diff --git a/ТЕМА1/obsh_kontr_zadacha.txt b/ТЕМА1/obsh_kontr_zadacha.txt index d13d918..d756dbc 100644 --- a/ТЕМА1/obsh_kontr_zadacha.txt +++ b/ТЕМА1/obsh_kontr_zadacha.txt @@ -10,21 +10,24 @@ ```matlab >> MM=10+8*randn(5,7) +MM = + Columns 1 through 6: - 14.8642 7.4601 12.2168 15.0113 0.7529 1.8696 - 13.5325 -3.7030 22.1122 10.5911 -0.2105 4.3722 - 8.6750 19.5822 -5.7484 -0.8421 9.9208 3.5310 - 3.9887 9.2919 16.1372 6.8814 11.2805 11.6426 - 3.7120 4.0130 12.4511 6.7468 15.6227 2.7674 + 21.0733 7.4324 25.9987 10.3707 -1.2706 5.8837 + 8.9596 10.0902 -1.8820 4.9925 9.7364 5.8823 + 18.8900 16.8041 10.5948 8.7071 15.4977 12.1647 + 11.9080 2.7104 7.6717 10.5692 24.7877 11.2199 + 8.8706 8.4180 18.9513 9.7185 5.4931 14.1572 Column 7: - -1.5336 - 17.0036 - 0.2230 - 6.5276 - 10.8773 + 11.8809 + -1.0811 + 14.5002 + 5.2272 + 15.3824 + ``` ## Задание 2 @@ -34,15 +37,14 @@ ## Решение ```matlab ->> DS1=sum(MM) -DS1 = +>> X=sum(MM) +X = - 44.772 36.644 57.169 38.388 37.366 24.183 33.098 + 69.702 45.455 61.334 44.358 54.244 49.308 45.910 ->> DS2=sum(DS1) -DS2 = 271.62 ->> SR=sum(DS1)/35 -SR = 7.7606 +>> SR=sum(X)/35 +SR = 10.580 +>> ``` ## Задание 3 @@ -52,295 +54,33 @@ SR = 7.7606 ## Решение ```matlab - for i=1:5 - for j=1:7 - if (MM(i,j)>(SR+8)) - MM(i,j)=SR+8 - else - MM(i,j)=SR-8 - endif - endfor - endfor +>> SRM=MM<=SR-8 +SRM = + + 0 0 0 0 1 0 0 + 0 0 1 0 0 0 1 + 0 0 0 0 0 0 0 + 0 0 0 0 0 0 0 + 0 0 0 0 0 0 0 + +>> MM(SRM)=SR-8 MM = - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 1.8696 -1.5336 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 4.3722 17.0036 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 3.5310 0.2230 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 11.6426 6.5276 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 + Columns 1 through 6: -MM = + 18.5803 7.4324 18.5803 10.3707 2.5803 5.8837 + 8.9596 10.0902 2.5803 4.9925 9.7364 5.8823 + 18.5803 16.8041 10.5948 8.7071 15.4977 12.1647 + 11.9080 2.7104 7.6717 10.5692 18.5803 11.2199 + 8.8706 8.4180 18.5803 9.7185 5.4931 14.1572 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 1.8696 -1.5336 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 4.3722 17.0036 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 3.5310 0.2230 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 11.6426 6.5276 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 1.8696 -1.5336 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 4.3722 17.0036 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 3.5310 0.2230 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 11.6426 6.5276 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 1.8696 -1.5336 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 4.3722 17.0036 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 3.5310 0.2230 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 11.6426 6.5276 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 1.8696 -1.5336 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 4.3722 17.0036 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 3.5310 0.2230 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 11.6426 6.5276 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -1.5336 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 4.3722 17.0036 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 3.5310 0.2230 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 11.6426 6.5276 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 4.3722 17.0036 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 3.5310 0.2230 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 11.6426 6.5276 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 4.3722 17.0036 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 3.5310 0.2230 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 11.6426 6.5276 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 4.3722 17.0036 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 3.5310 0.2230 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 11.6426 6.5276 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 4.3722 17.0036 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 3.5310 0.2230 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 11.6426 6.5276 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 4.3722 17.0036 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 3.5310 0.2230 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 11.6426 6.5276 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 4.3722 17.0036 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 3.5310 0.2230 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 11.6426 6.5276 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 17.0036 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 3.5310 0.2230 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 11.6426 6.5276 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 15.7606 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 3.5310 0.2230 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 11.6426 6.5276 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 15.7606 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 3.5310 0.2230 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 11.6426 6.5276 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 15.7606 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 3.5310 0.2230 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 11.6426 6.5276 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 15.7606 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 3.5310 0.2230 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 11.6426 6.5276 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 15.7606 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 3.5310 0.2230 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 11.6426 6.5276 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 15.7606 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 3.5310 0.2230 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 11.6426 6.5276 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 15.7606 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 0.2230 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 11.6426 6.5276 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 15.7606 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 11.6426 6.5276 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 15.7606 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 11.6426 6.5276 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 15.7606 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 11.6426 6.5276 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 15.7606 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 11.6426 6.5276 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 15.7606 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 11.6426 6.5276 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 15.7606 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 11.6426 6.5276 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 15.7606 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 6.5276 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 15.7606 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 15.7606 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 15.7606 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 15.7606 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 15.7606 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 15.7606 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 2.7674 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 15.7606 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 10.8773 - -MM = - - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 15.7606 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 - -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 -0.2394 + Column 7: + 11.8809 + 2.5803 + 14.5002 + 5.2272 + 15.3824 ``` ## Задание 4 @@ -350,46 +90,88 @@ MM = ## Решение ```matlab ->> MMC=sort(Dstolb=MM(:)) +>> MMC=MM(:) MMC = - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - -0.2394 - 15.7606 ->> MMC(18) -ans = -0.2394 + 18.5803 + 8.9596 + 18.5803 + 11.9080 + 8.8706 + 7.4324 + 10.0902 + 16.8041 + 2.7104 + 8.4180 + 18.5803 + 2.5803 + 10.5948 + 7.6717 + 18.5803 + 10.3707 + 4.9925 + 8.7071 + 10.5692 + 9.7185 + 2.5803 + 9.7364 + 15.4977 + 18.5803 + 5.4931 + 5.8837 + 5.8823 + 12.1647 + 11.2199 + 14.1572 + 11.8809 + 2.5803 + 14.5002 + 5.2272 + 15.3824 + +>> MMC=sort(MMC) +MMC = + + 2.5803 + 2.5803 + 2.5803 + 2.7104 + 4.9925 + 5.2272 + 5.4931 + 5.8823 + 5.8837 + 7.4324 + 7.6717 + 8.4180 + 8.7071 + 8.8706 + 8.9596 + 9.7185 + 9.7364 + 10.0902 + 10.3707 + 10.5692 + 10.5948 + 11.2199 + 11.8809 + 11.9080 + 12.1647 + 14.1572 + 14.5002 + 15.3824 + 15.4977 + 16.8041 + 18.5803 + 18.5803 + 18.5803 + 18.5803 + 18.5803 + +>> K=35 +K = 35 +>> MMC((K+1)/2) +ans = 10.090 ``` ## Задание 5 @@ -399,639 +181,12 @@ ans = -0.2394 ## Решение ```matlab ->> for i=1:5 -for j=1:7 -MM1(i,j)=log(MM(i,j)) -endfor -endfor +>> MM1=log(MM) MM1 = - Columns 1 through 4: - - -1.4296 + 3.1416i -0.3340 + 0i -0.0614 + 0i 2.0180 + 0i - -0.3926 + 0i 0.0732 + 0i -0.5432 + 0i 0.5582 + 0i - 1.4291 + 0i 1.0221 + 0i -0.4866 + 0i -0.0065 + 0i - -0.7778 + 0i 0.7262 + 0i -1.0978 + 0i 0.9153 + 0i - -0.4102 + 0i 0.2537 + 0i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.1263 + 0i 0.2424 + 0i -1.8967 + 0i - 0.2851 + 0i 0.8428 + 0i -1.6985 + 0i - 0.9017 + 0i -0.6933 + 0i -1.2455 + 0i - 0.3016 + 0i 1.1371 + 0i -1.0383 + 0i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -0.0614 + 0i 2.0180 + 0i - -0.3926 + 0i 0.0732 + 0i -0.5432 + 0i 0.5582 + 0i - 1.4291 + 0i 1.0221 + 0i -0.4866 + 0i -0.0065 + 0i - -0.7778 + 0i 0.7262 + 0i -1.0978 + 0i 0.9153 + 0i - -0.4102 + 0i 0.2537 + 0i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.1263 + 0i 0.2424 + 0i -1.8967 + 0i - 0.2851 + 0i 0.8428 + 0i -1.6985 + 0i - 0.9017 + 0i -0.6933 + 0i -1.2455 + 0i - 0.3016 + 0i 1.1371 + 0i -1.0383 + 0i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i 2.0180 + 0i - -0.3926 + 0i 0.0732 + 0i -0.5432 + 0i 0.5582 + 0i - 1.4291 + 0i 1.0221 + 0i -0.4866 + 0i -0.0065 + 0i - -0.7778 + 0i 0.7262 + 0i -1.0978 + 0i 0.9153 + 0i - -0.4102 + 0i 0.2537 + 0i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.1263 + 0i 0.2424 + 0i -1.8967 + 0i - 0.2851 + 0i 0.8428 + 0i -1.6985 + 0i - 0.9017 + 0i -0.6933 + 0i -1.2455 + 0i - 0.3016 + 0i 1.1371 + 0i -1.0383 + 0i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -0.3926 + 0i 0.0732 + 0i -0.5432 + 0i 0.5582 + 0i - 1.4291 + 0i 1.0221 + 0i -0.4866 + 0i -0.0065 + 0i - -0.7778 + 0i 0.7262 + 0i -1.0978 + 0i 0.9153 + 0i - -0.4102 + 0i 0.2537 + 0i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.1263 + 0i 0.2424 + 0i -1.8967 + 0i - 0.2851 + 0i 0.8428 + 0i -1.6985 + 0i - 0.9017 + 0i -0.6933 + 0i -1.2455 + 0i - 0.3016 + 0i 1.1371 + 0i -1.0383 + 0i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -0.3926 + 0i 0.0732 + 0i -0.5432 + 0i 0.5582 + 0i - 1.4291 + 0i 1.0221 + 0i -0.4866 + 0i -0.0065 + 0i - -0.7778 + 0i 0.7262 + 0i -1.0978 + 0i 0.9153 + 0i - -0.4102 + 0i 0.2537 + 0i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.4296 + 3.1416i 0.2424 + 0i -1.8967 + 0i - 0.2851 + 0i 0.8428 + 0i -1.6985 + 0i - 0.9017 + 0i -0.6933 + 0i -1.2455 + 0i - 0.3016 + 0i 1.1371 + 0i -1.0383 + 0i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -0.3926 + 0i 0.0732 + 0i -0.5432 + 0i 0.5582 + 0i - 1.4291 + 0i 1.0221 + 0i -0.4866 + 0i -0.0065 + 0i - -0.7778 + 0i 0.7262 + 0i -1.0978 + 0i 0.9153 + 0i - -0.4102 + 0i 0.2537 + 0i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.8967 + 0i - 0.2851 + 0i 0.8428 + 0i -1.6985 + 0i - 0.9017 + 0i -0.6933 + 0i -1.2455 + 0i - 0.3016 + 0i 1.1371 + 0i -1.0383 + 0i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -0.3926 + 0i 0.0732 + 0i -0.5432 + 0i 0.5582 + 0i - 1.4291 + 0i 1.0221 + 0i -0.4866 + 0i -0.0065 + 0i - -0.7778 + 0i 0.7262 + 0i -1.0978 + 0i 0.9153 + 0i - -0.4102 + 0i 0.2537 + 0i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - 0.2851 + 0i 0.8428 + 0i -1.6985 + 0i - 0.9017 + 0i -0.6933 + 0i -1.2455 + 0i - 0.3016 + 0i 1.1371 + 0i -1.0383 + 0i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i 0.0732 + 0i -0.5432 + 0i 0.5582 + 0i - 1.4291 + 0i 1.0221 + 0i -0.4866 + 0i -0.0065 + 0i - -0.7778 + 0i 0.7262 + 0i -1.0978 + 0i 0.9153 + 0i - -0.4102 + 0i 0.2537 + 0i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - 0.2851 + 0i 0.8428 + 0i -1.6985 + 0i - 0.9017 + 0i -0.6933 + 0i -1.2455 + 0i - 0.3016 + 0i 1.1371 + 0i -1.0383 + 0i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -0.5432 + 0i 0.5582 + 0i - 1.4291 + 0i 1.0221 + 0i -0.4866 + 0i -0.0065 + 0i - -0.7778 + 0i 0.7262 + 0i -1.0978 + 0i 0.9153 + 0i - -0.4102 + 0i 0.2537 + 0i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - 0.2851 + 0i 0.8428 + 0i -1.6985 + 0i - 0.9017 + 0i -0.6933 + 0i -1.2455 + 0i - 0.3016 + 0i 1.1371 + 0i -1.0383 + 0i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i 0.5582 + 0i - 1.4291 + 0i 1.0221 + 0i -0.4866 + 0i -0.0065 + 0i - -0.7778 + 0i 0.7262 + 0i -1.0978 + 0i 0.9153 + 0i - -0.4102 + 0i 0.2537 + 0i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - 0.2851 + 0i 0.8428 + 0i -1.6985 + 0i - 0.9017 + 0i -0.6933 + 0i -1.2455 + 0i - 0.3016 + 0i 1.1371 + 0i -1.0383 + 0i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - 1.4291 + 0i 1.0221 + 0i -0.4866 + 0i -0.0065 + 0i - -0.7778 + 0i 0.7262 + 0i -1.0978 + 0i 0.9153 + 0i - -0.4102 + 0i 0.2537 + 0i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - 0.2851 + 0i 0.8428 + 0i -1.6985 + 0i - 0.9017 + 0i -0.6933 + 0i -1.2455 + 0i - 0.3016 + 0i 1.1371 + 0i -1.0383 + 0i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - 1.4291 + 0i 1.0221 + 0i -0.4866 + 0i -0.0065 + 0i - -0.7778 + 0i 0.7262 + 0i -1.0978 + 0i 0.9153 + 0i - -0.4102 + 0i 0.2537 + 0i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i 0.8428 + 0i -1.6985 + 0i - 0.9017 + 0i -0.6933 + 0i -1.2455 + 0i - 0.3016 + 0i 1.1371 + 0i -1.0383 + 0i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - 1.4291 + 0i 1.0221 + 0i -0.4866 + 0i -0.0065 + 0i - -0.7778 + 0i 0.7262 + 0i -1.0978 + 0i 0.9153 + 0i - -0.4102 + 0i 0.2537 + 0i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.6985 + 0i - 0.9017 + 0i -0.6933 + 0i -1.2455 + 0i - 0.3016 + 0i 1.1371 + 0i -1.0383 + 0i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - 1.4291 + 0i 1.0221 + 0i -0.4866 + 0i -0.0065 + 0i - -0.7778 + 0i 0.7262 + 0i -1.0978 + 0i 0.9153 + 0i - -0.4102 + 0i 0.2537 + 0i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i 2.7575 + 0i - 0.9017 + 0i -0.6933 + 0i -1.2455 + 0i - 0.3016 + 0i 1.1371 + 0i -1.0383 + 0i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i 1.0221 + 0i -0.4866 + 0i -0.0065 + 0i - -0.7778 + 0i 0.7262 + 0i -1.0978 + 0i 0.9153 + 0i - -0.4102 + 0i 0.2537 + 0i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i 2.7575 + 0i - 0.9017 + 0i -0.6933 + 0i -1.2455 + 0i - 0.3016 + 0i 1.1371 + 0i -1.0383 + 0i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -0.4866 + 0i -0.0065 + 0i - -0.7778 + 0i 0.7262 + 0i -1.0978 + 0i 0.9153 + 0i - -0.4102 + 0i 0.2537 + 0i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i 2.7575 + 0i - 0.9017 + 0i -0.6933 + 0i -1.2455 + 0i - 0.3016 + 0i 1.1371 + 0i -1.0383 + 0i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -0.0065 + 0i - -0.7778 + 0i 0.7262 + 0i -1.0978 + 0i 0.9153 + 0i - -0.4102 + 0i 0.2537 + 0i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i 2.7575 + 0i - 0.9017 + 0i -0.6933 + 0i -1.2455 + 0i - 0.3016 + 0i 1.1371 + 0i -1.0383 + 0i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -0.7778 + 0i 0.7262 + 0i -1.0978 + 0i 0.9153 + 0i - -0.4102 + 0i 0.2537 + 0i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i 2.7575 + 0i - 0.9017 + 0i -0.6933 + 0i -1.2455 + 0i - 0.3016 + 0i 1.1371 + 0i -1.0383 + 0i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -0.7778 + 0i 0.7262 + 0i -1.0978 + 0i 0.9153 + 0i - -0.4102 + 0i 0.2537 + 0i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i 2.7575 + 0i - -1.4296 + 3.1416i -0.6933 + 0i -1.2455 + 0i - 0.3016 + 0i 1.1371 + 0i -1.0383 + 0i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -0.7778 + 0i 0.7262 + 0i -1.0978 + 0i 0.9153 + 0i - -0.4102 + 0i 0.2537 + 0i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i 2.7575 + 0i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.2455 + 0i - 0.3016 + 0i 1.1371 + 0i -1.0383 + 0i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -0.7778 + 0i 0.7262 + 0i -1.0978 + 0i 0.9153 + 0i - -0.4102 + 0i 0.2537 + 0i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i 2.7575 + 0i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - 0.3016 + 0i 1.1371 + 0i -1.0383 + 0i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i 0.7262 + 0i -1.0978 + 0i 0.9153 + 0i - -0.4102 + 0i 0.2537 + 0i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i 2.7575 + 0i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - 0.3016 + 0i 1.1371 + 0i -1.0383 + 0i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.0978 + 0i 0.9153 + 0i - -0.4102 + 0i 0.2537 + 0i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i 2.7575 + 0i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - 0.3016 + 0i 1.1371 + 0i -1.0383 + 0i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i 0.9153 + 0i - -0.4102 + 0i 0.2537 + 0i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i 2.7575 + 0i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - 0.3016 + 0i 1.1371 + 0i -1.0383 + 0i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -0.4102 + 0i 0.2537 + 0i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i 2.7575 + 0i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - 0.3016 + 0i 1.1371 + 0i -1.0383 + 0i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -0.4102 + 0i 0.2537 + 0i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i 2.7575 + 0i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i 1.1371 + 0i -1.0383 + 0i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -0.4102 + 0i 0.2537 + 0i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i 2.7575 + 0i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.0383 + 0i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -0.4102 + 0i 0.2537 + 0i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i 2.7575 + 0i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i 0.2537 + 0i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i 2.7575 + 0i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.5352 + 0i 1.7928 + 0i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i 2.7575 + 0i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i 1.7928 + 0i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i 2.7575 + 0i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i 2.7575 + 0i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - 0.9389 + 0i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i 2.7575 + 0i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i 0.3948 + 0i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i 2.7575 + 0i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i 0.3972 + 0i - -MM1 = - - Columns 1 through 4: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - - Columns 5 through 7: - - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i 2.7575 + 0i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - -1.4296 + 3.1416i -1.4296 + 3.1416i -1.4296 + 3.1416i - + 1.9991 1.4551 1.6289 3.0099 3.0099 1.4551 2.0396 + 3.0099 1.4551 1.6575 2.5780 2.0010 2.6258 1.9976 + 3.0099 2.8748 2.7596 1.8124 1.4551 2.6539 1.4551 + 2.1185 2.8447 2.2198 1.4551 2.5421 3.0099 2.5747 + 2.8134 2.5002 2.2859 3.0099 1.4551 3.0099 3.0099 ``` \ No newline at end of file diff --git a/ТЕМА1/report.md b/ТЕМА1/report.md index 48f8ae7..0f2a80f 100644 --- a/ТЕМА1/report.md +++ b/ТЕМА1/report.md @@ -209,7 +209,9 @@ Dstolb = ''' ##8 Изучение стандартных функций с матрицей -математические функции: + +Поэлементное взятие корня + '''matlab >> B1=sqrt(B) B1 = @@ -218,7 +220,11 @@ B1 = 0.8791 0.2373 0.6878 0.9365 0.9402 0.7598 0.7263 0.8376 0.5889 0.7027 0.9298 0.8861 0.7002 0.7641 0.9527 0.8440 0.9266 0.5370 0.8164 0.4041 0.7850 +''' +Поэлементное взятие логорифма + +'''matlab >> B2=log(B) B2 = @@ -226,7 +232,11 @@ B2 = -0.257804 -2.876903 -0.748476 -0.131162 -0.123342 -0.549488 -0.639478 -0.354390 -1.059094 -0.705568 -0.145527 -0.241953 -0.712712 -0.538006 -0.096951 -0.339315 -0.152425 -1.243507 -0.405802 -1.812289 -0.484143 +''' +Поэлементное взятие синуса + +'''matlab >> B3=sin(B) B3 = @@ -236,17 +246,33 @@ B3 = 0.788029 0.653544 0.756944 0.284391 0.618193 0.162555 0.577959 ''' -операции с матрицами +Операции с матрицами +Количество столбцов матрицы + '''matlab >> k=length(B1) k = 7 +''' + +Количество строк и столбцов матрицы + +'''matlab >> nm=size(B1) nm = 4 7 +''' +Количество элементов матрицы + +'''matlab >> elem=numel(B1) elem = 28 +''' + +Генерация вектора из 20 линейно расположенных точек между указанными значениями + +'''matlab >> NN=linspace(11.5,34.1,20) NN = @@ -261,13 +287,21 @@ NN = Columns 19 and 20: 32.911 34.100 +''' +Генерация матрицы из единиц + +'''matlab >> FF=ones(2,4) FF = 1 1 1 1 1 1 1 1 +''' +Генерация квадратной матрицы из нулей + +'''matlab >> GG=zeros(5) GG = @@ -276,7 +310,11 @@ GG = 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +''' +Формирование столбца из значений диагонали матрицы + +'''matlab >> B1D=diag(B1) B1D = @@ -284,7 +322,11 @@ B1D = 0.2373 0.7027 0.5370 +''' +Формирование матрицы с указанной в векторе диагональю + +'''matlab >> DB=diag(B1D) DB = @@ -294,7 +336,11 @@ Diagonal Matrix 0 0.2373 0 0 0 0 0.7027 0 0 0 0 0.5370 +''' +Сортировка матрицы по столбцам + +'''matlab >> BS1=sort(B) BS1 = @@ -302,7 +348,11 @@ BS1 = 0.772747 0.346770 0.493828 0.864566 0.666442 0.163280 0.527567 0.907601 0.353650 0.804231 0.877076 0.785093 0.490313 0.583912 0.975573 0.712258 0.858624 0.914004 0.883961 0.577245 0.616225 +''' +Сортировка матрицы по строкам + +'''matlab >> BS2=sortrows(B,2) BS2 = @@ -310,12 +360,20 @@ BS2 = 0.701602 0.346770 0.493828 0.864566 0.785093 0.490313 0.583912 0.975573 0.353650 0.804231 0.914004 0.155252 0.087847 0.461159 0.907601 0.712258 0.858624 0.288371 0.666442 0.163280 0.616225 +''' +Суммирование матрицы по столбцам + +'''matlab >> DS1=sum(D) DS1 = 22 38 54 70 86 102 +''' +Суммирование матрицы по строкам. Такие вводные функции означают, что матрица суммируется по второй размерности + +'''matlab >> DS2=sum(D,2) DS2 = @@ -323,14 +381,27 @@ DS2 = 90 96 102 +''' +Произведение элементов по столбцам + +'''matlab >> DP1=prod(D) DP1 = 840 7920 32760 93024 212520 421200 +''' +Определитель произведения матрицы и транспонированной матрицы + +'''matlab >> dt=det(A*A') dt = 1102.5 +''' + +Обратная матрица произведения матрицы и транспонированной матрицы + +'''matlab >> dinv=inv(A*A') dinv = diff --git a/ТЕМА2/Hist.jpg b/ТЕМА2/Hist.jpg new file mode 100644 index 0000000..fb482d6 Binary files /dev/null and b/ТЕМА2/Hist.jpg differ diff --git a/ТЕМА2/Prog1.m b/ТЕМА2/Prog1.m new file mode 100644 index 0000000..7f63b0c --- /dev/null +++ b/ТЕМА2/Prog1.m @@ -0,0 +1,32 @@ +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.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); +MinR=min(Res); +MaxR=max(Res); +MidR=mean(Res); +StdR=std(Res); +fprintf(fp,'Min %f \n',MinR); +fprintf(fp,'Max %f \n',MaxR); +fprintf(fp,'Mid %f \n',MidR); +fprintf(fp,'Std %f',StdR); +fclose(fp); diff --git a/ТЕМА2/assets/point1.png b/ТЕМА2/assets/point1.png new file mode 100644 index 0000000..276160f Binary files /dev/null and b/ТЕМА2/assets/point1.png differ diff --git a/ТЕМА2/assets/point2.png b/ТЕМА2/assets/point2.png new file mode 100644 index 0000000..e1067f3 Binary files /dev/null and b/ТЕМА2/assets/point2.png differ diff --git a/ТЕМА2/assets/point3.png b/ТЕМА2/assets/point3.png new file mode 100644 index 0000000..d87ee2c Binary files /dev/null and b/ТЕМА2/assets/point3.png differ diff --git a/ТЕМА2/assets/point4.png b/ТЕМА2/assets/point4.png new file mode 100644 index 0000000..999ab6c Binary files /dev/null and b/ТЕМА2/assets/point4.png differ diff --git a/ТЕМА2/assets/point5.png b/ТЕМА2/assets/point5.png new file mode 100644 index 0000000..44626c2 Binary files /dev/null and b/ТЕМА2/assets/point5.png differ diff --git a/ТЕМА2/assets/point6.png b/ТЕМА2/assets/point6.png new file mode 100644 index 0000000..f63ae32 Binary files /dev/null and b/ТЕМА2/assets/point6.png differ diff --git a/ТЕМА2/assets/point7.png b/ТЕМА2/assets/point7.png new file mode 100644 index 0000000..24262c2 Binary files /dev/null and b/ТЕМА2/assets/point7.png differ diff --git a/ТЕМА2/assets/point8.png b/ТЕМА2/assets/point8.png new file mode 100644 index 0000000..d0cd9d0 Binary files /dev/null and b/ТЕМА2/assets/point8.png differ diff --git a/ТЕМА2/prtcl.txt b/ТЕМА2/prtcl.txt new file mode 100644 index 0000000..63e1cfd --- /dev/null +++ b/ТЕМА2/prtcl.txt @@ -0,0 +1,320 @@ +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 + 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 + 96 48.085148 + 97 5.347890 + 99 2.124571 + 100 0.082078 + 101 21.635603 + 102 52.057076 + 103 25.625192 + 104 9.750228 + 105 36.202865 + 107 4.626653 + 108 3.190574 + 109 9.578291 + 110 6.374896 + 111 3.684453 + 112 5.784829 + 113 8.236760 + 114 6.872598 + 115 41.304826 + 116 1.988474 + 118 7.571316 + 119 1.231125 + 120 5.081094 + 121 21.547440 + 122 30.299927 + 123 45.503740 + 124 9.093912 + 132 10.369658 + 133 7.125935 + 134 14.133228 + 135 26.102416 + 136 5.071976 + 137 12.085286 + 138 0.713469 + 139 0.675086 + 140 4.092547 + 141 7.454102 + 142 184.663991 + 143 10.455368 + 144 7.448129 + 146 6.242521 + 147 8.860180 + 148 39.991951 + 149 6.891026 + 150 5.160709 + 151 15.489599 + 152 5.590467 + 153 27.378151 + 154 10.801195 + 162 23.750968 + 166 11.426264 + 167 8.473236 + 168 6.898371 + 170 3.416283 + 171 208.746883 + 172 12.158394 + 173 3.563165 + 174 4.158866 + 175 0.000000 + 176 1.847873 + 177 8.478820 + 178 1.277897 + 179 0.035306 + 180 0.070611 + 181 0.035306 + 182 3.039279 + 183 0.000000 + 184 4.205715 + 185 30.094936 + 186 20.128055 + 187 5.773718 + 188 31.539990 + 189 147.387148 + 190 18.314164 + 191 32.846011 + 192 14.511067 + 193 19.235467 + 194 0.000000 + Correlation of Results and Money = 0.843710 +Min 0.000000 +Max 1898.884523 +Mid 67.928804 +Std 145.954386 \ No newline at end of file diff --git a/ТЕМА2/report.md b/ТЕМА2/report.md new file mode 100644 index 0000000..166d8e9 --- /dev/null +++ b/ТЕМА2/report.md @@ -0,0 +1,738 @@ + # Отчёт TEMA 1 +##1 + +##2 +Считываем данные с файла +'''matlab +>> XX=load("dan_vuz.txt") +XX = + + Columns 1 through 3: + + 1.9700e+02 1.3717e+06 8.0000e+00 + 1.9800e+02 7.3820e+05 4.0000e+00 + 1.9900e+02 2.4167e+05 1.0000e+00 + 2.0000e+02 6.1990e+05 3.0000e+00 + 2.0100e+02 1.7553e+06 7.0000e+00 + 2.0200e+02 5.7215e+05 0 + 2.0300e+02 1.4322e+06 0 + 2.0400e+02 1.3277e+06 5.0000e+00 + 2.0500e+02 4.9080e+05 7.0000e+00 + 2.0600e+02 6.3472e+05 1.0000e+00 + 2.0700e+02 7.4157e+05 8.0000e+00 + 2.0800e+02 1.2874e+06 9.0000e+00 + 2.0900e+02 8.2497e+05 5.0000e+00 + 2.1000e+02 2.1060e+05 1.0000e+00 + 2.1100e+02 3.1755e+06 2.0000e+00 + 2.1200e+02 1.2958e+05 1.0000e+00 + 2.1300e+02 5.2322e+06 2.0000e+00 + ... +''' + +Проверяем размерность матрицы XX +'''matlab +>> size(XX) +ans = + + 290 15 +''' + +Выделяем в отдельну матрицу данные столбцов с 3 по 13 +'''matlab +>> X=XX(:,3:13) +X = + + Columns 1 through 6: + + 8 4 2 53 7 76 + 4 5 6 71 5 36 + 1 0 1 5 5 2 + 3 1 1 28 0 24 + 7 10 6 54 7 46 + 0 2 2 22 7 17 + 0 6 11 30 8 88 + 5 2 0 78 3 40 + 7 0 0 20 0 30 + 1 1 1 12 3 13 + 8 4 3 33 1 37 + 9 5 6 24 8 36 + 5 5 4 57 7 56 + 1 4 0 7 0 1 + 2 8 0 83 6 70 + 1 0 0 0 0 6 + 2 28 8 326 76 213 + 1 1 1 42 2 0 + 1 0 0 13 0 0 + 3 2 2 76 8 92 + 0 1 0 7 1 7 + 7 2 1 70 0 23 + 3 0 0 11 0 3 + ... +''' + +Рассчитаkb матрицу корреляций между показателями результативности +'''matlab +>> R=corr(X) +R = + + Columns 1 through 3: + + 1.0000e+00 4.4320e-01 4.5229e-01 + 4.4320e-01 1.0000e+00 8.5319e-01 + 4.5229e-01 8.5319e-01 1.0000e+00 + 4.4779e-01 8.5331e-01 8.4660e-01 + 3.8123e-01 8.6240e-01 8.8651e-01 + 4.6516e-01 8.5436e-01 9.0335e-01 + 3.1487e-01 5.5145e-01 5.5091e-01 + 6.5579e-02 2.5082e-02 3.8840e-03 + 2.9153e-01 4.2348e-01 4.4396e-01 + 4.8811e-01 8.2170e-01 7.8358e-01 + 3.9815e-01 2.6183e-01 2.6408e-01 + + Columns 4 through 6: + + 4.4779e-01 3.8123e-01 4.6516e-01 + 8.5331e-01 8.6240e-01 8.5436e-01 + 8.4660e-01 8.8651e-01 9.0335e-01 + 1.0000e+00 8.7038e-01 9.3849e-01 + 8.7038e-01 1.0000e+00 9.3605e-01 + 9.3849e-01 9.3605e-01 1.0000e+00 + 7.0924e-01 5.7668e-01 6.3033e-01 + 4.9500e-02 3.7562e-02 4.7121e-02 + 4.5873e-01 3.8322e-01 4.7592e-01 + 8.5183e-01 7.7266e-01 8.3810e-01 + 3.4420e-01 1.8751e-01 3.3118e-01 + + Columns 7 through 9: + + 3.1487e-01 6.5579e-02 2.9153e-01 + 5.5145e-01 2.5082e-02 4.2348e-01 + 5.5091e-01 3.8840e-03 4.4396e-01 + 7.0924e-01 4.9500e-02 4.5873e-01 + 5.7668e-01 3.7562e-02 3.8322e-01 + 6.3033e-01 4.7121e-02 4.7592e-01 + 1.0000e+00 7.9448e-02 4.1878e-01 + 7.9448e-02 1.0000e+00 4.7985e-02 + 4.1878e-01 4.7985e-02 1.0000e+00 + 6.2936e-01 5.6462e-02 6.2616e-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 +''' + +'''matlab +>> [vect,lambda]=eig(X'*X) +vect = + + Columns 1 through 3: + + 1.3928e-03 3.7187e-02 -6.5276e-02 + -8.0998e-04 6.0909e-01 3.8181e-01 + -7.5396e-03 -4.5900e-01 -5.2153e-01 + -1.5197e-04 -2.3868e-03 -3.9384e-02 + 1.0985e-03 -2.1296e-02 -1.7772e-02 + 4.6341e-05 2.4446e-02 3.4514e-02 + 1.1860e-03 4.2558e-03 2.3496e-02 + -9.9994e-01 5.6340e-04 6.5198e-03 + -1.6282e-03 4.6826e-01 -6.5978e-01 + 1.7002e-03 -4.2581e-01 3.3001e-01 + 7.7010e-03 -1.2368e-01 1.7350e-01 + + Columns 4 through 6: + + 1.1402e-01 -5.7482e-02 -4.3369e-01 + -5.6588e-01 -2.6231e-01 2.2396e-01 + -6.7233e-01 -1.9752e-01 9.4377e-02 + 2.0471e-02 2.9085e-02 -4.2879e-02 + 1.0189e-01 1.5147e-01 2.9246e-02 + 6.8266e-03 -2.8773e-02 -3.6347e-02 + -4.8185e-02 -1.5673e-02 -5.8142e-02 + 4.0470e-03 7.5475e-03 1.2608e-03 + 2.6872e-01 2.8869e-02 4.9535e-01 + 2.8074e-01 -3.9004e-01 6.2610e-01 + -2.2481e-01 8.4320e-01 3.2876e-01 + + Columns 7 through 9: + + -8.6174e-01 1.8078e-02 -2.0942e-01 + -1.8894e-01 -2.6535e-02 7.3599e-02 + -1.1098e-01 -3.7697e-03 2.9602e-02 + 3.9810e-02 -2.5705e-01 1.7315e-01 + -2.2268e-01 9.3732e-02 8.4203e-01 + 1.2360e-01 5.5571e-02 -4.0806e-01 + 5.8108e-02 9.5701e-01 5.2365e-03 + -2.3724e-03 1.4645e-03 -1.0271e-03 + -1.2025e-01 5.8771e-02 -9.1452e-02 + -2.7487e-01 3.6416e-02 -5.9676e-02 + -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 3: + + 2.2947e+01 0 0 + 0 1.9317e+03 0 + 0 0 2.5940e+03 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + + Columns 4 through 6: + + 0 0 0 + 0 0 0 + 0 0 0 + 3.4573e+03 0 0 + 0 5.6252e+03 0 + 0 0 8.6721e+03 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + + Columns 7 through 9: + + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 0 0 0 + 1.8915e+04 0 0 + 0 4.7523e+04 0 + 0 0 5.7484e+04 + 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 +''' + +'''matlab +>> Sobst=diag(lambda) +Sobst = + + 2.2947e+01 + 1.9317e+03 + 2.5940e+03 + 3.4573e+03 + 5.6252e+03 + 8.6721e+03 + 1.8915e+04 + 4.7523e+04 + 5.7484e+04 + 2.2565e+05 + 7.4946e+06 +''' + +'''matlab +>> 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 +''' +'''matlab +>> 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 +''' + +'''matlab +>> Delt=100*SobMax/sum(Sobst) +Delt = 95.273 +>> fprintf('Delta= %d \n ',round(Delt)) +Delta= 95 +''' + +'''matlab + >> 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 + 211 105.361366 + 212 4.575460 + 213 381.204021 + 214 26.712747 + 216 8.037618 + 217 119.627795 + 218 10.061485 + ... +''' + +'''matlab +>> save res.mat Res -mat +''' + +![Скриншот выбора текущей папки](assets/point1.png) + +'''matlab +>> hist(Res,20) +>> xlabel('Results ') +>> ylabel('Number of Unis ') +''' + +'''matlab +>> saveas(gcf, 'Hist.jpg ', 'jpg ') +''' + +![Скриншот выбора текущей папки](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 + +![Скриншот выбора текущей папки](assets/point3.jpg) + +![Скриншот выбора текущей папки](assets/point4.jpg) + + +##4 + +Поставив после каждой строчки ';' в окне текстового редактора мы предотвращаем вывод нежелательных команд(всех кроме команд fprintf) +''' +>> Prog1 +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 + 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 + 96 48.085148 + 97 5.347890 + 99 2.124571 + 100 0.082078 + 101 21.635603 + 102 52.057076 + 103 25.625192 + 104 9.750228 + 105 36.202865 + 107 4.626653 + 108 3.190574 + 109 9.578291 + 110 6.374896 + 111 3.684453 + 112 5.784829 + 113 8.236760 + 114 6.872598 + 115 41.304826 + 116 1.988474 + 118 7.571316 + 119 1.231125 + 120 5.081094 + 121 21.547440 + 122 30.299927 + 123 45.503740 + 124 9.093912 + 132 10.369658 + 133 7.125935 + 134 14.133228 + 135 26.102416 + 136 5.071976 + 137 12.085286 + 138 0.713469 + 139 0.675086 + 140 4.092547 + 141 7.454102 + 142 184.663991 + 143 10.455368 + 144 7.448129 + 146 6.242521 + 147 8.860180 + 148 39.991951 + 149 6.891026 + 150 5.160709 + 151 15.489599 + 152 5.590467 + 153 27.378151 + 154 10.801195 + 162 23.750968 + 166 11.426264 + 167 8.473236 + 168 6.898371 + 170 3.416283 + 171 208.746883 + 172 12.158394 + 173 3.563165 + 174 4.158866 + 175 0.000000 + 176 1.847873 + 177 8.478820 + 178 1.277897 + 179 0.035306 + 180 0.070611 + 181 0.035306 + 182 3.039279 + 183 0.000000 + 184 4.205715 + 185 30.094936 + 186 20.128055 + 187 5.773718 + 188 31.539990 + 189 147.387148 + 190 18.314164 + 191 32.846011 + 192 14.511067 + 193 19.235467 + 194 0.000000 + Correlation of Results and Money = 0.843710 +''' + +##5 + +![Скриншот выбора текущей папки](assets/point6.png) + +![Скриншот выбора текущей папки](assets/point5.png) + +##6 + +![Скриншот выбора текущей папки](assets/point7.png) + +![Скриншот выбора текущей папки](assets/point8.png) \ No newline at end of file diff --git a/ТЕМА2/res.mat b/ТЕМА2/res.mat new file mode 100644 index 0000000..36c323d Binary files /dev/null and b/ТЕМА2/res.mat differ