We present a real space renormalization group (RSRG) approach to a model of self-avoiding walks (SAW) with attractive interactions, which is expected to describe the θ-point transition of linear polymers. Both in two and in three dimensions the results of our approximations are physically sound...

A parametric approach, to measure randomness in time series, is presented. Time series are modelled by a kernel machine performing regularized least squares and the leave-one-out (LOO) error is used to quantify unpredictability. On analyzing simulated data sets, we find that structure in data...

We measure the persistence exponent in a phase separating two-dimensional spin system with non-conserved dynamics quenched in a region with four coexisting stripe phases. The system is an Ising model with nearest neighbor, next-to-the-nearest neighbor and plaquette interactions. Due to the...