Stochastic absolute value equations
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Publication:2700136
DOI10.1007/s12190-022-01777-0OpenAlexW4295141298MaRDI QIDQ2700136
Shengqun Niu, Jingjing Sun, Shou-qiang Du, Li-ping Zhang
Publication date: 20 April 2023
Published in: Journal of Applied Mathematics and Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2207.05918
expected residual minimization formulationexpected value formulationstochastic absolute value equations
Uses Software
Cites Work
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- A globally and quadratically convergent method for absolute value equations
- Existence of optimal solutions for general stochastic linear complementarity problems
- Smoothing methods for nonsmooth, nonconvex minimization
- Absolute value equations
- Absolute value programming
- Robust solution of monotone stochastic linear complementarity problems
- The \(SC^1\) 1property of an expected residual function arising from stochastic complementarity problems
- Sample-path solution of stochastic variational inequalities
- On the existence of solutions to stochastic quasi-variational inequality and complementarity problems
- Expected residual minimization method for monotone stochastic tensor complementarity problem
- Stochastic tensor complementarity problem with discrete distribution
- Stochastic structured tensors to stochastic complementarity problems
- Absolute value equation solution via concave minimization
- Convergence of the Gradient Sampling Algorithm for Nonsmooth Nonconvex Optimization
- Stochastic $R_0$ Matrix Linear Complementarity Problems
- Smoothing Projected Gradient Method and Its Application to Stochastic Linear Complementarity Problems
- A Robust Gradient Sampling Algorithm for Nonsmooth, Nonconvex Optimization
- Expected Residual Minimization Method for Stochastic Linear Complementarity Problems
- New reformulations for stochastic nonlinear complementarity problems
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