Sublinear Time Algorithms

Sublinear time algorithms represent a paradigm shift in computational efficiency, allowing processing of extremely large datasets by reading only a fraction of the input. While exact deterministic sublinear algorithms exist for some problems, most solutions require randomization and approximation techniques, with applications spanning optimization, property testing, and distribution analysis.