Skip to content Skip to footer

Research Portal of the TU Dresden

A globally convergent LP-Newton method for piecewise smooth constrained equations: escaping nonstationary accumulation points

Research output: Contribution to journal › Research article › Contributed › peer-review

Contributors

Andreas Fischer - , Chair of Numerical Optimization, Institute of Numerical Mathematics (Author)
Markus Herrich - , Institute of Numerical Mathematics, Chair of Numerical Optimization (Author)
Alexey F. Izmailov - , Lomonosov Moscow State University (Author)
Wladimir Scheck - , Chair of Numerical Optimization (Author)
Mikhail V. Solodov - , Instituto National de Matemática Pura e Aplicada (Author)

Details

Original language	English
Pages (from-to)	325-349
Number of pages	25
Journal	Computational Optimization and Applications
Issue number	69
Publication status	Published - 2018
Peer-reviewed	Yes

External IDs

Scopus	85030564982

Keywords

DFG Classification of Subject Areas according to Review Boards

Mathematics - constrained equation, piecewise smooth equation, LP-Newton method, global convergence, quadratic convergence

Subject groups, research areas, subject areas according to Destatis

Applied Mathematics - constrained equation, piecewise smooth equation, LP-Newton method, global convergence, quadratic convergence

ASJC Scopus subject areas

Applied Mathematics - constrained equation, piecewise smooth equation, LP-Newton method, global convergence, quadratic convergence
Control and Optimization - constrained equation, piecewise smooth equation, LP-Newton method, global convergence, quadratic convergence

Keywords

constrained equation, piecewise smooth equation, LP-Newton method, global convergence, quadratic convergence