From f0ef8f0e258b794bafc6d1ccb6c7bf7316f2fa53 Mon Sep 17 00:00:00 2001
From: RoznatovskyTA <qwertttt158@gmail.com>
Date: Thu, 12 Feb 2026 13:55:24 +0300
Subject: [PATCH] otchet

---
 ...Текстовый документ (2).md | 368 ------------------
 ТЕМА2/otchet.md                           | 155 ++++++++
 .../Hist.jpg                                  | Bin
 .../Hist1.jpg                                 | Bin
 тема 2 материалы/figure0.png     | Bin 0 -> 4013 bytes
 тема 2 материалы/otchet.md       |   8 +
 тема 2 материалы/prtcl.txt       | 316 +++++++++++++++
 тема 2 материалы/res.mat         | Bin 0 -> 2504 bytes
 тема 2 материалы/res.mat1        | Bin 0 -> 2504 bytes
 тема 2 материалы/scenario.m      |  24 ++
 10 files changed, 503 insertions(+), 368 deletions(-)
 delete mode 100644 ТЕМА1/Текстовый документ (2).md
 create mode 100644 ТЕМА2/otchet.md
 rename {ТЕМА2 => тема 2 материалы}/Hist.jpg (100%)
 rename {ТЕМА2 => тема 2 материалы}/Hist1.jpg (100%)
 create mode 100644 тема 2 материалы/figure0.png
 create mode 100644 тема 2 материалы/otchet.md
 create mode 100644 тема 2 материалы/prtcl.txt
 create mode 100644 тема 2 материалы/res.mat
 create mode 100644 тема 2 материалы/res.mat1
 create mode 100644 тема 2 материалы/scenario.m

diff --git a/ТЕМА1/Текстовый документ (2).md b/ТЕМА1/Текстовый документ (2).md
deleted file mode 100644
index d7b39b2..0000000
--- a/ТЕМА1/Текстовый документ (2).md	
+++ /dev/null
@@ -1,368 +0,0 @@
-# Отчет по лабораторной работе
-
-## 1. Создание переменных
-
-Исходные данные:
-
-```matlab
->> A=randn(4,6)
-
-A =
-
-6.3711e-01 7.8432e-01 1.8025e-01 3.5787e-01 6.8852e-01 5.1192e-01
-3.1581e-02 1.6664e-01 7.5393e-01 8.1534e-01 4.7666e-01 7.6663e-01
-9.6584e-01 1.1820e-02 9.7399e-04 3.8644e-01 5.9332e-01 5.3177e-01
-2.7445e-01 3.2268e-01 9.2290e-01 2.3156e-01 7.1104e-01 9.2437e-01
-
->> B=rand(4,7)
-
-B =
-
-0.079781 0.055839 0.746626 0.948944 0.065842 0.750814 0.852608
-0.455608 0.987677 0.460268 0.265391 0.114100 0.444009 0.580352
-0.410006 0.762842 0.306572 0.292280 0.359641 0.948953 0.884154
-0.868862 0.463408 0.703305 0.750799 0.551636 0.202557 0.828586
-
->> C = 4:27
->> C =
-
-Columns 1 through 23:
-
-    4    5    6    7    8    9   10   11   12   13   14   15   16   17   18   19   20   21   22   23   24   25   26
-
->> H='This is a symbols vector'
-
->>H = This is a symbols vector
-
->> warning('off','all')
-
->> L=[-2+23.1j, 3-5.6j]
->> L =
-
--2.0000 + 23.1000i 3.0000 - 5.6000i
-
-#2. Преобразования матриц
-
->> 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 =
-
-0.6997 0.4237 1.1601 0.7597 1.1332 1.4113
-0.9307 0.3669 1.1831 1.2274 1.2913 1.6198
-0.9793 0.8929 1.1310 0.9238 1.4154 1.5482
-1.1013 1.0342 1.0643 0.8428 1.4871 1.5387
-0.5443 0.2529 0.6073 0.3833 0.7053 0.8223
-1.4645 0.7394 0.6580 1.0443 1.4357 1.4166
-1.6429 1.0432 1.3568 1.3118 1.9774 2.1175
-
->> F=[A,B]
->> F =
-
-Columns 1 through 9:
-
-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
-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
-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
-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
-
-Columns 10 through 13:
-
-9.4894e-01 6.5842e-02 7.5081e-01 8.5261e-01
-2.6539e-01 1.1410e-01 4.4401e-01 5.8035e-01
-2.9228e-01 3.5964e-01 9.4895e-01 8.8415e-01
-7.5080e-01 5.5164e-01 2.0256e-01 8.2859e-01
-
->> G=A.\*D
->> G =
-
-2.5484e+00 6.2745e+00 2.1630e+00 5.7259e+00 1.3770e+01 1.2286e+01
-1.5791e-01 1.4997e+00 9.8011e+00 1.3861e+01 1.0010e+01 1.9166e+01
-5.7950e+00 1.1820e-01 1.3636e-02 6.9558e+00 1.3053e+01 1.3826e+01
-1.9212e+00 3.5495e+00 1.3843e+01 4.3996e+00 1.6354e+01 2.4958e+01
-
->> M=G./4.5
->> M =
-
-5.6632e-01 1.3943e+00 4.8068e-01 1.2724e+00 3.0601e+00 2.7302e+00
-3.5090e-02 3.3327e-01 2.1780e+00 3.0802e+00 2.2244e+00 4.2591e+00
-1.2878e+00 2.6267e-02 3.0302e-03 1.5457e+00 2.9007e+00 3.0725e+00
-4.2692e-01 7.8878e-01 3.0763e+00 9.7769e-01 3.6342e+00 5.5462e+00
-
->> 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
-
-#3. Изучение стандартных математических функций и операций с матрицами
-
->> B1=sqrt(B)
->> B1 =
-
-0.2825 0.2363 0.8641 0.9741 0.2566 0.8665 0.9234
-0.6750 0.9938 0.6784 0.5152 0.3378 0.6663 0.7618
-0.6403 0.8734 0.5537 0.5406 0.5997 0.9741 0.9403
-0.9321 0.6807 0.8386 0.8665 0.7427 0.4501 0.9103
-
->> B2=log(B)
->> B2 =
-
--2.528476 -2.885283 -0.292191 -0.052406 -2.720500 -0.286597 -0.159455
--0.786122 -0.012399 -0.775947 -1.326552 -2.170677 -0.811909 -0.544121
--0.891583 -0.270705 -1.182302 -1.230042 -1.022648 -0.052396 -0.123124
--0.140571 -0.769148 -0.351965 -0.286617 -0.594866 -1.596733 -0.188035
-
->> B3=sin(B)
->> B3 =
-
-0.079696 0.055810 0.679166 0.812801 0.065794 0.682234 0.752999
-0.440009 0.834749 0.444188 0.262286 0.113853 0.429564 0.548318
-0.398615 0.690978 0.301792 0.288137 0.351938 0.812806 0.773379
-0.763595 0.446999 0.646742 0.682223 0.524082 0.201175 0.736976
-
->> k=length(B1)
->> k = 7
-
->> nm=size(B1)
->> nm =
-
-4 7
-
->> elem=numel(B1)
->> elem = 28
-
->> NN=linspace(11.5,34.1,20)
->> NN =
-
-Columns 1 through 13:
-
-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
-
-Columns 14 through 20:
-
-26.963 28.153 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 =
-
-0.2825
-0.9938
-0.5537
-0.8665
-
->> DB=diag(B1D)
->> DB =
-
-Diagonal Matrix
-
-0.2825 0 0 0
-0 0.9938 0 0
-0 0 0.5537 0
-0 0 0 0.8665
-
->> BS1=sort(B)
->> BS1 =
-
-0.079781 0.055839 0.306572 0.265391 0.065842 0.202557 0.580352
-0.410006 0.463408 0.460268 0.292280 0.114100 0.444009 0.828586
-0.455608 0.762842 0.703305 0.750799 0.359641 0.750814 0.852608
-0.868862 0.987677 0.746626 0.948944 0.551636 0.948953 0.884154
-
->> BS2=sortrows(B,2)
->> BS2 =
-
-0.079781 0.055839 0.746626 0.948944 0.065842 0.750814 0.852608
-0.868862 0.463408 0.703305 0.750799 0.551636 0.202557 0.828586
-0.410006 0.762842 0.306572 0.292280 0.359641 0.948953 0.884154
-0.455608 0.987677 0.460268 0.265391 0.114100 0.444009 0.580352
-
->> 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 = 0.5612
-
->> dinv=inv(A*A')
->> dinv =
-
-2.065633 0.179331 -1.155947 -0.930132
-0.179331 2.239819 -0.101288 -1.894903
--1.155947 -0.101288 1.595099 0.027661
--0.930132 -1.894903 0.027661 2.564475
-
-#4. Изучение индексации в матрицах
-
->> 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
-
-#
-5. Изучение управляющих конструкций
-
->> 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>>
-
-#6. Изучение графических функций и их вывод
-
-graphics_toolkit('gnuplot')
-
-plot(D(1,:),B([2,4],1:6))
-
-```
diff --git a/ТЕМА2/otchet.md b/ТЕМА2/otchet.md
new file mode 100644
index 0000000..197ae43
--- /dev/null
+++ b/ТЕМА2/otchet.md
@@ -0,0 +1,155 @@
+## Отчет по теме 2
+
+Рознатовский Т.А, А-03-24
+
+## 1. Настройка каталога
+
+Установил в качестве текущей папки ТЕМА2:
+
+![](figure0.png)
+
+## 2. Выполнение команд
+
+Загрузка данных из текстового файла в матрицу:
+
+```matlab
+>> XX=load('dan_vuz.txt');
+```
+
+Размерность:
+
+```matlab
+>> size(XX)
+
+ans =
+&nbsp;  290    15
+```
+
+Данные о скольких вузах России представлены в этой матрице? - 290
+
+Данные о показателях результативности:
+
+```matlab
+>> X=XX(:,3:13);
+```
+
+Матрица корреляций между показателями результативности:
+
+```matlab
+>> R=corr(X);
+```
+
+Метод главных компонент, получение собственных значений и собственных векторов от квадратичной формы:
+
+```matlab
+>> [vect,lambda]=eig(X'*X);
+```
+
+Извлечение диагональных элементов матрицы в вектор:
+
+```matlab
+>> Sobst=diag(lambda)
+Sobst =
+
+   2.2947e+01
+   1.9317e+03
+   2.5940e+03
+   3.4573e+03
+```
+
+Вывод собственных значений на экран с заголовком:
+
+```matlab
+>> fprintf('Eigenvalues:\n %f \n',Sobst)
+Eigenvalues:
+22.946585
+Eigenvalues:
+1931.665464
+Eigenvalues:
+2593.979592
+>> fprintf('\n')
+```
+
+Выделения собственного наибольшего значения и вектора:
+
+```matlab
+>> SobMax=Sobst(end)
+SobMax = 7.4946e+06
+>> GlComp=vect(:,end)
+GlComp =
+
+   3.5306e-02
+   4.6772e-02
+   4.8953e-02
+```
+
+Доля информации в главной компоненте:
+
+```matlab
+> Delt=100*SobMax/sum(Sobst)
+Delt = 95.273
+>> fprintf('Delta= %d \n ',round(Delt))
+Delta= 95
+```
+
+Вектор оценки обобщенной результативности для каждого ВУЗа:
+
+```matlab
+ >> Res=X*GlComp
+Res =
+
+   9.2542e+01
+   7.3433e+01
+   5.8855e+00
+```
+
+Вывод таблицы результатов:
+
+```matlab
+>> fprintf(' Results \n ')
+ Results
+ >> fprintf('%d  %f \n ',[XX(:,1),Res] ')
+197  92.541636
+ 198  73.432513
+ 199  5.885468
+ 200  35.300393
+```
+
+Сохранение вектора оценок в бинарном файле:
+
+```matlab
+>> save res.mat Res -mat
+```
+
+Построение гистограммы:
+
+```matlab
+>> hist(Res,20)
+
+![](Hist.jpg)
+```
+
+Обозначение осей и повторный вывод:
+
+```matlab
+>> hist(Res,20)
+>> xlabel('Results ')
+>> ylabel('Number of Unis ')
+```
+
+![](Hist1.jpg)
+
+Сохранение гистограммы:
+
+```matlab
+>> saveas(gcf, 'Hist.jpg ', 'jpg ')
+```
+
+Расчет оценки коререляции:
+
+```matlab
+> CorFin=corr(Res,XX(:,2))
+CorFin = 0.8437
+>> fprintf('Correlation of Results and Money = %f \n',CorFin)
+Correlation of Results and Money = 0.843710
+```
diff --git a/ТЕМА2/Hist.jpg b/тема 2 материалы/Hist.jpg
similarity index 100%
rename from ТЕМА2/Hist.jpg
rename to тема 2 материалы/Hist.jpg
diff --git a/ТЕМА2/Hist1.jpg b/тема 2 материалы/Hist1.jpg
similarity index 100%
rename from ТЕМА2/Hist1.jpg
rename to тема 2 материалы/Hist1.jpg
diff --git a/тема 2 материалы/figure0.png b/тема 2 материалы/figure0.png
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diff --git a/тема 2 материалы/otchet.md b/тема 2 материалы/otchet.md
new file mode 100644
index 0000000..3e707de
--- /dev/null
+++ b/тема 2 материалы/otchet.md	
@@ -0,0 +1,8 @@
+## Отчет по теме 2
+
+Рознатовский Т.А, А-03-24
+
+## 1. Настройка каталога
+
+Установил в качестве текущей папки ТЕМА2:
+
diff --git a/тема 2 материалы/prtcl.txt b/тема 2 материалы/prtcl.txt
new file mode 100644
index 0000000..0364abf
--- /dev/null
+++ b/тема 2 материалы/prtcl.txt	
@@ -0,0 +1,316 @@
+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 
+
+Delta= 95 
+  Results 
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+ 168  6.898371 
+ 170  3.416283 
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+ 173  3.563165 
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+ 175  0.000000 
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+ 190  18.314164 
+ 191  32.846011 
+ 192  14.511067 
+ 193  19.235467 
+ 194  0.000000 
+ Correlation of Results and Money = 0.843710 
diff --git a/тема 2 материалы/res.mat b/тема 2 материалы/res.mat
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diff --git a/тема 2 материалы/scenario.m b/тема 2 материалы/scenario.m
new file mode 100644
index 0000000..b0fb641
--- /dev/null
+++ b/тема 2 материалы/scenario.m	
@@ -0,0 +1,24 @@
+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(fp,'Delta= %d \n ',round(Delt));
+Res=X*GlComp;
+fprintf(fp,' Results \n ');
+fprintf(fp,'%d  %f \n ',[XX(:,1),Res] ');
+save res.mat1 Res -mat;
+hist(Res,20);
+xlabel('Results ');
+ylabel('Number of Unis ');
+saveas(gcf, 'Hist1.jpg ', 'jpg ');
+CorFin=corr(Res,XX(:,2));
+fprintf(fp,'Correlation of Results and Money = %f \n',CorFin);
+fclose(fp)