Data Structures for Computing Unique Palindromes in Static and Non-Static Strings

A palindromic substring T [ i .. j ] of a string T is said to be a shortest unique palindromic substring (SUPS) in T for an interval [ p ,  q ] if T [ i .. j ] is a shortest palindromic substring such that T [ i .. j ] occurs only once in T , and [ i ,  j ] contains [ p ,  q ]. The SUPS problem is,...

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Vydané v:Algorithmica Ročník 86; číslo 3; s. 852 - 873
Hlavní autori: Mieno, Takuya, Funakoshi, Mitsuru
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York Springer US 01.03.2024
Springer Nature B.V
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Abstract A palindromic substring T [ i .. j ] of a string T is said to be a shortest unique palindromic substring (SUPS) in T for an interval [ p ,  q ] if T [ i .. j ] is a shortest palindromic substring such that T [ i .. j ] occurs only once in T , and [ i ,  j ] contains [ p ,  q ]. The SUPS problem is, given a string T of length n , to construct a data structure that can compute all the SUPSs for any given query interval. It is known that any SUPS query can be answered in O ( α ) time after O ( n )-time preprocessing, where α is the number of SUPSs to output (Inoue in J Discrete Algorithms 52-53:122–132, 2018). In this paper, we first show that α is at most 4, and the upper bound is tight. We also show that the total sum of lengths of minimal unique palindromic substrings of string T , which is strongly related to SUPSs, is O ( n ). Then, we present the first O ( n )-bits data structures that can answer any SUPS query in constant time. Also, we present an algorithm to solve the SUPS problem for a sliding window that can answer any query in O ( log log W ) time and update data structures in amortized O ( log σ + log log W ) time, where W is the size of the window, and σ is the alphabet size. Furthermore, we consider the SUPS problem in the after-edit model and present an efficient algorithm. Namely, we present an algorithm that uses O ( n ) time for preprocessing and answers any k SUPS queries in O ( log n log log n + k log log n ) time after single character substitution. Finally, as a by-product, we propose a fully-dynamic data structure for range minimum queries (RmQs) with a constraint where the width of each query range is limited to poly-logarithmic. The constrained RmQ data structure can answer such a query in constant time and support a single-element edit operation in amortized constant time.
AbstractList A palindromic substring T [ i .. j ] of a string T is said to be a shortest unique palindromic substring (SUPS) in T for an interval [ p ,  q ] if T [ i .. j ] is a shortest palindromic substring such that T [ i .. j ] occurs only once in T , and [ i ,  j ] contains [ p ,  q ]. The SUPS problem is, given a string T of length n , to construct a data structure that can compute all the SUPSs for any given query interval. It is known that any SUPS query can be answered in O ( α ) time after O ( n )-time preprocessing, where α is the number of SUPSs to output (Inoue in J Discrete Algorithms 52-53:122–132, 2018). In this paper, we first show that α is at most 4, and the upper bound is tight. We also show that the total sum of lengths of minimal unique palindromic substrings of string T , which is strongly related to SUPSs, is O ( n ). Then, we present the first O ( n )-bits data structures that can answer any SUPS query in constant time. Also, we present an algorithm to solve the SUPS problem for a sliding window that can answer any query in O ( log log W ) time and update data structures in amortized O ( log σ + log log W ) time, where W is the size of the window, and σ is the alphabet size. Furthermore, we consider the SUPS problem in the after-edit model and present an efficient algorithm. Namely, we present an algorithm that uses O ( n ) time for preprocessing and answers any k SUPS queries in O ( log n log log n + k log log n ) time after single character substitution. Finally, as a by-product, we propose a fully-dynamic data structure for range minimum queries (RmQs) with a constraint where the width of each query range is limited to poly-logarithmic. The constrained RmQ data structure can answer such a query in constant time and support a single-element edit operation in amortized constant time.
A palindromic substring T[i..j] of a string T is said to be a shortest unique palindromic substring (SUPS) in T for an interval [p, q] if T[i..j] is a shortest palindromic substring such that T[i..j] occurs only once in T, and [i, j] contains [p, q]. The SUPS problem is, given a string T of length n, to construct a data structure that can compute all the SUPSs for any given query interval. It is known that any SUPS query can be answered in O(α) time after O(n)-time preprocessing, where α is the number of SUPSs to output (Inoue in J Discrete Algorithms 52-53:122–132, 2018). In this paper, we first show that α is at most 4, and the upper bound is tight. We also show that the total sum of lengths of minimal unique palindromic substrings of string T, which is strongly related to SUPSs, is O(n). Then, we present the first O(n)-bits data structures that can answer any SUPS query in constant time. Also, we present an algorithm to solve the SUPS problem for a sliding window that can answer any query in O(loglogW) time and update data structures in amortized O(logσ+loglogW) time, where W is the size of the window, and σ is the alphabet size. Furthermore, we consider the SUPS problem in the after-edit model and present an efficient algorithm. Namely, we present an algorithm that uses O(n) time for preprocessing and answers any k SUPS queries in O(lognloglogn+kloglogn) time after single character substitution. Finally, as a by-product, we propose a fully-dynamic data structure for range minimum queries (RmQs) with a constraint where the width of each query range is limited to poly-logarithmic. The constrained RmQ data structure can answer such a query in constant time and support a single-element edit operation in amortized constant time.
Author Funakoshi, Mitsuru
Mieno, Takuya
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Issue 3
Keywords String algorithms
Palindromes
Dynamic data structures
Shortest unique palindromic substrings
Range minimum queries
Compact data structures
Language English
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Snippet A palindromic substring T [ i .. j ] of a string T is said to be a shortest unique palindromic substring (SUPS) in T for an interval [ p ,  q ] if T [ i .. j ]...
A palindromic substring T[i..j] of a string T is said to be a shortest unique palindromic substring (SUPS) in T for an interval [p, q] if T[i..j] is a shortest...
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SubjectTerms Algorithm Analysis and Problem Complexity
Algorithms
Computer Science
Computer Systems Organization and Communication Networks
Constraints
Data structures
Data Structures and Information Theory
Mathematics of Computing
Preprocessing
Queries
Strings
Theory of Computation
Upper bounds
Title Data Structures for Computing Unique Palindromes in Static and Non-Static Strings
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