This inventor holds 1 USPTO granted patent. Top assignee: Raytheon Company. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Scott R Selnick: Innovator in Sparse Matrix Computation
Introduction
Scott R Selnick is a notable inventor based in Tucson, AZ (US). He has made significant contributions to the field of computational mathematics, particularly in the area of sparse matrix factorization. His innovative work has implications for various applications in engineering and technology.
Latest Patents
Scott R Selnick holds a patent for the "Computation of solution to sparse matrix." This patent discusses devices, systems, and methods for efficient sparse matrix factorization. The method includes writing matrix data representing a sparse matrix to memory. After writing the matrix data, it involves writing data to a control register of a field programmable gate array (FPGA) to indicate that the matrix data is available for factorization. In response to either reading a status register indicating that the FPGA has factorized the matrix data or receiving a software interrupt, the method determines a solution to a linear system of equations represented by the sparse matrix. He has 1 patent in this area.
Career Highlights
Scott R Selnick is currently employed at Raytheon Company, where he applies his expertise in computational methods. His work at Raytheon has allowed him to contribute to advanced technological solutions that enhance system efficiencies.
Collaborations
Scott has collaborated with notable colleagues, including Mike W Willits and Elliot Schwartz. These collaborations have fostered an environment of innovation and have led to advancements in their respective fields.
Conclusion
Scott R Selnick's contributions to sparse matrix computation exemplify the impact of innovative thinking in technology. His patent and work at Raytheon highlight the importance of efficient computational methods in solving complex problems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
