Neural network based on systematically generated smoothing functions for absolute value equation
type: Item
instance of: scholarly article
title: Neural network based on systematically generated smoothing functions for absolute value equation
zbMATH Open document ID: 1452.65111
author: B. Saheya
author: Chieu Thanh Nguyen
author: Jein-Shan Chen
published in: Journal of Applied Mathematics and Computing
publication date: 2019-11-22T00:00:00Z
Mathematics Subject Classification ID: 65K10
Mathematics Subject Classification ID: 90C33
Mathematics Subject Classification ID: 90C56
zbMATH DE Number: 7135510
zbMATH Keywords: absolute value equations
zbMATH Keywords: neural network
zbMATH Keywords: smoothing function
MaRDI profile type: Publication
full work available at URL: s12190-019-01262-1
OpenAlex ID: W2939236428
cites work: Smoothing and first order methods: a unified framework
cites work: Convex analysis and monotone operator theory in Hilbert spaces
cites work: A class of smoothing functions for nonlinear and mixed complementarity problems
cites work: Q4326408
cites work: ``Neural'' computation of decisions in optimization problems
cites work: A note on absolute value equations
cites work: A generalized Newton method for absolute value equations associated with second order cones
cites work: A smoothing-type algorithm for absolute value equations
cites work: Minimum norm solution to the absolute value equation in the convex case
cites work: Nondifferentiable optimization via smooth approximation: General analytical approach
cites work: A neural network for the linear complementarity problem
cites work: Solving nonlinear complementarity problems with neural networks: A reformulation method approach
cites work: Absolute value programming
cites work: Absolute value equation solution via concave minimization
cites work: A generalized Newton method for absolute value equations
cites work: Primal-dual bilinear programming solution of the absolute value equation
cites work: Absolute value equation solution via dual complementarity
cites work: A smoothing Newton method for absolute value equation associated with second-order cone
cites work: Absolute value equations
cites work: Proximité et dualité dans un espace hilbertien
cites work: Smooth minimization of non-smooth functions
cites work: Unified smoothing functions for absolute value equation associated with second-order cone
cites work: On equivalent reformulations for absolute value equations
cites work: Convergence Analysis of Some Algorithms for Solving Nonsmooth Equations
cites work: A new look at smoothing Newton methods for nonlinear complementarity problems and box constrained variational inequalities
cites work: Smoothing functions and smoothing Newton method for complementarity and variational inequality problems
cites work: A theorem of the alternatives for the equationAx+B|x| =b
cites work: Q3559062
cites work: Numerical comparisons based on four smoothing functions for absolute value equation
cites work: Neural networks for solving second-order cone constrained variational inequality problem
cites work: A branch-and-bound method for absolute value programs
Wikidata QID: Q128006062
DOI: 10.1007/S12190-019-01262-1
description: scientific article; zbMATH DE number 7135510