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.Net VCL for Delphi 1.0.0.0
ASP. NET C# PDF Software 4.5
LinqConnect Professional 4.8
CAD VCL: 2D/3D CAD in Delphi/C++Builder 14
wolfSSL 3.15.7
CAD DLL 14
AnyStock Stock and Financial JS Charts 8.4.2
ODBC Driver for SQLite 2.4
dotConnect for SugarCRM 1.7
dbForge SQL Complete 5.9
dbForge Studio for MySQL 8.0
.Net Runtime Library for Delphi 6.0.4.0
Scimbo 1.64
AnyMap JS Maps 8.4.2
GetOrgChart 2.5.3
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Deals and Discounts Website Script 1.0.2
ADO.NET Provider for ExactTarget 1.0
Solid File System OS edition 5.1
Classified Ad Lister 1.0
Aglowsoft SQL Query Tools 8.2
ICPennyBid Penny Auction Script 4.0
PHP Review Script 1.0
ATN Resume Finder 2.0
ATN Site Builder 3.0
Availability Booking Calendar PHP 1.0
PHP GZ Blog Script 1.1
ATN Jobs Software 4.0
ATN Mall 2.0
WeBuilder 2015 13.3
PHP Digital Download Script 1.0.4
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This is an extremely fast implementation of the famous Hungarian algorithm (aslo known as Munkres' algorithm). The new version (V2.2)is about 1.5 times faster than the old version (V2.1). It can solve a 1000 x 1000 problem in about 20 seconds in a Core Duo (T2500 @ 2.00GHz) XP laptop with Matlab 2008a, which is about 2.5 times faster than the mex code "assignmentoptimal" in FEX ID 6543, about 6 times faster than the author's first...



The Jonker-Volgenant algorithm is much faster than the famous Hungarian algorithm for the Linear Assignment Problem (LAP). This Matlab implementation is modified from the original C++ code made by Roy Jonker, one of the inventors of the algorithm....



Munkres algorithm (also known as Hungarian algorithm) is an efficient algorithm to solve the assignment problem in polynomial-time. The algorithm has many applications in combinatorial optimization, for example in Traveling Salesman problem.



"Hungarian algorithm" to solve the square assignment problem (original & pure MATLAB implementation). The Hungarian algorithm can also be used as a sub-solver in a B&B solver for the travelling salesman problem.

How to...



This function uses the auction principle to return the optimal assignment and the dual prices. It performs quite well, and is way faster than the hungarian algorithm as the number of points increases. More details on the auction algorithm can be...



This implementation is based on the 1968 Murty algorithm for finding a ranked list of the best assignments for an arbitrary cost matrix.

This algorithm uses a user-supplied assignment algorithm, such as the Munkres (Hungarian) algorithm...



SIMPLETRACKER a simple particle tracking algorithm that can deal with gaps

*Tracking* , or particle linking, consist in re-building the trajectories
of one or several particles as they move along time. Their position is
...



auction_match: Compute optimal (maximal) weighted assignment
and the corresponding "lattice of dual prices" supporting the
optimal assignment.
auction_match(disMatrix) computes the optimal assignment for the
given...



With this package, I provide some MATLAB-functions regarding the rectangular assignment problem. This problem appears for example in tracking applications, where one has M existing tracks and N new measurements. For each possible assignment, a...



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.



Floyd-Steinberg dithering is an image dithering algorithm (see http://en.wikipedia.org/wiki/Floyd-Steinberg for more details). While the algorithm is mainly for image manipulation, I use it to create random locations for sensor networt devices.



This is a simple implementation of the famous LZW algorithm.



this algorithm predicts the received signal strength for the mobile user to avoid fluctuation in received signal strength during localization of the mobile user(finding mobile user's location)



NSGA-II is a very famous multi-objective optimization algorithm. I submitted an example previously and wanted to make this submission useful to others by creating it as a function. Even though this function is very specific to benchmark problems,...



Gravitational search algorithm (GSA) is an optimization algorithm based on the law of gravity and mass interactions.This algorithm is based on the Newtonian gravity: "Every particle in the universe attracts every other particle with a force...



A flexible implementation of PSO algorithm with time-varying parameters. Algorithm is suitable for solving continuous optimization problems. Special care has been taken to enable flexibility of the algorthm with respect to its parameters and to...



findMIS is an heuristic algorithm for solving Maximum Independent Set problem (MIS).
An independent set of a graph is a subset of vertices in which no two vertices are
adjacent. Given a set of vertices, the maximum independent set...