Processor Efficient Parallel Solution of Linear Systems of Equations
โ Scribed by Gilles Villard
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 65 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0196-6774
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โฆ Synopsis
We present a deterministic parallel algorithm that solves a n-dimensional system Ax s b of linear equations over an ordered field or over a subfield of the complex ลฝ 2 . ลฝ ร ลฝ . 2 numbers. This algorithm uses O log n parallel time and O max M n , n ลฝ . 4 . ลฝ . log log n rlog n arithmetic processors if M n is the processor complexity of fast parallel matrix multiplication.
๐ SIMILAR VOLUMES
Let K be a field of characteristic zero and M(Y ) = N a system of linear differential equations with coefficients in K(x). We propose a new algorithm to compute the set of rational solutions of such a system. This algorithm does not require the use of cyclic vectors. It has been implemented in Maple
The conjugate gradient method is an ingenious method for iterative solution of sparse linear equations. It is now a standard benchmark for parallel scientific computing. In the author's opinion, the apparent mystery of this method is largely due to the inadequate way in which it is presented in text