In a Jupyter Notebook
- This Jupyter Notebook was written by Lilian Besson.
- It uses the unofficial Octave kernel for Jupyter by @Calysto.
% Some variables
N = 100
disp(['Number of values N =', num2str(N)])
h = 1 / N
disp(['Step h = ', num2str(h)])
N = 100 Number of values N =100 h = 0.010000 Step h = 0.01
% Some arrays
t = 0 : h : 2*pi;
x = cos(t);
y = sin(t);
length(t)
length(x)
length(y)
ans = 629 ans = 629 ans = 629
fig = figure();
plot(t, x, 'r*-')
grid on
hold on
plot(t, y, 'b+-')
legend(['\cos(t)', '\sin(t)'])
title('Cosinus and sinus on [0, 2 \pi]')
% whitebg(fig);
fig = figure();
grid on
plot(x, y)
title('\sin(t) as function of \cos(t)')
% whitebg(fig);
a = [[1 0 1]; [0 1 1]; [1 1 0]]
a = 1 0 1 0 1 1 1 1 0
a'
ans = 1 0 1 0 1 1 1 1 0
b = 1 + a^5
b = 12 11 12 11 12 12 12 12 11
eig
gives the eigen values:
l_a = eig(a)
l_b = eig(b)
l_a = -1.00000 1.00000 2.00000 l_b = -1.00000 1.00000 35.00000
[Ua, Sa, Va] = svd(a)
[Ub, Sb, Vb] = svd(b)
Ua = -5.7735e-01 4.0825e-01 -7.0711e-01 -5.7735e-01 -8.1650e-01 -7.8505e-17 -5.7735e-01 4.0825e-01 7.0711e-01 Sa = Diagonal Matrix 2.00000 0 0 0 1.00000 0 0 0 1.00000 Va = -0.57735 0.81650 -0.00000 -0.57735 -0.40825 0.70711 -0.57735 -0.40825 -0.70711 Ub = -5.7735e-01 4.0825e-01 -7.0711e-01 -5.7735e-01 -8.1650e-01 -1.6098e-15 -5.7735e-01 4.0825e-01 7.0711e-01 Sb = Diagonal Matrix 35.00000 0 0 0 1.00000 0 0 0 1.00000 Vb = -0.57735 0.81650 -0.00000 -0.57735 -0.40825 0.70711 -0.57735 -0.40825 -0.70711
x = linspace(-2, 2, 50);
y = linspace(-2, 2, 50);
[xx,yy] = meshgrid(x, y);
mesh(xx, yy, 4 - (xx.^2 + yy.^2))
x = linspace(-2, 2, 50);
y = linspace(-2, 2, 50);
[xx,yy] = meshgrid(x, y);
meshc(xx, yy, 4 - (xx.^2 + yy.^2))
# From https://octave.sourceforge.io/octave/function/plot3.html
z = [0:0.05:5];
plot3(cos (2*pi*z), sin (2*pi*z), z, ";helix;");
plot3(z, exp (2i*pi*z), ";complex sinusoid;");
clf;
z = [0:0.05:5];
plot3 (cos (2*pi*z), sin (2*pi*z), z);
legend ("helix");
title ("plot3() of a helix");
clf;
colormap ("default");
[X, Y] = meshgrid (linspace (-3, 3, 40));
Z = sqrt (abs (X .* Y)) ./ (1 + X.^2 + Y.^2);
meshc (X, Y, Z);
title ("meshc() combines mesh/contour plots");