.100733 -0.435934 -1.038587
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>> F=\[A,B]
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F =
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Columns 1 through 12:
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-0.312294 0.262288 -0.565932 0.858280 -0.597024 0.941114 0.644835 0.573813 0.875185 0.901622 0.128847 0.962663
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-0.396963 0.823623 0.695119 0.630284 -0.704447 -1.737432 0.822337 0.515764 0.478145 0.540383 0.080948 0.520514
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-1.098415 0.538569 -0.284317 -0.350730 -0.554662 -1.906275 0.893529 0.350316 0.940080 0.651110 0.694296 0.249719
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0.102471 1.180265 -0.463169 0.478719 0.909196 -0.636291 0.404731 0.782888 0.760890 0.166651 0.586766 0.664987
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Column 13:
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0.245441
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0.075695
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0.568012
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0.086867
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>> G=A.\*D
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G =
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-1.2492 2.0983 -6.7912 13.7325 -11.9405 22.5867
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-1.9848 7.4126 9.0365 10.7148 -14.7934 -43.4358
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-6.5905 5.3857 -3.9804 -6.3131 -12.2026 -49.5632
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0.7173 12.9829 -6.9475 9.0957 20.9115 -17.1799
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>> M=G./4.5
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M =
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-0.2776 0.4663 -1.5092 3.0517 -2.6534 5.0193
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-0.4411 1.6472 2.0081 2.3811 -3.2874 -9.6524
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-1.4646 1.1968 -0.8845 -1.4029 -2.7117 -11.0140
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0.1594 2.8851 -1.5439 2.0213 4.6470 -3.8177
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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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\## 8 Изучение стандартных математических функций и операций с матрицами
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>> B1=sqrt(B)
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B1 =
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0.8030 0.7575 0.9355 0.9495 0.3590 0.9812 0.4954
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0.9068 0.7182 0.6915 0.7351 0.2845 0.7215 0.2751
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0.9453 0.5919 0.9696 0.8069 0.8332 0.4997 0.7537
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0.6362 0.8848 0.8723 0.4082 0.7660 0.8155 0.2947
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>> B2=log(B)
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B2 =
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-0.438761 -0.555453 -0.133320 -0.103559 -2.049133 -0.038052 -1.404697
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-0.195605 -0.662106 -0.737842 -0.615477 -2.513947 -0.652939 -2.581039
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-0.112577 -1.048919 -0.061790 -0.429077 -0.364857 -1.387420 -0.565612
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-0.904533 -0.244765 -0.273267 -1.791851 -0.533128 -0.407988 -2.443381
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>> B3=sin(B)
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B3 =
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0.601067 0.542838 0.767662 0.784334 0.128490 0.820716 0.242985
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0.732738 0.493200 0.460133 0.514464 0.080860 0.497326 0.075623
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0.779288 0.343195 0.807605 0.606069 0.639845 0.247131 0.537958
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0.393772 0.705330 0.689566 0.165881 0.553671 0.617049 0.086757
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>> B1=sqrt(B)
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B1 =
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0.8030 0.7575 0.9355 0.9495 0.3590 0.9812 0.4954
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0.9068 0.7182 0.6915 0.7351 0.2845 0.7215 0.2751
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0.9453 0.5919 0.9696 0.8069 0.8332 0.4997 0.7537
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0.6362 0.8848 0.8723 0.4082 0.7660 0.8155 0.2947
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>> B2=log(B)
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B2 =
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-0.438761 -0.555453 -0.133320 -0.103559 -2.049133 -0.038052 -1.404697
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-0.195605 -0.662106 -0.737842 -0.615477 -2.513947 -0.652939 -2.581039
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-0.112577 -1.048919 -0.061790 -0.429077 -0.364857 -1.387420 -0.565612
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-0.904533 -0.244765 -0.273267 -1.791851 -0.533128 -0.407988 -2.443381
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>> B3=sin(B)
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B3 =
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0.601067 0.542838 0.767662 0.784334 0.128490 0.820716 0.242985
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0.732738 0.493200 0.460133 0.514464 0.080860 0.497326 0.075623
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0.779288 0.343195 0.807605 0.606069 0.639845 0.247131 0.537958
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0.393772 0.705330 0.689566 0.165881 0.553671 0.617049 0.086757
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>> NN=linspace(11.5,34.1,20)
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NN =
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Columns 1 through 15:
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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 26.963 28.153
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Columns 16 through 20:
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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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0.8030
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0.7182
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0.9696
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0.4082
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>> DB=diag(B1D)
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DB =
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Diagonal Matrix
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0.8030 0 0 0
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0 0.7182 0 0
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0 0 0.9696 0
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0 0 0 0.4082
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>> BS1=sort(B)
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BS1 =
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0.404731 0.350316 0.478145 0.166651 0.080948 0.249719 0.075695
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0.644835 0.515764 0.760890 0.540383 0.128847 0.520514 0.086867
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0.822337 0.573813 0.875185 0.651110 0.586766 0.664987 0.245441
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0.893529 0.782888 0.940080 0.901622 0.694296 0.962663 0.568012
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>> BS2=sortrows(B,2)
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BS2 =
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0.893529 0.350316 0.940080 0.651110 0.694296 0.249719 0.568012
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0.822337 0.515764 0.478145 0.540383 0.080948 0.520514 0.075695
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0.644835 0.573813 0.875185 0.901622 0.128847 0.962663 0.245441
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0.404731 0.782888 0.760890 0.166651 0.586766 0.664987 0.086867
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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 = 73.956
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>> dinv=inv(A\*A')
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dinv =
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4.4666e-01 -1.9520e-02 1.0379e-01 -3.8572e-03
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-1.9520e-02 4.8342e-01 -3.4279e-01 -8.4195e-02
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1.0379e-01 -3.4279e-01 4.5435e-01 -1.6761e-02
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-3.8572e-03 -8.4195e-02 -1.6761e-02 3.6871e-01
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\## 9 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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\## 10 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;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
|
|
|
|
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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|
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|
D(3,5)>=20
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\## 11 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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!\[Обычный график](ТЕМА1/images/image\_plot.png)
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|
|
|
>> hist(A(:),6)
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|
|
|
!\[Гистограмма](ТЕМА1/images/image\_hist.png)
|
|
|
|
>> pie(C)
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|
|
|
!\[Круговая диаграмма](ТЕМА1/images/pie\_image.png)
|
|
|
|
>> bar(C)
|
|
|
|
!\[График bar](ТЕМА1/images/image\_bar.png)
|
|
|
|
|
|
|
|
|
|
|
|
\## 12 Изучение текстового редактора и добавление программы
|
|
|
|
>> Prog1
|
|
|
|
|
|
|
|
D1 = 22
|
|
|
|
D2 =
|
|
|
|
|
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|
18 22 26
|
|
|
|
|
|
|
|
D3 =
|
|
|
|
|
|
|
|
13 17 21
|
|
|
|
14 18 22
|
|
|
|
|
|
|
|
D4 =
|
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|
|
|
|
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|
19 20 21 22 23
|
|
|
|
|
|
|
|
D5 =
|
|
|
|
|
|
|
|
6 14 26
|
|
|
|
7 15 27
|
|
|
|
|
|
|
|
>> Prog1
|
|
|
|
D1 = 22
|
|
|
|
D2 =
|
|
|
|
|
|
|
|
18 22 26
|
|
|
|
|
|
|
|
D3 =
|
|
|
|
|
|
|
|
13 17 21
|
|
|
|
14 18 22
|
|
|
|
|
|
|
|
D4 =
|
|
|
|
|
|
|
|
19 20 21 22 23
|
|
|
|
|
|
|
|
D5 =
|
|
|
|
|
|
|
|
6 14 26
|
|
|
|
7 15 27
|
|
|
|
|
|
|
|
>>
|
|
|
|
|
|
|
|
\## 13 Сохранение и загрузка области переменных
|
|
|
|
|
|
|
|
!\[Загрузка области данных](images/perem\_function.png)
|
|
|