Titlebook: Parallel-Vector Equation Solvers for Finite Element Engineering Applications; Duc Thai Nguyen Book 2002 Springer Science+Business Media Ne

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MEAN

Parallel Algorithms for Generation and Assembly of Finite Element Matrices,nce it represents a major fraction of CPU time for the solution process in statics, free vibration, transient response, structural optimization, and control structure interaction (CSI) of large-scale, flexible space structures. Researchers are endeavoring to develop efficient parallel algorithms for

AVERT

condone

,Parallel — Vector Variable Bandwidth Equation Solver on Shared Memory Computers,ry computers (such as the Cray-2, Cray-YMP, Cray-C90, etc..) had been discussed. The factorized algorithms discussed in Chapter 4 have been based upon the “dot product” operations. For certain types of shared memory computers (such as Cray-YMP, Cray-C90, etc.), “Saxpy” operations (to be explained in

内疚

Parallel-Vector Variable Bandwidth Out-of-Core Equation Solver,ery limited. For example, the Cray Y-MP has only 256 mega words incore memory compared to its 90 gigabytes of disk storage. Furthermore, in a multi-user environment, each user can only have 10 mega words of main memory, while 200 mega words of disk storage is available. A typical aircraft structure

可憎

A Parallel-Vector Skyline Equation Solver for Distributed-Memory Computers,ith massively parallel computers and distributed memory. Though the relatively rapid growth in microprocessor technology over the last decade has lead to the development of massively parallel architectures capable of performing Giga arithmetic operations in a single second, the software required to

preeclampsia

Parallel-Vector Unsymmetrical Equation Solver,ations due to the appearance of the unsymmetric aerodynamic influence matrix. When large deflections and unsteady third-order piston theory aerodynamics are considered in the flutter analysis, it is necessary to solve the unsymmetric equations incrementally and/or to solve the unsymmetric generalize

分贝

MAPLE

Sparse Equation Solver with Unrolling Strategies,efficient equation solvers is particularly important for static and dynamic (linear and non-linear) structural analyses, sensitivity and structural optimization, control-structure interactions, ground water flows, panel flutters, eigenvalue analysis etc…. [.–.]. Modern high-performance computers (su

细胞膜

Algorithms for Sparse-Symmetrical-Indefinite and Sparse-Unsymmetrical System of Equations,sitive definite.” Instead, it can be symmetric (or unsymmetric) and/or “indefinite” matrix. For these problems, pivoting strategies [.–.] are often required in order to avoid numerical difficulties. For symmetric, positive definite matrix [.–.], since pivoting strategies are not required, thus it is