The primary goal of this book is to apply the dynamical system approach in numerical linear algebra, particularly in computing generalized inverses, solving systems of linear equations, and solving linear matrix equations. Four main scientific areas are considered: numerical linear algebra, recurrent neural networks (RNNs), dynamical systems, and unconstrained nonlinear optimization.

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Final Conclusions

  • Predrag S. Stanimirović,
  • Yimin Wei,
  • Shuai Li,
  • Dimitrios Gerontitis,
  • Xinwei Cao

摘要

The primary goal of this book is to apply the dynamical system approach in numerical linear algebra, particularly in computing generalized inverses, solving systems of linear equations, and solving linear matrix equations. Four main scientific areas are considered: numerical linear algebra, recurrent neural networks (RNNs), dynamical systems, and unconstrained nonlinear optimization.