A new Python wrapper for the Cuba library
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Updated
Oct 12, 2024 - C
A new Python wrapper for the Cuba library
Master Lab: Conditional Resampled Importance Sampling and ReSTIR
RascalC: A Fast Code for Galaxy Covariance Matrix Estimation
Monte Carlo Method (MCM) for incorporating measurement uncertainty in the frequentist analysis of occupational exposure by inhalation to chemical agents
Library for multidimensional numerical integration with four independent algorithms: Vegas, Suave, Divonne, and Cuhre.
Uni{corn|form} toolkit
Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
Pi Approximation written in C++17
Monte Carlo (MC) Integration and simulations in R and Python
A PyTorch implementation of adaptive Monte Carlo Optimal Transport algorithm
A package for multi-dimensional integration using monte carlo methods
Evaluating total cross sections from differential cross sections for 2->n processes, with n>2, can be challenging. This code is intended for solving such problem for massless initial and final state particles and n=3,4 and 5. Furthermore, the framework is kept as simple as possible for this single task.
VegasFlow: accelerating Monte Carlo simulation across multiple hardware platforms
Computing definite integrals using a Monte Carlo method.
feyntrop integrates Feynman graphs using tropical sampling
Monte Carlo integration is particularly useful when dealing with high-dimensional integrals or integrals over complex, irregularly shaped domains where traditional methods may be impractical. It's widely used in various fields, including physics, finance, and engineering, for solving problems involving numerical integration.
Generate GGX convoluted octahedron mapped textures from cylindrical hdr images.
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