sublinear

the algorithm operates in a sublinear time complexity.

sublinear search methods can significantly improve performance.

we need to analyze the sublinear growth of the dataset.

sublinear algorithms are essential for large-scale data processing.

this sublinear approach reduces the computational load.

they developed a sublinear model for machine learning.

understanding sublinear performance can help optimize systems.

sublinear time algorithms are preferred in real-time applications.

researchers are exploring sublinear techniques in graph theory.

sublinear scaling is a key factor in efficient computing.