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ModelicaFloChrt is a script/Perl process that extracts information from Modelica library html help files and generates flow charts of module connectivity in eps and pdf formats.



This is a pure Python implementation of the rsync algorithm. On my desktop (3.0GHz dual core, 7200RPM), best case throughput for target file hash generation and delta generation is around 2.9MB/s. Absolute worst case scenario (no blocks in common)...



SpeedyGA is a vectorized implementation of a genetic algorithm in the Matlab programming language. Without bells and whistles, it faithfully implements the specification for a Simple GA given on pgs 10, 11 of M. Mitchell's GA book. See comments in...



This is an application of the Greedy Algorithm and the Local Search for finding a solution for the SC Distribution Network problem.
We dealt with one level SC composed of a set of factories and a set of Sales Points, each sales point has a...



Implementation of Valiaho's algorithm to determine the handicap based on paper

H. Valiaho. Determining the handicap of a sufficient matrix. Linear Algebra and Its Applications, 253:279-298, 1997.



a kind of usefull clustering algorithm that is better than kmeans and ward hierarchical clustering algorithms in some data sets



The recipe illustrates a Python implementation of the bitsort algorithm. This algorithm is illustrated in the book "Programming Pearls" by Jon Bentley. The bitsort algorithm provides a very efficient way to sort large numbers in disk files.



This script demonstrates the influence of range reduction algorithm at low bitrate encoding using JPEG encode. The range [0-255] of pixel values is mapped to [64-235] in this script using a look-up-table. Subsequently, the file is compressed to...



This code implements the basic back propagation of error learning algorithm. the network has tanh hidden neurons and a linear output neuron, and applied for predicting y=sin(2pix1)*sin(2pix2).
We didn't use any feature of neural network toolbox.



I was trying out modifications of the LMS algorithm so that it will converge faster and the mean square error will also be smaller. Getting to one of the drawbacks of LMS, that it has only one controllable parameter "mu", the selection...



With this m-file, you can plot or create the matrix which is the Renko Chart of GBPJPY currency pair. Use a .CSV file with fields:

(serial date) , (open) , (high) , (low) , (close) , (volume)
e.g.

40367 133.18 134.59...



Example of Range Migration Algorithm to the identical chapter in book: Carrara G."Spotlight Synthetic Aperture Radar: Signal Processing Algortithms" Artech House 1995.



This function solves the system of linear equations A*x=b, using the simplest form of the SQMR algorithm without look-ahead, where A is square and symmetric.

SQMR is an adaptation of the general nonsymmetric QMR method to exploit the...



This is a multiparticle version of the CMorph algorithm previously submitted. The algorithm takes the gradient of the image, and then applies decreasing thresholds and fill operations to attempt to identify objects. One it has found the objects,...



This is an implementation of the dijkstradlDLs algorithm, which finds the minimal cost path between two nodes. ItdlDLs supposed to solve the problem on
positive weighted instances.



A demonstration of the fast algorithm built in to the chebfun system for computing the nodes and weights of Gauss-Legendre quadrature.



This plugin adds a graphical chart of the FireStats statistics plugin on the admin dashboard.
It supports i18n

Require FireStats >= 1.6.3
Not tested on WPMU



Displays a top 10 chart of your Joomla weblinks. There are enough parameters in the admin panel to change how many to display, in what order, and what details to display. Uses a basic HTML table which you can suffix a CSS class to and design.



An implementation of the rijndael algorithm. You can use keys of 128, 192 or 256 bits, with 4 different modes: ECB, CBC, OFB, CFB.



An object oriented library of an Genetic Algorithm, implemented in Java. Clear separation of the several concepts of the algorithm, e.g. Gene, Chromosome, Genotype, Phenotype, Population and Fitness Function. The fitness calculation is parallelized.