Netlib

The Netlib repository contains freely available software, documents, and databases of interest to the numerical, scientific computing, and other communities. The repository is maintained by AT&T Bell Laboratories, the University of Tennessee and Oak Ridge National Laboratory, and by colleagues world-wide. The collection is replicated at several sites around the world, automatically synchronized, to provide reliable and network efficient service to the global community.


References in zbMATH (referenced in 63 articles )

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  1. Asadi, S.; Mansouri, H.; Darvay, Zs.; Lesaja, G.; Zangiabadi, M.: A long-step feasible predictor-corrector interior-point algorithm for symmetric cone optimization (2019)
  2. Haddock, Jamie; Needell, Deanna: On Motzkin’s method for inconsistent linear systems (2019)
  3. Wang, Guoqiang; Yu, Bo: PAL-Hom method for QP and an application to LP (2019)
  4. Vu, Ky; Poirion, Pierre-Louis; Liberti, Leo: Random projections for linear programming (2018)
  5. Wang, Yang; Zhang, Ping: Two partial pricing strategies for the simplex algorithm (2018)
  6. Yang, Yaguang; Yamashita, Makoto: An arc-search (\mathcalO(nL)) infeasible-interior-point algorithm for linear programming (2018)
  7. Breedveld, Sebastiaan; van den Berg, Bas; Heijmen, Ben: An interior-point implementation developed and tuned for radiation therapy treatment planning (2017)
  8. Ketabchi, Saeed; Moosaei, Hossein; Parandegan, M.; Navidi, Hamidreza: Computing minimum norm solution of linear systems of equations by the generalized Newton method (2017)
  9. Khimich, A. N.; Popov, A. V.; Chistyakov, O. V.: Hybrid algorithms for solving the algebraic eigenvalue problem with sparse matrices (2017)
  10. Yang, Ximei; Liu, Hongwei; Zhang, Yinkui: An arc-search infeasible-interior-point method for symmetric optimization in a wide neighborhood of the central path (2017)
  11. Yang, Yaguang: CurveLP-A MATLAB implementation of an infeasible interior-point algorithm for linear programming (2017)
  12. Liberti, Leo; Poirion, Pierre-Louis; Ky, Vu Khac: Solving LP using random projections (2016)
  13. Towhidi, Mehdi; Orban, Dominique: Customizing the solution process of COIN-OR’s linear solvers with python (2016)
  14. Yang, Ximei; Zhang, Yinkui; Liu, Hongwei: A wide neighborhood infeasible-interior-point method with arc-search for linear programming (2016)
  15. Chernov, Alexey; von Petersdorff, Tobias; Schwab, Christoph: Quadrature algorithms for high dimensional singular integrands on simplices (2015)
  16. Ploskas, Nikolaos; Samaras, Nikolaos: A computational comparison of scaling techniques for linear optimization problems on a graphical processing unit (2015)
  17. Boyana Norris, Sa-Lin Bernstein, Ramya Nair, Elizabeth Jessup: Lighthouse: A User-Centered Web Service for Linear Algebra Software (2014) arXiv
  18. Goerigk, Marc; Schöbel, Anita: Recovery-to-optimality: a new two-stage approach to robustness with an application to aperiodic timetabling (2014)
  19. Kakihara, Satoshi; Ohara, Atsumi; Tsuchiya, Takashi: Curvature integrals and iteration complexities in SDP and symmetric cone programs (2014)
  20. Pan, Ping-Qi: Linear programming computation (2014)

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