2017
DOI: 10.2172/1409218
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PETSc Users Manual Revision 3.8

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Cited by 404 publications
(397 citation statements)
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“…Instead, the minimization step with respect to α ∈ [α i−1 , 1] requires a box-constrained minimization algorithm. The code has been written using the FEniCS library [48,8] for finite elements and PETSc [15,13,14] for linear algebra and bound-constrained solvers. Of course, as the total energy is non convex, one cannot expect convergence of Algo.…”
Section: Numerical Solution Algorithmmentioning
confidence: 99%
“…Instead, the minimization step with respect to α ∈ [α i−1 , 1] requires a box-constrained minimization algorithm. The code has been written using the FEniCS library [48,8] for finite elements and PETSc [15,13,14] for linear algebra and bound-constrained solvers. Of course, as the total energy is non convex, one cannot expect convergence of Algo.…”
Section: Numerical Solution Algorithmmentioning
confidence: 99%
“…To evaluate the values at the cell surfaces, the Green-Gauss method is used and the momentum interpolation scheme (Murthy and Mathur, 1997) is applied. The code is parallelized with MPI (Message Passing Interface), and PETSc (Portable, Extensible Toolkit for Scientific Computation) (Balay et al, 2016) is used for standard solver functions (e.g., the stabilized version of the biconjugate gradient squared method with preconditioning by the block Jacobi method). The developed code has been verified by the method of manufactured solutions (further details provided in Jeon, 2015).…”
Section: Governing Equationsmentioning
confidence: 99%
“…Our finite element code relies on the PETSc library [14] for the solution of linear systems of equations. Amongst other features, the PETSc library allows to solve saddle point problems like the incompressible Navier-Stokes equations by building block preconditioners, in what are called field split preconditioners.…”
Section: Solve For An Intermediate Velocityû N+1mentioning
confidence: 99%