Innovative and Hybrid Data Structures for Enhanced Performance and Efficiency

Abstract

This review explores the development and application of innovative and hybrid data structures designed to optimize computational performance and enhance the efficiency of algorithmic operations. The paper discusses the significance of data structure design in solving complex computational problems, the impact of hybridization on improving time and space complexities, and provides an overview of various emerging techniques across multiple domains such as artificial intelligence, big data analytics, and cloud computing. Additionally, it highlights key challenges, research directions, and future trends in data structure innovations.