Indexing schemes for grids based on space-filling curves (e.g., Hilbert curves) find applications in numerous fields, ranging from parallel processing over data structures to image processing. Because of an increasing interest in discrete multidimensional spaces, indexing schemes for them have won considerable interest. Hilbert curves are the most simple and popular space-filling indexing schemes. We extend the concept of curves with Hilbert property to arbitrary dimensions and present first results concerning their structural analysis that also simplify their applicability
Abstract R-trees can be used to store and query sets of point data in two or more dimensions. An eas...
Abstract. The eciency of many algorithms in parallel processing, computational geometry, image proce...
A map has to be designed to show the directions and the objects present in a specific area. So, it i...
Space-filling curves, particularly Hilbert curves, have proven to be a powerful paradigm for maintai...
Mapping to one-dimensional values and then using a one-dimensional indexing method has been proposed...
Hilbert's two-dimensional space-filling curve is appreciated for its good locality properties for ma...
Hilbert’s two-dimensional space-filling curve is appreciated for its good locality properties for ma...
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...
Several schemes for linear mapping of a multidimensional space have been proposed for various applic...
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...
R-trees can be used to store and query sets of point data in two or more dimensions. An easy way to ...
Indexing schemes based on space filling curves like the Hilbert curve are a powerful tool for buildi...
Several schemes for linear mapping of multidimensional space have been proposed for many application...
Abstract R-trees can be used to store and query sets of point data in two or more dimensions. An eas...
Abstract. The eciency of many algorithms in parallel processing, computational geometry, image proce...
A map has to be designed to show the directions and the objects present in a specific area. So, it i...
Space-filling curves, particularly Hilbert curves, have proven to be a powerful paradigm for maintai...
Mapping to one-dimensional values and then using a one-dimensional indexing method has been proposed...
Hilbert's two-dimensional space-filling curve is appreciated for its good locality properties for ma...
Hilbert’s two-dimensional space-filling curve is appreciated for its good locality properties for ma...
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...
Several schemes for linear mapping of a multidimensional space have been proposed for various applic...
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...
R-trees can be used to store and query sets of point data in two or more dimensions. An easy way to ...
Indexing schemes based on space filling curves like the Hilbert curve are a powerful tool for buildi...
Several schemes for linear mapping of multidimensional space have been proposed for many application...
Abstract R-trees can be used to store and query sets of point data in two or more dimensions. An eas...
Abstract. The eciency of many algorithms in parallel processing, computational geometry, image proce...
A map has to be designed to show the directions and the objects present in a specific area. So, it i...