diff --git a/ТЕМА1/Progl.m b/ТЕМА1/Progl.m new file mode 100644 index 0000000..3089023 --- /dev/null +++ b/ТЕМА1/Progl.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]) diff --git a/ТЕМА1/assets/скриншты.odt b/ТЕМА1/assets/скриншты.odt new file mode 100644 index 0000000..a42340b Binary files /dev/null and b/ТЕМА1/assets/скриншты.odt differ diff --git a/ТЕМА1/imagine/bar.png b/ТЕМА1/imagine/bar.png new file mode 100644 index 0000000..9ae757f Binary files /dev/null and b/ТЕМА1/imagine/bar.png differ diff --git a/ТЕМА1/imagine/hist.png b/ТЕМА1/imagine/hist.png new file mode 100644 index 0000000..50e7f69 Binary files /dev/null and b/ТЕМА1/imagine/hist.png differ diff --git a/ТЕМА1/imagine/pie.png b/ТЕМА1/imagine/pie.png new file mode 100644 index 0000000..150ebd9 Binary files /dev/null and b/ТЕМА1/imagine/pie.png differ diff --git a/ТЕМА1/imagine/plot.png b/ТЕМА1/imagine/plot.png new file mode 100644 index 0000000..fc1e6ec Binary files /dev/null and b/ТЕМА1/imagine/plot.png differ diff --git a/ТЕМА1/report.md b/ТЕМА1/report.md index e69de29..0b3fc74 100644 --- a/ТЕМА1/report.md +++ b/ТЕМА1/report.md @@ -0,0 +1,362 @@ +##пункт 5 +help randn +'randn' is a built-in function from the file libinterp/corefcn/rand.cc + + -- X = randn (N) + -- X = randn (M, N, ...) + -- X = randn ([M N ...]) + -- X = randn (..., "single") + -- X = randn (..., "double") + -- V = randn ("state") + -- randn ("state", V) + -- randn ("state", "reset") + -- V = randn ("seed") + -- randn ("seed", V) + -- randn ("seed", "reset") + Return a matrix with normally distributed random elements having + zero mean and variance one. + + The arguments are handled the same as the arguments for 'rand'. + + +##пункт 6 + +>> A=randn(4,6) +A = + + -1.566040 1.022528 -1.082336 1.060574 -1.166946 -0.040025 + 0.729186 -0.929840 -1.381007 1.147912 0.360731 -1.612832 + -0.481197 -0.439834 1.347738 -0.398764 -0.024576 0.636071 + -0.607566 0.069257 0.057204 -1.166324 -1.470205 -1.034399 + +>> B=rand(4,7) +B = + + 0.344256 0.014810 0.424571 0.078178 0.264139 0.781169 0.804127 + 0.992425 0.465993 0.834274 0.087590 0.053326 0.580783 0.025481 + 0.196239 0.896082 0.504587 0.599906 0.332032 0.145209 0.696585 + 0.581111 0.135927 0.371084 0.824356 0.089142 0.096275 0.830373 +>> 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 + + Column 24: + + 27 + +>> H='This is a symbols vector' +H = This is a symbols vector +>> L=[-2+23.1j, 3-5.6j] +L = + + -2.0000 + 23.1000i 3.0000 - 5.6000i + +##пункт 7 +преобразование матрицы С в матрицу с 6 столбцами +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 +матричное перемножение В и А с транспонированием матрицы В +E=B'*A +E = + + -0.262949 -0.616852 -1.445425 0.748308 -0.902905 -2.090672 + -0.197173 -0.802869 0.555891 0.034765 -0.071047 -0.322792 + -0.524818 -0.537841 -0.910387 0.773946 -0.752473 -1.425434 + -0.848085 -0.208271 0.650095 -1.017228 -1.286349 -0.615527 + -0.588700 0.080639 0.093061 0.104981 -0.428217 0.022409 + -0.928210 0.201532 -1.446341 1.324983 -0.847188 -0.975195 + -2.080416 0.549677 0.080791 -0.364171 -2.167119 -0.489140 +создание матрицы путем «горизонтального» соединения матриц А и В +F=[A,B] +F = + + Columns 1 through 10: + + -1.566040 1.022528 -1.082336 1.060574 -1.166946 -0.040025 0.344256 0.014810 0.424571 0.078178 + 0.729186 -0.929840 -1.381007 1.147912 0.360731 -1.612832 0.992425 0.465993 0.834274 0.087590 + -0.481197 -0.439834 1.347738 -0.398764 -0.024576 0.636071 0.196239 0.896082 0.504587 0.599906 + -0.607566 0.069257 0.057204 -1.166324 -1.470205 -1.034399 0.581111 0.135927 0.371084 0.824356 + + Columns 11 through 13: + + 0.264139 0.781169 0.804127 + 0.053326 0.580783 0.025481 + 0.332032 0.145209 0.696585 + 0.089142 0.096275 0.830373 +поэлементное перемножение матриц A и D +G=A.*D +G = + + -6.2642 8.1802 -12.9880 16.9692 -23.3389 -0.9606 + 3.6459 -8.3686 -17.9531 19.5145 7.5754 -40.3208 + -2.8872 -4.3983 18.8683 -7.1778 -0.5407 16.5379 + -4.2530 0.7618 0.8581 -22.1602 -33.8147 -27.9288 +поэлементное деление элементов матрицы G на 4.5 + M = G./4.5 +M = + + -1.3920 1.8178 -2.8862 3.7709 -5.1864 -0.2135 + 0.8102 -1.8597 -3.9896 4.3366 1.6834 -8.9602 + -0.6416 -0.9774 4.1930 -1.5951 -0.1202 3.6751 + -0.9451 0.1693 0.1907 -4.9245 -7.5144 -6.2064 +поэлементное возведение в степень элементов матрицы D +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 +создание логической матрицы, совпадающей по размерам с D и с элементами по заданному условию +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 +превращение матрицы в вектор-столбец +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 + +##пунк 8 +математические функции: +B1=sqrt(B) +B1 = + + 0.5867 0.1217 0.6516 0.2796 0.5139 0.8838 0.8967 + 0.9962 0.6826 0.9134 0.2960 0.2309 0.7621 0.1596 + 0.4430 0.9466 0.7103 0.7745 0.5762 0.3811 0.8346 + 0.7623 0.3687 0.6092 0.9079 0.2986 0.3103 0.9112 + +>> B2=log(B) +B2 = + + -1.0664e+00 -4.2125e+00 -8.5668e-01 -2.5488e+00 -1.3313e+00 -2.4696e-01 -2.1800e-01 + -7.6041e-03 -7.6358e-01 -1.8119e-01 -2.4351e+00 -2.9313e+00 -5.4338e-01 -3.6698e+00 + -1.6284e+00 -1.0972e-01 -6.8401e-01 -5.1098e-01 -1.1025e+00 -1.9296e+00 -3.6156e-01 + -5.4281e-01 -1.9956e+00 -9.9133e-01 -1.9315e-01 -2.4175e+00 -2.3405e+00 -1.8588e-01 + +>> B3=sin(B) +B3 = + + 0.337496 0.014809 0.411930 0.078099 0.261078 0.704110 0.720225 + 0.837354 0.449310 0.740809 0.087478 0.053301 0.548679 0.025478 + 0.194982 0.780886 0.483446 0.564565 0.325965 0.144699 0.641602 + 0.548953 0.135509 0.362626 0.734111 0.089024 0.096126 0.738183 +операции с матрицами +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 = + + 0.5867 + 0.6826 + 0.7103 + 0.9079 + +>> DB=diag(B1D) +DB = + +Diagonal Matrix + + 0.5867 0 0 0 + 0 0.6826 0 0 + 0 0 0.7103 0 + 0 0 0 0.9079 + +>> BS1=sort(B) +BS1 = + + 0.196239 0.014810 0.371084 0.078178 0.053326 0.096275 0.025481 + 0.344256 0.135927 0.424571 0.087590 0.089142 0.145209 0.696585 + 0.581111 0.465993 0.504587 0.599906 0.264139 0.580783 0.804127 + 0.992425 0.896082 0.834274 0.824356 0.332032 0.781169 0.830373 + +>> BS2=sortrows(B,2) +BS2 = + + 0.344256 0.014810 0.424571 0.078178 0.264139 0.781169 0.804127 + 0.581111 0.135927 0.371084 0.824356 0.089142 0.096275 0.830373 + 0.992425 0.465993 0.834274 0.087590 0.053326 0.580783 0.025481 + 0.196239 0.896082 0.504587 0.599906 0.332032 0.145209 0.696585 + +>> 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 = 246.59 +>> dinv=inv(A*A') +dinv = + + 0.192611 0.079161 0.204485 -0.052344 + 0.079161 0.325357 0.425809 0.012347 + 0.204485 0.425809 0.973266 -0.029157 + -0.052344 0.012347 -0.029157 0.219869 + +##пункт 9 +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 +##пункт 10 +цикл по перечислению +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 +цикл пока выполняется условие +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 +условие if +if (D(3,5)>=20) +printf('D(3,5)>=20') +else +printf('D(3,5)<20') +endif +D(3,5)>=20