puredata64-core

realtime computer music and graphics system - core components (double)

Pure Data (also known as Pd) is a real-time graphical programming environment for audio and graphics processing.

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.