# Queue ll in c

The following C project contains the C source code and C examples used for queue ll. demonstrates queue behaviour using linked list
and data hiding techniques

The following C project contains the C source code and C examples used for queue implementation using c++ . implementation of queue in c++: check the program by compiling the code. it is implemented in very nice graphics. Please do not forget to rat this code and to give feed back me about this code. For more programs shajeel.afzal@yahoo.com

The following C project contains the C source code and C examples used for queue. Creates a queue and manipulates.
In normal queue which full, even after deleting an item we cannot add a new item.
In my queue it is possible.

The following C project contains the C source code and C examples used for queue. implementation of queue using linklist.insertion of node at End and deletion of node at Start.Also you can search and sort the queue elements

The following C project contains the C source code and C examples used for priority queue. A priority queue template structure

The following C project contains the C source code and C examples used for circular queue. This program is meant to perform insertion and deletion operation in a circular queue using arrays.

The following C project contains the C source code and C examples used for stacks and queues. To learn how the pointers works and how the memory operates...

The following C project contains the C source code and C examples used for queue. This is a basic queue class implemented using templates, so it can be used with any data type. It includes the standard enqueue() and dequeue() functions and some more.

The following C project contains the C source code and C examples used for non-inclusive random number generator. A non-inclusive RNG class
This RNG will choose a number then not include that number as a choice the next time around
Note: apvector is used by the NIRand class, its included in the zip

The following C project contains the C source code and C examples used for generalised stochastic petrinets. this program manages evalute the performances by using stochastic petrinets.

The following C project contains the C source code and C examples used for card game using queues. This game is entirely text-based.

The following Matlab project contains the source code and Matlab examples used for ornstein uhlenbeck simulations and descretisation error.
1.

The following Matlab project contains the source code and Matlab examples used for simulation of stochastic processes.
Routines for simulating paths of stochastic processes: random walk, Poisson process, Brownian motion and their multidimensional versions, as well as birth-and-death processes, branching and reproduction models. See
http://www.math.uu.se/research/telecom/software/

The following Matlab project contains the source code and Matlab examples used for normalized mutual entropy.
Normalized mutual entropy provides a measure of the diversity of a two dimensional matrix.

The following Matlab project contains the source code and Matlab examples used for approximate entropy.
Approximate Entropy is a measure of complexity.

The following Matlab project contains the source code and Matlab examples used for calculates the sample entropy, in bits, of discrete variables. .
Entropy: Returns entropy (in bits) of each column of 'X'
by Will Dwinnell
H = Entropy(X)
H = row vector of calculated entropies (in bits)
X = data to be analyzed
Note 1: Each distinct value in X is considered a unique value.

The following Matlab project contains the source code and Matlab examples used for joint entropy.
JointEntropy: Returns joint entropy (in bits) of each column of 'X'
Note: Each distinct value is considered a unique symbol.
H = JointEntropy(X)
H = calculated joint entropy (in bits)
X = data to be analyzed

The following Matlab project contains the source code and Matlab examples used for rate varying poisson process generator.
Rate-Varying Poisson-Process generator.

The following Matlab project contains the source code and Matlab examples used for thresholding the minimum cross entropy.
The method of minimum cross entropy chooses "the best threshold" which loses less information during the thresholding.
The principle is to calculate the disance D between two distributions P and Q.
D(P,Q)=sum pi log(pi/qi)

The following Matlab project contains the source code and Matlab examples used for image entropy.
the entropy of an image shows its the quality objectively.

The following Matlab project contains the source code and Matlab examples used for entropy calculator.
In information theory, entropy is a measure of the uncertainty associated
with a random variable.

The following Matlab project contains the source code and Matlab examples used for fast approximate entropy.
Approximate Entropy (ApEn) is a popular tool in analysing the complexity of time series data especially in clinical research.

The following Matlab project contains the source code and Matlab examples used for random barnoulli variable.
There is often a need to generated a random variable that has Bernoulli distribution. This function generates Bernoulli random variables 0 and 1.

The following Matlab project contains the source code and Matlab examples used for von mises random variates.
This function uses an envelope-rejection method based on a wrapped Cauchy distribution to draw random variates from an arbitrary Von Mises distribution, first proposed in [1].

The following Matlab project contains the source code and Matlab examples used for entropy estimation from histogram.
The script calculates the entropy point estimation from 1D histogram of data.

The following Matlab project contains the source code and Matlab examples used for mutual information and joint entropy.
Compute mutual information and joint entropy of two images. For implementing this function also download function joint_histogram.m in my File Exchange.

The following Matlab project contains the source code and Matlab examples used for compute the entropy of an entered text string.
To compute Entropy the frequency of occurrence of each character must be found out.

The following Matlab project contains the source code and Matlab examples used for von mises image entropy.
The local Rényi entropy of a given image is calculated in four equally spaced orientations and used to determine the parameters of the von Mises distribution of the image entropy.

The following Matlab project contains the source code and Matlab examples used for permutation entropy.
% Calculate the permutation entropy
% Input: y: time series;
% m: order of permuation entropy
% t: delay time of permuation entropy,
% Output:
% pe: permuation entropy
% hist: the histogram for the order distribution
%Ref: G Ouyang, J Li, X Liu, X Li, Dynamic Characteristics of Absence EEG Recordings with Multiscale Permutation %
% Entropy Analysis, Epilepsy Research, doi: 10.

The following Matlab project contains the source code and Matlab examples used for multiscale permutation entropy (mpe).
% Calculate the Multiscale Permutation Entropy (MPE)
% Input: X: time series;
% m: order of permuation entropy
% t: delay time of permuation entropy,
% Scale: the scale factor
% Output:
% MPE: multiscale permuation entropy