Change field name

Change Lambda to lambda

SMU/HessMPD.m

@@ -140,12 +140,12 @@
     % Create simModes variable to contain simulated modal properties that
     % will be used to match experimental modes when evaluating objective
     % function of Jacobians.
-    %   Lambda (n_modes x 1) - simulated eigenvalue
+    %   lambda (n_modes x 1) - simulated eigenvalue
     %   psi_m  (n_meas x n_modes) - simulated mode shape vector at measured DOFs
     %   psi    (N x n_modes) - simulated mode shape vector at all DOFs
     simModes.psi_m = psi_m(:, matchedModeIndex);
     simModes.psi = psi(:, matchedModeIndex);
-    simModes.Lambda = lambda(matchedModeIndex);
+    simModes.lambda = lambda(matchedModeIndex);
 
     for i = 1 : expModes.n_modes
         if(~isempty(find(expModes.psiExp(:,i) == 1, 1)))
@@ -192,7 +192,7 @@
 
 
 %% Calculate Jacobian and Hessian matrix of residual
-omegaSim = sqrt( simModes.Lambda );
+omegaSim = sqrt( simModes.lambda );
 omegaExp = sqrt( expModes.lambdaExp );
 
 n_meas = expModes.n_meas;
@@ -253,7 +253,7 @@
     ddPsi_mr = zeros(n_alpha, n_alpha, n_meas - 1);
     ddPsi_m = zeros(n_alpha, n_alpha, n_meas);
 
-    B = structModel.K - simModes.Lambda(i) * structModel.M0;
+    B = structModel.K - simModes.lambda(i) * structModel.M0;
     % The maximum entry of Psi_m is normalized to 1
     P_i = setdiff(1 : N, expModes.q(i));
     Q_i = P_i(1 : n_meas - 1);

SMU/JacMPDLsqnonlin.m

@@ -41,7 +41,7 @@
 %
 %   simModes - a structure array with simulated modal properties for
 %     model updating:
-%       Lambda (n_modes x 1) - simulated eigenvalue
+%       lambda (n_modes x 1) - simulated eigenvalue
 %       psi_m  (n_meas x n_modes) - simulated mode shape vector at
 %          measured DOFs
 %       psi    (N x n_modes) - simulated mode shape vector at all DOFs
@@ -65,7 +65,7 @@
 n_alpha = length( structModel.K_j ) ;
 N = size( structModel.K0, 1 );
 
-omegaSim = sqrt( simModes.Lambda );
+omegaSim = sqrt( simModes.lambda );
 omegaExp = sqrt( expModes.lambdaExp );
 
 n_meas = expModes.n_meas;
@@ -118,7 +118,7 @@
 dPsi_m = zeros(n_meas, n_alpha, n_modes);
 for i = 1 : n_modes
     dPsi_dAlpha_j = zeros(N, 1);
-    B = sparse( structModel.K - simModes.Lambda(i) * structModel.M0 );
+    B = sparse( structModel.K - simModes.lambda(i) * structModel.M0 );
 
     if (normOpt == 1)
         % The maximum entry of Psi_m is normalized to 1

SMU/ModelUpdatingJacobian.m

@@ -40,14 +40,14 @@
 %       measDOFs (n_meas x 1) - measured DOFs  
 %       lambdaWeights (n_modes x 1) - weighting factor for eigenvalue
 %       psiWeights (n_modes x 1) - weighting factor for eigenvector
-%       Lambda (n_modes x 1) - simulated eigenvalue
+%       lambda (n_modes x 1) - simulated eigenvalue
 %       psi_m  (n_meas x n_modes) - simulated mode shape vector at 
 %          measured DOFs
 %       psi  (N x n_modes) - simulated mode shape vector at all DOFs
 %
 %   simModes - a structure array with simulated modal properties for
 %     model updating:
-%       Lambda (n_modes x 1) - simulated eigenvalue
+%       lambda (n_modes x 1) - simulated eigenvalue
 %       psi_m  (n_meas x n_modes) - simulated mode shape vector at
 %          measured DOFs
 %       psi    (N x n_modes) - simulated mode shape vector at all DOFs

SMU/ModelUpdatingObjective.m

@@ -43,7 +43,7 @@
 %
 %   simModes - a structure array with simulated modal properties for
 %     model updating:
-%       Lambda (n_modes x 1) - simulated eigenvalue
+%       lambda (n_modes x 1) - simulated eigenvalue
 %       psi_m  (n_meas x n_modes) - simulated mode shape vector at
 %          measured DOFs
 %       psi    (N x n_modes) - simulated mode shape vector at all DOFs

SMU/ObjFuncMPDLsqnonlin.m

@@ -25,7 +25,7 @@
 %
 %   simModes - a MATLAB structure array with simulated modal properties for
 %     model updating:
-%       Lambda (n_modes x 1) - simulated eigenvalue
+%       lambda (n_modes x 1) - simulated eigenvalue
 %       psi_m  (n_meas x n_modes) - simulated mode shape vector at
 %          measured DOFs
 %       psi    (N x n_modes) - simulated mode shape vector at all DOFs
@@ -46,7 +46,7 @@
 % Output:
 %	r: the objective residual vector r(x)
 
-omegaSim = sqrt( simModes.Lambda );  % simulated angular frequency
+omegaSim = sqrt( simModes.lambda );  % simulated angular frequency
 omegaExp = sqrt( expModes.lambdaExp );% experimental angular frequency
 freqSim = omegaSim / 2 / pi;
 freqExp = omegaExp / 2 / pi;
@@ -67,7 +67,7 @@
 for i = 1 : n_modes
     if (eigFreqOpt == 0)
         eigFreqTerm = expModes.lambdaWeights(i) * ...
-            (expModes.lambdaExp(i) - simModes.Lambda(i)) / expModes.lambdaExp(i);
+            (expModes.lambdaExp(i) - simModes.lambda(i)) / expModes.lambdaExp(i);
     elseif (eigFreqOpt == 1)
         eigFreqTerm = expModes.lambdaWeights(i) * (omegaExp(i) - omegaSim(i)) / omegaExp(i);
     elseif (eigFreqOpt == 2)

SMU/OptmzObjJac.m

@@ -102,10 +102,10 @@
 % Create simModes variable to contain simulated modal properties that
 % will be used to match experimental modes when evaluating objective
 % function of Jacobians.
-%   Lambda (n_modes x 1) - simulated eigenvalue
+%   lambda (n_modes x 1) - simulated eigenvalue
 %   psi_m  (n_meas x n_modes) - simulated mode shape vector at measured DOFs
 %   psi    (N x n_modes) - simulated mode shape vector at all DOFs
-simModes = struct('psi_m',[],'psi',[],'Lambda',[]);
+simModes = struct('psi_m',[],'psi',[],'lambda',[]);
 % Add a new field K into structModel, which represents the stiffness matrix
 % with current alpha values.
 n_alpha = length(structModel.K_j);
@@ -143,7 +143,7 @@
 
     simModes.psi_m = psi_m(:, matchedModeIndex);
     simModes.psi = psi(:, matchedModeIndex);
-    simModes.Lambda = lambda(matchedModeIndex);
+    simModes.lambda = lambda(matchedModeIndex);
 
     if( updatingOpts.formID < 2.3)
         % Normalize mode shape vector so that the maximum entry magnitude = 1.