├── F.m
├── GQN.m
├── README.md
├── exp1_refl.m
├── exp1_trans.m
├── exp2_refl.m
├── exp2_trans.m
├── getA.m
├── getG.m
├── getP.m
├── getoption.m
├── gradtest.m
├── license.txt
└── misfit.m
/F.m:
--------------------------------------------------------------------------------
1 | function S = F(m,Q,model)
2 | % Modeling operator based on 5-point discretization of Helmholtz operator
3 | %
4 | % S = PA(m)^{-1}Q
5 | %
6 | % use:
7 | % S = F(m,Q,model)
8 | %
9 | % input:
10 | % m - model [s^2/km^2]
11 | % Q - sources as 2D array (each column is a vector of source-weights, typically Q = I)
12 | % S - data as 3D array (receivers x sources x frequencies)
13 | % model.h - [dz,dx] gridspacing in z and x direction [m]
14 | % model.n - [nz,nx] number of gridpoints in z and x direction
15 | % model.f - frequencies
16 | % model.Is - source location indices Is{1} - z locations, Is{2} - x locations
17 | % model.Ir - receiver location indices
18 | %
19 | % -------------------------------------------------------------------------
20 | % Copyright (C) 2013 Tristan van Leeuwen
21 | % Centrum Wiskunde & Informatica
22 | % Tristan.van.Leeuwen@cwi.nl
23 | %
24 | % This program is free software: you can redistribute it and/or modify
25 | % it under the terms of the GNU General Public License as published by
26 | % the Free Software Foundation, either version 3 of the License, or
27 | % (at your option) any later version.
28 | %
29 | % This program is distributed in the hope that it will be useful,
30 | % but WITHOUT ANY WARRANTY; without even the implied warranty of
31 | % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
32 | % GNU General Public License for more details.
33 | %
34 | % You should have received a copy of the GNU General Public License
35 | % along with this program. If not, see .
36 | % -------------------------------------------------------------------------
37 |
38 | % get sampling operators
39 | Ps = getP(model.n,model.Is{:});
40 | Pr = getP(model.n,model.Ir{:});
41 |
42 | S = zeros(size(Pr,1),size(Ps,1),length(model.f));
43 |
44 | % loop over frequencies
45 | for k = 1:length(model.f)
46 | % get Helmholtz operator
47 | Ak = getA(model.f(k),m,model.h,model.n);
48 |
49 | % solve forward wave-equation and sample data
50 | Uk = Ak\Ps'*Q;
51 | S(:,:,k) = Pr*Uk;
52 | end
--------------------------------------------------------------------------------
/GQN.m:
--------------------------------------------------------------------------------
1 | function [x,info] = GQN(fh,x0,options)
2 | % Simple Quasi/Gauss-Newton method for penalty method
3 | %
4 | % use:
5 | % [xn,info] = GQN(fh,x0,lambda,options)
6 | %
7 | % input:
8 | % fh - function handle to misfit of the form [f1,f2,g] = fh(x)
9 | % where f = f1 + lambda*f2 is the function value, g is the gradient of the same size
10 | % as the input vector x.
11 | % x0 - initial guess
12 | %
13 | % options.maxiter - max iterations [default 10]
14 | % options.tol - tolerance on 2-norm of gradient [1e-6]
15 | % options.M - history size [5]
16 | % options.fid - file id for output [1]
17 | % options.method - {'LBFGS','GN'}
18 | % options.cgtol - CG tolerance for GN subproblems
19 | % options.cgprec - precondition CG with LBFGS Hessian
20 | %
21 | % output:
22 | % xn - final estimate
23 | % info - iteration history (# iter, # eval, stepsize, f , ||g(x)||_2, cgiter)
24 | %
25 | % -------------------------------------------------------------------------
26 | % Copyright (C) 2013 Tristan van Leeuwen
27 | % Centrum Wiskunde & Informatica
28 | % Tristan.van.Leeuwen@cwi.nl
29 | %
30 | % This program is free software: you can redistribute it and/or modify
31 | % it under the terms of the GNU General Public License as published by
32 | % the Free Software Foundation, either version 3 of the License, or
33 | % (at your option) any later version.
34 | %
35 | % This program is distributed in the hope that it will be useful,
36 | % but WITHOUT ANY WARRANTY; without even the implied warranty of
37 | % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
38 | % GNU General Public License for more details.
39 | %
40 | % You should have received a copy of the GNU General Public License
41 | % along with this program. If not, see .
42 | % -------------------------------------------------------------------------
43 |
44 | if nargin<3
45 | options = [];
46 | end
47 |
48 | maxiter = getoption(options,'maxiter',10);
49 | M = getoption(options,'M',5);
50 | tol = getoption(options,'tol',1e-6);
51 | fid = getoption(options,'fid',1);
52 | method = getoption(options,'method','LBFGS');
53 | cgtol = getoption(options,'cgtol',1e-2);
54 | cgmax = getoption(options,'cgmax',100);
55 | cgprec = getoption(options,'cgprec',0);
56 | write = getoption(options,'write',0);
57 |
58 | % initialization
59 | fprintf(fid,'# iter, # eval, stepsize, f , ||g(x)||_2, cgiter\n');
60 | outputstr = '%6d, %6d, %1.2e, %1.5e, %1.5e, %6d\n';
61 | n = length(x0);
62 | converged = 0;
63 | iter = 0;
64 | x = x0;
65 | alpha0 = 1;
66 | cgiter = 0;
67 | S = zeros(n,M);
68 | Y = zeros(n,M);
69 |
70 | % initial evaluation
71 |
72 | [f,g,H] = fh(x);
73 | tol = tol*norm(g);
74 | nfeval = 1;
75 |
76 | % output
77 | info(1,:) = [iter,nfeval,alpha0,f,norm(g),cgiter];
78 | fprintf(fid,outputstr,info(1,:));
79 | if write
80 | dlmwrite(['x_' num2str(iter) '.dat'],x);
81 | end
82 |
83 | % main loop
84 | while ~converged
85 | alpha0 = 1;
86 | % compute search direction
87 | switch method
88 | case 'LBFGS'% L-BFGS
89 | if iter == 0;
90 | alpha0 = 1/norm(g);
91 | end
92 |
93 | s = B(-g,S,Y,[]);
94 |
95 | p = -(s'*g)/(g'*g);
96 | if (p <= 0)
97 | fprintf(fid,'Loss of descent, reset history\n');
98 | S = zeros(n,M);
99 | Y = zeros(n,M);
100 | alpha0 = 1/norm(g);
101 | end
102 |
103 | case 'GN'
104 |
105 | if cgprec
106 | [s,flag,~,cgiter] = pcg(H,-g,cgtol,cgmax,@(x)B(x,S,Y,[]));
107 | else
108 | [s,flag,~,cgiter] = pcg(H,-g,cgtol,cgmax);
109 | end
110 |
111 | if flag
112 | fprintf(fid,'CG did not converge... (flag = %d)\n', flag);
113 | end
114 |
115 | p = -(s'*g)/(g'*g);
116 | if (p <= 0)
117 | fprintf(fid,'Loss of descent, resort to gradient-step\n');
118 | s = -g;
119 | alpha0 = 1/norm(g);
120 | end
121 |
122 | end
123 |
124 | % linesearch
125 | [ft,gt,H,alpha,lsiter] = wWolfeLS(fh,x,f,g,s,alpha0);
126 | nfeval = nfeval + lsiter;
127 |
128 | % update
129 | xt = x + alpha*s;
130 |
131 | S = circshift(S,[0 -1]);
132 | Y = circshift(Y,[0 -1]);
133 | S = [S(:,1:end-1) xt - x];
134 | Y = [Y(:,1:end-1) gt - g];
135 |
136 | f = ft;
137 | g = gt;
138 | x = xt;
139 |
140 | iter = iter + 1;
141 |
142 | % output
143 | info(iter + 1,:) = [iter,nfeval,alpha,f,norm(g),cgiter];
144 | fprintf(fid,outputstr,info(iter + 1,:));
145 | if write
146 | dlmwrite(['x_' num2str(iter) '.dat'],x);
147 | end
148 |
149 | % check convergence
150 | converged = (iter>maxiter)||(norm(g) f0 + c1*alpha*g0'*s0
186 | nu = alpha;
187 | elseif gt'*s0 < c2*g0'*s0
188 | mu = alpha;
189 | else
190 | done = 1;
191 | end
192 | end
193 | end
194 |
195 | function z = B(x,S,Y,H0)
196 | % apply lbfgs inverse Hessian to vector
197 | %
198 | % Tristan van Leeuwen, 2011
199 | % tleeuwen@eos.ubc.ca
200 | %
201 | % use:
202 | % z = B(x,S,Y,b0,Binit)
203 | %
204 | % input:
205 | % x - vector of length n
206 | % S - history of steps in n x M matrix
207 | % Y - history of gradient differences in n x M matrix
208 | %
209 | % output
210 | % z - vector of length n
211 | %
212 |
213 | J = find(sum(abs(S),1));
214 | S = S(:,J);
215 | Y = Y(:,J);
216 | M = size(S,2);
217 | n = length(x);
218 |
219 | if isempty(H0)&&(M>0)
220 | H0 = norm(Y(:,end))^2/(S(:,end)'*Y(:,end))*ones(n,1);
221 | else
222 | H0 = ones(n,1);
223 | end
224 |
225 | alpha = zeros(M,1);
226 | rho = zeros(M,1);
227 | for k = 1:M
228 | rho(k) = 1/(Y(:,k)'*S(:,k));
229 | end
230 | q = x;
231 | % first recursion
232 | for k = M:-1:1
233 | alpha(k) = rho(k)*S(:,k)'*q;
234 | q = q - alpha(k)*Y(:,k);
235 | end
236 |
237 | % apply `initial' Hessian
238 | z = q./H0;
239 | % second recursion
240 | for k = 1:M
241 | beta = rho(k)*Y(:,k)'*z;
242 | z = z + (alpha(k) - beta)*S(:,k);
243 | end
244 | end
245 |
246 |
247 |
248 |
249 |
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/README.md:
--------------------------------------------------------------------------------
1 | Variable-Projection-for-FWI
2 | ===========================
3 |
4 | Matlab code used to produce the results in the commentary on
5 | "Application of the variable projection scheme for frequency-domain full-waveform inversion" by Li et al. 2013, Geophysics 78(6).
6 |
7 | Tristan van Leeuwen
8 | Aleksandr Y. Aravkin
9 | Felix J. Herrmann
10 |
11 |
12 |
--------------------------------------------------------------------------------
/exp1_refl.m:
--------------------------------------------------------------------------------
1 | % This script reproduces figure 2(b) from the paper
2 | %
3 | % -------------------------------------------------------------------------
4 | % Copyright (C) 2013 Tristan van Leeuwen
5 | % Centrum Wiskunde & Informatica
6 | % Tristan.van.Leeuwen@cwi.nl
7 | %
8 | % This program is free software: you can redistribute it and/or modify
9 | % it under the terms of the GNU General Public License as published by
10 | % the Free Software Foundation, either version 3 of the License, or
11 | % (at your option) any later version.
12 | %
13 | % This program is distributed in the hope that it will be useful,
14 | % but WITHOUT ANY WARRANTY; without even the implied warranty of
15 | % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
16 | % GNU General Public License for more details.
17 | %
18 | % You should have received a copy of the GNU General Public License
19 | % along with this program. If not, see .
20 | % -------------------------------------------------------------------------
21 |
22 | % define velocity model
23 | n = [51 51];
24 | h = [20 20];
25 | z = [0:n(1)-1]'*h(1);
26 | x = [0:n(2)-1]*h(2);
27 |
28 | v0 = 2000*ones(n);
29 | dv = zeros(n);
30 | dv(11:21,11:21) = 100;
31 | dv(31:41,31:41) = -100;
32 | m = 1e6./(v0(:) + dv(:)).^2;
33 | m0 = 1e6./(v0(:)).^2;
34 |
35 | % grid
36 | model.h = h;
37 | model.n = n;
38 |
39 | % frequency
40 | model.f = [2.5 5 10];
41 |
42 | % acquisition
43 | model.Is = {2,2:50};
44 | model.Ir = {2,2:50};
45 |
46 | % sources
47 | Q = speye(length(model.Is{1})*length(model.Is{2}));
48 |
49 | % data
50 | D = F(m,Q,model);
51 |
52 | % multiply with random amplitude factor
53 | s = RandStream('mt19937ar','Seed',1);
54 | RandStream.setGlobalStream(s);
55 | w = 5*abs(randn(1,size(D,2),size(D,3)));
56 | D = bsxfun(@times,w,D);
57 |
58 | % misfit
59 | fh = @(x)misfit(x,Q,D,model,true,false);
60 | fhc = @(x)misfit(x,Q,D,model,true,true);
61 |
62 | % perturbation
63 | [zz,xx] = ndgrid(z,x);
64 | mr = m0;
65 | alpha = linspace(-.2,.2,20);
66 |
67 |
68 | [fr,gr,Hr] = fh(mr);
69 | %dm = exp(-1e-4*((xx(:) - mean(x)).^2 + (zz(:) - mean(z)).^2))*mean(m0);
70 | dm = gr/norm(gr);
71 | %dm = m - m0;
72 |
73 | hr = Hr(dm);
74 |
75 | [frc,grc,Hrc] = fhc(mr);
76 | hrc = Hrc(dm);
77 |
78 | for k = 1:length(alpha)
79 | f(k) = fh(mr + alpha(k)*dm);
80 | q1(k) = fr + alpha(k)*dm'*gr + .5*alpha(k)^2*dm'*hr;
81 | q2(k) = fr + alpha(k)*dm'*grc + .5*alpha(k)^2*dm'*hrc;
82 | end
83 |
84 | % plot
85 | figure;
86 | plot(alpha,f,'k--',alpha,q1,'k',alpha,q2,'r','linewidth',2);
87 | legend('true','w/o correction','w correction','location','NorthWest');
88 | xlabel('\alpha','fontsize',20);ylabel('misfit','fontsize',20);
89 | set(gca,'fontsize',20);
90 |
91 | % save
92 | print(1,'-depsc',mfilename);
93 |
--------------------------------------------------------------------------------
/exp1_trans.m:
--------------------------------------------------------------------------------
1 | % This script reproduces figure 2(a) from the paper
2 | %
3 | % -------------------------------------------------------------------------
4 | % Copyright (C) 2013 Tristan van Leeuwen
5 | % Centrum Wiskunde & Informatica
6 | % Tristan.van.Leeuwen@cwi.nl
7 | %
8 | % This program is free software: you can redistribute it and/or modify
9 | % it under the terms of the GNU General Public License as published by
10 | % the Free Software Foundation, either version 3 of the License, or
11 | % (at your option) any later version.
12 | %
13 | % This program is distributed in the hope that it will be useful,
14 | % but WITHOUT ANY WARRANTY; without even the implied warranty of
15 | % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
16 | % GNU General Public License for more details.
17 | %
18 | % You should have received a copy of the GNU General Public License
19 | % along with this program. If not, see .
20 | % -------------------------------------------------------------------------
21 |
22 | % define velocity model
23 | n = [51 51];
24 | h = [20 20];
25 | z = [0:n(1)-1]'*h(1);
26 | x = [0:n(2)-1]*h(2);
27 |
28 | v0 = 2000*ones(n);
29 | dv = zeros(n);
30 | dv(11:21,11:21) = 100;
31 | dv(31:41,31:41) = -100;
32 | m = 1e6./(v0(:) + dv(:)).^2;
33 | m0 = 1e6./(v0(:)).^2;
34 |
35 | % grid
36 | model.h = h;
37 | model.n = n;
38 |
39 | % frequency
40 | model.f = [2.5 5 10];
41 |
42 | % acquisition
43 | model.Is = {2:50,2};
44 | model.Ir = {2:50,50};
45 |
46 | % sources
47 | Q = speye(length(model.Is{1})*length(model.Is{2}));
48 |
49 | % data
50 | D = F(m,Q,model);
51 |
52 | % multiply with random amplitude factor
53 | s = RandStream('mt19937ar','Seed',1);
54 | RandStream.setGlobalStream(s);
55 | w = 5*abs(randn(1,size(D,2),size(D,3)));
56 | D = bsxfun(@times,w,D);
57 |
58 | % misfit
59 | fh = @(x)misfit(x,Q,D,model,true,false);
60 | fhc = @(x)misfit(x,Q,D,model,true,true);
61 |
62 | % perturbation
63 | [zz,xx] = ndgrid(z,x);
64 | mr = m0;
65 | alpha = linspace(-.2,.2,20);
66 |
67 |
68 | [fr,gr,Hr] = fh(mr);
69 | %dm = exp(-1e-4*((xx(:) - mean(x)).^2 + (zz(:) - mean(z)).^2))*mean(m0);
70 | dm = gr/norm(gr);
71 | %dm = m - m0;
72 |
73 | hr = Hr(dm);
74 |
75 | [frc,grc,Hrc] = fhc(mr);
76 | hrc = Hrc(dm);
77 |
78 | for k = 1:length(alpha)
79 | f(k) = fh(mr + alpha(k)*dm);
80 | q1(k) = fr + alpha(k)*dm'*gr + .5*alpha(k)^2*dm'*hr;
81 | q2(k) = fr + alpha(k)*dm'*grc + .5*alpha(k)^2*dm'*hrc;
82 | end
83 |
84 | % plot
85 | figure;
86 | plot(alpha,f,'k--',alpha,q1,'k',alpha,q2,'r','linewidth',2);
87 | legend('true','w/o correction','w correction','location','NorthWest');
88 | xlabel('\alpha','fontsize',20);ylabel('misfit','fontsize',20);
89 | set(gca,'fontsize',20);
90 |
91 | % save
92 | print(1,'-depsc',mfilename);
93 |
94 |
95 |
--------------------------------------------------------------------------------
/exp2_refl.m:
--------------------------------------------------------------------------------
1 | % This script reproduces figure 5 from the paper
2 | %
3 | % -------------------------------------------------------------------------
4 | % Copyright (C) 2013 Tristan van Leeuwen
5 | % Centrum Wiskunde & Informatica
6 | % Tristan.van.Leeuwen@cwi.nl
7 | %
8 | % This program is free software: you can redistribute it and/or modify
9 | % it under the terms of the GNU General Public License as published by
10 | % the Free Software Foundation, either version 3 of the License, or
11 | % (at your option) any later version.
12 | %
13 | % This program is distributed in the hope that it will be useful,
14 | % but WITHOUT ANY WARRANTY; without even the implied warranty of
15 | % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
16 | % GNU General Public License for more details.
17 | %
18 | % You should have received a copy of the GNU General Public License
19 | % along with this program. If not, see .
20 | % -------------------------------------------------------------------------
21 |
22 | % define velocity model
23 | n = [51 51];
24 | h = [20 20];
25 | z = [0:n(1)-1]'*h(1);
26 | x = [0:n(2)-1]*h(2);
27 |
28 | v0 = 2000*ones(n);
29 | dv = zeros(n);
30 | dv(11:21,11:21) = 100;
31 | dv(31:41,31:41) = -100;
32 | m = 1e6./(v0(:) + dv(:)).^2;
33 | m0 = 1e6./(v0(:)).^2;
34 |
35 | % grid
36 | model.h = h;
37 | model.n = n;
38 |
39 | % frequency
40 | model.f = [2.5 5 10];
41 |
42 | % acquisition
43 | model.Is = {2,2:50};
44 | model.Ir = {2,2:50};
45 |
46 | % sources
47 | Q = speye(length(model.Is{1})*length(model.Is{2}));
48 |
49 | % data
50 | D = F(m,Q,model);
51 |
52 | % multiply with random amplitude factor
53 | s = RandStream('mt19937ar','Seed',1);
54 | RandStream.setGlobalStream(s);
55 | w = 5*abs(randn(1,size(D,2),size(D,3)));
56 | D = bsxfun(@times,w,D);
57 |
58 | % inversion
59 | fh = @(x)misfit(x,Q,D,model,true,false);
60 | fhc = @(x)misfit(x,Q,D,model,true,true);
61 |
62 | options.maxiter = 1000;
63 | options.tol = 1e-3;
64 | options.M = 5;
65 | options.fid = 1;
66 | options.cgtol = 1e-1;
67 | options.cgmax = 200;
68 | options.write = 1;
69 |
70 | tic
71 | options.method = 'LBFGS';
72 | [m1,info1] = GQN(fh,m0,options);
73 | T1 = toc;
74 | cost1 = 2*info1(:,2)+ 3*cumsum(info1(:,6));
75 | for k = 1:size(info1,1)
76 | mk = dlmread(['x_' num2str(k-1) '.dat']);
77 | error1(k) = norm(m - mk)/norm(m - m0);
78 | end
79 | delete('x*.dat');
80 | display(['Elapsed time: ' num2str(T1) ' s, PDE solves: ' num2str(cost1(end))]);
81 |
82 |
83 | tic
84 | options.method = 'GN';
85 | [m2,info2] = GQN(fh,m0,options);
86 | T2 = toc;
87 | cost2 = 2*info2(:,2)+ 3*cumsum(info2(:,6));
88 | for k = 1:size(info2,1)
89 | mk = dlmread(['x_' num2str(k-1) '.dat']);
90 | error2(k) = norm(m - mk)/norm(m - m0);
91 | end
92 | delete('x*.dat');
93 | display(['Elapsed time: ' num2str(T2) ' s, PDE solves: ' num2str(cost2(end))]);
94 |
95 |
96 | tic
97 | options.method = 'GN';
98 | [m3,info3] = GQN(fhc,m0,options);
99 | T3 = toc;
100 | cost3 = 2*info3(:,2)+ 3*cumsum(info3(:,6));
101 | for k = 1:size(info3,1)
102 | mk = dlmread(['x_' num2str(k-1) '.dat']);
103 | error3(k) = norm(m - mk)/norm(m - m0);
104 | end
105 | delete('x*.dat');
106 | display(['Elapsed time: ' num2str(T3) ' s, PDE solves: ' num2str(cost3(end))]);
107 |
108 |
109 | % plot
110 | figure;
111 | imagesc(1e-3*x,1e-3*z,reshape(1./sqrt(m),n)); axis equal tight;caxis([min(1./sqrt(m)) max(1./sqrt(m))]);
112 | title('ground truth [km/s]','fontsize',20);colorbar;
113 | set(gca,'fontsize',20);xlabel('x [km]','fontsize',20);ylabel('z [km]','fontsize',20);
114 |
115 | figure;
116 | imagesc(1e-3*x,1e-3*z,reshape(1./sqrt(m1),n));axis equal tight;caxis([min(1./sqrt(m)) max(1./sqrt(m))]); title('LBFGS','fontsize',20);
117 | set(gca,'fontsize',20);xlabel('x [km]','fontsize',20);ylabel('z [km]','fontsize',20);
118 |
119 | figure;
120 | imagesc(1e-3*x,1e-3*z,reshape(1./sqrt(m2),n)); axis equal tight;caxis([min(1./sqrt(m)) max(1./sqrt(m))]);title('GN w/o correction','fontsize',20);
121 | set(gca,'fontsize',20);xlabel('x [km]','fontsize',20);ylabel('z [km]','fontsize',20);
122 |
123 | figure;
124 | imagesc(1e-3*x,1e-3*z,reshape(1./sqrt(m3),n)); axis equal tight;caxis([min(1./sqrt(m)) max(1./sqrt(m))]);title('GN w correction','fontsize',20);
125 | set(gca,'fontsize',20);xlabel('x [km]','fontsize',20);ylabel('z [km]','fontsize',20);
126 |
127 | figure;
128 | loglog(1+info1(:,1),info1(:,4),'k',1+info2(:,1),info2(:,4),'r',1+info3(:,1),info3(:,4),'b','linewidth',2);
129 | legend('LBFGS','GN w/o corr','GN w corr');
130 | set(gca,'fontsize',20);xlabel('iteration','fontsize',20);ylabel('misfit','fontsize',20);
131 |
132 | figure;
133 | loglog(1+info1(:,1),info1(:,5),'k',1+info2(:,1),info2(:,5),'r',1+info3(:,1),info3(:,5),'b','linewidth',2);
134 | legend('LBFGS','GN w/o corr','GN w corr');
135 | set(gca,'fontsize',20);xlabel('iteration','fontsize',20);ylabel('||g||_2','fontsize',20);
136 |
137 | figure;
138 | semilogx(1+info1(:,1),error1,'k',1+info2(:,1),error2,'r',1+info3(:,1),error3,'b','linewidth',2);
139 | legend('LBFGS','GN w/o corr','GN w corr');
140 | set(gca,'fontsize',20);xlabel('iteration','fontsize',20);ylabel('reconstruction error','fontsize',20);
141 |
142 | for k = 1:7
143 | print(k,'-depsc',[mfilename '_' num2str(k)]);
144 | end
145 |
146 |
--------------------------------------------------------------------------------
/exp2_trans.m:
--------------------------------------------------------------------------------
1 | % This script reproduces figure 4 from the paper
2 | %
3 | % -------------------------------------------------------------------------
4 | % Copyright (C) 2013 Tristan van Leeuwen
5 | % Centrum Wiskunde & Informatica
6 | % Tristan.van.Leeuwen@cwi.nl
7 | %
8 | % This program is free software: you can redistribute it and/or modify
9 | % it under the terms of the GNU General Public License as published by
10 | % the Free Software Foundation, either version 3 of the License, or
11 | % (at your option) any later version.
12 | %
13 | % This program is distributed in the hope that it will be useful,
14 | % but WITHOUT ANY WARRANTY; without even the implied warranty of
15 | % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
16 | % GNU General Public License for more details.
17 | %
18 | % You should have received a copy of the GNU General Public License
19 | % along with this program. If not, see .
20 | % -------------------------------------------------------------------------
21 |
22 | % define velocity model
23 | n = [51 51];
24 | h = [20 20];
25 | z = [0:n(1)-1]'*h(1);
26 | x = [0:n(2)-1]*h(2);
27 |
28 | v0 = 2000*ones(n);
29 | dv = zeros(n);
30 | dv(11:21,11:21) = 100;
31 | dv(31:41,31:41) = -100;
32 | m = 1e6./(v0(:) + dv(:)).^2;
33 | m0 = 1e6./(v0(:)).^2;
34 |
35 | % grid
36 | model.h = h;
37 | model.n = n;
38 |
39 | % frequency
40 | model.f = [2.5 5 10];
41 |
42 | % acquisition
43 | model.Is = {2:50,2};
44 | model.Ir = {2:50,50};
45 |
46 | % sources
47 | Q = speye(length(model.Is{1})*length(model.Is{2}));
48 |
49 | % data
50 | D = F(m,Q,model);
51 |
52 | % multiply with random amplitude factor
53 | s = RandStream('mt19937ar','Seed',1);
54 | RandStream.setGlobalStream(s);
55 | w = 5*abs(randn(1,size(D,2),size(D,3)));
56 | D = bsxfun(@times,w,D);
57 |
58 | % inversion
59 | fh = @(x)misfit(x,Q,D,model,true,false);
60 | fhc = @(x)misfit(x,Q,D,model,true,true);
61 |
62 | options.maxiter = 1000;
63 | options.tol = 1e-3;
64 | options.M = 5;
65 | options.fid = 1;
66 | options.cgtol = 1e-1;
67 | options.cgmax = 200;
68 | options.cgprec = 0;
69 | options.write = 1;
70 |
71 | tic
72 | options.method = 'LBFGS';
73 | [m1,info1] = GQN(fh,m0,options);
74 | T1 = toc;
75 | cost1 = 2*info1(:,2)+ 3*cumsum(info1(:,6));
76 | for k = 1:size(info1,1)
77 | mk = dlmread(['x_' num2str(k-1) '.dat']);
78 | error1(k) = norm(m - mk)/norm(m - m0);
79 | end
80 | delete('x*.dat');
81 | display(['Elapsed time: ' num2str(T1) ' s, PDE solves: ' num2str(cost1(end))]);
82 |
83 |
84 | tic
85 | options.method = 'GN';
86 | [m2,info2] = GQN(fh,m0,options);
87 | T2 = toc;
88 | cost2 = 2*info2(:,2)+ 3*cumsum(info2(:,6));
89 | for k = 1:size(info2,1)
90 | mk = dlmread(['x_' num2str(k-1) '.dat']);
91 | error2(k) = norm(m - mk)/norm(m - m0);
92 | end
93 | delete('x*.dat');
94 | display(['Elapsed time: ' num2str(T2) ' s, PDE solves: ' num2str(cost2(end))]);
95 |
96 |
97 | tic
98 | options.method = 'GN';
99 | [m3,info3] = GQN(fhc,m0,options);
100 | T3 = toc;
101 | cost3 = 2*info3(:,2)+ 3*cumsum(info3(:,6));
102 | for k = 1:size(info3,1)
103 | mk = dlmread(['x_' num2str(k-1) '.dat']);
104 | error3(k) = norm(m - mk)/norm(m - m0);
105 | end
106 | delete('x*.dat');
107 | display(['Elapsed time: ' num2str(T3) ' s, PDE solves: ' num2str(cost3(end))]);
108 |
109 |
110 | % plot
111 | figure;
112 | imagesc(1e-3*x,1e-3*z,reshape(1./sqrt(m),n)); axis equal tight;caxis([min(1./sqrt(m)) max(1./sqrt(m))]);
113 | title('ground truth [km/s]','fontsize',20);colorbar;
114 | set(gca,'fontsize',20);xlabel('x [km]','fontsize',20);ylabel('z [km]','fontsize',20);
115 |
116 | figure;
117 | imagesc(1e-3*x,1e-3*z,reshape(1./sqrt(m1),n));axis equal tight;caxis([min(1./sqrt(m)) max(1./sqrt(m))]); title('LBFGS','fontsize',20);
118 | set(gca,'fontsize',20);xlabel('x [km]','fontsize',20);ylabel('z [km]','fontsize',20);
119 |
120 | figure;
121 | imagesc(1e-3*x,1e-3*z,reshape(1./sqrt(m2),n)); axis equal tight;caxis([min(1./sqrt(m)) max(1./sqrt(m))]);title('GN w/o correction','fontsize',20);
122 | set(gca,'fontsize',20);xlabel('x [km]','fontsize',20);ylabel('z [km]','fontsize',20);
123 |
124 | figure;
125 | imagesc(1e-3*x,1e-3*z,reshape(1./sqrt(m3),n)); axis equal tight;caxis([min(1./sqrt(m)) max(1./sqrt(m))]);title('GN w correction','fontsize',20);
126 | set(gca,'fontsize',20);xlabel('x [km]','fontsize',20);ylabel('z [km]','fontsize',20);
127 |
128 | figure;
129 | loglog(1+info1(:,1),info1(:,4),'k',1+info2(:,1),info2(:,4),'r',1+info3(:,1),info3(:,4),'b','linewidth',2);
130 | legend('LBFGS','GN w/o corr','GN w corr');
131 | set(gca,'fontsize',20);xlabel('iteration','fontsize',20);ylabel('misfit','fontsize',20);
132 |
133 | figure;
134 | loglog(1+info1(:,1),info1(:,5),'k',1+info2(:,1),info2(:,5),'r',1+info3(:,1),info3(:,5),'b','linewidth',2);
135 | legend('LBFGS','GN w/o corr','GN w corr');
136 | set(gca,'fontsize',20);xlabel('iteration','fontsize',20);ylabel('||g||_2','fontsize',20);
137 |
138 | figure;
139 | semilogx(1+info1(:,1),error1,'k',1+info2(:,1),error2,'r',1+info3(:,1),error3,'b','linewidth',2);
140 | legend('LBFGS','GN w/o corr','GN w corr');
141 | set(gca,'fontsize',20);xlabel('iteration','fontsize',20);ylabel('reconstruction error','fontsize',20);
142 |
143 | for k = 1:7
144 | print(k,'-depsc',[mfilename '_' num2str(k)]);
145 | end
146 |
147 |
--------------------------------------------------------------------------------
/getA.m:
--------------------------------------------------------------------------------
1 | function A = getA(f,m,h,n)
2 | % 5-point discretization of the 2D Helmholtz operator with absorbing
3 | % boundary conditions.
4 | %
5 | % use:
6 | % A = getA(f,m,h,n);
7 | %
8 | % input:
9 | % f - frequency [Hz]
10 | % m - model [s^2/km^2]
11 | % h - [dz,dx] gridspacing in z and x direction [m]
12 | % n - [nz,nx] number of gridpoints in z and x direction
13 | %
14 | % ouput:
15 | % A - sparse matrix
16 | %
17 | % -------------------------------------------------------------------------
18 | % Copyright (C) 2013 Tristan van Leeuwen
19 | % Centrum Wiskunde & Informatica
20 | % Tristan.van.Leeuwen@cwi.nl
21 | %
22 | % This program is free software: you can redistribute it and/or modify
23 | % it under the terms of the GNU General Public License as published by
24 | % the Free Software Foundation, either version 3 of the License, or
25 | % (at your option) any later version.
26 | %
27 | % This program is distributed in the hope that it will be useful,
28 | % but WITHOUT ANY WARRANTY; without even the implied warranty of
29 | % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
30 | % GNU General Public License for more details.
31 | %
32 | % You should have received a copy of the GNU General Public License
33 | % along with this program. If not, see .
34 | % -------------------------------------------------------------------------
35 |
36 | % angular frequency (note factor 1e-3 because m is in [s^2/km^2])
37 | omega = 1e-3*2*pi*f;
38 |
39 | % number of gridpoints
40 | N = prod(n);
41 |
42 | % Stiffness matrices
43 | D1 = spdiags(ones(n(1),1)*[1 -2 1]/h(1).^2,[-1:1],n(1),n(1)); D1(1,1:2) = [1 -1]/h(1); D1(end,end-1:end) = [-1 1]/h(1);
44 | D2 = spdiags(ones(n(2),1)*[1 -2 1]/h(2).^2,[-1:1],n(2),n(2)); D2(1,1:2) = [1 -1]/h(2); D2(end,end-1:end) = [-1 1]/h(2);
45 |
46 | S = kron(speye(n(2)),D1) + kron(D2,speye(n(1)));
47 |
48 | % Mass matrix including ABC's
49 | w = [0 ones(1,n(1)-2) 0];
50 | w = w(:)*[0 ones(1,n(2)-2) 0];
51 | w = w(:);
52 |
53 | M = omega^2*spdiags(w.*m,0,N,N) + 1i*omega*spdiags((1-w).*sqrt(m),0,N,N);
54 |
55 | %
56 | A = M + S;
57 |
58 |
59 |
60 |
--------------------------------------------------------------------------------
/getG.m:
--------------------------------------------------------------------------------
1 | function G = getG(f,m,h,n)
2 | % Jacobian of A*u, see getA.m.
3 | % The Jacobian of A*u can be written as d(A*u)/dm = G*diag(m)*u
4 | %
5 | % use:
6 | % G = getG(f,m,h,n);
7 | %
8 | % input:
9 | % f - frequency [Hz]
10 | % m - model [s^2/km^2]
11 | % h - [dz,dx] gridspacing in z and x direction [m]
12 | % n - [nz,nx] number of gridpoints in z and x direction
13 | %
14 | % ouput:
15 | % G - sparse matrix
16 | %
17 | % -------------------------------------------------------------------------
18 | % Copyright (C) 2013 Tristan van Leeuwen
19 | % Centrum Wiskunde & Informatica
20 | % Tristan.van.Leeuwen@cwi.nl
21 | %
22 | % This program is free software: you can redistribute it and/or modify
23 | % it under the terms of the GNU General Public License as published by
24 | % the Free Software Foundation, either version 3 of the License, or
25 | % (at your option) any later version.
26 | %
27 | % This program is distributed in the hope that it will be useful,
28 | % but WITHOUT ANY WARRANTY; without even the implied warranty of
29 | % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
30 | % GNU General Public License for more details.
31 | %
32 | % You should have received a copy of the GNU General Public License
33 | % along with this program. If not, see .
34 | % -------------------------------------------------------------------------
35 |
36 | % angular frequency (note factor 1e-3 because m is in [s^2/km^2])
37 | omega = 1e-3*2*pi*f;
38 | N = prod(n);
39 |
40 | %
41 | w = [0 ones(1,n(1)-2) 0];
42 | if n(2)>1
43 | w = w(:)*[0 ones(1,n(2)-2) 0];
44 | end
45 | w = w(:);
46 |
47 | % construct sparse matrix; we ignore the contributions from the boundary for the time being to ensure
48 | % that all quantities are real.
49 | G = omega^2*spdiags(w,0,N,N); % + 1i*omega*spdiags((1-w)./(2*sqrt(m)),0,N,N);
50 |
51 |
--------------------------------------------------------------------------------
/getP.m:
--------------------------------------------------------------------------------
1 | function P = getP(n,Iz,Ix)
2 | % sampling operator, selects gridpoints from 2D grid:
3 | %
4 | % use:
5 | % P = getP(n,Iz,Ix);
6 | %
7 | % input:
8 | % n - [nz,nx] number of gridpoints in z and x direction
9 | % Iz,Ix - indices
10 | %
11 | % ouput:
12 | % P - sparse matrix
13 | %
14 | % -------------------------------------------------------------------------
15 | % Copyright (C) 2013 Tristan van Leeuwen
16 | % Centrum Wiskunde & Informatica
17 | % Tristan.van.Leeuwen@cwi.nl
18 | %
19 | % This program is free software: you can redistribute it and/or modify
20 | % it under the terms of the GNU General Public License as published by
21 | % the Free Software Foundation, either version 3 of the License, or
22 | % (at your option) any later version.
23 | %
24 | % This program is distributed in the hope that it will be useful,
25 | % but WITHOUT ANY WARRANTY; without even the implied warranty of
26 | % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
27 | % GNU General Public License for more details.
28 | %
29 | % You should have received a copy of the GNU General Public License
30 | % along with this program. If not, see .
31 | % -------------------------------------------------------------------------
32 |
33 | I1 = speye(n(1));
34 | I2 = speye(n(2));
35 | P = kron(I2(Ix,:),I1(Iz,:));
36 |
37 |
--------------------------------------------------------------------------------
/getoption.m:
--------------------------------------------------------------------------------
1 | function s = getoption(options,field,default)
2 | % parse option from struct
3 | %
4 | % use
5 | % s = getoption(options,field,default)
6 | %
7 | % input
8 | % options - struct with option fields
9 | % field - specify which field to parse
10 | % default - default value in case field does not exist
11 | %
12 | % output
13 | % s - value
14 | %
15 | % -------------------------------------------------------------------------
16 | % Copyright (C) 2013 Tristan van Leeuwen
17 | % Centrum Wiskunde & Informatica
18 | % Tristan.van.Leeuwen@cwi.nl
19 | %
20 | % This program is free software: you can redistribute it and/or modify
21 | % it under the terms of the GNU General Public License as published by
22 | % the Free Software Foundation, either version 3 of the License, or
23 | % (at your option) any later version.
24 | %
25 | % This program is distributed in the hope that it will be useful,
26 | % but WITHOUT ANY WARRANTY; without even the implied warranty of
27 | % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
28 | % GNU General Public License for more details.
29 | %
30 | % You should have received a copy of the GNU General Public License
31 | % along with this program. If not, see .
32 | % -------------------------------------------------------------------------
33 |
34 | s = default;
35 | if isfield(options,field)
36 | s = getfield(options,field);
37 | end
--------------------------------------------------------------------------------
/gradtest.m:
--------------------------------------------------------------------------------
1 | function [ep,em] = gradtest(fh,m,dm)
2 | % finite-difference gradient test based on Taylor expansion:
3 | %
4 | % f(m + alpha*dm) = f(m) + alpha*df(m)'*dm + O(alpha^2)
5 | %
6 | % The error e(alpha) = f(m + alpha*dm) - f(m) - alpha*df(m)'*dm
7 | % should be O(alpha^2) which can be verified by computing it for various
8 | % alpha.
9 | %
10 | % use:
11 | % [ep,em] = gradtest(fh,m,dm)
12 | % input:
13 | % fh - function handle [f,g] =fh(m)
14 | % m - reference model
15 | % dm - perturbation
16 | %
17 | % output
18 | % ep - error based on forward difference
19 | % em - error based on backward difference
20 | %
21 | % Copyright (C) 2013 Tristan van Leeuwen
22 | % Centrum Wiskunde & Informatica
23 | % Tristan.van.Leeuwen@cwi.nl
24 | %
25 | % This program is free software: you can redistribute it and/or modify
26 | % it under the terms of the GNU General Public License as published by
27 | % the Free Software Foundation, either version 3 of the License, or
28 | % (at your option) any later version.
29 | %
30 | % This program is distributed in the hope that it will be useful,
31 | % but WITHOUT ANY WARRANTY; without even the implied warranty of
32 | % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
33 | % GNU General Public License for more details.
34 | %
35 | % You should have received a copy of the GNU General Public License
36 | % along with this program. If not, see .
37 |
38 | alpha = [1 .1 1e-2 1e-3 1e-4 1e-5 1e-6 1e-7 1e-8];
39 | [f,g] = fh(m);
40 | for k = 1:length(alpha)
41 | fp = fh(m + alpha(k)*dm);
42 | fm = fh(m - alpha(k)*dm);
43 |
44 | ep(k) = f+alpha(k)*dm'*g - fp;
45 | em(k) = f-alpha(k)*dm'*g - fm;
46 | end
47 |
--------------------------------------------------------------------------------
/license.txt:
--------------------------------------------------------------------------------
1 | GNU GENERAL PUBLIC LICENSE
2 | Version 3, 29 June 2007
3 |
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675 |
--------------------------------------------------------------------------------
/misfit.m:
--------------------------------------------------------------------------------
1 | function [f,g,H] = misfit(m,Q,D,model,srcest,corr)
2 | % least-squares misfit for FWI with source estimation
3 | %
4 | % use:
5 | % [f,g] = misfit(m,Q,D,model,srcest)
6 | %
7 | % input:
8 | % m - model [s^2/km^2]
9 | % Q - sources as 2D array
10 | % D - data as 3D array (receivers x sources x frequencies)
11 | % model.h - [dz,dx] gridspacing in z and x direction [m]
12 | % model.n - [nz,nx] number of gridpoints in z and x direction
13 | % model.f - frequencies
14 | % model.Is - source location indices
15 | % model.Ir - receiver location indices
16 | % srcest - source estimation on/off
17 | % corr - include correction term in reduced Hessian
18 | %
19 | % output:
20 | % f - misfit
21 | % g - gradient
22 | %
23 | % -------------------------------------------------------------------------
24 | % Copyright (C) 2013 Tristan van Leeuwen
25 | % Centrum Wiskunde & Informatica
26 | % Tristan.van.Leeuwen@cwi.nl
27 | %
28 | % This program is free software: you can redistribute it and/or modify
29 | % it under the terms of the GNU General Public License as published by
30 | % the Free Software Foundation, either version 3 of the License, or
31 | % (at your option) any later version.
32 | %
33 | % This program is distributed in the hope that it will be useful,
34 | % but WITHOUT ANY WARRANTY; without even the implied warranty of
35 | % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
36 | % GNU General Public License for more details.
37 | %
38 | % You should have received a copy of the GNU General Public License
39 | % along with this program. If not, see .
40 | % -------------------------------------------------------------------------
41 |
42 | % get sampling operators
43 | Ps = getP(model.n,model.Is{:});
44 | Pr = getP(model.n,model.Ir{:});
45 |
46 | % initialize misfit and gradient
47 | f = 0;
48 | g = 0*m;
49 |
50 | % loop over frequencies
51 | for k = 1:length(model.f)
52 | % get Helmholtz operator
53 | Ak = getA(model.f(k),m,model.h,model.n);
54 | Gk = getG(model.f(k),m,model.h,model.n);
55 |
56 | % solve forward wave-equation and sample data
57 | Uk = Ak\(Ps'*Q);
58 | Sk = Pr*Uk;
59 |
60 | % compute source-weight
61 | if srcest
62 | ck = real(sum(conj(Sk).*D(:,:,k),1)./sum(conj(Sk).*Sk,1))';
63 | end
64 | Ck = spdiags(ck,0,size(Sk,2),size(Sk,2));
65 |
66 | % solve adjoint wave-equation
67 | Vk = Ak'\(Pr'*(Sk*Ck - D(:,:,k)));
68 |
69 | % compute misfit and gradient
70 | f = f + .5*norm(Sk*Ck - D(:,:,k),'fro')^2;
71 | g = g - sum(conj(Uk*Ck).*(Gk'*Vk),2);
72 | end
73 | g = real(g);
74 | H = @(x)Hfun(x,m,Q,D,model,corr,srcest);
75 |
76 | function y = Hfun(x,m,Q,D,model,corr,srcest)
77 |
78 | % get sampling operators
79 | Ps = getP(model.n,model.Is{:});
80 | Pr = getP(model.n,model.Ir{:});
81 |
82 | y = 0*x;
83 |
84 | % loop over frequencies
85 | for k = 1:length(model.f)
86 | % get Helmholtz operator
87 | Ak = getA(model.f(k),m,model.h,model.n);
88 | Gk = getG(model.f(k),m,model.h,model.n);
89 |
90 | % solve forward wave-equation and sample data
91 | Uk = Ak\(Ps'*Q);
92 | Sk = Pr*Uk;
93 |
94 | % source-weight
95 | if srcest
96 | ck = real(sum(conj(Sk).*D(:,:,k),1)./sum(conj(Sk).*Sk,1))';
97 | end
98 | Ck = spdiags(ck,0,size(Sk,2),size(Sk,2));
99 |
100 | % dc/dm
101 | dck = real( bsxfun(@times,(conj(Uk).*(Gk'*(Ak'\(Pr'*(D(:,:,k) - 2*Sk*Ck))))),1./sum(abs(Sk).^2,1)) );
102 |
103 | % dS = w*J*x + (dc'*x)*S
104 | dSk = (Pr*(Ak\(Gk*spdiags(x,0,length(x),length(x))*Uk)))*Ck;
105 | if corr
106 | dSk = dSk + Sk*spdiags((dck'*x),0,size(Sk,2),size(Sk,2));
107 | end
108 |
109 | % g = w*J'*p + (s'*p)*dc
110 | g = sum(conj(Uk*Ck).*(Gk'*(Ak'\(Pr'*dSk))),2);
111 | if corr
112 | g = g + dck*transpose(sum(conj(Sk).*dSk,1));
113 | end
114 |
115 | y = y + real(g);
116 | end
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