Search Results for "learning linux command line" - Page 6
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Showing 135 open source projects for "learning linux command line"
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Octave interface to the finite elements library Libmesh. Under the scientific interpreted language Octave, Octmesh allows using the Libmesh characteristics for the numerical simulation of partial differential equations on serial and parallel platforms.
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Console based application which should compile on any system supporting c++. Includes calculations like blood alcohol content, 1/4 mile run, liter conversion, etc.
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Numerically estimate an efficiency of code construction algorithms. Randomly generate n binary words of length m with minimum Hamming distance d and create a prefix code (= retrieval tree) from them. Based on PhD work.
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X-Bc (formerly: xbc) is a graphical user interface to the command line calculator bc. All Inputs and Outputs stays visible for editing and comparing. Functionality: trigonometry, number-theory, exponential funcs, scientific constants, primenumbers ...
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SymDiff is a little command line tool for symbolic differentiation and expression evaluation. Furthermore, the code can be used for the symbolical implementation of certain mathematical algorithms that require derivatives.
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The Point Cloud Compiler is a tool for converting point cloud image (3D) to human-visible image (2D) by orthogonal projection.
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Zoser is a set of math tools for integration, interpolation, polar-Euler coordinate conversion, Euler-angle-to-quaternion conversion, quaternion-to-rotation-matrix conversion, etc. Zoser is written in Standard C++ and uses GNU Scientific Library.
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Multicriterial multicast test platform
A platform for testing multicriterial multicast algorithms
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OPALS (OPen ALgebra Solver) is an open source program designed to make solving algebraic problems much easier. It aims to eventually provide an easy way to integrate, differentiate, and perform other complicated mathematical operations on expressions.
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Improving the speed of the signal analysis code for Seti@home. Leveraging modern processors advanced features such as SIMD and parallel execution units, as well as identifying better methods to code existing functions.