Download A Parallel Multilevel Partition of Unity Method for Elliptic by Marc Alexander Schweitzer PDF

By Marc Alexander Schweitzer

The numerical remedy of partial differential equations with meshfree discretization recommendations has been a really lively learn sector lately. in the past, even if, meshfree tools were in an early experimental level and weren't aggressive as a result of the loss of effective iterative solvers and numerical quadrature. This quantity now provides a good parallel implementation of a meshfree approach, particularly the partition of cohesion technique (PUM). A common numerical integration scheme is gifted for the effective meeting of the stiffness matrix in addition to an optimum multilevel solver for the bobbing up linear method. in addition, special info at the parallel implementation of the tactic on dispensed reminiscence desktops is equipped and numerical effects are awarded in and 3 house dimensions with linear, larger order and augmented approximation areas with as much as forty two million levels of freedom.


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Additional info for A Parallel Multilevel Partition of Unity Method for Elliptic Partial Differential Equations

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2. I. , The Jacobian JTsWij for a simple d-rectangular integration cell is of course constant and this transformation does not increase the costs of the numerical integration. , involves the mappings Rb of the domain representation. Therefore, the Jacobian may well be space-dependent and has to be evaluated at every integration node of the quadrature rule. Again, the error during the numerical quadrature has to be controlled by the selection of Ea and Er to ensure that the order of approximation is not compromised by the integration error.

We assume that a representation for the boundary aD is given as part of the computational domain D. -) t) t) 30 3. Treatment of Elliptic Equations assume the domain a and its boundary aa are given as a collection of mappings Rb : [-1, l]d --+ a c ]Rd from a reference cell into the physical space a C]Rd with URt([-l, l]d) = n. e. the mappings themselves are only an approximation to the true domain a, or may be coming from a given analytical representation of the domain a. With the help of these mappings Rb we can compute the parametric integration cell D~ 1,3..

8. When we compare these results with those of the previous example we see that we achieve not only the same convergence rates P independent of the boundary conditions but also the absolute values of the measured errors e are comparable. 9. 3. In our third example we now consider the Neumann problem -Llu +u = fin D = (0,1)3, un = 9 on aD, of Helmholtz type on the unit cube in three dimensions. Here, we choose and 9 such that the solution is given by ( )_ uX,y,z - z cos(41f(x - y)) sinh(41f(x . 17) which is smooth but has very large gradients along the edge (1 , 1, z).

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