Home/science/py311-dwavebinarycsp

py311-dwavebinarycsp

0.3.0_2

DWave: Map CSP with binary variables to binary quadratic models

dwavebinarycsp is a library to construct a binary quadratic model from a constraint satisfaction problem with small constraints over binary variables.

Origin: science/py-dwavebinarycsp

Category: science

Size: 290KiB

License: APACHE20

Maintainer: yuri@FreeBSD.org

Dependencies: 4 packages

Required by: 0 packages

Website: docs.ocean.dwavesys.com/projects/binarycsp/en/latest

$pkg install py311-dwavebinarycsp

Dependencies (4)

python311 py311-penaltymodel py311-networkx py311-dimod

More in science

py311-scipy1.11.1_4,1

Scientific tools for Python

hdf51.12.2_2,1

Hierarchical Data Format library (from NCSA) (latest)

py311-scikit-learn1.7.2

Machine learning algorithms for python

libaec1.1.4

Adaptive entropy coding library

netcdf4.9.3

C library for machine-independent, array-oriented data access

py311-h5py3.15.1

General-purpose Python interface to the HDF5 library

p5-Chemistry-Mol0.40

Perl toolkit to describe molecules

libxc6.2.2

Library of exchange-correlation functionals for DFT

py311-libpysal4.13.0

Core components of PySAL A library of spatial analysis functions

py311-dimod0.12.21

DWave: Shared API for QUBO/Ising samplers