Convergence Rate Evaluation of Derivative-Free Optimization Techniques

Thomas Lux. Convergence Rate Evaluation of Derivative-Free Optimization Techniques. In Panos M. Pardalos, Piero Conca, Giovanni Giuffrida, Giuseppe Nicosia, editors, Machine Learning, Optimization, and Big Data - Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016, Revised Selected Papers. Volume 10122 of Lecture Notes in Computer Science, pages 246-256, Springer, 2016. [doi]

@inproceedings{Lux16-2,
  title = {Convergence Rate Evaluation of Derivative-Free Optimization Techniques},
  author = {Thomas Lux},
  year = {2016},
  doi = {10.1007/978-3-319-51469-7_21},
  url = {http://dx.doi.org/10.1007/978-3-319-51469-7_21},
  researchr = {https://researchr.org/publication/Lux16-2},
  cites = {0},
  citedby = {0},
  pages = {246-256},
  booktitle = {Machine Learning, Optimization, and Big Data - Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016, Revised Selected Papers},
  editor = {Panos M. Pardalos and Piero Conca and Giovanni Giuffrida and Giuseppe Nicosia},
  volume = {10122},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-51468-0},
}