subpolynomial

the algorithm achieves subpolynomial time complexity for processing large datasets efficiently.

researchers discovered a subpolynomial growth rate in protein folding dynamics over time.

the new optimization method provides a subpolynomial approximation ratio for np-hard problems.

network traffic exhibits subpolynomial increase patterns during peak usage hours.

the computational complexity remains subpolynomial even as input sizes scale dramatically.

scientists observed subpolynomial behavior in molecular diffusion across semi-permeable membranes.

the memory allocation strategy demonstrates subpolynomial growth under heavy computational loads.

error reduction occurs at a subpolynomial rate as training dataset size increases.

the theoretical bound guarantees subpolynomial space complexity for the distributed system.

experimental results show subpolynomial improvement in query response times with optimization.

the convergence rate of the iterative method is surprisingly subpolynomial for smooth functions.

database indexing enables subpolynomial query performance for complex multidimensional searches.