Open Source Algorithms - Page 43

Program by: Ravi Sharma (rvisharma) Prime-Number-Finder-using-Sieve-of-Eratosthenes =============================================== Finds Prime Numbers using Sieve of Eratosthenes Algorithm This Program gives you the prime number upto N Integers, Sieve of Eratosthenes Algorithm is used to determine the Prime Number To find the Prime Number, in the console Shell call the prime_finder(N) function, prime number will be given upto N integer. At first you will be prompted with an input, after that you can call it using function prime_finder(n) example call: >>>prime_finder(10) #output [2,3,5,7] (Int) -> (list)

This project considers the problem of calculating primes as a sorting problem. It includes the most efficient tree-based sorting algorithm that is possible and shows that finding a new prime can be done by sorting the differences between the previous primes in the right way. Unfortunately it has turned out that going this way is even more slowly than trying to find primes by brute force. So it can only be used as a test with heavy load for the sorting algorithm, which can be used for sorting any kind of data. And as already mentioned, it's just the most efficient tree-based sorting algorithm that you can get. But furthermore this way of finding primes interestingly leaves a hard nut to crack for mathematicians: In very rare cases it finds numbers that are not primes. For all primes below one million this phenomenon arises in exactly two cases: 31213 which is 7 * 7 * 7 * 7 * 13 336141 which is 3 * 3 * 13 * 13 * 13 * 17 Who can explain, why?

ProViz is a program visualization framework for Java. It is built as a plugin to the Eclipse IDE. (We are getting close to publishing resources and making this project distributable. Stay tuned!) A video demo: http://www.youtube.com/watch?v=BsoK1n-OM

PAK is a collection of library code to handle the overhead of coding things like read-write locks, reflective multithreaded programming and simple file io. This is a java library collection, please see my API below...

A whole lot of source code related to programming Linux systems with C

The project CIF now created with new philosophy of JPM (Joint Project Module) with SDK style. Now simply include CIF.h and use all of functions, macros and classes. BTS (Basic Text Support) Library Used in TOM (Text Object Module). TOM for now with CAnsiString , CAnsiStringLite And Text namespace. CAnsiString created with more functionality then typical string and text classes. EVS (Enhanced Visual Support) provide COpenFileDialog And CSaveFileDialog. JCM (Joint Core Module) used as base in project. Properly support for a class available TPT (Template Properly Type) and VTM (Value Type Macro). BTS,EVS,JCM,TOM,TPT,VTM are parts of project CIF. CIF5SDK used in project Bytes Counter. Project Core Information Foundation (CIF) is created by Muhammad Arshad Latti.

Schedule Tool is a utility for predicting the duration of projects from a series estimated task times. This tool converts the estimates to probabilities of success, and convolves successive tasks to give an estimated date of completion.

Promote is an easy to use, generic data structure and utility library for C,C++, and possibly more.

Model-based AI planner using binary decision diagrams. PropPlan parses PDDL descriptions of the domain and the problem, and outputs a plan.

Academic project aiming to write an alife Avida-like program in java.

Provisio.Collections brings STL like iterator-based containers to the .Net world (especially C#). It offers fundamental sequential (vector/list/deque) and associative (tree/skiplist) containers that can be filled, traversed and modified using iterators.

A proximity forest is a data structure that allows for efficient computation of approximate nearest neighbors of arbitrary data elements in a metric space. See: O'Hara and Draper, "Are You Using the Right Approximate Nearest Neighbor Algorithm?", WACV 2013 (best student paper award). One application of a ProximityForest is given in the following CVPR publication: Stephen O'Hara and Bruce A. Draper, "Scalable Action Recognition with a Subspace Forest," IEEE Conference on Computer Vision and Pattern Recognition, 2012. This source code is provided without warranty and is available under the GPL license. More commercially-friendly licenses may be available. Please contact Stephen O'Hara for license options. Please view the wiki on this site for installation instructions and examples on reproducing the results of the papers.

pvmfractal is a highly customizable fractal viewing application, that can work interactively as an SDL or Curses app, or in batch mode as a console app. It includes many coloring algorithms, layers, and can use multiple computers for calculation using PV

A univariate and multivariate analysis UI. This project is no longer under development. Please use as you wish.

PyLife is an implementation of the game of life algorithm featuring parallel programming. It uses MPI and python to achieve a consistent software architecture and reliably performance.

PyPlayground is an environment for developing algorithms involving movement in a space of up to three dimensions using Python.

PyVision is a object-oriented Computer Vision Toolkit for researchers that contains vision and machine learning algorithms and algorithm analysis and easily interfaces with scipy/numpy, PIL, opencv and other computer and machine learning libraries.

A Python module to learn all the major algorithms on the go! Purely for educational purposes. If you are using Python 2.7 use pip instead. Depending on your permissions, you might need to use pip install, user pygorithm to install. To see all the available functions in a module, you can just type help() with the module name as an argument.

An attempt to discover new kinds of Fractals by generalizing Pythagoras's Theorem into higher dimensions and negative numbers. Pythagoras Theorem when a < 0.0 and b >= 0.0 : c^2 = a^2 + b^2 * (((a*a + b*b)^0.5 - b)^2.0/(b - (a*a + b*b)^0.5)^2.0) c^2 = a^2 + b^2 * (((a*a + b*b)^0.5 - b)^2.0/(b - (a*a + b*b)^0.5)^2.0) * 1.0 c^2 = a^2 + b^2 * (((a*a + b*b)^0.5 - b)^2.0/(b - (a*a + b*b)^0.5)^2.0) * (-1.0 / -1.0) c^2 = a^2 + b^2 * (((((a*a + b*b)^0.5)*i - b*i)^2.0)/(b*i - (((a*a + b*b)^0.5)^2.0)*i)) Pythagoras's Theorem with negative numbers : For a < 0 and b >= 0 : c^2 = a^2 + b^2 * (((((a*a + b*b)^0.5)*i - b*i)^2.0)/(b*i - (((a*a + b*b)^0.5)^2.0)*i)) for a >= 0 and b < 0 : c^2 = b^2 + a^2 * (((((a*a + b*b)^0.5)*i - a*i)^2.0)/(a*i - (((a*a + b*b)^0.5)^2.0)*i)) for a < 0 and b < 0 : c^2 = a^2 + b^2 for a >= 0 and b >= 0 : c^2 = a^2 + b^2 There is Pythagoras's Theorem on Complex Plane numbers.

Pytholog Tool (Command line & API) An executable tool, built in python, that enables logic programming and prolog syntax through interactive shell that mimics prolog language and / or RESTful API that can be called from other applications. The tool is based on the python library pytholog which can be found here: https://github.com/mnoorfawi/pytholog The tool starts normally from the command line. Let's look at the arguments that can be specified while initiating the tool: $ ./Pytholog -h usage: Pytholog [-h] [-c CONSULT] -n NAME [-i] [-a] pytholog executable tool: prolog experience at command line and a logic knowledge base with no dependencies optional arguments: -h, --help show this help message and exit -c CONSULT, --consult CONSULT read an existing prolog file/knowledge base -n NAME, --name NAME knowledge base name -i, --interactive start an interactive prolog-like session -a, --api start a flask api

A Python library for easy creation and manipulation of Google Earth KML and KMZ placemark files. Please get your copy from http://pykml.cvs.sourceforge.net/viewvc/pykml/pykml/?view=tar

A neural net module written in python. The aim of the project is to provide a large set of neural network types accessed by an API that is easy to use and powerful.

This project provides a set of Python tools for creating various kinds of neural networks, which can also be powered by genetic algorithms using grammatical evolution. MLP, backpropagation, recurrent, sparse, and skip-layer networks are supported.

Bit operations on integers for Python - fast C implementation of bit extraction, counting, reversal etc.