A preconditioner for solving large-scale variational inequality problems by a semismooth inexact approach
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Publication:3427664
DOI10.1080/00207160601071304zbMath1114.65075OpenAlexW2047905441MaRDI QIDQ3427664
Valeria Ruggiero, Federica Tinti
Publication date: 23 March 2007
Published in: International Journal of Computer Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207160601071304
numerical experimentsinexact Newton methodLSQR methodincomplete LU preconditionersemismooth nonlinear system
Numerical optimization and variational techniques (65K10) Variational inequalities (49J40) Newton-type methods (49M15)
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Cites Work
- Finite-dimensional variational inequality and nonlinear complementarity problems: A survey of theory, algorithms and applications
- Solution of monotone complementarity problems with locally Lipschitzian functions
- Optimization techniques for solving elliptic control problems with control and state constraints. I: Boundary control
- Maintaining LU factors of a general sparse matrix
- Inexact Newton methods for solving nonsmooth equations
- A nonsmooth version of Newton's method
- The Semismooth Algorithm for Large Scale Complementarity Problems
- Optimization and nonsmooth analysis
- LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares
- Semismooth and Semiconvex Functions in Constrained Optimization
- A special newton-type optimization method
- CUTE
- Convergence Analysis of Some Algorithms for Solving Nonsmooth Equations
- Finite-Dimensional Variational Inequalities and Complementarity Problems
- A quasi-Newton method for non-smooth equations
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