It is a 2-Dimensional Random Walk process program in matlab.
Persistent random walk has been used as a model to study directional migration of cells.
Discrete-time models: random walk, ARMA, fractional integration, GARCH). Continuous-time counterparts: Levy processes, Ornstein-Uhlenbeck, fractional Brownian motion, stochastic volatility, subordination. To walk through the code and for a...
The priors may be: Litterman random walk plus drift prior; Raynauld-Simonato seasonal random walk plus drift prior or Canova prior: seasonal and non-seasonal unit roots via stochastic constraints + Litterman prior. Combination is achieved using...
The priors may be: Litterman random walk plus drift prior; Raynauld-Simonato seasonal random walk plus drift prior or Canova prior: seasonal and non-seasonal unit roots via stochastic constraints + Litterman prior. Combination is achieved using...
[DIMENSION STANDARD_DEV] = fractalvol(DATA) calculates the fractal dimension of the 1 dimensional random walk, DATA. DATA is assumed to be a function of its indices. Finds fractal volatility by embedding in the unit square and box ...
These files show how MATLAB can be used to simulate random walks both on a lattice in N-dimensions and on a graph. The zip file contains the following:
RandDir: generates a random basis vector on a lattice RandGraphMove: Given a...
A Dynamic environment is one in which either the obstacles or the goal or both are in motion. In most of the current research, robots attempting to navigate in dynamic environments use reactive systems. Although reactive systems have the advantage...
The package CopsRobber is a small collection of Matlab functions which perform various calculations related to the CR game. In this game one or more cops move along the edges of a graph G with the goal of capturing a robber. The robber may be...
I've worked on a random user generator in C a long time ago, so I thought I'd make an advanced version of it in Python(3.2). I'll have you know, I am an amateur in Python and even programming for that matter so I'd really appreciate some criticism...
This recipe returns a list of size n such that the contents of the returned list are random 0s and 1s. It returns a random binary list of size n.
This (quick but strangely satisfying) recipe combines the use of random.choice with functools.partial from the standard library. It is a factory function returning random.choice pre-filled with its sequence of options.
This function returns a random element from a sequence. The probability for each element in the sequence to be selected can be weighted by a user-provided callable
Numerical Integration using random sampling.
Generating N random numbers that probability distribution fits to any given function curve.
Calculating PI using random numbers (Monte Carlo method)
3d Surface fitting to N random points. It draws the surface by converting z values to RGB colors.
Returns a random, password-suitable string with the specified number of characters. base64 stores 6 bits in each (8-bit) output character, hence the coefficient.
Implements a complementary-multiply-with-carry psuedo-random-number-generator. Period is 3636507990 * 2 ** 43487 (approximately 10 ** 13101).
This is a class that allows you to set up an arbitrary probability distribution function and generate random numbers that follow that arbitrary distribution. |