otchet

ТЕМА1/Perem

@@ -0,0 +1,27 @@
+# Created by Octave 8.3.0, Wed Feb 11 12:05:53 2026 GMT <unknown@w10prog-41>
+# name: A
+# type: matrix
+# rows: 4
+# columns: 6
+ 0.40954792619079627 0.72637128072136448 0.58995820141105104 -1.474107206178648 0.95041756057764659 -1.6611024723583185
+ 0.44652350670142293 0.3470713083436624 -0.066815630612374888 -0.24469222155935305 -0.65133986096740448 -0.58107672353446271
+ 0.61766490233295634 -0.81970437246472871 0.53972431614212868 -0.043220832655963042 -0.47749893770959245 0.65836531085335748
+ 0.35297396263715014 -0.85235683616018731 1.0795872872180787 0.16663345453838133 -0.54677052601565734 0.22791736535715215
+
+
+# name: B
+# type: matrix
+# rows: 4
+# columns: 7
+ 0.90759944138250415 0.90951867968101785 0.77342607277472275 0.12175297978845723 0.25085170741207186 0.26115519253221064 0.35871835539447483
+ 0.84720438939362386 0.44112178084303855 0.87704105298589174 0.95845160983782018 0.90780444762622037 0.54986030457333723 0.9222404621592335
+ 0.7351369640647003 0.1443473134611708 0.34404756962609184 0.39583731596972072 0.92634874427055824 0.32162479176924952 0.9725751803412791
+ 0.11402471976563133 0.87559008538440619 0.17580731749099465 0.72856283317301851 0.6990544030919339 0.6558602726949363 0.9313614360410617
+
+
+# name: C
+# type: double_range
+# base, limit, increment
+4 27 1
+
+

ТЕМА1/Prog1.m

@@ -0,0 +1,5 @@
+D1=D(3,5)
+D2=D(3,4:end)
+D3=D(2:3,3:5)
+D4=D(16:20)
+D5=D(3:4,[1,3,6])

ТЕМА1/lab1_otchet.md

@@ -0,0 +1,926 @@
+# Отчет по теме 1
+
+
+
+Ершова Вероника, А-03-24
+
+
+
+## 1 Изучение среды GNU Octave 
+
+
+
+## 2 Настройка текущего каталога
+
+
+
+Нажал на окно рядом с *Текущая папка:* и установил путь к папке ТЕМА1:
+
+
+![Скриншот выбора текущей папки](images/ch_file.PNG)
+
+
+## 3 Изучение интерфейса
+
+![Скриншот интерфейса](images/image_interface.png)
+
+
+
+## 4 Установка пути к папкам ТЕМА1 и ТЕМА2
+
+![Скриншот установки](images/put_file.PNG)
+
+
+
+## 5 Изучение работы с системой помощи
+
+![Скриншот справки](images/documentation.png)
+
+
+
+## 6 Создание матриц и векторов
+
+```matlab
+
+>> A=randn(4,6)
+
+A =
+
+
+
+ -0.3123   0.2623  -0.5659   0.8583  -0.5970   0.9411
+
+ -0.3970   0.8236   0.6951   0.6303  -0.7044  -1.7374
+
+ -1.0984   0.5386  -0.2843  -0.3507  -0.5547  -1.9063
+
+  0.1025   1.1803  -0.4632   0.4787   0.9092  -0.6363
+
+```
+
+```matlab
+>> B=rand(4,7)
+
+B =
+
+
+
+  0.644835   0.573813   0.875185   0.901622   0.128847   0.962663   0.245441
+
+  0.822337   0.515764   0.478145   0.540383   0.080948   0.520514   0.075695
+
+  0.893529   0.350316   0.940080   0.651110   0.694296   0.249719   0.568012
+
+  0.404731   0.782888   0.760890   0.166651   0.586766   0.664987   0.086867
+
+```
+
+```matlab
+>> C = 4:27
+
+C =
+
+
+
+   4    5    6    7    8    9   10   11   12   13   14   15   16   17   18   19   20   21   22   23   24   25   26   27
+
+
+```
+
+```matlab
+>> H='This is a symbols vector
+
+
+
+>>> H='This is a symbols vector
+
+```
+
+                             ^
+
+```matlab
+
+>> L=\[-2+23.1j, 3-5.6j]
+
+L =
+
+  -2.0000 + 23.1000i    3.0000 -  5.6000i
+
+```
+
+
+
+## 7 Преобразования матриц 
+
+```matlab
+>> D = reshape(C, \[], 6)
+
+D =
+
+
+
+   4    8   12   16   20   24
+
+   5    9   13   17   21   25
+
+   6   10   14   18   22   26
+
+   7   11   15   19   23   27
+
+```
+
+```matlab
+
+>> E=B'\*A
+
+E =
+
+
+
+ -1.467808   1.805345  -0.234815   0.952120  -1.091901  -2.782730
+
+ -0.688507   1.687984  -0.428432   1.069487  -0.188416  -1.522026
+
+ -1.417751   2.027711  -0.782629   1.087059  -0.688963  -2.283294
+
+ -1.194195   1.228917  -0.396936   0.965854  -1.128588  -1.437582
+
+ -0.774871   1.166932  -0.485822   0.198993   0.014438  -1.716256
+
+ -0.713412   1.600553  -0.561983   1.385063  -0.475313  -0.897539
+
+ -0.721710   0.535160  -0.288015   0.100733  -0.435934  -1.038587
+
+
+```
+
+```matlab
+>> F=\[A,B]
+
+```
+
+```matlab
+
+>> G=A.\*D
+
+G =
+
+
+
+  -1.2492    2.0983   -6.7912   13.7325  -11.9405   22.5867
+
+  -1.9848    7.4126    9.0365   10.7148  -14.7934  -43.4358
+
+  -6.5905    5.3857   -3.9804   -6.3131  -12.2026  -49.5632
+
+   0.7173   12.9829   -6.9475    9.0957   20.9115  -17.1799
+
+
+```
+
+```matlab
+
+>> M=G./4.5
+
+M =
+
+
+
+  -0.2776    0.4663   -1.5092    3.0517   -2.6534    5.0193
+
+  -0.4411    1.6472    2.0081    2.3811   -3.2874   -9.6524
+
+  -1.4646    1.1968   -0.8845   -1.4029   -2.7117  -11.0140
+
+   0.1594    2.8851   -1.5439    2.0213    4.6470   -3.8177
+
+```
+
+```matlab
+
+>> DDD=D.^3
+
+DDD =
+
+
+
+     64     512    1728    4096    8000   13824
+
+    125     729    2197    4913    9261   15625
+
+    216    1000    2744    5832   10648   17576
+
+    343    1331    3375    6859   12167   19683
+
+```
+
+```matlab
+
+>> DL=D>=20
+
+DL =
+
+
+
+ 0  0  0  0  1  1
+
+ 0  0  0  0  1  1
+
+ 0  0  0  0  1  1
+
+ 0  0  0  0  1  1
+
+
+```
+
+```matlab
+>> Dstolb=D(:)
+
+Dstolb =
+
+
+
+   4
+
+   5
+
+   6
+
+   7
+
+   8
+
+   9
+
+  10
+
+  11
+
+  12
+
+  13
+
+  14
+
+  15
+
+  16
+
+  17
+
+  18
+
+  19
+
+  20
+
+  21
+
+  22
+
+  23
+
+  24
+
+  25
+
+  26
+
+  27
+
+```
+
+
+
+
+
+## 8 Изучение стандартных математических функций и операций с матрицами
+
+
+```matlab
+>> B1=sqrt(B)
+
+B1 =
+
+
+
+  0.8030   0.7575   0.9355   0.9495   0.3590   0.9812   0.4954
+
+  0.9068   0.7182   0.6915   0.7351   0.2845   0.7215   0.2751
+
+  0.9453   0.5919   0.9696   0.8069   0.8332   0.4997   0.7537
+
+  0.6362   0.8848   0.8723   0.4082   0.7660   0.8155   0.2947
+
+```
+
+```matlab
+
+>> B2=log(B)
+
+B2 =
+
+
+
+ -0.438761  -0.555453  -0.133320  -0.103559  -2.049133  -0.038052  -1.404697
+
+ -0.195605  -0.662106  -0.737842  -0.615477  -2.513947  -0.652939  -2.581039
+
+ -0.112577  -1.048919  -0.061790  -0.429077  -0.364857  -1.387420  -0.565612
+
+ -0.904533  -0.244765  -0.273267  -1.791851  -0.533128  -0.407988  -2.443381
+
+
+```
+
+```matlab
+
+>> B3=sin(B)
+
+B3 =
+
+
+
+  0.601067   0.542838   0.767662   0.784334   0.128490   0.820716   0.242985
+
+  0.732738   0.493200   0.460133   0.514464   0.080860   0.497326   0.075623
+
+  0.779288   0.343195   0.807605   0.606069   0.639845   0.247131   0.537958
+
+  0.393772   0.705330   0.689566   0.165881   0.553671   0.617049   0.086757
+
+
+```
+
+```matlab
+
+>> B1=sqrt(B)
+
+B1 =
+
+
+
+  0.8030   0.7575   0.9355   0.9495   0.3590   0.9812   0.4954
+
+  0.9068   0.7182   0.6915   0.7351   0.2845   0.7215   0.2751
+
+  0.9453   0.5919   0.9696   0.8069   0.8332   0.4997   0.7537
+
+  0.6362   0.8848   0.8723   0.4082   0.7660   0.8155   0.2947
+
+```
+
+```matlab
+
+>> B2=log(B)
+
+B2 =
+
+
+
+ -0.438761  -0.555453  -0.133320  -0.103559  -2.049133  -0.038052  -1.404697
+
+ -0.195605  -0.662106  -0.737842  -0.615477  -2.513947  -0.652939  -2.581039
+
+ -0.112577  -1.048919  -0.061790  -0.429077  -0.364857  -1.387420  -0.565612
+
+ -0.904533  -0.244765  -0.273267  -1.791851  -0.533128  -0.407988  -2.443381
+
+```
+
+```matlab
+
+>> B3=sin(B)
+
+B3 =
+
+
+
+  0.601067   0.542838   0.767662   0.784334   0.128490   0.820716   0.242985
+
+  0.732738   0.493200   0.460133   0.514464   0.080860   0.497326   0.075623
+
+  0.779288   0.343195   0.807605   0.606069   0.639845   0.247131   0.537958
+
+  0.393772   0.705330   0.689566   0.165881   0.553671   0.617049   0.086757
+
+```
+
+```matlab
+
+
+>> NN=linspace(11.5,34.1,20)
+
+NN =
+
+
+
+Columns 1 through 15:
+
+
+
+  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
+
+
+
+Columns 16 through 20:
+
+
+
+  29.342   30.532   31.721   32.911   34.100
+
+```
+
+```matlab
+
+>> FF=ones(2,4)
+
+FF =
+
+
+
+  1   1   1   1
+
+  1   1   1   1
+
+```
+
+```matlab
+
+>> GG=zeros(5)
+
+GG =
+
+
+
+  0   0   0   0   0
+
+  0   0   0   0   0
+
+  0   0   0   0   0
+
+  0   0   0   0   0
+
+  0   0   0   0   0
+
+
+```
+
+```matlab
+
+>> B1D=diag(B1)
+
+B1D =
+
+
+
+  0.8030
+
+  0.7182
+
+  0.9696
+
+  0.4082
+
+```
+
+```matlab
+
+>> DB=diag(B1D)
+
+DB =
+
+
+
+Diagonal Matrix
+
+
+       0.8030        0        0        0
+
+       0   0.7182        0        0
+
+       0        0   0.9696        0
+
+       0        0        0   0.4082
+
+```
+
+```matlab
+
+>> BS1=sort(B)
+
+BS1 =
+
+
+
+  0.404731   0.350316   0.478145   0.166651   0.080948   0.249719   0.075695
+
+  0.644835   0.515764   0.760890   0.540383   0.128847   0.520514   0.086867
+
+  0.822337   0.573813   0.875185   0.651110   0.586766   0.664987   0.245441
+
+  0.893529   0.782888   0.940080   0.901622   0.694296   0.962663   0.568012
+
+
+```
+
+```matlab
+
+>> BS2=sortrows(B,2)
+
+BS2 =
+
+
+
+  0.893529   0.350316   0.940080   0.651110   0.694296   0.249719   0.568012
+
+  0.822337   0.515764   0.478145   0.540383   0.080948   0.520514   0.075695
+
+  0.644835   0.573813   0.875185   0.901622   0.128847   0.962663   0.245441
+
+  0.404731   0.782888   0.760890   0.166651   0.586766   0.664987   0.086867
+
+```
+
+```matlab
+
+>> DS1=sum(D)
+
+DS1 =
+
+
+
+   22    38    54    70    86   102
+
+```
+
+```matlab
+
+>> DS2=sum(D,2)
+
+DS2 =
+
+
+   84
+
+   90
+
+   96
+
+  102
+
+
+```
+```matlab
+
+>> DP1=prod(D)
+
+DP1 =
+
+
+
+     840     7920    32760    93024   212520   421200
+
+
+```
+
+```matlab
+
+>> dt=det(A\*A')
+
+dt = 73.956
+
+```
+
+```matlab
+
+>> dinv=inv(A\*A')
+
+dinv =
+
+
+
+  4.4666e-01  -1.9520e-02   1.0379e-01  -3.8572e-03
+
+ -1.9520e-02   4.8342e-01  -3.4279e-01  -8.4195e-02
+
+  1.0379e-01  -3.4279e-01   4.5435e-01  -1.6761e-02
+
+ -3.8572e-03  -8.4195e-02  -1.6761e-02   3.6871e-01
+
+
+```
+
+
+## 9 Изучение индексации в матрицах
+```matlab
+
+>> D1=D(3,5)
+
+D1 = 22
+
+```
+
+```matlab
+>> D2=D(3,4:end)
+
+D2 =
+
+
+  18   22   26
+
+```
+
+```matlab
+
+
+>> D3=D(2:3,3:5)
+
+D3 =
+
+
+
+  13   17   21
+
+  14   18   22
+
+```
+
+```matlab
+
+>> D4=D(16:20)
+
+D4 =
+
+
+
+  19   20   21   22   23
+
+```
+
+```matlab
+
+
+>> D5=D(3:4,\[1,3,6])
+
+D5 =
+
+
+
+   6   14   26
+
+   7   15   27
+
+```
+
+## 10 Изучение управляющих конструкций
+```matlab
+
+>> Dsum=0
+
+Dsum = 0
+
+```
+
+```matlab
+>> for i=1:6
+
+Dsum=Dsum+sqrt(D(2,i))
+
+endfor
+
+Dsum = 2.2361
+
+Dsum = 5.2361
+
+Dsum = 8.8416
+
+Dsum = 12.965
+
+Dsum = 17.547
+
+Dsum = 22.547
+
+```
+```matlab
+
+>> Dsum2=0;i=1
+
+i = 1
+
+```
+
+```matlab
+
+>> while (D(i)<22)
+
+Dsum2=Dsum2+sin(D(i))
+
+i=i+1
+
+endwhile
+
+Dsum2 = -0.7568
+
+i = 2
+
+Dsum2 = -1.7157
+
+i = 3
+
+Dsum2 = -1.9951
+
+i = 4
+
+Dsum2 = -1.3382
+
+i = 5
+
+Dsum2 = -0.3488
+
+i = 6
+
+Dsum2 = 0.063321
+
+i = 7
+
+Dsum2 = -0.4807
+
+i = 8
+
+Dsum2 = -1.4807
+
+i = 9
+
+Dsum2 = -2.0173
+
+i = 10
+
+Dsum2 = -1.5971
+
+i = 11
+
+Dsum2 = -0.6065
+
+i = 12
+
+Dsum2 = 0.043799
+
+i = 13
+
+Dsum2 = -0.2441
+
+i = 14
+
+Dsum2 = -1.2055
+
+i = 15
+
+Dsum2 = -1.9565
+
+i = 16
+
+Dsum2 = -1.8066
+
+i = 17
+
+Dsum2 = -0.8937
+
+i = 18
+
+Dsum2 = -0.057011
+
+i = 19
+```
+
+```matlab
+
+>> if (D(3,5)>=20)
+
+printf('D(3,5)>=20')
+
+else
+
+printf('D(3,5)<20')
+
+endif
+
+D(3,5)>=20
+
+```
+
+## 11 Изучение графических функций и их вывод
+
+>> graphics_toolkit('gnuplot')
+
+>> plot(D(1,:),B(\[2,4],1:6))
+
+![Обычный график](images/image_plot.png)
+
+>> hist(A(:),6)
+
+![Гистограмма](images/image_hist.png)
+
+>> pie(C)
+
+![Круговая диаграмма](images/pie_image.png)
+
+>> bar(C)
+
+![График bar](images/image_bar.png)
+
+
+
+
+## 12 Изучение текстового редактора и добавление программы
+```matlab
+>> 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
+
+
+
+>> 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)
+

ТЕМА1/lab1_otchet.txt

@@ -0,0 +1,472 @@
+# Отчет по теме 1
+
+Ершова Вероника, А-03-24
+
+## 1 Изучение среды GNU Octave
+
+## 2 Настройка текущего каталога
+
+Нажал на окно рядом с *Текущая папка:* и установил путь к папке ТЕМА1:
+
+![Скриншот выбора текущей папки](ch_file.png)
+
+## 3 Изучение интерфейса
+
+## 4 Установка пути к папкам ТЕМА1 и ТЕМА2
+![Скриншот установки](put_file.png)
+
+## 5 Установка пути к папкам ТЕМА1 и ТЕМА2
+
+## 6 Создание матриц и векторов
+>> A=randn(4,6)
+A =
+
+  -0.3123   0.2623  -0.5659   0.8583  -0.5970   0.9411
+  -0.3970   0.8236   0.6951   0.6303  -0.7044  -1.7374
+  -1.0984   0.5386  -0.2843  -0.3507  -0.5547  -1.9063
+   0.1025   1.1803  -0.4632   0.4787   0.9092  -0.6363
+
+>> B=rand(4,7)
+warning: load_path: C:\Users\u202-15\Desktop\it-labs\ТЕМА2: No such file or directory
+warning: load_path: C:\Users\u202-15\Desktop\it-labs\ТЕМА1: No such file or directory
+B =
+
+   0.644835   0.573813   0.875185   0.901622   0.128847   0.962663   0.245441
+   0.822337   0.515764   0.478145   0.540383   0.080948   0.520514   0.075695
+   0.893529   0.350316   0.940080   0.651110   0.694296   0.249719   0.568012
+   0.404731   0.782888   0.760890   0.166651   0.586766   0.664987   0.086867
+
+>> С=4:27
+warning: load_path: C:\Users\u202-15\Desktop\it-labs\ТЕМА2: No such file or directory
+warning: load_path: C:\Users\u202-15\Desktop\it-labs\ТЕМА1: No such file or directory
+error: parse error:
+
+  invalid character '' (ASCII 208)
+
+>>> С=4:27
+    ^
+>> H='This is a symbols vector
+warning: load_path: C:\Users\u202-15\Desktop\it-labs\ТЕМА2: No such file or directory
+warning: load_path: C:\Users\u202-15\Desktop\it-labs\ТЕМА1: No such file or directory
+error: parse error:
+
+  syntax error
+
+>>> H='This is a symbols vector
+                              ^
+>> L=[-2+23.1j, 3-5.6j]
+warning: load_path: C:\Users\u202-15\Desktop\it-labs\ТЕМА2: No such file or directory
+warning: load_path: C:\Users\u202-15\Desktop\it-labs\ТЕМА1: No such file or directory
+L =
+
+   -2.0000 + 23.1000i    3.0000 -  5.6000i
+
+>> warning ('off', 'all')
+warning: load_path: C:\Users\u202-15\Desktop\it-labs\ТЕМА2: No such file or directory
+warning: load_path: C:\Users\u202-15\Desktop\it-labs\ТЕМА1: No such file or directory
+>> D=reshape(C,[],6)
+error: 'C' undefined near line 1, column 11
+>> D=reshape(C,[],6)
+error: 'C' undefined near line 1, column 11
+>> D = reshape(C, [], 6)
+error: 'C' undefined near line 1, column 13
+>> C = 4:27
+C =
+
+    4    5    6    7    8    9   10   11   12   13   14   15   16   17   18   19   20   21   22   23   24   25   26   27
+
+>> D = reshape(C, [], 6)
+D =
+
+    4    8   12   16   20   24
+    5    9   13   17   21   25
+    6   10   14   18   22   26
+    7   11   15   19   23   27
+
+>> E=B'*A
+E =
+
+  -1.467808   1.805345  -0.234815   0.952120  -1.091901  -2.782730
+  -0.688507   1.687984  -0.428432   1.069487  -0.188416  -1.522026
+  -1.417751   2.027711  -0.782629   1.087059  -0.688963  -2.283294
+  -1.194195   1.228917  -0.396936   0.965854  -1.128588  -1.437582
+  -0.774871   1.166932  -0.485822   0.198993   0.014438  -1.716256
+  -0.713412   1.600553  -0.561983   1.385063  -0.475313  -0.897539
+  -0.721710   0.535160  -0.288015   0.100733  -0.435934  -1.038587
+
+>> F=[A,B]
+F =
+
+ Columns 1 through 12:
+
+  -0.312294   0.262288  -0.565932   0.858280  -0.597024   0.941114   0.644835   0.573813   0.875185   0.901622   0.128847   0.962663
+  -0.396963   0.823623   0.695119   0.630284  -0.704447  -1.737432   0.822337   0.515764   0.478145   0.540383   0.080948   0.520514
+  -1.098415   0.538569  -0.284317  -0.350730  -0.554662  -1.906275   0.893529   0.350316   0.940080   0.651110   0.694296   0.249719
+   0.102471   1.180265  -0.463169   0.478719   0.909196  -0.636291   0.404731   0.782888   0.760890   0.166651   0.586766   0.664987
+
+ Column 13:
+
+   0.245441
+   0.075695
+   0.568012
+   0.086867
+
+>> G=A.*D
+G =
+
+   -1.2492    2.0983   -6.7912   13.7325  -11.9405   22.5867
+   -1.9848    7.4126    9.0365   10.7148  -14.7934  -43.4358
+   -6.5905    5.3857   -3.9804   -6.3131  -12.2026  -49.5632
+    0.7173   12.9829   -6.9475    9.0957   20.9115  -17.1799
+
+>> M=G./4.5
+M =
+
+   -0.2776    0.4663   -1.5092    3.0517   -2.6534    5.0193
+   -0.4411    1.6472    2.0081    2.3811   -3.2874   -9.6524
+   -1.4646    1.1968   -0.8845   -1.4029   -2.7117  -11.0140
+    0.1594    2.8851   -1.5439    2.0213    4.6470   -3.8177
+
+>> DDD=D.^3
+DDD =
+
+      64     512    1728    4096    8000   13824
+     125     729    2197    4913    9261   15625
+     216    1000    2744    5832   10648   17576
+     343    1331    3375    6859   12167   19683
+
+>> DL=D>=20
+DL =
+
+  0  0  0  0  1  1
+  0  0  0  0  1  1
+  0  0  0  0  1  1
+  0  0  0  0  1  1
+
+>> Dstolb=D(:)
+Dstolb =
+
+    4
+    5
+    6
+    7
+    8
+    9
+   10
+   11
+   12
+   13
+   14
+   15
+   16
+   17
+   18
+   19
+   20
+   21
+   22
+   23
+   24
+   25
+   26
+   27
+
+>> B1=sqrt(B)
+B1 =
+
+   0.8030   0.7575   0.9355   0.9495   0.3590   0.9812   0.4954
+   0.9068   0.7182   0.6915   0.7351   0.2845   0.7215   0.2751
+   0.9453   0.5919   0.9696   0.8069   0.8332   0.4997   0.7537
+   0.6362   0.8848   0.8723   0.4082   0.7660   0.8155   0.2947
+
+>> B2=log(B)
+B2 =
+
+  -0.438761  -0.555453  -0.133320  -0.103559  -2.049133  -0.038052  -1.404697
+  -0.195605  -0.662106  -0.737842  -0.615477  -2.513947  -0.652939  -2.581039
+  -0.112577  -1.048919  -0.061790  -0.429077  -0.364857  -1.387420  -0.565612
+  -0.904533  -0.244765  -0.273267  -1.791851  -0.533128  -0.407988  -2.443381
+
+>> B3=sin(B)
+B3 =
+
+   0.601067   0.542838   0.767662   0.784334   0.128490   0.820716   0.242985
+   0.732738   0.493200   0.460133   0.514464   0.080860   0.497326   0.075623
+   0.779288   0.343195   0.807605   0.606069   0.639845   0.247131   0.537958
+   0.393772   0.705330   0.689566   0.165881   0.553671   0.617049   0.086757
+
+>> B1=sqrt(B)
+B1 =
+
+   0.8030   0.7575   0.9355   0.9495   0.3590   0.9812   0.4954
+   0.9068   0.7182   0.6915   0.7351   0.2845   0.7215   0.2751
+   0.9453   0.5919   0.9696   0.8069   0.8332   0.4997   0.7537
+   0.6362   0.8848   0.8723   0.4082   0.7660   0.8155   0.2947
+
+>> B2=log(B)
+B2 =
+
+  -0.438761  -0.555453  -0.133320  -0.103559  -2.049133  -0.038052  -1.404697
+  -0.195605  -0.662106  -0.737842  -0.615477  -2.513947  -0.652939  -2.581039
+  -0.112577  -1.048919  -0.061790  -0.429077  -0.364857  -1.387420  -0.565612
+  -0.904533  -0.244765  -0.273267  -1.791851  -0.533128  -0.407988  -2.443381
+
+>> B3=sin(B)
+B3 =
+
+   0.601067   0.542838   0.767662   0.784334   0.128490   0.820716   0.242985
+   0.732738   0.493200   0.460133   0.514464   0.080860   0.497326   0.075623
+   0.779288   0.343195   0.807605   0.606069   0.639845   0.247131   0.537958
+   0.393772   0.705330   0.689566   0.165881   0.553671   0.617049   0.086757
+
+>> NN=linspace(11.5,34.1,20)
+NN =
+
+ Columns 1 through 15:
+
+   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
+
+ Columns 16 through 20:
+
+   29.342   30.532   31.721   32.911   34.100
+
+>> FF=ones(2,4)
+FF =
+
+   1   1   1   1
+   1   1   1   1
+
+>> GG=zeros(5)
+GG =
+
+   0   0   0   0   0
+   0   0   0   0   0
+   0   0   0   0   0
+   0   0   0   0   0
+   0   0   0   0   0
+
+>> B1D=diag(B1)
+B1D =
+
+   0.8030
+   0.7182
+   0.9696
+   0.4082
+
+>> DB=diag(B1D)
+DB =
+
+Diagonal Matrix
+
+   0.8030        0        0        0
+        0   0.7182        0        0
+        0        0   0.9696        0
+        0        0        0   0.4082
+
+>> BS1=sort(B)
+BS1 =
+
+   0.404731   0.350316   0.478145   0.166651   0.080948   0.249719   0.075695
+   0.644835   0.515764   0.760890   0.540383   0.128847   0.520514   0.086867
+   0.822337   0.573813   0.875185   0.651110   0.586766   0.664987   0.245441
+   0.893529   0.782888   0.940080   0.901622   0.694296   0.962663   0.568012
+
+>> BS2=sortrows(B,2)
+BS2 =
+
+   0.893529   0.350316   0.940080   0.651110   0.694296   0.249719   0.568012
+   0.822337   0.515764   0.478145   0.540383   0.080948   0.520514   0.075695
+   0.644835   0.573813   0.875185   0.901622   0.128847   0.962663   0.245441
+   0.404731   0.782888   0.760890   0.166651   0.586766   0.664987   0.086867
+
+>> DS1=sum(D)
+DS1 =
+
+    22    38    54    70    86   102
+
+>> DS2=sum(D,2)
+DS2 =
+
+    84
+    90
+    96
+   102
+
+>> DP1=prod(D)
+DP1 =
+
+      840     7920    32760    93024   212520   421200
+
+>> dt=det(A*A')
+dt = 73.956
+>> dinv=inv(A*A')
+dinv =
+
+   4.4666e-01  -1.9520e-02   1.0379e-01  -3.8572e-03
+  -1.9520e-02   4.8342e-01  -3.4279e-01  -8.4195e-02
+   1.0379e-01  -3.4279e-01   4.5435e-01  -1.6761e-02
+  -3.8572e-03  -8.4195e-02  -1.6761e-02   3.6871e-01
+
+>> D1=D(3,5)
+D1 = 22
+>> D2=D(3,4:end)
+D2 =
+
+   18   22   26
+
+>> D3=D(2:3,3:5)
+D3 =
+
+   13   17   21
+   14   18   22
+
+>> D4=D(16:20)
+D4 =
+
+   19   20   21   22   23
+
+>> D5=D(3:4,[1,3,6])
+D5 =
+
+    6   14   26
+    7   15   27
+
+>> Dsum=0
+Dsum = 0
+>> for i=1:6
+Dsum=Dsum+sqrt(D(2,i))
+endfor
+Dsum = 2.2361
+Dsum = 5.2361
+Dsum = 8.8416
+Dsum = 12.965
+Dsum = 17.547
+Dsum = 22.547
+>> Dsum2=0;i=1
+i = 1
+>> while (D(i)<22)
+Dsum2=Dsum2+sin(D(i))
+i=i+1
+endwhile
+Dsum2 = -0.7568
+i = 2
+Dsum2 = -1.7157
+i = 3
+Dsum2 = -1.9951
+i = 4
+Dsum2 = -1.3382
+i = 5
+Dsum2 = -0.3488
+i = 6
+Dsum2 = 0.063321
+i = 7
+Dsum2 = -0.4807
+i = 8
+Dsum2 = -1.4807
+i = 9
+Dsum2 = -2.0173
+i = 10
+Dsum2 = -1.5971
+i = 11
+Dsum2 = -0.6065
+i = 12
+Dsum2 = 0.043799
+i = 13
+Dsum2 = -0.2441
+i = 14
+Dsum2 = -1.2055
+i = 15
+Dsum2 = -1.9565
+i = 16
+Dsum2 = -1.8066
+i = 17
+Dsum2 = -0.8937
+i = 18
+Dsum2 = -0.057011
+i = 19
+>> if (D(3,5)>=20)
+printf('D(3,5)>=20')
+else
+printf('D(3,5)<20')
+endif
+D(3,5)>=20>> plot(D(1,:),B([2,4],1:6))
+>> plot(D(1,:),B([2,4],1:6))
+>> hist(A(:),6)
+>> pie(A(:),6)
+error: pie: mismatch in number of elements in explode and data
+error: called from
+    __pie__ at line 58 column 9
+    pie at line 80 column 10
+>> bar(A(:),6)
+>> hist(A(:), 6)
+>> plot(D(1,:), B([2,4],1:6))
+>>
+>> hist(A(:),6)
+>> hist(A, 6)
+>> graphics_toolkit('gnuplot')
+>> plot(D(1,:),B([2,4],1:6))
+>> hist(A(:),6)
+>> pie(D(1,:),B([2,4],1:6))
+error: pie: mismatch in number of elements in explode and data
+error: called from
+    __pie__ at line 58 column 9
+    pie at line 80 column 10
+>>
+>> plot(D(1,:),B([2,4],1:6))
+>>
+>> pie(A)
+error: pie: X must be a vector
+error: called from
+    __pie__ at line 38 column 5
+    pie at line 80 column 10
+
+
+
+
+
+>> 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
+
+>> 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
+
+>>
+
+>> pie(C)
+
+

ТЕМА1/task.md

@@ -0,0 +1,312 @@
+# Общее контрольное задание по теме 1
+
+
+
+Ершова Вероника, А-03-24
+
+
+
+## Задание
+
+
+
+
+
+- Создайте переменную ММ – матрицу 5х7 со случайными нормально распределенными элементами с математическим ожиданием 10 и стандартным отклонением 8.
+
+- Рассчитайте среднее значение SR по всем элементам матрицы ММ.
+
+- Замените в ММ все значения, превышающие SR+8, на значение SR+8, а значения, меньшие, чем SR-8, - на SR-8.
+
+- Превратите ММ в вектор – столбец ММС. Упорядочьте его элементы по возрастанию. Определите значение медианы, в качестве которого возьмите серединное по порядку индексов значение в упорядоченном векторе.
+
+- Рассчитайте матрицу ММ1 с элементами, равными натуральным логарифмам от значений соответствующих элементов из матрицы ММ.
+
+
+
+
+
+
+
+## Решение
+
+
+
+
+
+
+
+```matlab
+
+
+
+>> MM=10+8\*randn(5,7)
+
+MM =
+
+
+
+   6.0570   20.4343    8.7058    1.1039    1.4541    3.4206    8.7435
+
+   8.3675   12.1840    5.1947    3.8021   11.5572   -2.0542   13.7282
+
+  16.4205   -3.0828    6.9952   15.2463    3.6747   -1.8473    1.5814
+
+  18.7164    2.0928   14.2189   12.7394   18.8633   17.6091    8.4449
+
+  17.2967   -2.8972    4.5790    2.3364   15.2289   15.0232    9.5083
+
+
+
+>>
+
+
+
+>>> SR=sum(MM(:))/numel(MM)
+
+SR = 8.4413
+
+>>
+
+
+
+>> MM(MM>SR+8)=SR+8
+
+MM =
+
+
+
+   6.0570   16.4413    8.7058    1.1039    1.4541    3.4206    8.7435
+
+   8.3675   12.1840    5.1947    3.8021   11.5572   -2.0542   13.7282
+
+  16.4205   -3.0828    6.9952   15.2463    3.6747   -1.8473    1.5814
+
+  16.4413    2.0928   14.2189   12.7394   16.4413   16.4413    8.4449
+
+  16.4413   -2.8972    4.5790    2.3364   15.2289   15.0232    9.5083
+
+
+
+>>
+
+
+
+>> MM(MM<SR-8)=SR-8
+
+MM =
+
+
+
+   6.0570   16.4413    8.7058    1.1039    1.4541    3.4206    8.7435
+
+   8.3675   12.1840    5.1947    3.8021   11.5572    0.4413   13.7282
+
+  16.4205    0.4413    6.9952   15.2463    3.6747    0.4413    1.5814
+
+  16.4413    2.0928   14.2189   12.7394   16.4413   16.4413    8.4449
+
+  16.4413    0.4413    4.5790    2.3364   15.2289   15.0232    9.5083
+
+
+
+>>
+
+
+
+>> MMC=MM(:)
+
+MMC =
+
+
+
+   6.0570
+
+   8.3675
+
+  16.4205
+
+  16.4413
+
+  16.4413
+
+  16.4413
+
+  12.1840
+
+   0.4413
+
+   2.0928
+
+   0.4413
+
+   8.7058
+
+   5.1947
+
+   6.9952
+
+  14.2189
+
+   4.5790
+
+   1.1039
+
+   3.8021
+
+  15.2463
+
+  12.7394
+
+   2.3364
+
+   1.4541
+
+  11.5572
+
+   3.6747
+
+  16.4413
+
+  15.2289
+
+   3.4206
+
+   0.4413
+
+   0.4413
+
+  16.4413
+
+  15.0232
+
+   8.7435
+
+  13.7282
+
+   1.5814
+
+   8.4449
+
+   9.5083
+
+
+
+
+
+
+
+>> MMC1=sort(MMC)
+
+
+
+MMC1 =
+
+
+
+   0.4413
+
+   0.4413
+
+   0.4413
+
+   0.4413
+
+   1.1039
+
+   1.4541
+
+   1.5814
+
+   2.0928
+
+   2.3364
+
+   3.4206
+
+   3.6747
+
+   3.8021
+
+   4.5790
+
+   5.1947
+
+   6.0570
+
+   6.9952
+
+   8.3675
+
+   8.4449
+
+   8.7058
+
+   8.7435
+
+   9.5083
+
+  11.5572
+
+  12.1840
+
+  12.7394
+
+  13.7282
+
+  14.2189
+
+  15.0232
+
+  15.2289
+
+  15.2463
+
+  16.4205
+
+  16.4413
+
+  16.4413
+
+  16.4413
+
+  16.4413
+
+  16.4413
+
+
+
+
+
+
+
+>> Med=MMC1(floor(numel(MMC1)/2)+1)
+
+
+
+Med = 8.4449
+
+
+
+>> MM1=log(MM)
+
+MM1 =
+
+
+
+  1.801215   2.799799   2.163988   0.098842   0.374376   1.229814   2.168314
+
+  2.124358   2.500127   1.647634   1.335541   2.447309  -0.817926   2.619456
+
+  2.798530  -0.817926   1.945231   2.724338   1.301468  -0.817926   0.458295
+
+  2.799799   0.738493   2.654574   2.544702   2.799799   2.799799   2.133568
+
+  2.799799  -0.817926   1.521478   0.848624   2.723198   2.709593   2.252166
+
+
+
+>>
+
+
+

ТЕМА2/Prog2.m

@@ -0,0 +1,25 @@
+warning('off', 'all');
+fp=fopen('prtcl.txt ','w')
+XX=load('dan_vuz.txt');
+size(XX);
+X=XX(:,3:13);
+R=corr(X);
+[vect,lambda]=eig(X'*X);
+Sobst=diag(lambda);
+fprintf(fp, 'Eigenvalues:\n %f \n',Sobst);
+fprintf(fp, '\n');
+SobMax=Sobst(end);
+GlComp=vect(:,end);
+Delt=100*SobMax/sum(Sobst);
+fprintf('Delta= %d \n ',round(Delt));
+Res=X*GlComp;
+fprintf(fp, ' Results \n ');
+fprintf(fp, '%d  %f \n ',[XX(:,1),Res] ');
+save res.mat Res -mat;
+hist(Res,20);
+xlabel('Results ');
+ylabel('Number of Unis ');
+saveas(gcf, 'Hist.jpg ', 'jpg ');
+CorFin=corr(Res,XX(:,2));
+fprintf(fp,'Correlation of Results and Money = %f \n',CorFin);
+fclose(fp);

ТЕМА2/otchet2.md

@@ -0,0 +1,593 @@
+# Отчет по теме 2
+
+
+
+Ершова Вероника, А-03-24
+
+
+
+## 1 Настройка текущего каталога
+
+
+
+Нажал на окно рядом с *Текущая папка* и установил путь к папке ТЕМА2:
+
+
+
+![Скриншот выбора текущей папки](assets/pics_t2.png)
+
+
+
+## 2 Изучение данных о результативности выполнения научно-исследовательских работ в российских вузах
+
+
+
+```matlab
+
+XX =
+
+
+
+Columns 1 through 9:
+
+
+
+  1.9700e+02   1.3717e+06   8.0000e+00   4.0000e+00   2.0000e+00   5.3000e+01   7.0000e+00   7.6000e+01   1.3000e+01
+
+  1.9800e+02   7.3820e+05   4.0000e+00   5.0000e+00   6.0000e+00   7.1000e+01   5.0000e+00   3.6000e+01   1.3000e+01
+
+  1.9900e+02   2.4167e+05   1.0000e+00            0   1.0000e+00   5.0000e+00   5.0000e+00   2.0000e+00            0
+
+  2.0000e+02   6.1990e+05   3.0000e+00   1.0000e+00   1.0000e+00   2.8000e+01            0   2.4000e+01            0
+
+  2.0100e+02   1.7553e+06   7.0000e+00   1.0000e+01   6.0000e+00   5.4000e+01   7.0000e+00   4.6000e+01   2.0000e+00
+
+  2.0200e+02   5.7215e+05            0   2.0000e+00   2.0000e+00   2.2000e+01   7.0000e+00   1.7000e+01            0
+
+  2.0300e+02   1.4322e+06            0   6.0000e+00   1.1000e+01   3.0000e+01   8.0000e+00   8.8000e+01            0
+
+  2.0400e+02   1.3277e+06   5.0000e+00   2.0000e+00            0   7.8000e+01   3.0000e+00   4.0000e+01   6.0000e+00
+
+  2.0500e+02   4.9080e+05   7.0000e+00            0            0   2.0000e+01            0   3.0000e+01   1.2000e+01
+
+  2.0600e+02   6.3472e+05   1.0000e+00   1.0000e+00   1.0000e+00   1.2000e+01   3.0000e+00   1.3000e+01   3.0000e+00
+
+  2.0700e+02   7.4157e+05   8.0000e+00   4.0000e+00   3.0000e+00   3.3000e+01   1.0000e+00   3.7000e+01   8.0000e+00
+
+  …
+
+>> size(XX)
+
+ans =
+
+
+
+  290    15
+
+
+
+>>
+>> X=XX(:,3:13);
+>> R=corr(X)
+R =
+
+ Columns 1 through 9:
+
+   1.0000e+00   4.4320e-01   4.5229e-01   4.4779e-01   3.8123e-01   4.6516e-01   3.1487e-01   6.5579e-02   2.9153e-01
+   4.4320e-01   1.0000e+00   8.5319e-01   8.5331e-01   8.6240e-01   8.5436e-01   5.5145e-01   2.5082e-02   4.2348e-01
+   4.5229e-01   8.5319e-01   1.0000e+00   8.4660e-01   8.8651e-01   9.0335e-01   5.5091e-01   3.8840e-03   4.4396e-01
+   4.4779e-01   8.5331e-01   8.4660e-01   1.0000e+00   8.7038e-01   9.3849e-01   7.0924e-01   4.9500e-02   4.5873e-01
+   3.8123e-01   8.6240e-01   8.8651e-01   8.7038e-01   1.0000e+00   9.3605e-01   5.7668e-01   3.7562e-02   3.8322e-01
+   4.6516e-01   8.5436e-01   9.0335e-01   9.3849e-01   9.3605e-01   1.0000e+00   6.3033e-01   4.7121e-02   4.7592e-01
+   3.1487e-01   5.5145e-01   5.5091e-01   7.0924e-01   5.7668e-01   6.3033e-01   1.0000e+00   7.9448e-02   4.1878e-01
+   6.5579e-02   2.5082e-02   3.8840e-03   4.9500e-02   3.7562e-02   4.7121e-02   7.9448e-02   1.0000e+00   4.7985e-02
+   2.9153e-01   4.2348e-01   4.4396e-01   4.5873e-01   3.8322e-01   4.7592e-01   4.1878e-01   4.7985e-02   1.0000e+00
+   4.8811e-01   8.2170e-01   7.8358e-01   8.5183e-01   7.7266e-01   8.3810e-01   6.2936e-01   5.6462e-02   6.2616e-01
+   3.9815e-01   2.6183e-01   2.6408e-01   3.4420e-01   1.8751e-01   3.3118e-01   2.8287e-01   1.3662e-01   4.5537e-01
+
+ Columns 10 and 11:
+
+   4.8811e-01   3.9815e-01
+   8.2170e-01   2.6183e-01
+   7.8358e-01   2.6408e-01
+   8.5183e-01   3.4420e-01
+   7.7266e-01   1.8751e-01
+   8.3810e-01   3.3118e-01
+   6.2936e-01   2.8287e-01
+   5.6462e-02   1.3662e-01
+   6.2616e-01   4.5537e-01
+   1.0000e+00   3.8799e-01
+   3.8799e-01   1.0000e+00
+
+>>
+
+>> [vect,lambda]=eig(X'*X)
+vect =
+
+ Columns 1 through 9:
+
+   1.3928e-03   3.7187e-02  -6.5276e-02   1.1402e-01  -5.7482e-02  -4.3369e-01  -8.6174e-01   1.8078e-02  -2.0942e-01
+  -8.0998e-04   6.0909e-01   3.8181e-01  -5.6588e-01  -2.6231e-01   2.2396e-01  -1.8894e-01  -2.6535e-02   7.3599e-02
+  -7.5396e-03  -4.5900e-01  -5.2153e-01  -6.7233e-01  -1.9752e-01   9.4377e-02  -1.1098e-01  -3.7697e-03   2.9602e-02
+  -1.5197e-04  -2.3868e-03  -3.9384e-02   2.0471e-02   2.9085e-02  -4.2879e-02   3.9810e-02  -2.5705e-01   1.7315e-01
+   1.0985e-03  -2.1296e-02  -1.7772e-02   1.0189e-01   1.5147e-01   2.9246e-02  -2.2268e-01   9.3732e-02   8.4203e-01
+   4.6341e-05   2.4446e-02   3.4514e-02   6.8266e-03  -2.8773e-02  -3.6347e-02   1.2360e-01   5.5571e-02  -4.0806e-01
+   1.1860e-03   4.2558e-03   2.3496e-02  -4.8185e-02  -1.5673e-02  -5.8142e-02   5.8108e-02   9.5701e-01   5.2365e-03
+  -9.9994e-01   5.6340e-04   6.5198e-03   4.0470e-03   7.5475e-03   1.2608e-03  -2.3724e-03   1.4645e-03  -1.0271e-03
+  -1.6282e-03   4.6826e-01  -6.5978e-01   2.6872e-01   2.8869e-02   4.9535e-01  -1.2025e-01   5.8771e-02  -9.1452e-02
+   1.7002e-03  -4.2581e-01   3.3001e-01   2.8074e-01  -3.9004e-01   6.2610e-01  -2.7487e-01   3.6416e-02  -5.9676e-02
+   7.7010e-03  -1.2368e-01   1.7350e-01  -2.2481e-01   8.4320e-01   3.2876e-01  -2.2260e-01   1.8627e-02  -1.7997e-01
+
+ Columns 10 and 11:
+
+   4.4068e-02   3.5306e-02
+   6.2111e-03   4.6772e-02
+  -4.1502e-02   4.8953e-02
+   7.2027e-01   6.1556e-01
+  -3.7246e-01   2.4277e-01
+  -5.1787e-01   7.3685e-01
+   2.5496e-01   9.5893e-02
+   5.5851e-04   1.6945e-04
+   2.0459e-02   1.7911e-02
+   5.3342e-02   5.9523e-02
+   4.8313e-02   1.7425e-02
+
+lambda =
+
+Diagonal Matrix
+
+ Columns 1 through 9:
+
+   2.2947e+01            0            0            0            0            0            0            0            0
+            0   1.9317e+03            0            0            0            0            0            0            0
+            0            0   2.5940e+03            0            0            0            0            0            0
+            0            0            0   3.4573e+03            0            0            0            0            0
+            0            0            0            0   5.6252e+03            0            0            0            0
+            0            0            0            0            0   8.6721e+03            0            0            0
+            0            0            0            0            0            0   1.8915e+04            0            0
+            0            0            0            0            0            0            0   4.7523e+04            0
+            0            0            0            0            0            0            0            0   5.7484e+04
+            0            0            0            0            0            0            0            0            0
+            0            0            0            0            0            0            0            0            0
+
+ Columns 10 and 11:
+
+            0            0
+            0            0
+            0            0
+            0            0
+            0            0
+            0            0
+            0            0
+            0            0
+            0            0
+   2.2565e+05            0
+            0   7.4946e+06
+
+>>
+>> Sobst=diag(lambda);
+
+>> fprintf('Eigenvalues:\n %f \n',Sobst)
+Eigenvalues:
+ 22.946585
+Eigenvalues:
+ 1931.665464
+Eigenvalues:
+ 2593.979592
+Eigenvalues:
+ 3457.339562
+Eigenvalues:
+ 5625.151474
+Eigenvalues:
+ 8672.065947
+Eigenvalues:
+ 18914.627989
+Eigenvalues:
+ 47522.678185
+Eigenvalues:
+ 57483.681267
+Eigenvalues:
+ 225653.068540
+Eigenvalues:
+ 7494628.795394
+>> fprintf('\n')
+
+>> SobMax=Sobst(end)
+SobMax = 7.4946e+06
+>> GlComp=vect(:,end)
+GlComp =
+
+   3.5306e-02
+   4.6772e-02
+   4.8953e-02
+   6.1556e-01
+   2.4277e-01
+   7.3685e-01
+   9.5893e-02
+   1.6945e-04
+   1.7911e-02
+   5.9523e-02
+   1.7425e-02
+
+>> Delt=100*SobMax/sum(Sobst)
+Delt = 95.273
+>> fprintf('Delta= %d \n ',round(Delt))
+Delta= 95
+>> Res=X*GlComp
+Res =
+
+   9.2542e+01
+   7.3433e+01
+   5.8855e+00
+   3.5300e+01
+   7.0208e+01
+   2.8096e+01
+   8.7136e+01
+   7.9776e+01
+   3.6243e+01
+   1.8250e+01
+   4.9667e+01
+   4.5067e+01
+   8.1785e+01
+   5.5559e+00
+…
+>> fprintf(' Results \n ')
+ Results
+ >> fprintf('%d  %f \n ',[XX(:,1),Res] ')
+197  92.541636
+ 198  73.432513
+ 199  5.885468
+ 200  35.300393
+ 201  70.208100
+ 202  28.096191
+ 203  87.136298
+ 204  79.776499
+ 205  36.243011
+ 206  18.249808
+ 207  49.666520
+ 208  45.067095
+ 209  81.785392
+ 210  5.555862
+…
+>> save res.mat Res -mat
+>> hist(Res,20)
+>> xlabel('Results ')
+>> ylabel('Number of Unis ')
+>> saveas(gcf, 'Hist.jpg ', 'jpg ')
+![Гистограмма](Hist.jpg)
+>> CorFin=corr(Res,XX(:,2))
+CorFin = 0.8437
+>> fprintf('Correlation of Results and Money = %f \n',CorFin)
+Correlation of Results and Money = 0.843710
+>>
+```
+## 3 Создание программы с командами
+
+![Вид программы 2 с использованными командами](assets/Prog2_pic.png)
+
+## 4 Редактирование программы с командами
+Для предотвращения эхо-вывода результатов выполнения команд
+
+## 5 Создание файла с отображением результатов
+Eigenvalues:
+ 22.946585 
+Eigenvalues:
+ 1931.665464 
+Eigenvalues:
+ 2593.979592 
+Eigenvalues:
+ 3457.339562 
+Eigenvalues:
+ 5625.151474 
+Eigenvalues:
+ 8672.065947 
+Eigenvalues:
+ 18914.627989 
+Eigenvalues:
+ 47522.678185 
+Eigenvalues:
+ 57483.681267 
+Eigenvalues:
+ 225653.068540 
+Eigenvalues:
+ 7494628.795394 
+
+ Results 
+ 197  92.541636 
+ 198  73.432513 
+ 199  5.885468 
+ 200  35.300393 
+ 201  70.208100 
+ 202  28.096191 
+ 203  87.136298 
+ 204  79.776499 
+ 205  36.243011 
+ 206  18.249808 
+ 207  49.666520 
+ 208  45.067095 
+ 209  81.785392 
+ 210  5.555862 
+ 211  105.361366 
+ 212  4.575460 
+ 213  381.204021 
+ 214  26.712747 
+ 216  8.037618 
+ 217  119.627795 
+ 218  10.061485 
+ 219  63.762947 
+ 220  9.087658 
+ 221  41.684105 
+ 222  35.907417 
+ 223  76.139589 
+ 224  23.752550 
+ 225  142.216169 
+ 226  67.755801 
+ 227  20.597788 
+ 228  76.818771 
+ 229  104.284923 
+ 230  18.541601 
+ 231  4.473983 
+ 232  3.580878 
+ 233  224.758597 
+ 234  26.863645 
+ 235  212.911324 
+ 236  50.921549 
+ 237  33.628254 
+ 238  42.168327 
+ 239  103.701129 
+ 240  136.060809 
+ 241  713.711764 
+ 242  34.027235 
+ 245  4.102289 
+ 246  27.086730 
+ 247  2.667541 
+ 248  2.497556 
+ 252  103.829221 
+ 253  7.460715 
+ 256  34.755449 
+ 257  4.359736 
+ 258  5.741187 
+ 259  15.989432 
+ 261  45.399798 
+ 264  2.462250 
+ 267  6.424390 
+ 268  66.503024 
+ 273  73.935542 
+ 275  11.130530 
+ 296  3.684256 
+ 304  9.970486 
+ 305  28.031419 
+ 311  1.352414 
+ 318  40.905330 
+ 322  11.722703 
+ 325  30.793455 
+ 326  42.716264 
+ 329  10.023429 
+ 330  32.260491 
+ 334  25.495269 
+ 335  36.870098 
+ 336  42.948416 
+ 339  87.963238 
+ 340  228.668981 
+ 341  99.146097 
+ 342  28.749899 
+ 343  9.622160 
+ 346  1.359974 
+ 347  54.213640 
+ 348  107.547742 
+ 349  116.106427 
+ 352  299.102890 
+ 356  14.333164 
+ 357  20.479493 
+ 362  144.908794 
+ 365  14.952535 
+ 366  25.976099 
+ 371  268.149429 
+ 372  12.353605 
+ 373  4.526119 
+ 376  104.664655 
+ 377  91.264814 
+ 379  209.329940 
+ 381  196.452926 
+ 383  4.812125 
+ 387  1.387719 
+ 388  50.732954 
+ 389  118.633179 
+ 391  212.528679 
+ 392  37.744725 
+ 393  30.102473 
+ 394  320.669960 
+ 395  0.000000 
+ 399  41.450044 
+ 410  141.123026 
+ 412  405.347359 
+ 413  12.875247 
+ 414  117.612150 
+ 441  8.989886 
+ 446  74.655250 
+ 448  89.566395 
+ 451  37.992598 
+ 456  40.599701 
+ 465  37.339465 
+ 466  142.928780 
+ 467  9.122607 
+ 472  53.463843 
+ 476  93.289532 
+ 477  57.155319 
+ 484  19.139209 
+ 1001  5.491474 
+ 1002  85.213352 
+ 1004  170.642969 
+ 1017  90.453986 
+ 1030  57.810669 
+ 1034  7.372961 
+ 1035  9.614944 
+ 1037  1.846687 
+ 1038  17.646937 
+ 1039  153.910670 
+ 1041  119.835954 
+ 1044  5.010210 
+ 1  2.691959 
+ 2  379.300890 
+ 3  13.497203 
+ 4  2.462250 
+ 6  19.718182 
+ 7  200.667783 
+ 8  93.618235 
+ 9  25.650544 
+ 10  26.344823 
+ 11  65.285854 
+ 12  21.514761 
+ 13  176.510003 
+ 14  1898.884523 
+ 15  91.241365 
+ 16  304.552394 
+ 17  6.355976 
+ 18  3.439437 
+ 19  158.859588 
+ 20  187.802059 
+ 21  26.561371 
+ 22  8.657907 
+ 23  110.316703 
+ 26  21.286647 
+ 28  8.028500 
+ 29  76.976887 
+ 33  148.320170 
+ 34  97.178361 
+ 35  6.713123 
+ 36  88.631285 
+ 37  333.404629 
+ 38  27.838269 
+ 40  11.662869 
+ 41  0.000000 
+ 42  71.250154 
+ 43  0.369757 
+ 44  10.360736 
+ 45  3.855089 
+ 51  81.568715 
+ 52  54.636552 
+ 53  23.501931 
+ 54  90.446620 
+ 55  57.162095 
+ 56  162.850196 
+ 57  305.874565 
+ 58  6.323299 
+ 59  59.415851 
+ 60  46.966205 
+ 62  56.660855 
+ 63  815.675312 
+ 64  47.723188 
+ 65  277.021471 
+ 66  328.086215 
+ 67  113.590454 
+ 68  11.709047 
+ 69  33.969900 
+ 71  0.913379 
+ 72  122.671912 
+ 73  59.978744 
+ 74  7.491057 
+ 75  12.504248 
+ 76  24.208529 
+ 77  400.110964 
+ 78  263.576362 
+ 79  25.930889 
+ 80  36.895259 
+ 81  254.783774 
+ 82  6.870138 
+ 84  12.625935 
+ 85  23.783568 
+ 86  3.159890 
+ 87  5.151827 
+ 88  0.000000 
+ 89  106.765711 
+ 90  15.783445 
+ 91  30.701284 
+ 92  64.989933 
+ 93  43.087958 
+ 94  31.124285 
+ 95  5.171761 
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+ Correlation of Results and Money = 0.843710 
+
+## 6 Использование стандартных функций 
+
+
+
+
+

ТЕМА2/prtcl.txt

@@ -0,0 +1,315 @@
+Eigenvalues:
+ 22.946585 
+Eigenvalues:
+ 1931.665464 
+Eigenvalues:
+ 2593.979592 
+Eigenvalues:
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+Eigenvalues:
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+Eigenvalues:
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+Eigenvalues:
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+Eigenvalues:
+ 47522.678185 
+Eigenvalues:
+ 57483.681267 
+Eigenvalues:
+ 225653.068540 
+Eigenvalues:
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+
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+ Correlation of Results and Money = 0.843710