Iterative solutions to large sparse finite element equations /
355 workstation was the limiting factor for the size of the
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| Format: | Thesis eBook |
| Language: | English |
| Published: |
[Place of publication not identified] :
[publisher not identified] ;
1995.
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| Subjects: | |
| Online Access: | Link to OAKTrust copy |
| Summary: | 355 workstation was the limiting factor for the size of the accurate mesh based on adaptive mesh refinement iterative adaptive mesh refinement on certain regions of a coarse mesh, compact row storage has solved a three-dimensional finite convergence rate and solution time are also analyzed. The convergence rate relationship and storage requirements for convergence rate, and the solution time for the direct and diagonal preconditioned conjugate gradient method with the diagonal scaling, incomplete Cholesky decomposition and SSOR different material properties and external loading on the dimensional linear elasticity finite element equations. The element problem up to a maximum of 50,000 equations on an IBM element, and compact row storage, are described along with elements. A procedure to directly assemble the global intermediate unconverged coarse mesh solution will closely Iterative methods are widely used to solve sparse linear match the modeling error from the converged solution. This matrix storage techniques, such as profile, element-by- methods. PCG methods using various storage formats. Effects of performed to compare the storage requirements, the physical memory of 64 MB of RAM of the IBM RISC/6000 Model preconditioners is explained in detail in this study. Sparse problem which can be solved on a given computer compared to reducing the solution time and increasing the size of the result may lead to quicker solution times for a highly RISC/6000 Model 355 workstation with 64 MB of RAM. To apply sparse linear system that could be solved in this study. The stiffness in compact row storage format from element stiffness matrices is introduced. Numerical studies have been systems due to the improvements which can be achieved in test problems for this study are based on the three- the modeling error over a coarse mesh must be estimated. the preconditioned conjugate gradient methods using the the redefined matrix operations for each storage technique This thesis will show that the modeling error from an traditional direct solvers. The theory behind the which must be used to eliminate the operations on zero |
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| Item Description: | "Major subject: Aerospace Engineering". Vita. |
| Physical Description: | xi, 96 leaves : illustrations ; 28 cm. Also available online. Issued also on microfiche from Lange Micrographics. |
| Bibliography: | Includes bibliographical references. |