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Equi-contour lines corresponding to the L2, L1, L0 norm cost functions in the case where 
is a 2D vector. The L1, L0 norms have a property that they yield larger costs to non-sparse points located far from the coordinate axes, which leads to a strong power in picking up sparse solutions better than the L2 norm
