An improved variant of the precise-integration time-domain (PITD) method is proposed to eliminate the inverse matrix calculation and optimize the storage burden with the help of sparse computation.

Early applications of new analytical methods and technology demonstrating potential for societal impact.

This project implements a high-speed matrix-matrix multiplication module in C/C++, optimized with multi-threading, SIMD, and cache miss minimization. It supports large, configurable matrix sizes, ...

In intelligent connected vehicle applications, tasks, such as path planning and health management involve numerous matrix operations, particularly matrix multiplication. Due to limited resources, ...

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