(Eng) 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.(Spa) El propósito de este a...
The work is the second part of a previous one, published in the same magazine (Contextos I...
AbstractWe are given a two-dimensional square grid of size N × N, where N :=2n and n⩾0. A space fill...
An overview is given of the methods for treating complicated problems without small parameters, when...
We define exact self-similarity of Space Filling Curves on the plane. For that purpose, we adapt the...
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...
A space-filling curve (SFC) is a way of mapping a multi-dimensional space into a one-dimensional spa...
Self-similar sets are a class of fractals which can be rigorously defined and treated by mathematica...
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...
A contractive similarity is a function which preserves the geometry of a object but shrinks it down ...
A space-filling curve is a way of mapping the discrete multi-dimensional space into the one-dimensio...
Abstract. We study Minkowski contents and fractal curvatures of arbitrary self-similar tilings (cons...
AbstractWe have given several necessary and sufficient conditions for statistically self-similar set...
The work is the second part of a previous one, published in the same magazine (Contextos I...
AbstractWe are given a two-dimensional square grid of size N × N, where N :=2n and n⩾0. A space fill...
An overview is given of the methods for treating complicated problems without small parameters, when...
We define exact self-similarity of Space Filling Curves on the plane. For that purpose, we adapt the...
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...
A space-filling curve (SFC) is a way of mapping a multi-dimensional space into a one-dimensional spa...
Self-similar sets are a class of fractals which can be rigorously defined and treated by mathematica...
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...
A contractive similarity is a function which preserves the geometry of a object but shrinks it down ...
A space-filling curve is a way of mapping the discrete multi-dimensional space into the one-dimensio...
Abstract. We study Minkowski contents and fractal curvatures of arbitrary self-similar tilings (cons...
AbstractWe have given several necessary and sufficient conditions for statistically self-similar set...
The work is the second part of a previous one, published in the same magazine (Contextos I...
AbstractWe are given a two-dimensional square grid of size N × N, where N :=2n and n⩾0. A space fill...
An overview is given of the methods for treating complicated problems without small parameters, when...