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SLEPc: Scalable Library for Eigenvalue Problem Computations

Project description

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, and to solve quadratic eigenvalue problems

Tip

You can also install slepc-dev with:

$ pip install petsc==dev slepc==dev

Project details


Release history Release notifications

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3.9.0

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3.8.0

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3.7.1

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3.7.0

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3.6.0

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3.5.3

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3.5.1

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3.5

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3.4.4

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3.4.3

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3.4.2

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3.4.1

This version
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3.3.4

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3.3.3

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3.3.2

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3.2.1

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3.1.post6

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3.1.post5

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3.1.post4

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