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A new metaheuristic optimization algorithm, called Cuckoo Search (CS), is fully implemented, and the vectorized version is given here. This code demonstrates how CS works for unconstrained optimization, which can easily be extended to solve various global optimization problems efficiently.

OpenCOCONE is a software library for creating triangulated surface models from point clouds with an algorithm called as COCONE. The COCONE algorithm itself is created by Tamal K. Dey.

MacMakk is a tournament management program for go, the asian boardgame. It uses a new ranking algorithm, called McMakko. It is intended to be portable, with Linux and Windows being the main targets.

The Affinity Propagation (AP) clustering algorithm
proposed by Frey and Dueck (2007) provides an understandable,
nearly optimal summary of a data set. However,
it suffers two major shortcomings: i) the number of clusters is

Non-parametric regression is widely used in many scientific and engineering areas, such as image processing and pattern recognition.

Non-parametric regression is about to estimate the conditional expectation of a random variable:

This toolbox is a fully object-oriented toolbox with a GUI for Bayesian Wavelet Networks. It is easy to use.
The training method is used here is one of powerfull, off-line training algorithm, called Hybrid Markov Chain Monte Carlo- based...

A file system filter driver intercepts requests targeted at a file system or another file system filter driver. By intercepting the request before it reaches its intended target, the filter driver can extend or replace functionality provided by...

The code implements the so called Faddeev-Leverrier algorithm to compute the coefficients of the characteristic polynomial of a given matrix and to get the inverse of the matrix without extra cost.

In this file you can find a simple but very effective algorithm for Nearest Neighbour Search which I megalomaniacly called the GLTree.

You want more? go to the Professional version of GLTree

It has been designed for uniformly...

this file you can find a simple but very effective algorithm for Nearest Neighbour Search which I megalomaniacly called the GLTree.

You want more? go to the Professional version of GLTree

It has been designed for uniformly...

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 the algorithm involved on the use of the non-linear forecast of asset's prices based on the nearest neighbour method.

The basic idea of the NN algorithm is that the time series copies it's own past behavior, and such fact can be...

This package implements Remez algorithm. Remez algorithm seeks the minimax polynomial that approximates a given function in a given interval. The package includes four M-files and one PDF-file. The first M-file is called findzero.m, it computes...

These files are the MATLAB code for "Cuckoo Optimization Algorithm (COA)".
Cuckoo Optimization Algorithm (COA) is inspired by the life of a bird family, called Cuckoo. Special lifestyle of these birds and their characteristics in...

Extended compact genetic algorithm (ECGA) is an algorithm that can solve hard problems
in the binary domain. ECGA is reliable and accurate because of the capability of
detecting building blocks, but certain difficulties are encountered...

Encryption is the process of transforming information or data using an algorithm to make it unreadable to anyone except those who implements it, usually referred to as a key. In our case in order to add more security we add with a constant number....

This is an evolutionary algorithm that returns a random list of prime numbers. This code is highly inefficient for a reason. This algorithm is more of a proof of concept that if a prime was a heritable trait, it would not be a desired one.

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)...

A-star (A*) Shortest Path Algorithm

Dijkstra shortest path algorithm.