JAVA ALGORITHMS FOR STRING MANIPULATION AND PATTERN MATCHING
Priyanka Gowda Ashwath Narayana Gowda · INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY AND MANAGEMENT INFORMATION SYSTEMS · 2016
String manipulation and pattern-matching algorithms are fundamental components of computational science, playing a vital role in fields such as bioinformatics, web search engines, cybersecurity, and natural language processing.Algorithms like Brute-Force, Knuth-Morris-Pratt (KMP), Boyer-Moore, and Rabin-Karp provide diverse capabilities tailored to specific data types and performance requirements.Recent advancements, including hybrid approaches and machine learning integration, have enhanced the efficiency and applicability of these algorithms in real-world scenarios.However, challenges such as scalability, noise tolerance, and resource limitations persist, necessitating further innovation.The continuous evolution of computational sciences, fueled by advancements in parallel processing and artificial intelligence, presents vast opportunities for the future enhancement and novel applications of string manipulation and pattern-matching algorithms.These developments hold the promise of solving increasingly complex tasks across diverse domains.