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Software (Computer developments)
BinSeqPy
Atashpendar, Arash
2014
 

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Keywords :
Binary sequences; Subsequence; Supersequence; Information entropy; Combinatorics; Probability distribution; Hidden Word Statistics; Subsequence embeddings; Dynamic programming; Entropy Extremization
Abstract :
[en] BinSeqPy is a library for the Python programming language, aimed at performing experiments and analyses of combinatorial structures dealing with binary (sub/super)-sequences. It provides an array of low-level as well as high-level mathematical functions for addressing a variety of information theory and combinatorial problems involving binary subsequences and their embeddings in supersequences. These range from bitstring transformations, information entropy analysis routines, plotting functions and algorithms related to subsequence embeddings to functions dedicated to hidden word statistics.
Disciplines :
Mathematics
Computer science
Author, co-author :
Atashpendar, Arash ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Language :
English
Title :
BinSeqPy
Publication date :
2014
Focus Area :
Computational Sciences
Commentary :
Source code available upon request.
Available on ORBilu :
since 21 February 2019

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