New reformulation and feasible semismooth Newton method for a class of stochastic linear complementarity problems

By Hongwei Liu, Yakui Huang, Xiangli Li. 2011

8 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Management Science and Operations Research, Numerical Analysis, Optimization & Training

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Sharan Vaswani
2. Mark W. Schmidt
3. Simon Lacoste-Julien
4. Issam Hadj Laradji
5. Peter Richtárik
6. Nicolas Loizou
7. Francis R. Bach
8. Zeyuan Allen-Zhu

In Management Science and Operations Research

1. Issam Hadj Laradji
2. Simon Lacoste-Julien
3. Sharan Vaswani
4. S. Meng
5. Mark W. Schmidt
6. Nicolas Loizou
7. Jakub Konecný
8. Peter Richtárik

In Numerical Analysis

1. Simon Lacoste-Julien
2. Issam Hadj Laradji
3. Sharan Vaswani
4. S. Meng
5. Mark W. Schmidt
6. Sebastian U. Stich
7. Nicolas Loizou
8. Sébastien Bubeck

In Optimization & Training

1. Simon Lacoste-Julien
2. Issam Hadj Laradji
3. Sharan Vaswani
4. Nicolas Loizou
5. Peter Richtárik
6. Mark W. Schmidt
7. S. Meng
8. Francis R. Bach

Citations in the corpus

• Fast and Furious Convergence: Stochastic Second Order Methods under Interpolation (2019, methodology): “[37] Hongwei Liu, Yakui Huang, and Xiangli Li.”