Search Results for "gnu/linux" - Page 8
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Showing 344 open source projects for "gnu/linux"
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This software aims help students of analytic geometry courses by visualizating several key concepts.
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This project hosts tools used for analysis of Gaussian Mixture Distributions (GMDs) which are used for statistical signal processing. The tools are libraries for implementing GMD operations and programs used to analyze properties of GMDs.
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Worst Cases is a python script that enables calculations on worst case objects. Like a calculator operating on worst cases (e.g. [1,2,3]) rather than on real numbers (2.35) WARNING: This program is released as is, and has never been extensively teste
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This program minimizes boolean expressions. After combining minterms as far as possible, the program draws a chart of prime implicants which the user can easily read and manipulate to remove any remaining superfluous implicants.
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Educative desktop application that it's main goal is develop any kind of mathematical operation in an easy and quick way. It's focus to users that don't have programming knowledge.
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Model Builder is a graphical tool for designing, simulating and analyzing Mathematical models consisting of a system of ordinary differential equations(ODEs).
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ReliaFree is a Python and PyGTK based suite of tools to assist in Reliability, Availability, Maintainability, and Safety (RAMS) analyses. ReliaFree is intended to be an Open Source alternative to proprietary RAMS analyses solutions.
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snlanalytic is a small Python script that takes a stem-and-leaf plot as input and returns basic statistics (sum, mean, median, mode) to the user.
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PyCV is a Python package of modules useful for computer vision tasks. Its current focus is on boosting techniques, Haar-like features, and face detection. PyCV provides the world's fastest method for training a face detector, in a few hours.
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A Python environment for large and sparse linear and nonlinear optimization using intuitive interfaces to linear algebra tools and subproblem solvers written in low-level languages. It provides building blocks to experiment with new ideas and algorithms.
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clac (Command Line Advanced Calculator) evaluates mathematical expressions from the argument list or from stdin and writes the answer(s) to stdout.
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In knight tour (kt) problem every chess square is visited exactly once using knight moves. In this game some knight moves already made and we have an incomplete kt. The object is to complete the kt by guessing missing moves.
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PySparse - A Sparse Matrix Library for Python
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1. Create an object-oriented python script that can represent mathematical concepts and their properties. 2. Represent all numeric values exactly. 3. Provide a variety of formats to export or embed representations of the mathematical concepts.
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This algorithm written in Python solves at least a subset of the Hamilton Circuit problem, which is NP complete, in n^3 time.
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Graphical representation of fractals, IFS's, strange attractors,L-systems and generally chaos theory aspects.
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Hermetica is an educational tool for learning about logic. It functions partly as a proof checker with inline annotations. It will also support python scripting for automated subproofs and calculations. I would especially like help with the artwork.
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An easy way to integrate any function. Uses sympy as a backend. Currently text-mode only, but the goal is to create a very nice, simple, graphical interface using wxPython or PyGTK.
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Linear Algebra Common Expressions (LACE) is a C++ templated library which allows you to operate with matricies and vectors inside your code as easy as on the whiteboard.
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Guanxi is a robust analysis and simulation application for Social Network Analysts. Guanxi allows researchers in the field to create, import, and export an endless array of networks, analyze their structure, and run custom dynamics over them.
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This program generates customizable hyper-surfaces (multi-dimensional input and output) and samples data from them to be used further as benchmark for response surface modeling tasks or optimization algorithms.
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Python program for fitting rate constants to primarily kinetic data as 1st or 2nd order kinetics or autocatalysis. It also allows specific noise cancelling, data smoothing by fourrier transform, box averaging and flowing mean. For Python 2.6 or earlier.
