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In today's business environment, organizations rely on information systems to store and process the information constantly gathered. These systems are used to support the everyday needs of the organization. It is apparent that many of these systems has limited or no analytical capabilities, can the introduction of a decision support system could enable practitioners to benefit from this can th
For combinatorial optimization problems that can be formulated as Ising or Potts spin systems, the Mean Field (MF) approximation yields a versatile and simple ANN heuristic, Deterministic Annealing. For problems involving assignments (or permutations), the situation is more complex -- the natural analog of the MF approximation lacks the simplicity present in the Potts and Ising cases. In this arti
This thesis considers a model of high energy particle collisions. The model is based on the so called BFKL formalism which is valid only at low x, that is collisions at very high energies, such as at the LHC. The intial state of the incoming particles are simulated by colour dipoles in transverse space evolved through rapidity. With this approach, all fluctuations are dynamically described, allowi
