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 Matrix Chain Multiplications Using Threads 

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Perform Multiple Tasks Using Threads is an article in which author elaborates the procedure for creating and managing multithreaded programme with the help of C# mechanisum. In this tutorial users can learn about procedure for creating a thread with the help of classes. The author describes the procedure for using object-oriented techniques in C# and .NET for providing thread facility to programme.

Cooperative multitasking offers an alternative to using threads. It can be harder to use in some cases (blocking IO) but in other it can be much easier (sharing data between tasks). This recipe shows how to use generators to achieve simple,...

These functions show some advances about MPF (Matrix Polynomial Fraction) using for represent multivariable models and design multivariable control system.

Matrix permanent calculated using the fast Ryser Algorithm.
Uses the Ryser Formula to calculate the permanent of a matrix. It is O((n^2)(2^n)) which is much faster than the naive algorithm O(n!n). The determinate of a matrix is defined as the...

When you're new at threading, using threads can be a bit daunting at first. If all you want is just to "run this function in parallel (= asynchronously) to the main program code", then this recipe can be of use. Simply use...

This will be an educational project for using threads and text-pattern-search in Java together with visualization. The people working on this project are only students of computer science. This work will supplement lectures and courses at the...

SSA generates a trayectory matrix from the original series by sliding a window of length L. The trayectory matrix is aproximated using Singular Value Decomposition. The last step reconstructs the series from the aproximated trayectory matrix. The...

Using signals to timeout a function such as in:
won't work if the function you are calling overrides the alarm. Using...

This script allows using twisted with wxPython at the same time without them stepping on each others toes.
I'm so sorry for the messyness of it. I haven't found the time to tidy it up.
The thing is it works, we use it in our kiosk...

Because the matrix multiplication is associative; the product can be carried with different order, leading to the same result up to round-off error, MMTIMES usings "optimal" order of binary product to reduce the computational effort...

When executing a long running task, it is often useful to provide some feedback to the user. In a console program, this often consists of text such as "Running...." where a dot is printed (say) each second.

Adding a progress...

Rigid body 2-D image co-registration (translation and rotation) is performed using maximization of mutual information.

Function is implemented in c-code and compiled using the Matlab compiler to minimize computation time. Current...

PyHeartbeat detects inactive computers by sending and receveing "heartbeats" as UDP packets on the network, and keeping track of how much time passed since each known computer sent its last heartbeat. The concurrency in the server is...

System events for your social network. Ability to attract members of the network to the ongoing activities. The plugin is in testing, may not operate some features! Please give your suggestions for new features and improving existing ones. Please...

Fisher's exact test of 2x2 contingency tables permits calculation of precise probabilities in situation where, as a consequence of small cell frequencies, the much more rapid normal approximation and chi-square calculations are liable to be...

Binary Matrix Fractals using recursion.
It can convert any given binary matrix pattern into a fractal.

Binary Matrix Fractals using iteration method.
It can produce a fractal from any given binary matrix pattern.

This recipe shows how to profile threads in Python by using custom profiler function.

The MultiThread module provides a simple abstraction to execute a function on many sets of arguments in parallel using a bounded pool of threads.

Represent a wavefront as a sum of Zernike polynomials using a matrix inversion.
This function attempts to solve the a_i's in equation, phi(rho,theta) = SUM(a_i * Z_i(rho,theta), i=1 to M),
where the Z_i(rho,theta)'s are the Zernike...