Miguel Anjos

Professor and Chair of Operational Research



Contact

Miguel Anjos

Professor and Chair of Operational Research




Miguel Anjos

Professor and Chair of Operational Research



Handbook on Semidefinite, Conic and Polynomial Optimization: Theory, Algorithms, Software and Applications


Book


M.F. Anjos, J.B. Lasserre (eds)
Springer, 2012


Semantic Scholar DOI
Cite

Cite

APA   Click to copy
Anjos, M. F., & (eds), J. B. L. (2012). Handbook on Semidefinite, Conic and Polynomial Optimization: Theory, Algorithms, Software and Applications. Springer. https://doi.org/10.1007/978-1-4614-0769-0


Chicago/Turabian   Click to copy
Anjos, M.F., and J.B. Lasserre (eds). Handbook on Semidefinite, Conic and Polynomial Optimization: Theory, Algorithms, Software and Applications. Springer, 2012.


MLA   Click to copy
Anjos, M. F., and J. B. Lasserre (eds). Handbook on Semidefinite, Conic and Polynomial Optimization: Theory, Algorithms, Software and Applications. Springer, 2012, doi:10.1007/978-1-4614-0769-0.


BibTeX   Click to copy

@book{m2012a,
  title = {Handbook on Semidefinite, Conic and Polynomial Optimization: Theory, Algorithms, Software and Applications},
  year = {2012},
  journal = {},
  publisher = {Springer},
  doi = {10.1007/978-1-4614-0769-0},
  author = {Anjos, M.F. and (eds), J.B. Lasserre}
}

About this Book

Semidefinite and conic optimization is a major and thriving research area within the optimization community. Although semidefinite optimization has been studied (under different names) since at least the 1940s, its importance grew immensely during the 1990s after polynomial-time interior-point methods for linear optimization were extended to solve semidefinite optimization problems.
Since the beginning of the 21st century, not only has research into semidefinite and conic optimization continued unabated, but also a fruitful interaction has developed with algebraic geometry through the close connections between semidefinite matrices and polynomial optimization. This has brought about important new results and led to an even higher level of research activity.
TheĀ Handbook on Semidefinite, Conic and Polynomial Optimization provides the reader with a snapshot of the state-of-the-art in the growing and mutually enriching areas of semidefinite optimization, conic optimization, and polynomial optimization. It contains a compendium of the recent research activity that has taken place in these thrilling areas, and will appeal to doctoral students, young graduates, and experienced researchers alike.




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