Add to ORKGIn his comprehensive 1977 survey of permutation generation methods, Sedgewick [4] stated that "(reversing) seems to be inherent in lexicographical (permutation) generation". It is the purpose of this paper to give an algorithm which does not use reversing and to show its relationship to the classical reversing algorithm of Ord-Smith [3]. We also give a number of related algorithms to illustrate the flexibility of the new algorithm
Permutation sorting, one of the fundamental steps in pre-processing data for the efficient applicati...
Reversible Primitive Permutations (RPP) are recursively defined functions designed to model Reversib...
International audienceBackgroundTraditional algorithms to solve the problem of sorting by signed rev...
Absract. Evolutionary algorithms are an effective way of solving search problems. They usually opera...
In this paper, we consider pattern avoidance in a subset of words on$\{1,1,2,2,\dots,n,n\}$ called r...
Reversals and transpositions are the most common kinds of genome rearrangements, which allow us to e...
AbstractSorting permutations by reversals is one of the most challenging problems related with the a...
An exchange based technique for generating permutation is presented in this paper.This strategy invo...
Gröbner bases, in their noncommutative version, and word reversing are methods for solving the word ...
[EN] Essentially, in a reversible programming language, for each forward computation from state S to...
Ordinary representations of permutations in Genetic Algorithms (GA) is handicapped with producing of...
During evolution, genomes are subject to genome rearrangements that alter the ordering and orientati...
Bioinformatics and computational biology involve the use of techniques including applied mathematics...
International audienceThis paper proposes new algorithms for computing pairwise rearrangement scenar...
Ordinary representations of permutations in Genetic Algorithms (GA) is handicapped with producing os...
Permutation sorting, one of the fundamental steps in pre-processing data for the efficient applicati...
Reversible Primitive Permutations (RPP) are recursively defined functions designed to model Reversib...
International audienceBackgroundTraditional algorithms to solve the problem of sorting by signed rev...
Absract. Evolutionary algorithms are an effective way of solving search problems. They usually opera...
In this paper, we consider pattern avoidance in a subset of words on$\{1,1,2,2,\dots,n,n\}$ called r...
Reversals and transpositions are the most common kinds of genome rearrangements, which allow us to e...
AbstractSorting permutations by reversals is one of the most challenging problems related with the a...
An exchange based technique for generating permutation is presented in this paper.This strategy invo...
Gröbner bases, in their noncommutative version, and word reversing are methods for solving the word ...
[EN] Essentially, in a reversible programming language, for each forward computation from state S to...
Ordinary representations of permutations in Genetic Algorithms (GA) is handicapped with producing of...
During evolution, genomes are subject to genome rearrangements that alter the ordering and orientati...
Bioinformatics and computational biology involve the use of techniques including applied mathematics...
International audienceThis paper proposes new algorithms for computing pairwise rearrangement scenar...
Ordinary representations of permutations in Genetic Algorithms (GA) is handicapped with producing os...
Permutation sorting, one of the fundamental steps in pre-processing data for the efficient applicati...
Reversible Primitive Permutations (RPP) are recursively defined functions designed to model Reversib...
International audienceBackgroundTraditional algorithms to solve the problem of sorting by signed rev...