This paper discusses the usage of sparse sets for integer do- main implementation over traditional representations. A first benefit of sparse sets is that they are very cheap to trail and restore. A second key advantage introduced in this work is that sparse sets permit to get delta changes with a very limited cost, allowing efficient incremental propaga- tion. Sparse sets can also be used to represent subset bound domains for set variables
The goal of this thesis is to demonstrate practical application of sparse data representation in the...
A condition equivalent to sparseness of a set on the plane is formulated and used as a motivation fo...
Large sparse linear system of equations arise in many areas of science and engineering. Although, th...
International audienceThis paper discusses the usage of sparse sets for integer domain implementatio...
Many representations for sets are available in programming languages libraries. The paper focuses on...
Set domains are intended to give semantics to a data type of sets together with a wide range of usef...
Schleif F-M, Zhu X, Hammer B. Sparse prototype representation by core sets. In: Hujun Yin et.al, ed....
Sparse input data is data in which most of the data coefficients are zero. Many areas of scientific ...
Since its introduction, the level set method has become the favorite technique for capturing and tra...
Sparse representation has attracted much attention from researchers in fields of signal processing, ...
In the dissertation various phenomena and concepts of arithmetic nature, such as sumsets, additive e...
Most of the naturally occurring signals typically carry overwhelming amounts of data in which releva...
Sparse representation has attracted much attention from researchers in fields of signal processing, ...
It is a well known experience that for sparse structures one can find fast algorithm for some proble...
Abstract. Most propagation-based set constraint solvers approximate the set of possible sets that a ...
The goal of this thesis is to demonstrate practical application of sparse data representation in the...
A condition equivalent to sparseness of a set on the plane is formulated and used as a motivation fo...
Large sparse linear system of equations arise in many areas of science and engineering. Although, th...
International audienceThis paper discusses the usage of sparse sets for integer domain implementatio...
Many representations for sets are available in programming languages libraries. The paper focuses on...
Set domains are intended to give semantics to a data type of sets together with a wide range of usef...
Schleif F-M, Zhu X, Hammer B. Sparse prototype representation by core sets. In: Hujun Yin et.al, ed....
Sparse input data is data in which most of the data coefficients are zero. Many areas of scientific ...
Since its introduction, the level set method has become the favorite technique for capturing and tra...
Sparse representation has attracted much attention from researchers in fields of signal processing, ...
In the dissertation various phenomena and concepts of arithmetic nature, such as sumsets, additive e...
Most of the naturally occurring signals typically carry overwhelming amounts of data in which releva...
Sparse representation has attracted much attention from researchers in fields of signal processing, ...
It is a well known experience that for sparse structures one can find fast algorithm for some proble...
Abstract. Most propagation-based set constraint solvers approximate the set of possible sets that a ...
The goal of this thesis is to demonstrate practical application of sparse data representation in the...
A condition equivalent to sparseness of a set on the plane is formulated and used as a motivation fo...
Large sparse linear system of equations arise in many areas of science and engineering. Although, th...