GitHub topics: analytic-combinatorics
ACSVMath/sage_acsv
A SageMath package with algorithms for analytic combinatorics in several variables.
Language: Python - Size: 562 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 8 - Forks: 1
linas/fractal
Analytic combinatorics and dynamical systems
Language: PostScript - Size: 247 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 5 - Forks: 0
jlumbroso/encyclopedia-of-combinatorial-structures-data
Encyclopedia of Combinatorial Structures
Language: Makefile - Size: 1.29 MB - Last synced at: about 2 months ago - Pushed at: almost 7 years ago - Stars: 13 - Forks: 0
jlumbroso/reluctant-walks
Reluctant walks tend to exit the quarter-plane in which they are constrained (because of strong negative drift), but this work shows how to randomly sample large reluctant walks anyway. (Lumbroso, Mishna, Ponty, 2017)
Language: Python - Size: 2.33 MB - Last synced at: 8 days ago - Pushed at: about 7 years ago - Stars: 8 - Forks: 1
jlumbroso/python-random-hash
A simple, time-tested, family of random hash functions in Python, based on CRC32 and xxHash, affine transformations, and the Mersenne Twister. 🎲
Language: Python - Size: 32.2 KB - Last synced at: 18 days ago - Pushed at: about 3 years ago - Stars: 9 - Forks: 0
jlumbroso/combstruct2json
Lightweight library to parse combstruct grammars, and standalone tool to convert them to JSON.
Language: C - Size: 989 KB - Last synced at: 26 days ago - Pushed at: almost 7 years ago - Stars: 7 - Forks: 0
jlumbroso/boltzoc
Fast, Standalone Oracle for Analytic Sampling of Trees
Language: C - Size: 32.2 KB - Last synced at: 3 months ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 0
jlumbroso/random-degree-constrained-trees
Jupyter notebook that fully implements Analytic Samplers for degree-constrained trees using only standard Python functions (and no separate symbolic computation library).
Language: Jupyter Notebook - Size: 153 KB - Last synced at: 2 months ago - Pushed at: about 7 years ago - Stars: 6 - Forks: 1