1) Gaussian elimination with maximal column pivoting
Gauss列主元消去法
1.
A parallel algorithm for effectively solving dense linear equations on LAN based on PVMsystem is discussed,which is based on the combination of Gauss-Jordan elimination and Gaussian elimination with maximal column pivoting.
将求解线性方程组的Gauss-Jordan消去法与Gauss列主元消去法结合起来,提出了利用并行计算支撑软件PVM在局域网上高效并行求解稠密线性方程组的算法。
2) complete Gaussian pivoting elimination
Gauss全主元消去法
3) main element elimination method
列主元消去法
1.
This paper proposes a method which combines the Gauss main element elimination method with compress storage technique to solve the equations more efficiently and accurately.
针对Saint Venant方程组离散后所形成的线性代数方程组的求解问题 ,将Gauss列主元消去法与压缩存贮技术相结合 ,提出了存贮单元少、舍入误差小且数值计算稳定的计算方法 ,使得河网非恒定流的数值计算更加高效 ,并且计算的精度可得到充分的保证 。
4) Gauss Elimination
Gauss消去法
1.
As for the standard method for solving the linear systems, Gauss elimination needs O(n 3) arithmetic operations.
而用经典的Gauss消去法解该线性方程组则需要O(n3 )的工作量 。
5) Gauss elimination method
Gauss消去法
1.
The author believes that if Gauss elimination method is supplemented with the idea of column pivot element,the application scope of Jacobi Iteration can be further enlarged.
而如果在Gauss消去法中加入列选主元的思想,则能进一步地扩大Jacobi等迭代法的使用范围。
6) Gauss-Jordan elimination
Gauss-Jordan消去法
1.
A parallel algorithm for effectively solving dense linear equations on LAN based on PVMsystem is discussed,which is based on the combination of Gauss-Jordan elimination and Gaussian elimination with maximal column pivoting.
将求解线性方程组的Gauss-Jordan消去法与Gauss列主元消去法结合起来,提出了利用并行计算支撑软件PVM在局域网上高效并行求解稠密线性方程组的算法。
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