This article describes sixteen different ways to traverse d-dimensional space recursively in a way that is well-defined for any number of dimensions. Each of these traversals has distinct properties that may be beneficial for certain applications. Some of the traversals are novel, some have been known in principle but had not been described adequately for any number of dimensions, some of the traversals have been known. This article is the first to present them all in a consistent notation system. Furthermore, with this article, tools are provided to enumerate points in a regular grid in the order in which they are visited by each traversal. In particular, we cover: five discontinuous traversals based on subdividing cubes into 2^d subcubes:...
Hilbert’s two-dimensional space-filling curve is appreciated for its good locality properties for ma...
Indexing schemes for grids based on space-filling curves (e.g., Hilbert curves) find applications in...
Abstract R-trees can be used to store and query sets of point data in two or more dimensions. An eas...
This article describes sixteen different ways to traverse d-dimensional space recursively in a way t...
Hilbert's two-dimensional space-filling curve is appreciated for its good locality-preserving proper...
Hilbert's two-dimensional space-filling curve is appreciated for its good locality-preserving proper...
This paper introduces a new way of generalizing Hilbert's two-dimensional space-filling curve to arb...
This paper introduces a new way of generalizing Hilbert’s two-dimensional space-filling curve to arb...
This tip will describe the use of a graphical tool to explore the recursive Hilbert curves and will ...
A space-filling curve is a way of mapping the discrete multi-dimensional space into the one-dimensio...
A space-filling curve (SFC) is a way of mapping a multi-dimensional space into a one-dimensional spa...
The use of space filling curves for proximity-improving mappings is well known and has found many us...
Hilbert's two-dimensional space-filling curve is appreciated for its good locality properties for ma...
Abstract. A space-filling three-dimensional serial polyaxis analogous to the Peano-Hilbert curve, fr...
In this thesis we develop and analyze algorithms for computing space-lling curve orders, Delaunay te...
Hilbert’s two-dimensional space-filling curve is appreciated for its good locality properties for ma...
Indexing schemes for grids based on space-filling curves (e.g., Hilbert curves) find applications in...
Abstract R-trees can be used to store and query sets of point data in two or more dimensions. An eas...
This article describes sixteen different ways to traverse d-dimensional space recursively in a way t...
Hilbert's two-dimensional space-filling curve is appreciated for its good locality-preserving proper...
Hilbert's two-dimensional space-filling curve is appreciated for its good locality-preserving proper...
This paper introduces a new way of generalizing Hilbert's two-dimensional space-filling curve to arb...
This paper introduces a new way of generalizing Hilbert’s two-dimensional space-filling curve to arb...
This tip will describe the use of a graphical tool to explore the recursive Hilbert curves and will ...
A space-filling curve is a way of mapping the discrete multi-dimensional space into the one-dimensio...
A space-filling curve (SFC) is a way of mapping a multi-dimensional space into a one-dimensional spa...
The use of space filling curves for proximity-improving mappings is well known and has found many us...
Hilbert's two-dimensional space-filling curve is appreciated for its good locality properties for ma...
Abstract. A space-filling three-dimensional serial polyaxis analogous to the Peano-Hilbert curve, fr...
In this thesis we develop and analyze algorithms for computing space-lling curve orders, Delaunay te...
Hilbert’s two-dimensional space-filling curve is appreciated for its good locality properties for ma...
Indexing schemes for grids based on space-filling curves (e.g., Hilbert curves) find applications in...
Abstract R-trees can be used to store and query sets of point data in two or more dimensions. An eas...