Intellectual Property India Publishes Patent Application for Method And System For Real-Time Eigenvalue Estimation Using Iterative Spectral Reduction Engines

MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202621092832 A) filed by Shraddha Mayur Samant; Sushma Pradeep Chalke; Chikurdekar Sujitkumar Vasantrao; Dr. Shweta Sachin Bibave; Dipak Laxman Sabale; Dr. Rahul Dattatray Khalate; Prof. Shailesh Waghu Suroshe; Pranali Mahesh Bhaskar; Karmad Vasant Maruti; and Dr. Shriram Narayanrao Kargaonkar on July 30, 2026, for Method And System For Real-Time Eigenvalue Estimation Using Iterative Spectral Reduction Engines.

Inventors include Shraddha Mayur Samant; Sushma Pradeep Chalke; Chikurdekar Sujitkumar Vasantrao; Dr. Shweta Sachin Bibave; Dipak Laxman Sabale; Dr. Rahul Dattatray Khalate; Prof. Shailesh Waghu Suroshe; Pranali Mahesh Bhaskar; Karmad Vasant Maruti; and Dr. Shriram Narayanrao Kargaonkar.

The application for the patent was published on September 18, 2026, under issue no. 38/2026.

Abstract: The present invention discloses a method and system for real-time eigenvalue estimation using Iterative Spectral Reduction Engines. The system receives dynamically changing matrices, preprocesses and conditions the matrices, performs adaptive hierarchical spectral reduction, recursively estimates eigenvalues through intelligent convergence control, applies predictive error correction, validates convergence using residual analysis, and generates highly accurate real-time eigenvalue estimates with reduced computational complexity and latency. Adaptive learning mechanisms optimize future estimations using historical convergence information, while parallel optimization scheduling distributes computational workloads across heterogeneous processing resources. The invention significantly improves numerical stability, convergence speed, estimation accuracy, scalability, and energy efficiency, making it suitable for artificial intelligence, scientific computing, robotics, communication systems, industrial automation, financial analytics, medical devices, and real-time embedded computing. Accompanied Drawing [FIGS. 1-2]

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