By Marián Vajtersic

This quantity offers with difficulties of contemporary potent algorithms for the numerical answer of the main often happening elliptic partial differential equations. From the viewpoint of implementation, realization is paid to algorithms for either classical sequential and parallel computers.

the 1st chapters are dedicated to quickly algorithms for fixing the Poisson and biharmonic equation. within the 3rd bankruptcy, parallel algorithms for version parallel computers of the SIMD and MIMD kinds are defined. The implementation points of parallel algorithms for fixing version elliptic boundary worth difficulties are defined for platforms with matrix, pipeline and multiprocessor parallel desktop architectures. a latest and renowned multigrid computational precept which bargains a very good chance for a parallel awareness is defined within the subsequent bankruptcy. extra parallel variations established during this thought are awarded, wherein tools and assignments options for hypercube structures are taken care of in additional element. The final bankruptcy provides VLSI designs for fixing targeted tridiagonal linear platforms of equations coming up from finite-difference approximations of elliptic difficulties.

For researchers drawn to the improvement and alertness of quick algorithms for fixing elliptic partial differential equations utilizing complicated desktops.

**Read or Download Algorithms for Elliptic Problems: Efficient Sequential and Parallel Solvers PDF**

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**Additional resources for Algorithms for Elliptic Problems: Efficient Sequential and Parallel Solvers**

**Example text**

N - 1. In general, für l' = 1, 2, ... , k - 1, we have J. '21'+1 . Similarly as für (1. 28). 29). 35) by factorization of the matrix B(k+l). 30). Table 3 Algorithm Complexity Matrix decomposition with Fourier trallsform SN'21 og N Cyclic reductioll ; N 2 10g N BUlleman 6 N 2 10g N Table :3 gives tllP evaluations of compntational cOl1lplexity for all three considered algorithms. 1 Introcludion Having construeted the eliscretizatioll grid witl! te step h = l/(N + 1) on a rectangular domain, after approximating the Diriehlet problem for separablc elliptic partial equations by final elifferenccs at the grid points, we obtain linear systems of equations of the form Cu= w, (LH) where C is a positive definite matrix of elimension ;V2.

39) so me of the elementary iterative lllethoels for the Poisson equatioll. 40) where n = diag(4, 4, ... , 4). 44) where w is the relaxation parameter. 43). The number of operations attained by this method is PSOR = O( N In [-1). , s2(B) = cos 2 7rh. With [ =h 2 , the respective numbers ofiteratiolls in the Jacobi, GaussSeidel and SOR methods are ]JJ O( N 2 log N), jJes (1/2 )PJ and PSOR = O( N log N). O(N 2 ), where jJ is the respective number of iterations amI O( N 2 ) is the number of operations needed for computing a single iteration.

11 is i Ill))()rt ant u·(J", y) DOJnaill ~, L· Y , ~~ ~L2. 2jJ ,I' x sin 2;:18 = ,. SO (10- 4 ) ) Fast. ion 37 that the number of operations necessary for solving the problem is proportional to the number of unknown values at the points of the finest grid. 2, the general principle of ernbedding is discussed. 3. 4 is devoted to a description of the method of decomposing a domain into several rectangles. 5. 6, we introduce a direct method for solving the POiSSOIl equation on a disc that uses neither decomposition nor embedding.