3 papers
cs.NE2026
Zeroing neural dynamics solving time-variant complex conjugate matrix equation
Jiakuang He, Dongqing Wu
Complex conjugate matrix equations (CCME) are important in computation and antilinear systems. Existing research mainly focuses on the time-invariant version, while studies on the…
math.NA2024
Discrete the solving model of time-variant standard Sylvester-conjugate matrix equations using Euler-forward formula
Jiakuang He, Dongqing Wu
Time-variant standard Sylvester-conjugate matrix equations are presented as early time-variant versions of the complex conjugate matrix equations. Current solving methods include C…
math.NA2024
Revisiting time-variant complex conjugate matrix equations with their corresponding real field time-variant large-scale linear equations, neural hypercomplex numbers space compressive approximation approach
Jiakuang He, Dongqing Wu
Large-scale linear equations and high dimension have been hot topics in deep learning, machine learning, control,and scientific computing. Because of special conjugate operation ch…