NGS-Py Documentation
NGS-Py Documentation
Release 6.2 Joachim Schoeberl
Jul 10, 2018
Whetting the appetite
1 Poisson equation
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2 Adaptive mesh refinement
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3 Symbolic definition of forms : magnetic field
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4 Navier Stokes Equation
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5 Nonlinear elasticity
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6 Working with CoefficientFunctions
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7 Setting inhomogeneous Dirichlet boundary conditions
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8 Define and update preconditioners
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9 The Trace() operator
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10 Vectors and matrices
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10.1 Large Linear Algebra . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27
11 Static condensation of internal bubbles
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12 Discontinuous Galerkin methods
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13 Parallel computing with NGS-Py
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13.1 Shared memory parallelisation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33
13.2 Distributed memory . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34
14 Interfacing to numpy/scipy
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14.1 Working with small vectors and dense matrices: . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
14.2 Working with large vectors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
14.3 Working with sparse matrices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
14.4 Using iterative solvers from scipy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36
15 Define and mesh 2D geometries
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15.1 Curved boundaries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38
15.2 Multiple subdomains . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38
15.3 Boundary condition markers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38
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15.4 New features since Nov 2, 2015: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 15.5 New feature since Nov 26, 2015: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39
16 Constructive Solid Geometry CSG
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17 Working with meshes
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18 Manual mesh generation
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NGS-Py Documentation, Release 6.2
Netgen/NGSolve 6 contains a rich Python interface. Program flow as well as geometry description and equation setup can be controlled from Python. You should be familiar with weak formulations of partial differential equations and the finite element method (NGSolve-oriented lecture notes are here: Scientific Computing) and the Python programming language. The interface to Python is inspired by the FEniCS project.
Whetting the appetite
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