numericalEFT / MCIntegration.jl

Robust and fast Monte Carlo algorithm for high dimension integration

https://numericaleft.github.io/MCIntegration.jl/dev

numericalEFT/MCIntegration.jl Issues

Support quasi Monte Carlo
Updated 5 months ago2
DoStringextensions / HDF5 Outdated
Updated 5 months ago2
Fail to deal with integrands with singularities: a simple case
Closed 6 months ago1
Make MPI into a package extension
Updated 7 months ago3
add autosave for MC calculation. Automatically save after given time interval or received kill signal
Updated 7 months ago
TagBot trigger issue
Closed 3 years ago14
GPU support
Updated 10 months ago
Batch support
Updated 10 months ago
add Graph variable to support Discrete variables sampled from their neighbors
Updated 10 months ago1
support callback functions and signal mechansim
Updated 10 months ago1
refactor user API
Closed 10 months ago1
Bug with vegasmc and vegas with user-defined datatype
Closed 10 months ago1
Incompatibility with built-in functions when `var` is provided as a tuple.
Closed a year ago5
Sample from learned variables directly
Closed a year ago4
Thread support
Closed 2 years ago
cached variable
Closed 2 years ago1
improve MC sampling algorithm
Closed 2 years ago
Fails examples
Closed 2 years ago1
adapative variable sampling
Closed 2 years ago
simplify measurement interface
Closed 2 years ago
error handling of complex observable has a bug
Closed 2 years ago
The metropolis algorithm should be more careful with zero weight input
Closed 3 years ago
Variables must be initialized randomly
Closed 3 years ago