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

By Marc Alexander Schweitzer

ISBN-10: 3540003517

ISBN-13: 9783540003519

ISBN-10: 3642593259

ISBN-13: 9783642593253

The numerical remedy of partial differential equations with meshfree discretization options has been a really energetic learn region in recent times. during the past, notwithstanding, meshfree equipment were in an early experimental degree and weren't aggressive end result of the loss of effective iterative solvers and numerical quadrature. This quantity now offers an effective parallel implementation of a meshfree approach, specifically the partition of solidarity approach (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 approach. moreover, distinct details at the parallel implementation of the strategy on disbursed reminiscence pcs is supplied and numerical effects are provided in and 3 area dimensions with linear, greater order and augmented approximation areas with as much as forty two million levels of freedom.

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

Example text

0: e (Xk, bk ). For = 1, ... , V1: Set Xk = 1 Set dk- 1 := I:- (b k - AkXk). Set ek-1 := O. For i = 1, ... ,-y: ek-1 = M~",l/2 (k -1,ek-1,dk-d. Set Xk = Ck (Xk, ek-d := Xk + ILl ek-1· (f) For I = 1, ... , V2: Set Xk = srost (Xk, bk ). 2. else: (a) Set Xk = A;;lbk . 1. e. their matrix representations, are used to transport coefficient vectors u , whereas the re1 are used to transport moment vectors j. The paramestriction operators ter 'Y determines the recursive cycling scheme of the algorithm and thereby its I:- 54 4.

In summary, sparse grid quadrature rules are not only cheaper to evaluate (esp. in higher dimensions) compared with tensor product rules, but rather their overall efficiency with respect to accuracy is significantly better. 3) is shown for a wide variety of function classes. In fact, sparse grid quadrature rules based on Gauss- Patterson rules converge exponentially for smooth integrands. Since, the integrands we are interested in are smooth on the cells Dws y.. of the constructed decomposition Dw·y we use Gauss- Patterson sparse grid rules for the numerical integration of the stiffness matrix entries.

A tensor product of local polynomials. If we use other approximation functions with radial characteristic or augment a local polynomial space by singular functions we may need to employ other quadrature rules (at least for the singular shape functions). But since the employed local basis {'l/Ji} on patch Wi is known in advance we can select an appropriate quadrature rule prior to the assembly of the stiffness matrix. ,.. of step 3 may in generallead to (locally) non-smooth integrands where an isotropic sparse grid quadrature scheme may not be well-suited on all integration cells D~i;.

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A Parallel Multilevel Partition of Unity Method for Elliptic Partial Differential Equations by Marc Alexander Schweitzer

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