Search Results for "monte carlo pde"
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Showing 12 open source projects for "monte carlo pde"
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Our computer monitoring software allows employees, field contractors, and freelancers to manually clock in when they begin working on an assignment. The application will take screenshots randomly or at set intervals, which allows employers to observe the work process. The application only tracks activity when the employee is clocked in. No spying, only transparency.
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Deploy Red Hat Ansible Automation Platform on Microsoft Azure for a strategic automation solution that allows you to orchestrate, govern and operationalize your Azure environment.
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MonteCarlo.jl
Classical and quantum Monte Carlo simulations in Julia
MonteCarlo.jl is a package implementing classical and quantum Monte Carlo simulations primarily for solid state physics. Currently the focus is on finding a overall design for the package and verifying that determinant Quantum Monte Carlo (DQMC) is working correctly. As such the package may still go through significant changes and the documentation may be outdated and incomplete. Note that classical Monte Carlo is also not a focus at this point. It is probably usable, but a lot... -
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QuasiMonteCarlo.jl
Lightweight and easy generation of quasi-Monte Carlo sequences
Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML). This is a lightweight package for generating Quasi-Monte Carlo (QMC) samples using various different methods. -
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DynamicHMC
Implementation of robust dynamic Hamiltonian Monte Carlo methods
Implementation of robust dynamic Hamiltonian Monte Carlo methods in Julia. In contrast to frameworks that utilize a directed acyclic graph to build a posterior for a Bayesian model from small components, this package requires that you code a log-density function of the posterior in Julia. Derivatives can be provided manually, or using automatic differentiation. Consequently, this package requires that the user is comfortable with the basics of the theory of Bayesian inference, to the extent... -
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Bayesian Statistics
This repository holds slides and code for a full Bayesian statistics
This repository holds slides and code for a full Bayesian statistics graduate course. Bayesian statistics is an approach to inferential statistics based on Bayes' theorem, where available knowledge about parameters in a statistical model is updated with the information in observed data. The background knowledge is expressed as a prior distribution and combined with observational data in the form of a likelihood function to determine the posterior distribution. The posterior can also be used... -
Track leads, jobs, and tasks from one easy to use software. You can access your information wherever you are, get everyone on the same page, and grow your business.
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AugmentedGaussianProcesses.jl
Gaussian Process package based on data augmentation, and sparsity
AugmentedGaussianProcesses.jl is a Julia package in development for Data Augmented Sparse Gaussian Processes. It contains a collection of models for different gaussian and non-gaussian likelihoods, which are transformed via data augmentation into conditionally conjugate likelihood allowing for extremely fast inference via block coordinate updates. There are also more options to use more traditional variational inference via quadrature or Monte Carlo integration. -
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Bridge.jl
A statistical toolbox for diffusion processes
Statistics and stochastic calculus for Markov processes in continuous time, include univariate and multivariate stochastic processes such as stochastic differential equations or diffusions (SDE's) or Levy processes. -
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RadiationHelper
Alpha, Beta, Gamma measurements and Nuclide exposure
RadiationHelper is a data analysis tool for : 1. gross alpha and beta radiation measurement and detector calibration using experimental data (counts acquired by alpha-beta devices). 2. gamma spectroscopy measurements and detector calibration using experimental data (spectra acquired by acquisition software such as Assayer, Gamma Vision, Maestro) 3. gross alpha,beta, gamma detector efficiencies and gamma peak efficiency can be theoretical computed using Monte-Carlo simulation technique... -
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ICE (Interval Calculator for Engineer)
Interval Calculator for Engineer
ICE is a simple mathematical calculator with very useful shortcuts for Engineer: works natively with tolerance, can run Monte Carlo analysis, uses engineer notation, includes most of the day by day functions used by engineers. -
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Stock ReturnAnalysis
Java program that uses Monte Carlo
This program uses the Monte Carlo simulation to calculate the stock returns .It uses the historical data . -
Out-of-the-box scripts. Around-the-clock monitoring. Unmatched automation capabilities. Start doing more with less and exceed service delivery expectations.
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Seer
Seer is a multipurpose data analysis package for Monte Carlo data.
Seer is a multipurpose data analysis package for Monte Carlo simulation data, particularly for collider physics processes. Seer reads LHCO files and performs a variety of cuts and analyses on the data for either exploratory data analysis or reproduction of experimental studies. -
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vonMises
Package for dealing with the von Mises periodogram
This is the package of C++ programs facilitating the practical use of the von Mises periodogram. The von Mises periodogram is a data-analysis period-search tool that models the periodic signal with the so-called von Mises function, K exp(nu cos x). The package can be used to compute the periodogram itself, as well as its detection significance levels. It can also perform some Monte Carlo simulations of the periodogram. The details of the theory are given in the following refereed paper... -
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MCS is a tool that exploits the Monte Carlo method and, with a complex algorithm based on the PERT (Program Evaluation and Review Technique), it estimates a project's time. MCS is a opensource project and it was devolped by Java Programming Language.
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