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The problem of continuous-time process parameter identification is considered. Filtered input-output process signals are used to create a linear differential equation governed by the same continuous-time process parameters. The estimation scheme is implemented by sampling the filtered signals and using a recursive least squares algorithm (RLS). The choice of filter leads to different parameter con
As e-commerce continues to grow, so do the competition and expectations from consumers. To meet these challenges, e-tailers need to become more streamlined and understand the behaviour of their customers. An experiment was performed to gain knowledge about the impact of delivery and returns policies on consumer buying behaviour. Realistic and trustworthy results were generated by using a random sa
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We have generalized the dynamical mean-field theory to study the doping dependence of the crossover from antiferromagnetic to short-range order modeled by an incommensurate spin density wave in the Hubbard model. The local self-energy which includes spin fluctuations gives quasiparticle weights and spectral properties in good agreement with quantum Monte Carlo and exact diagonalization data in two
