Search Results for "open ssh windows" - Page 6
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Showing 258 open source projects for "open ssh windows"
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Web interface for python math modules. Developed with web2py. It uses pure python modules for easy deployment . Math2py requires the mpmath library installed with web2py. Download and unzip mpmath in web2py/site-packages
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Simplified Number Conversion! Convert any number of any radix base (base 2-36) to another number of any radix base. It is written in C, and uses GTK+ for the user interface.
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Sempy is a Python package for the solution of partial differential equations using the spectral element method.
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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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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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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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PySparse - A Sparse Matrix Library for Python
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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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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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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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Functions to convert to and from decimal to Canonical Signed Digit representation. Handles fractional numbers. Useful for multiplierless hardware blocks on ASICs, FPGAs etc.
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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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PuLP: An LP modeller in Python PuLP is an LP modeller written in python. PuLP can generate MPS or LP files and call GLPK, COIN CLP/CBC, CPLEX and XPRESS to solve linear problems.
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Improved version of the LibNumTh library (http://libnumth.sourceforge.net/), reimplementing its methods to work concurrently in a SMP environment. In addition, it is extended with support for linear algebra and numerical methods mechanisms.
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Data processing algorithms based on the gnostical theory of uncertain data possess high robustness with respect to both outlying data and changes of their statistical characteristics.
