libslepc-complex3.17
Scalable Library for Eigenvalue Problem Computations
SLEPc is a software library for the solution of large scale sparse eigenvalue
problems on parallel computers. It is an extension of PETSc and can be used
for either standard or generalized eigenproblems, with real or complex
arithmetic. It can also be used for computing a partial SVD of a large,
sparse, rectangular matrix.
libslepc-real3.17
Scalable Library for Eigenvalue Problem Computations
SLEPc is a software library for the solution of large scale sparse eigenvalue
problems on parallel computers. It is an extension of PETSc and can be used
for either standard or generalized eigenproblems, with real or complex
arithmetic. It can also be used for computing a partial SVD of a large,
sparse, rectangular matrix.
libslepc64-complex3.17
Scalable Library for Eigenvalue Problem Computations (64-bit)
SLEPc is a software library for the solution of large scale sparse eigenvalue
problems on parallel computers. It is an extension of PETSc and can be used
for either standard or generalized eigenproblems, with real or complex
arithmetic. It can also be used for computing a partial SVD of a large,
sparse, rectangular matrix.
libslepc64-real3.17
Scalable Library for Eigenvalue Problem Computations (64-bit)
SLEPc is a software library for the solution of large scale sparse eigenvalue
problems on parallel computers. It is an extension of PETSc and can be used
for either standard or generalized eigenproblems, with real or complex
arithmetic. It can also be used for computing a partial SVD of a large,
sparse, rectangular matrix.
python3-slepc4py-64-complex3.17
Python 3 bindings for 64-bit SLEPc 3.17 libraries (complex numbers)
SLEPc is the Scalable Library for Eigenvalue Problem Computations.
python3-slepc4py-64-real3.17
Python 3 bindings for 64-bit SLEPc 3.17 libraries (real numbers)
SLEPc is the Scalable Library for Eigenvalue Problem Computations.