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A Review on Schelling Model POON Ming Kei 26 Mar 2020 Instructor name: Shingyu Leung Abstract In this paper, we would investigate how different parameters of the Schelling’s model on social segregation affects the end result such as the overall satisfaction level and the number of iterations taken to reach convergence. 1. Introduction In any

Discrete-time LTI systems in the time domain In this topic we investigate the response of a discrete-time linear time-invariant system to an input signal. We start with the case of discrete-time systems, because it is mathematically simpler than the continuous-time case. The basic approach we take is to: • observe that any DT signal can

#include “sparseinv.h” /* Z = sparseinv_mex (L, d, UT, Zpattern) Given (L+I)*D*(UT+I)’ = A, and the symbolic Cholesky factorization of A+A’, compute the sparse inverse subset, Z. UT is stored by column, so U = UT’ is implicitly stored by row, and is implicitly unit-diagonal. The diagonal is not present. L is stored by column,

function varargout = subdir(varargin) %SUBDIR Performs a recursive file search % % subdir % subdir(name) % files = subdir(…) % % This function performs a recursive file search. The input and output % format is identical to the dir function. % % Input variables: % % name: pathname or filename for search, can be absolute