function xy = solver(kd,bx)
npts = length(kd);
if ~any(kd(:)>0),
xy = zeros(npts,2);
return
end
dx=bx(2);
dy=bx(4);
D=dx+1i*dy;
pm=D/2;
xy=zeros(1,npts)+pm;
npf=.1;
if npts<10, npf=.01; end
d=npf*max(dx,dy);
x=0:d:dx;
y=0:d:dy;
[xx,yy] = ndgrid(x,1i*y);
[nx,ny]=size(xx);
onesx=ones(1,nx);
onesy=ones(1,ny);
XX=xx(:)+yy(:);
dr=abs(D);
kd(find(kd>dr))=dr;
S=(kd-eye(npts))>=0;
nX=length(XX);
xOnes=ones(nX,1);
xZeros=zeros(nX,1);
start=1;
iones=ones(1,npts);
sCut = 2;
olds = 1.0e30;
iterbigmax = 1;
for iterbig = 1:iterbigmax
[dum,p]=sort(-max(kd));
S=S(p,p);
kd=kd(p,p);
[v,w]=sort(p);
for iter=1:20
% for index = 1:npts
for index = 1:npts
I = find(S(:,index));
if ~isempty(I)
st = sum(abs(abs(XX(:,ones(size(I)))-xy(xOnes,I))-kd(xZeros+index,I)),2);
[null,minloc] = min(st);
xy(index) = XX(minloc);
end
end
if iter>2,
[s,M]=findstrain(S,xy,kd);
csum(iter)=s;
if((abs(s-olds)/(s+1)) < 0.002) | s < sCut
break;
end
olds = s;
end
end
xy=xy.';
xy=xy(w,:);
kd=kd(w,w);
S=S(w,w);
if( iterbig < iterbigmax )
xy=xy.';
end
end
alpha = 0.1;
ngrad = 30;
obj = 1.0e20*ones(ngrad,1);
xybig = zeros(npts,ngrad);
gradient = zeros(npts,1);
[objnew,sM,dM]=findstrain(S,xy,kd);
gradient(:) = sum(dM./(abs(dM)+eps).*sign(sM));
ograd=gradient;
obj(1) = objnew;
xybig(:,1) = xy;
for ij=2:ngrad
xy = xy - alpha * gradient;
xy = min(max(real(xy),0),dx) + j * min(max(imag(xy),0),dy);
[s,sM,dM]=findstrain(S,xy,kd);
gradient(:) = sum(dM./(abs(dM)+eps).*sign(sM));
obj(ij) = s;
xybig(:,ij) = xy;
if( obj(ij) > obj(ij-1) )
xy = xybig(:,ij-1);
alpha = alpha / 10;
gradient=ograd;
else
alpha = alpha * 2;
end
[bestobj,index] = min(obj);
if bestobj < sCut
break
end
ograd = gradient;
end
[bestobj,index] = min(obj);
xy = xybig(:,index);
xy=[real(xy) imag(xy)];
function [s,strainMatrix,dX]=findstrain(S,xy,kd)
sI=find(S);
strainMatrix=S;
dX=S;
[X1,X2]=meshgrid(xy);
dX(sI)=X1(sI)-X2(sI);
strainMatrix(sI) = abs(dX(sI))-kd(sI);
s = sum(abs(strainMatrix(sI)));
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