--- a
+++ b/combinedDeepLearningActiveContour/minFunc/example_minFunc_LR.m
@@ -0,0 +1,49 @@
+clear all
+
+nInst = 500;
+nVars = 100;
+X = [ones(nInst,1) randn(nInst,nVars-1)];
+w = randn(nVars,1);
+y = sign(X*w);
+flipInd = rand(nInst,1) > .9;
+y(flipInd) = -y(flipInd);
+
+w_init = zeros(nVars,1);
+funObj = @(w)LogisticLoss(w,X,y);
+
+fprintf('Running Hessian-Free Newton w/ numerical Hessian-Vector products\n');
+options.Method = 'newton0';
+minFunc(@LogisticLoss,w_init,options,X,y);
+pause;
+
+fprintf('Running Preconditioned Hessian-Free Newton w/ numerical Hessian-Vector products (Diagonal preconditioner)\n');
+options.Method = 'pnewton0';
+options.precFunc = @LogisticDiagPrecond;
+minFunc(@LogisticLoss,w_init,options,X,y);
+pause;
+
+fprintf('Running Preconditioned Hessian-Free Newton w/ numerical Hessian-Vector products (L-BFGS preconditioner)\n');
+options.Method = 'pnewton0';
+options.precFunc = [];
+minFunc(@LogisticLoss,w_init,options,X,y);
+pause;
+
+fprintf('Running Hessian-Free Newton w/ analytic Hessian-Vector products\n');
+options.Method = 'newton0';
+options.HvFunc = @LogisticHv;
+minFunc(@LogisticLoss,w_init,options,X,y);
+pause;
+
+fprintf('Running Preconditioned Hessian-Free Newton w/ analytic Hessian-Vector products (Diagonal preconditioner)\n');
+options.Method = 'pnewton0';
+options.HvFunc = @LogisticHv;
+options.precFunc = @LogisticDiagPrecond;
+minFunc(@LogisticLoss,w_init,options,X,y);
+pause;
+
+fprintf('Running Preconditioned Hessian-Free Newton w/ analytic Hessian-Vector products (L-BFGS preconditioner)\n');
+options.Method = 'pnewton0';
+options.precFunc = [];
+options.HvFunc = @LogisticHv;
+minFunc(@LogisticLoss,w_init,options,X,y);
+pause;
\ No newline at end of file