Search Results for "distribution"

ExRandom is a small header-only C++11 library for exact sampling from the normal, exponential, and discrete normal distributions (provided that the underlying generator is perfect). This library provides an implementation of the algorithms described in C. F. F. Karney, Sampling exactly from the normal distribution, ACM Trans. Math. Software 42(1), 3:1-14 (Jan. 2016), https://doi.org/10.1145/2710016, https://arxiv.org/abs/1303.6257.

...It is a framework consisting of two elements: a technical document that explains the theory, and a software program that implements it. CCruncher evaluates the portfolio credit risk by sampling the portfolio loss distribution and computing the Expected Loss (EL), Value at Risk (VaR) and Expected Shortfall (ES) statistics. The portfolio losses are obtained simulating the default times of obligors and simulating the EADs and LGDs of their assets.

...This library is written in C++ template classes and achieves high speed by exploring the SIMD-instruction-level and thread-level parallelism within Xeon Phis as well as accelerator-level parallelism among multiple Xeon Phis. To facilitate balanced workload distribution, we have proposed a general framework for symmetric all-pairs computation by building provable bijective functions between job identifier and coordinate space for the first time.

That project aims at providing a clean API and a simple implementation, as a C++ library, of a Travel-oriented Distribution System. It corresponds to the simulated version of the real-world Computerized Reservation Systems (CRS).

SWP is a script language to manipulate sets of isolated weighted point, mainly analysis of fractal and other statistical properties of such sets. Originally started as a tool to explore fractal properties of cosmic fractal like large-scale distribution of galaxies. Could be used for any similar sets either.

QPNet (Quick Petri Net) is a fast Petri Nets' emulator, created by students of Moscow State Technical University of Radio Engineering, Electronics and Automation. It brings benefits for the educational process, while being under further development and extension. QPNet это быстрый эмулятор сетей Петри, созданный студентами МИРЭА. Он применяется в учебном процессе, а так же продолжает разрабатываться и эволюционировать.

Distribution Explorer is a mixed C++ and C# application that allows you to explore the properties of various statistical distributions, & calculate the Cumulative Distribution Function CDF, Probability Distribution Function PDF, or quantiles/percentiles.

...In the present version the project allows one to solve an infinite system of matrix equations which arises in the theory of stability preserving structural transformations of systems of second-order ODEs (see http://arxiv.org/abs/1204.1814). The project "Nonlinear Stourm-Liouville Problems with Distribution Potentials" is developed for solving nonlinear Sturm-Liouville problems with integrable potentials including Dirac delta function. The numerical-analytical method used in the project is called the FD-method. It was first proposed by Professor V.L.Makarov in 1991.To learn more about the problems of such type and the FD-method see, for example, http://arxiv.org/abs/1112.2540.

BIL++ is a set of standalone C++ packages for data processing in Bioinformatics (Graph mining, Bayesian networks, Genetic algorithm, Discretization, Gene expression data analysis, Hypothesis testing).

Collection of routines useful for computational analytical geometry. Not the simple part (like definition of a point, line, plane...) but more of the meat part (distance between a plane and a line, cut between 2 planes...)

test *only* 1) nr3, Poisson distribution 2) mixture model

The fast powerful CALC is a desktop scientific calculator, still is under development and tests. The objective is offer a good and easy to use mathematical tool. I hope you enjoy it.

Corikon is a simple software to visualise the correlation matrix of a set of data, using the iconography of correlations.The first step of the project has been reached: rendering the distribution of data according to the user wills.

This is a Monte-Carlo-Simulation of Poker. After n Monte-Carlo-Steps you get the probability distribution of your predefined problem.