Interior-point methods for monotone linear complementarity problems based on the new kernel function with applications to control tabular adjustment problem.

Lesaja G, Oganian A, Williams T, Iacob I, Iqbal M

Open source

DOI
10.19139/soic-2310-5070-2322
Published
2025
Container
Statistics, optimization & information computing
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.19139/soic-2310-5070-2322,
  title = {Interior-point methods for monotone linear complementarity problems based on the new kernel function with applications to control tabular adjustment problem.},
  author = {Lesaja G and Oganian A and Williams T and Iacob I and Iqbal M},
  year = {2025},
  journal = {Statistics, optimization \& information computing},
  doi = {10.19139/soic-2310-5070-2322},
  url = {https://doi.org/10.19139/soic-2310-5070-2322}
}

RIS

TY  - JOUR
TI  - Interior-point methods for monotone linear complementarity problems based on the new kernel function with applications to control tabular adjustment problem.
AU  - Lesaja G
AU  - Oganian A
AU  - Williams T
AU  - Iacob I
AU  - Iqbal M
PY  - 2025
JO  - Statistics, optimization & information computing
DO  - 10.19139/soic-2310-5070-2322
UR  - https://doi.org/10.19139/soic-2310-5070-2322
ER  - 

APA

G, L., A, O., T, W., I, I., & M, I. (2025). Interior-point methods for monotone linear complementarity problems based on the new kernel function with applications to control tabular adjustment problem.. Statistics, optimization & information computing. https://doi.org/10.19139/soic-2310-5070-2322

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