SparseTool is a collection of simple and efficient classes for manipulating large vectors and large sparse matrices. Operator overloading permits to hide complex storage format and manipulate sparse matrix in simple and transparent way. The implementation is in C++ programming lan-guage using expression templates and static polymorphism programming paradigm for better performance. The toolkit consisting in only one large header file so that it does not require any installation or compilation procedure
AbstractThere exist many storage formats for the in-memory representation of sparse matrices. Choosi...
We discuss the interface design for the Sparse Basic Linear Algebra Subprograms (BLAS), the kernels ...
Abstract. Matlab*P is a flexible interactive system that enables computational scientists and engine...
We describe an object oriented sparse matrix library in C++ designed for portability and performance...
When implementing functionality which requires sparse matrices, there are numerous storage formats t...
We have implemented the Bernoulli generic programming system for sparse matrix computations. What di...
Despite the importance of sparse matrices in numerous fields of science, software implementations re...
International audienceThe efficiency of a sparse linear algebra operation heavily relies on the abil...
Sparse matrix computations arise in many scientific computing problems and for some (e.g.: iterative...
Sparse matrices are stored in compressed formats in which zeros are not stored explicitly. Writing h...
Abstract. We have extended the matrix computation language and environment Matlab to include sparse ...
Sparse matrices are stored in compressed formats in which zeros are not stored explicitly. Writing h...
SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the pack...
SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the pack...
I create a library for storing matrices and working with matrices in this bachelor’s thesis. In this...
AbstractThere exist many storage formats for the in-memory representation of sparse matrices. Choosi...
We discuss the interface design for the Sparse Basic Linear Algebra Subprograms (BLAS), the kernels ...
Abstract. Matlab*P is a flexible interactive system that enables computational scientists and engine...
We describe an object oriented sparse matrix library in C++ designed for portability and performance...
When implementing functionality which requires sparse matrices, there are numerous storage formats t...
We have implemented the Bernoulli generic programming system for sparse matrix computations. What di...
Despite the importance of sparse matrices in numerous fields of science, software implementations re...
International audienceThe efficiency of a sparse linear algebra operation heavily relies on the abil...
Sparse matrix computations arise in many scientific computing problems and for some (e.g.: iterative...
Sparse matrices are stored in compressed formats in which zeros are not stored explicitly. Writing h...
Abstract. We have extended the matrix computation language and environment Matlab to include sparse ...
Sparse matrices are stored in compressed formats in which zeros are not stored explicitly. Writing h...
SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the pack...
SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the pack...
I create a library for storing matrices and working with matrices in this bachelor’s thesis. In this...
AbstractThere exist many storage formats for the in-memory representation of sparse matrices. Choosi...
We discuss the interface design for the Sparse Basic Linear Algebra Subprograms (BLAS), the kernels ...
Abstract. Matlab*P is a flexible interactive system that enables computational scientists and engine...