我正在使用fminsearch
通过扰动某些参数来最小化粗尺度协方差和细尺度协方差平均值之间的误差。这些是 2 行代码行,我在其中使用我打算扰乱的三个参数fminsearch
调用目标函数:minimize_me
opts = optimset('display', 'iter');
[x,fval,exitflag] = fminsearch( @(x) minimize_me(x(1), x(2), x(3)), [2, 5, 90], opts);
该函数minimize_me
如下所示,它在其体内使用了更多函数:
function diff = minimize_me(a_minor, a_major, theta)
%# Grid and model parameters
nModel=50;
nModel_want=1;
nI_grid1=5;
Nth=1;
nRow.Scale1=5;
nCol.Scale1=5;
nRow.Scale2=5^2;
nCol.Scale2=5^2;
nCell.Scale1=nRow.Scale1*nCol.Scale1;
%% Covariance computation, averaging and difference of coarse and fine scale averaged covariances
% Reading files by using the function 'general_gslib_file_to_mat.mat'
[Deff_matrix_NthModel,~,~]=general_gslib_file_to_mat(nModel,nCell.Scale1,nModel_want,nI_grid1,Nth,'effective_dispersivity_coarsegrid5x5_gslib_format');
%# Maximum value of covariance/variogram at coarse scale
sill = var(reshape(Deff_matrix_NthModel,nCell.Scale1,1)); % variance of the coarse data matrix of size (nRow.Scale1 X nCol.Scale1)
%% Compute the covariance at different lags using the function general_CovModel.m
for ihRow = 1:nRow.Scale1
for ihCol = 1:nCol.Scale1
[cov.Scale1(ihRow,ihCol),heff.Scale1(ihRow,ihCol)] = general_CovModel(theta, ihCol, ihRow, a_minor, a_major, sill, 'Exp');
end
end
for ihRow = 1:nRow.Scale2
for ihCol = 1:nCol.Scale2
[cov.Scale2(ihRow,ihCol),heff.Scale2(ihRow,ihCol)] = general_CovModel(theta, ihCol/(nCol.Scale2/nCol.Scale1), ihRow/(nRow.Scale2/nRow.Scale1), a_minor, a_major,...
sill/(nRow.Scale2*nCol.Scale2), 'Exp');
end
end
%# Scale-up of fine scale values by averaging which is done using the function general_AverageProperty.m
[covAvg.Scale2,var_covAvg.Scale2,varNorm_covAvg.Scale2] = general_AverageProperty(nRow.Scale2/nRow.Scale1,nCol.Scale2/nCol.Scale1,1,nRow.Scale1,nCol.Scale1,1,cov.Scale2,1);
%# Difference between the coarse scaled covariance and average of fine scale covariance
diff = (covAvg.Scale2 - cov.Scale1)^2;
end
但是,在运行前面显示的前两行代码时,我收到此错误:
??? Subscripted assignment dimension mismatch.
Error in ==> fminsearch at 195
fv(:,1) = funfcn(x,varargin{:});
有人可以指出有什么问题吗?谢谢!