Merge branch 'master' of tea.maggioni.xyz:maggicl/OM

This commit is contained in:
Claudio Maggioni (maggicl) 2021-04-10 12:41:52 +02:00
commit fe6d660e32
9 changed files with 1194 additions and 0 deletions

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@ -1,5 +1,6 @@
\documentclass{scrartcl} \documentclass{scrartcl}
\usepackage[utf8]{inputenc} \usepackage[utf8]{inputenc}
\usepackage{float}
\usepackage{graphicx} \usepackage{graphicx}
\usepackage{subcaption} \usepackage{subcaption}
\usepackage{amsmath} \usepackage{amsmath}
@ -99,6 +100,18 @@ use semilogy) as functions of the iterations.}
The solution of this task can be found in Section 1.5 of the script \texttt{main.m}. The solution of this task can be found in Section 1.5 of the script \texttt{main.m}.
\begin{figure}[H]
\begin{subfigure}{0.5\textwidth}
\resizebox{\textwidth}{\textwidth}{\input{obvalues}}
\caption{Objective function values w.r.t. iteration number}
\end{subfigure}
\begin{subfigure}{0.5\textwidth}
\resizebox{\textwidth}{\textwidth}{\input{gnorms}}
\caption{Norm of the gradient w.r.t. iteration number \\ (y-axis is log scaled)}
\end{subfigure}
\caption{Plots for Exercise 1.4.}
\end{figure}
\subsection{Finally, explain why the Conjugate Gradient method is a Krylov subspace method.} \subsection{Finally, explain why the Conjugate Gradient method is a Krylov subspace method.}
Because theorem 5.3 holds, which itself holds mainly because of this (5.10, page 106 [127]): Because theorem 5.3 holds, which itself holds mainly because of this (5.10, page 106 [127]):
@ -131,6 +144,26 @@ and plot it with respect to the number of iteration.}
The solution of this task can be found in section 2.3 of the \texttt{main.m} MATLAB script. The solution of this task can be found in section 2.3 of the \texttt{main.m} MATLAB script.
\begin{figure}[H]
\begin{subfigure}{0.5\textwidth}
\resizebox{\textwidth}{!}{\input{a1}}
\caption{First matrix}
\end{subfigure}
\begin{subfigure}{0.5\textwidth}
\resizebox{\textwidth}{!}{\input{a2}}
\caption{Second matrix}
\end{subfigure}
\begin{subfigure}{0.5\textwidth}
\resizebox{\textwidth}{!}{\input{a3}}
\caption{Third matrix}
\end{subfigure}
\begin{subfigure}{0.5\textwidth}
\resizebox{\textwidth}{!}{\input{a4}}
\caption{Fourth matrix}
\end{subfigure}
\caption{Plots of logarithm energy norm of the error per iteration. Minus infinity logarithms not shown in the plot.}
\end{figure}
\subsection{Comment on the convergence of the method for the different matrices. What can you say observing \subsection{Comment on the convergence of the method for the different matrices. What can you say observing
the number of iterations obtained and the number of clusters of the eigenvalues of the related the number of iterations obtained and the number of clusters of the eigenvalues of the related
matrix?} matrix?}

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461 0.000340675127175451\\
462 0.000327543118842089\\
463 0.000314584264791908\\
464 0.00030180090957059\\
465 0.000289195495589093\\
466 0.000276770570127334\\
467 0.000264528793057209\\
468 0.000252472945386399\\
469 0.00024060593873623\\
470 0.000228930825897021\\
471 0.00021745081260729\\
472 0.000206169270765922\\
473 0.000195089753292042\\
474 0.000184216010914346\\
475 0.000173552011227236\\
476 0.000163101960414044\\
477 0.000152870328142166\\
478 0.000142861876255546\\
479 0.000133081692029448\\
480 0.000123535226978182\\
481 0.000114228342456702\\
482 0.000105167363667044\\
483 9.63591441704975e-05\\
484 8.78111436770309e-05\\
485 7.9531522846157e-05\\
486 7.15292601814999e-05\\
487 6.38142980942563e-05\\
488 5.63977281764285e-05\\
489 4.9292030273616e-05\\
490 4.25113871340903e-05\\
491 3.6072108144126e-05\\
492 2.99932155320352e-05\\
493 2.4297281571859e-05\\
494 1.90116702899788e-05\\
495 1.4170462377942e-05\\
496 9.81758432223143e-06\\
497 6.01201802407357e-06\\
498 2.83409247558248e-06\\
499 4.26545343219991e-16\\
};
\end{axis}
\end{tikzpicture}%

View file

@ -35,11 +35,13 @@ if plots
plot(0:(size(ys,1)-1), ys); plot(0:(size(ys,1)-1), ys);
sgtitle("Objective function values per iteration"); sgtitle("Objective function values per iteration");
axis([-1 500 -inf +inf]); axis([-1 500 -inf +inf]);
%matlab2tikz('showInfo', false, './obvalues.tex');
figure; figure;
semilogy(0:(size(gnorms,1)-1), gnorms); semilogy(0:(size(gnorms,1)-1), gnorms);
sgtitle("Log of gradient norm per iteration"); sgtitle("Log of gradient norm per iteration");
axis([-1 500 -inf +inf]); axis([-1 500 -inf +inf]);
%matlab2tikz('showInfo', false, './gnorms.tex');
end end
%% 2.1 - Matrix definitions %% 2.1 - Matrix definitions
@ -65,12 +67,16 @@ n = 10;
if plots if plots
enl_plot(x1, xs1, A1); enl_plot(x1, xs1, A1);
sgtitle("Log energy norm of the error per iter. (matrix A1)"); sgtitle("Log energy norm of the error per iter. (matrix A1)");
%matlab2tikz('showInfo', false, './a1.tex');
enl_plot(x2, xs2, A2); enl_plot(x2, xs2, A2);
sgtitle("Log energy norm of the error per iter. (matrix A2)"); sgtitle("Log energy norm of the error per iter. (matrix A2)");
%matlab2tikz('showInfo', false, './a2.tex');
enl_plot(x3, xs3, A3) enl_plot(x3, xs3, A3)
sgtitle("Log energy norm of the error per iter. (matrix A3)"); sgtitle("Log energy norm of the error per iter. (matrix A3)");
%matlab2tikz('showInfo', false, './a3.tex');
enl_plot(x4, xs4, A4); enl_plot(x4, xs4, A4);
sgtitle("Log energy norm of the error per iter. (matrix A4)"); sgtitle("Log energy norm of the error per iter. (matrix A4)");
%matlab2tikz('showInfo', false, './a4.tex');
end end
function enl_plot(xsol, xs, A) function enl_plot(xsol, xs, A)

View file

@ -0,0 +1,520 @@
% This file was created by matlab2tikz.
%
\definecolor{mycolor1}{rgb}{0.00000,0.44700,0.74100}%
%
\begin{tikzpicture}
\begin{axis}[%
width=6.028in,
height=4.754in,
at={(1.011in,0.642in)},
scale only axis,
xmin=-1,
xmax=500,
axis background/.style={fill=white}
]
\addplot [color=mycolor1, forget plot]
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