AbstractTwo-dimensional arrays can be compared by a generalization of dynamic programming algorithms for string comparison. Earlier algorithms have computational complexity O(N6) for comparison of two N × N arrays. The computational complexity is reduced to O(N4) in general and O(N2) algorithms are pointed out for the range limited case. An example is given to illustrate the lack of knowledge of mathematical properties of these algorithms. The problem of finding an algorithm to compute the minimum number of insertions, deletions, and substitutions to transform one array into another remains open
Abstract:- Comparing two sequences by using dynamic programming algorithms is studied. Both serial a...
AbstractA few lines pattern matching algorithm is obtained by using the correctness proof of program...
AbstractWe study the exact number of symbol comparisons that are required to solve the string matchi...
AbstractTwo-dimensional arrays can be compared by a generalization of dynamic programming algorithms...
Two-dimensional arrays can be compared by a generalization of dynamic pre gramming algorithms for st...
We study in depth a model of non-exact pattern matching based on edit distance, which is the minimum...
Designing algorithms and implementing through data structures in order to contemplate the time and s...
International audienceGiven two strings of size n over a constant alphabet, the classical algorithm ...
International audienceThe problem of comparing two sequences S and T to determine their similarity i...
This paper considers the exact number of character comparisons needed to find all occurrences of a p...
The string matching problem has attracted a lot of interest throughout the history of computer scien...
AbstractThe classical algorithms to align two biological sequences (Needleman and Wunsch and Smith a...
Edit distance is a powerful measure of similarity in string matching, measuring the minimum amount o...
Existing dynamic-programming algorithms for identifying similar regions of two sequences require tim...
AbstractCrochemore and Perrin discovered an elegant linear-time constant-space string-matching algor...
Abstract:- Comparing two sequences by using dynamic programming algorithms is studied. Both serial a...
AbstractA few lines pattern matching algorithm is obtained by using the correctness proof of program...
AbstractWe study the exact number of symbol comparisons that are required to solve the string matchi...
AbstractTwo-dimensional arrays can be compared by a generalization of dynamic programming algorithms...
Two-dimensional arrays can be compared by a generalization of dynamic pre gramming algorithms for st...
We study in depth a model of non-exact pattern matching based on edit distance, which is the minimum...
Designing algorithms and implementing through data structures in order to contemplate the time and s...
International audienceGiven two strings of size n over a constant alphabet, the classical algorithm ...
International audienceThe problem of comparing two sequences S and T to determine their similarity i...
This paper considers the exact number of character comparisons needed to find all occurrences of a p...
The string matching problem has attracted a lot of interest throughout the history of computer scien...
AbstractThe classical algorithms to align two biological sequences (Needleman and Wunsch and Smith a...
Edit distance is a powerful measure of similarity in string matching, measuring the minimum amount o...
Existing dynamic-programming algorithms for identifying similar regions of two sequences require tim...
AbstractCrochemore and Perrin discovered an elegant linear-time constant-space string-matching algor...
Abstract:- Comparing two sequences by using dynamic programming algorithms is studied. Both serial a...
AbstractA few lines pattern matching algorithm is obtained by using the correctness proof of program...
AbstractWe study the exact number of symbol comparisons that are required to solve the string matchi...