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Projection methods in conic optimization
[article]
2011
arXiv
pre-print
There exist efficient algorithms to project a point onto the intersection of a convex cone and an affine subspace. Those conic projections are in turn the work-horse of a range of algorithms in conic optimization, having a variety of applications in science, finance and engineering. This chapter reviews some of these algorithms, emphasizing the so-called regularization algorithms for linear conic optimization, and applications in polynomial optimization. This is a presentation of the material
arXiv:1103.1511v1
fatcat:qnyxxpiy5ffbznqn6x7zvjsvui