Intellectual Property India Publishes Patent Application for 'An Adaptive Sparse Matrix Structure For Large-Scale Computations' Filed by Noida Institute Of Engineering & Technology

MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202611049710 A) filed by Noida Institute Of Engineering & Technology, Greater Noida, Uttar Pradesh, on April 18, for 'an adaptive sparse matrix structure for large-scale computations.'

Inventor(s) include Rachna Sharma; and Anamika Chaudhary.

The application for the patent was published on May 29, under issue no. 22/2026.

According to the abstract released by the Intellectual Property India: "An adaptive sparse matrix structure for large-scale computations comprises a matrix domain manager (101), a region classifier (102), a representation selector (103), a hierarchical index map (104), region descriptors (105), and payload containers (106). The matrix is partitioned into regions, each region being assigned a storage mode according to local sparsity behavior. A mode conversion controller (107), update log manager (108), scheduling descriptor generator (109), and computation interface (110) support localized adaptation, dynamic updates, balanced execution, and efficient sparse operations across irregular and evolving matrix topologies."

Disclaimer: Curated by HT Syndication.