We define exact self-similarity of Space Filling Curves on the plane. For that purpose, we adapt the general definition of exact self-similarity on sets, a typical property of fractals, to the specific characteristics of discrete approximations of Space Filling Curves. We also develop an algorithm to test exact selfsimilarity of discrete approximations of Space Filling Curves on the plane. In addition, we use our algorithm to determine exact self-similarity of discrete approximations of four of the most representative Space Filling Curves. We found that SFCs like Moore’s based on recursive structure are actually not selfsimilar, highlighting the need to establish a formal definition of the concept for SFCs.El propósito de este artículo es d...
AbstractWe have given several necessary and sufficient conditions for statistically self-similar set...
Branching trees and bushes are obtained from a segment by an infinite sequence of two elementary tra...
An overview is given of the methods for treating complicated problems without small parameters, when...
(Eng) We define exact self-similarity of Space Filling Curves on the plane. For that purpose, we ada...
We define exact self-similarity of Space Filling Curves on the plane. For that purpose, we adapt the...
I present a technique for constructing self-similar curves from smooth base curves. The technique is...
Self-similar sets are a class of fractals which can be rigorously defined and treated by mathematica...
A space-filling curve (SFC) is a way of mapping a multi-dimensional space into a one-dimensional spa...
A contractive similarity is a function which preserves the geometry of a object but shrinks it down ...
Lebesgue curve is a space-filling curve that fills the unit square through linear interpolation. In ...
46 pages.International audienceIn this paper we study a class of countable and discrete subsets of a...
We present a newly developed, self-contained theory for discrete space-filling curves (SFCs). Mesh p...
Abstract. We study Minkowski contents and fractal curvatures of arbitrary self-similar tilings (cons...
A subset E of the Euclidean,l-space R ' is called self-similar if there are simili-tudes §r,......
A space-filling curve is a way of mapping the discrete multi-dimensional space into the one-dimensio...
AbstractWe have given several necessary and sufficient conditions for statistically self-similar set...
Branching trees and bushes are obtained from a segment by an infinite sequence of two elementary tra...
An overview is given of the methods for treating complicated problems without small parameters, when...
(Eng) We define exact self-similarity of Space Filling Curves on the plane. For that purpose, we ada...
We define exact self-similarity of Space Filling Curves on the plane. For that purpose, we adapt the...
I present a technique for constructing self-similar curves from smooth base curves. The technique is...
Self-similar sets are a class of fractals which can be rigorously defined and treated by mathematica...
A space-filling curve (SFC) is a way of mapping a multi-dimensional space into a one-dimensional spa...
A contractive similarity is a function which preserves the geometry of a object but shrinks it down ...
Lebesgue curve is a space-filling curve that fills the unit square through linear interpolation. In ...
46 pages.International audienceIn this paper we study a class of countable and discrete subsets of a...
We present a newly developed, self-contained theory for discrete space-filling curves (SFCs). Mesh p...
Abstract. We study Minkowski contents and fractal curvatures of arbitrary self-similar tilings (cons...
A subset E of the Euclidean,l-space R ' is called self-similar if there are simili-tudes §r,......
A space-filling curve is a way of mapping the discrete multi-dimensional space into the one-dimensio...
AbstractWe have given several necessary and sufficient conditions for statistically self-similar set...
Branching trees and bushes are obtained from a segment by an infinite sequence of two elementary tra...
An overview is given of the methods for treating complicated problems without small parameters, when...