mp5: correction to terminating condition of myCG

This commit is contained in:
Claudio Maggioni 2020-12-01 13:05:29 +01:00
parent f001099b7a
commit a3990dceb4
11 changed files with 61 additions and 164 deletions

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@ -127,6 +127,9 @@ My implementation is in the file \texttt{deblurring.m}. Plots for the original i
from the two conjugate gradient functions over the iteration count can be found respectively in figure \ref{fig:orig},
\ref{fig:mycg}, \ref{fig:pcg}, and \ref{fig:rvec}.
As a terminating condition for the \texttt{myCG} implementation, I chose to check if the residual divided by the 2-norm of
$b$ is less than the given tolerance. This mimicks the behaviour of MATLAB's \texttt{pcg} to allow for a better comparison.
\begin{figure}[h]
\begin{subfigure}{0.33\textwidth}
\centering

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@ -26,7 +26,7 @@ bt = A' * b;
IL = ichol(AT, struct('type', 'nofill', 'diagcomp', 0.01));
[x, rvec] = myCG(AT, bt, zeros(size(b)), 200, 1e-6);
[x2, ~, ~, ~, rvec2] = pcg(AT, bt, 1e-6, 200, IL, IL');
[x2, flag, ~, ~, rvec2] = pcg(AT, bt, 1e-6, 200, IL, IL');
X2 = zeros(250, 250);
for i = 0:249

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@ -17,7 +17,7 @@ function [x,rvec] = myCG(A, b, x0, max_itr, tol)
delta_old = delta_new;
rvec(i + 1) = delta_new;
if delta_new < tol
if delta_new / norm(b) < tol
rvec = rvec(1:i+1);
break
end

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@ -3,12 +3,12 @@
\begin{tikzpicture}
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width=2.604in,
height=2.604in,
at={(0.962in,0.66in)},
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scale only axis,
point meta min=-0.0128979816802523,
point meta max=0.983438722992887,
point meta min=-0.0235938830592792,
point meta max=0.99393991750956,
axis on top,
xmin=0.5,
xmax=250.5,

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@ -3,9 +3,9 @@
\begin{tikzpicture}
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width=2.604in,
height=2.604in,
at={(0.962in,0.66in)},
width=1.736in,
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scale only axis,
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@ -3,12 +3,12 @@
\begin{tikzpicture}
\begin{axis}[%
width=2.604in,
height=2.604in,
at={(0.962in,0.66in)},
width=1.736in,
height=1.736in,
at={(0.75in,0.653in)},
scale only axis,
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axis on top,
xmin=0.5,
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@ -6,14 +6,14 @@
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scale only axis,
xmin=0,
xmax=160,
xmax=50,
ymode=log,
ymin=1e-10,
ymin=1e-07,
ymax=1,
yminorticks=true,
axis background/.style={fill=white},
@ -24,40 +24,40 @@ title={Residual norms over iteration (y is log)}
table[row sep=crcr]{%
1 1\\
2 0.557596535615506\\
3 0.0776565625508994\\
3 0.0776565625508993\\
4 0.0198777323861488\\
5 0.0079699888022587\\
6 0.00379999756962288\\
7 0.00203749487265271\\
5 0.00796998880225869\\
6 0.00379999756962287\\
7 0.0020374948726527\\
8 0.00117378505868276\\
9 0.000679072640424651\\
10 0.000460205525227465\\
9 0.000679072640424649\\
10 0.000460205525227464\\
11 0.000299176988582771\\
12 0.000208705837325249\\
13 0.000154155368421639\\
13 0.000154155368421638\\
14 0.000112123271112138\\
15 8.51723029158507e-05\\
16 6.84145894011082e-05\\
17 5.22773173463894e-05\\
18 4.19658990284637e-05\\
15 8.51723029158506e-05\\
16 6.84145894011081e-05\\
17 5.22773173463893e-05\\
18 4.19658990284636e-05\\
19 3.35813556680048e-05\\
20 2.69909819855067e-05\\
20 2.69909819855066e-05\\
21 2.16953761012216e-05\\
22 1.75366202909715e-05\\
23 1.58613744370523e-05\\
24 1.07527796769547e-05\\
25 1.21386374874815e-05\\
26 1.0281869987924e-05\\
27 8.94827138078528e-06\\
28 7.32098660262364e-06\\
29 6.29855369167728e-06\\
30 5.75608316894849e-06\\
31 5.01303204699424e-06\\
32 4.32711144148809e-06\\
33 3.75161010629662e-06\\
34 3.13429056757288e-06\\
35 2.97535388105767e-06\\
36 2.59579082920429e-06\\
26 1.02818699879239e-05\\
27 8.94827138078525e-06\\
28 7.32098660262362e-06\\
29 6.29855369167726e-06\\
30 5.75608316894847e-06\\
31 5.01303204699423e-06\\
32 4.32711144148808e-06\\
33 3.75161010629661e-06\\
34 3.13429056757287e-06\\
35 2.97535388105766e-06\\
36 2.59579082920428e-06\\
37 2.35613630297938e-06\\
38 2.13570046200869e-06\\
39 1.91918226507556e-06\\
@ -65,115 +65,9 @@ title={Residual norms over iteration (y is log)}
41 1.60497187780807e-06\\
42 1.50673230165654e-06\\
43 1.29912483256279e-06\\
44 1.18346887626956e-06\\
44 1.18346887626955e-06\\
45 1.20647020748118e-06\\
46 9.32512402536184e-07\\
47 1.04433975171041e-06\\
48 7.81977076368343e-07\\
49 7.06367946061841e-07\\
50 6.44485405918065e-07\\
51 5.85991971721864e-07\\
52 5.19890971305921e-07\\
53 4.77565688325085e-07\\
54 4.45837257417216e-07\\
55 4.52354751810169e-07\\
56 4.29038013881607e-07\\
57 4.1992973890364e-07\\
58 3.83172910236925e-07\\
59 3.69121286102558e-07\\
60 3.71629459514197e-07\\
61 3.46046785121528e-07\\
62 3.27576103337777e-07\\
63 3.15320978192872e-07\\
64 2.96758711344721e-07\\
65 2.96817636331728e-07\\
66 2.71124713000926e-07\\
67 2.6290901313501e-07\\
68 2.43462036182129e-07\\
69 2.28404291071362e-07\\
70 2.24415864473542e-07\\
71 2.28468445317066e-07\\
72 2.16184931431008e-07\\
73 2.03658004162589e-07\\
74 1.83416377348944e-07\\
75 1.77025922497327e-07\\
76 1.70006600401104e-07\\
77 1.63491825605372e-07\\
78 1.57088823572822e-07\\
79 1.62321574880195e-07\\
80 1.55517018193352e-07\\
81 1.44132341985947e-07\\
82 1.33984748126281e-07\\
83 1.2519682821657e-07\\
84 1.21215390780982e-07\\
85 1.15338855777103e-07\\
86 1.08276150400166e-07\\
87 1.0480512415693e-07\\
88 1.01804326380995e-07\\
89 1.00101662634653e-07\\
90 9.48101967192299e-08\\
91 8.8924065689681e-08\\
92 8.8198911570793e-08\\
93 8.26647202805877e-08\\
94 7.78552030683553e-08\\
95 8.16807953528378e-08\\
96 7.66807903210005e-08\\
97 7.25436978662762e-08\\
98 6.71702595720641e-08\\
99 7.01343166575373e-08\\
100 6.80449977565033e-08\\
101 6.68192875014314e-08\\
102 6.22828481503882e-08\\
103 6.14945471895139e-08\\
104 6.70743224722515e-08\\
105 6.88753801346864e-08\\
106 6.74234915968034e-08\\
107 6.3875299735169e-08\\
108 6.10832293660889e-08\\
109 5.60972305769167e-08\\
110 5.08646226784856e-08\\
111 4.9561687694454e-08\\
112 4.46580704300798e-08\\
113 4.26878173046204e-08\\
114 4.10291136047614e-08\\
115 3.78768817391897e-08\\
116 3.73532345146491e-08\\
117 3.51670172399507e-08\\
118 3.22365221922065e-08\\
119 3.09141086362976e-08\\
120 3.02505083958211e-08\\
121 2.87114562212435e-08\\
122 2.66853094500274e-08\\
123 2.6004937830953e-08\\
124 2.5128996812777e-08\\
125 2.3900587385536e-08\\
126 2.2409516154494e-08\\
127 2.01607767874174e-08\\
128 1.92165407176116e-08\\
129 1.82690090540455e-08\\
130 1.78770817200396e-08\\
131 1.90428945268579e-08\\
132 1.79884322125703e-08\\
133 1.63052075399289e-08\\
134 1.64180505448727e-08\\
135 1.53303006209212e-08\\
136 1.4871760637339e-08\\
137 1.49330577072074e-08\\
138 1.41966980752516e-08\\
139 1.34094869141848e-08\\
140 1.38131070735712e-08\\
141 1.32790829181307e-08\\
142 1.29281208590769e-08\\
143 1.15621456920523e-08\\
144 1.12246784883697e-08\\
145 1.09924839400482e-08\\
146 1.05286801140992e-08\\
147 9.87772386372883e-09\\
148 9.8725860305187e-09\\
149 9.86619410929918e-09\\
150 9.8729284798242e-09\\
151 8.57478280643735e-09\\
152 7.71779322745324e-09\\
46 9.3251240253618e-07\\
};
\addplot [color=mycolor2, forget plot]
table[row sep=crcr]{%
@ -185,24 +79,24 @@ title={Residual norms over iteration (y is log)}
6 6.2599388664747e-05\\
7 3.67776811885644e-05\\
8 2.26985377046381e-05\\
9 2.75130507463433e-05\\
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26 9.55653227048963e-07\\
};
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