Search Results for "good"

...An extension system, based on the GLSL extension conventions, provides extended capabilities: matrix transformations, quaternions, data packing, random numbers, noise, etc. This library works perfectly with OpenGL but it also ensures interoperability with other third party libraries and SDK. It is a good candidate for software rendering (raytracing / rasterisation), image processing, physics simulations and any development context that requires a simple and convenient mathematics library. GLM is written in C++98 but can take advantage of C++11 when supported by the compiler.

...Dhooge, and W. Govaerts, Yu.A. Kuznetsov, H.G.E. Meijer and B. Sautois, MCMDS 2008, Vol. 14, No. 2, pp 147-175 In case you're stuck, use the forum, but to get a good answer provide: 1. What command do you give when this appears? Provide the exact steps. Stating "no convergence" is not enough. 2. Most procedures are explained in the Tutorials. There is a manual with detailed descriptions of the data.

...Models are defined using flowcharts on a drawing canvas (as are Matlab's Simulink, Vensim, Stella, etc). Minsky's unique feature is the "Godley Table", which uses double entry bookkeeping to generate stock-flow consistent models of financial flows. Minsky is good for demonstrating mathematics too, with the most "math-like" interface in system dynamics. Sign up to Minsky's Patreon page (for as little as $1 a month) at https://www.patreon.com/Ravelation/. This creates a user community, which SourceForge doesn't facilitate.

...It attempts to mimic the functionality of an HP ReversePolishNotation [RPN] calculator with the added enhancement of interval output. So along with your answer, you get a good idea of its trustworthiness. This app uses GAOL, a C++ library to perform arithmetic with floating-point intervals.

* Fast GPU linear algebra library (matrix maths) for the C++ language, aiming towards a good balance between speed and ease of use * Provides high-level syntax and functionality deliberately similar to Matlab * Provides an API that is aiming to be compatible with Armadillo for easy transition between CPU and GPU linear algebra code * Useful for algorithm development directly in C++, or quick conversion of research code into production environments * Distributed under the permissive Apache 2.0 license, useful for both open-source and proprietary (closed-source) software * Can be used for machine learning, pattern recognition, computer vision, signal processing, bioinformatics, statistics, finance, etc * Downloads: http://coot.sourceforge.io/download.html * Documentation: http://coot.sourceforge.io/docs.html * Bug reports: http://coot.sourceforge.io/faq.html * Git repo: https://gitlab.com/conradsnicta/bandicoot-code

...Requires Java 5 or later. Also available on github since 2015/12/13: https://github.com/jeffhain/jafaran Principal classes: - Implementations using Mersenne-Twister algorithm (good pseudo-randomness): MTSyncRNG MTSeqRNG - Implementations using Marsaglia Xor-Shift (fast): MXSIntSeqRNG (32 bits) MXSLongSeqRNG (64 bits) (nextLong() faster, larger period) - Ziggurat: Random-based implementation of Ziggurat algorithm.

SAT solvers are being used more and more in partial key exposure attacks. The scope of this script is to show that SAT solvers can be used in partial key exposure attacks of RSA with very good results.

A collection of compact, powerful programs and functions, written in C, for the analysis and transformation of data. No object or structure dependencies, no fancy interfaces - just good tools.

Fractals explorer which using GCC or my own evaluator for formulas compiling. Also QFractals support biomorphs colouring.

a simple software implemented FPU. only 32bit precision is supported and the operation result is not accurate as modern FPUs, but it is light and compact. (uses simple 32bit integer operations only, good for machines that has no hardware FPU.)

Lightweight matrix lib, especially good for micro-blaze or other embedded processor which needs to do matrix operations. Supports Add, Subtract, Multiply, Transpose, and Invert (Cholesky Method). Compiles to 15kbs using -0s and is ISO C compliant.

This is module for basic computation with floating point numbers. Numbers can have very wide mantissa for good precision, for realize "arbitrary-precision arithmetic". Module was adapt for BCB and MSVC compilers. Russian comments.

Tiny Flash ActionScript Speed math program to train rapid multiplication and addition. Good for any age who wants to improve arithmetic and general maths skills. Quick mathematics is useful.

GraphCalc is a very gui graphing calculator. It has been called a good replacement for a TI-85. It is a must for any high school math student.

FlameCalc is an RPN caclulator by the good folks at the Flame Design Group. It is written in Java with the intent to remain GCJ compatible and eventually evolve into a useful RPN language. HTTP-loaded scripts and Java plugins are supported.

Tim Peters' FixedPoint.py + Write docs for the Library Reference manual. I expect the existing module docstring will be a good start. + Create a test driver for Python's regression suite. + Have fun modernizing it, if you like (for example,