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The goal of combinatorial optimization is to find the optimal solution that minimizes a given cost function E. Since the configuration space is typically large, finding such a solution may be a time-consuming task, even when an efficient description of the cost function is provided. Some problems in combinatorial optimization can be then classified according to their computational complexity. This...
We study the total magnetization M of the one-dimensional spin-1/2 XXZ model with ferromagnetic nearest-neighbor (NN) exchange interactions J 1 and antiferromagnetic next-NN J 2 , with corresponding anisotropies Δ i . Near the isotropic limit, the model is expected to be relevant for quasi one-dimensional cuprates containing edge-sharing CuO n polyhedra. By numerical...
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