SLEPc is a software library for the parallel computation of eigenvalues and eigenvectors of large, sparse matrices. It can be seen as a module of PETSc that provides solvers for different types of eigenproblems, including linear (standard and generalized) and nonlinear (quadratic, polynomial and general), as well as the SVD. Recent versions also include support for matrix functions. It uses the MPI standard for parallelization. Both real and complex arithmetic are supported, with single, double and quadruple precision.
| Property |
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| dbo:abstract |
SLEPc is a software library for the parallel computation of eigenvalues and eigenvectors of large, sparse matrices. It can be seen as a module of PETSc that provides solvers for different types of eigenproblems, including linear (standard and generalized) and nonlinear (quadratic, polynomial and general), as well as the SVD. Recent versions also include support for matrix functions. It uses the MPI standard for parallelization. Both real and complex arithmetic are supported, with single, double and quadruple precision. When using SLEPc, the application programmer can use any of the PETSc's data structures and solvers. Other PETSc features are incorporated into SLEPc as well, such as command-line option setting, automatic profiling, error checking, portability to virtually all computing platforms, etc. (en) |
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2022-03-31 (xsd:date) |
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3.17 |
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dbr:BSD_licenses |
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https://slepc.upv.es |
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Scientific simulation software (en) |
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C ,C++, FORTRAN, Python (en) |
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2022-03-31 (xsd:date) |
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3.170000 (xsd:double) |
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dbr:BSD_licenses |
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SLEPc (en) |
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https://slepc.upv.es |
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dbt:Infobox_software dbt:Reflist dbt:Start_date_and_age |
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dbr:Library |
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| rdfs:comment |
SLEPc is a software library for the parallel computation of eigenvalues and eigenvectors of large, sparse matrices. It can be seen as a module of PETSc that provides solvers for different types of eigenproblems, including linear (standard and generalized) and nonlinear (quadratic, polynomial and general), as well as the SVD. Recent versions also include support for matrix functions. It uses the MPI standard for parallelization. Both real and complex arithmetic are supported, with single, double and quadruple precision. (en) |
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SLEPc (en) |
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freebase:SLEPc wikidata:SLEPc https://global.dbpedia.org/id/4ufA9 |
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wikipedia-en:SLEPc?oldid=1097252681&ns=0 |
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https://slepc.upv.es |
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wikipedia-en:SLEPc |
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SLEPc (en) |
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dbr:List_of_numerical_libraries dbr:LOBPCG dbr:ARPACK dbr:Sparse_matrix dbr:Nonlinear_eigenproblem |
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