Reference : BinSeqPy
Computer developments : Software
Physical, chemical, mathematical & earth Sciences : Mathematics
Engineering, computing & technology : Computer science
Computational Sciences
Atashpendar, Arash mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
[en] Binary sequences ; Subsequence ; Supersequence ; Information entropy ; Combinatorics ; Probability distribution ; Hidden Word Statistics ; Subsequence embeddings ; Dynamic programming ; Entropy Extremization
[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.
Source code available upon request.

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