2 edition of Computational complexity of Euclidean sets found in the catalog.
Computational complexity of Euclidean sets
Written in English
We apply the concepts developed to show that hyperbolic Julia sets are polynomial time computable. This result is a significant generalization of the result in [RW03], where polynomial time computability has been shown for a restricted type of hyperbolic Julia sets.We investigate different definitions of the computability and complexity of sets in Rk , and establish new connections between these definitions. This allows us to connect the computability of real functions and real sets in a new way. We show that equivalence of some of the definitions corresponds to equivalence between famous complexity classes. The model we use is mostly consistent with [Wei00].
|The Physical Object|
|Number of Pages||90|
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Interactions of Computational Complexity Theory and Mathematics Avi Wigderson Octo Computational complexity of Euclidean sets book [This paper is a (self contained) chapter in a new book. Computational complexity theory - Wikipedia. This paper discusses computational complexity of conceptual successive convex relaxation methods proposed by Kojima and Tuncel for approximating a convex relaxation of a compact subset F = fx 2 C.
The computability of compact sets and of operators on compact sets has already been studied in the literature, cf.[13, 15, 16], also the complexity of some compact sets like Julia sets was Author: Martin Ziegler. A finite set of lines partitions the Euclidean plane into a cell complex.
Similarly, a finite set of $(d - 1)$-dimensional hyperplanes partitions d-dimensional Euclidean space. An algorithm is pres Cited by: What is known about the complexity of and/or practical algorithms for reporting all triplets of points from finite set of at least four points of which no three are collinear in the Euclidean plane.
puter Science for his book ”Neuro-Dynamic Programming” (co-authored with John Tsitsiklis), the Greek National Award for Operations Re- search, and the ACC John R.