Nature

Absolute Value Equations and Iterative Methods

Absolute value equations (AVEs), characterised by the inclusion of absolute value functions in the variables, present inherently non‐smooth and computationally challenging problems that are often ...
Scientific Research Publishing

A Novel Inverse-Free Neurodynamic Approach for Solving Absolute Value Equations ()

We propose a novel inverse-free neurodynamic approach (NIFNA) for solving absolute value equations (AVE). The NIFNA guarantees global convergence and notably improves convergence speed by achieving ...
Scientific Research Publishing

Rohn, J., Hooshyarbakhsh, V. and Farhadsefat, R. (2012) An Iterative Method for Solving ...

ABSTRACT: We propose a novel inverse-free neurodynamic approach (NIFNA) for solving absolute value equations (AVE). The NIFNA guarantees global convergence and notably improves convergence speed by ...
IEEE

Unified Single-Layer Inverse-Free Neurodynamic Network for Solving Absolute Value Equations

Abstract: This technical note presents a unified single-layer inverse-free neurodynamic network (SINN) to tackle absolute value equations (AVEs). A new global error ...
IEEE

Neural networks for solving systems of linear equations. II. Minimax and least absolute ...

Abstract: For pt.I see ibid., vol.39, no.2, p.124-38 (1992). The minimax (L/sub infinity /- or Chebyshev norm) and the least absolute value (L/sub 1/-norm) optimization criteria for linear parameter ...