Daniel Esteban Valle Herrera

Recursive nD Cascading Tensors: Granular Data Classification by Residuals and Analytical Addressing for O(1) Searches

ABSTRACT —This research introduces an analytical framework of structural temporal asymmetry for the management of high-density multidimensional data, establishing a modular architecture that decouples construction complexity from retrieval latency. The architecture segments an in...

Recursive nD Cascading Tensors: Granular Data Classification by Residuals and Analytical Addressing for O(1) Searches

ABSTRACT —This research introduces an analytical framework of structural temporal asymmetry for the management of high-density multidimensional data, establishing a modular architecture that decouples construction complexity from retrieval latency. The architecture segments an in...