Description: gradient_QU.m
For example, invoking the partial sparse-simplex method with the same setting as the last
example (of the greedy sparse-simplex method) also results with the correct solution:
>>[X,fun_val]=partial_sparse_simplex(@(x)f_QU(A,c,x),@(x)gradient_QU(A,c,x),...
@(x,S)g_QU(A,c,x,S),p,500,[1 1 1 ones(7,1)])
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File list (Check if you may need any files):
GRADIENT
........\g_LI.m
........\g_QU.m
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