1) generalized Cholesky factorization
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广义Cholesky分解
1.
Firstly,the indefinite quadratic programming was preconditioned by generalized Cholesky factorization,then concave-convex separation was carried out and the branch and bound algorithm was used to solve the last problem.
首先利用广义Cholesky分解对该类不定二次规划问题进行预处理,然后进行凹凸分离并用常见的分枝定界法进行求解。
3) Cholesky decomposition
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Cholesky分解
1.
An improved Cholesky decomposition method based on DSP implement in joint Detection;
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一种基于DSP实现的改进Cholesky分解方法
2.
FPGA implementation of configurable matrix inversion based on Cholesky decomposition
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基于Cholesky分解的可配置矩阵求逆FPGA实现
3.
Performance evaluation of Cholesky decomposition parallel algorithm
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Cholesky分解并行算法的性能评测
4) Cholesky factorization
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Cholesky分解
1.
Rice condition numbers of QR and Cholesky factorizations;
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QR分解和Cholesky分解的Rice条件数(英文)
2.
The fast hyperbolic transformation in hyperbolic Cholesky factorization;
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双曲Cholesky分解中的快速双曲旋转变换
3.
By using the Cholesky factorization and inverse method for unit lower triangular matrix, the multi-sensor measurement model with correlated measurement noises is transformed to an equivalent pseudo one with uncorrelated measurement noises; then based on the Markov estimation, a new multi-sensor data fusion method with correlated measurement noises is proposed.
对于测量噪声相关的多传感器测量模型,利用Cholesky分解和单位下三角阵的求逆方法,将其转化为测量噪声互不相关的等价的多传感器伪测量模型,然后基于Markov估计,提出了一种测量噪声相关情况下多传感器数据融合的新方法。
5) Cholesky factorization
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Cholesky分解法
1.
A graph model for Cholesky factorization dealing with symmetric positive coefficient matrix is proposed.
通过对Cholesky分解法求解线性方程组的分析 ,建立Cholesky分解法三角化对称正定阵的图模型 ,并基于该模型及Mesh结构P/G网络的自身特点 ,提出一个P/G网快速分析算法 实验证明 ,该算法能大大降低Mesh结构P/G网络的分析运算时间和内存占
2.
Cholesky factorization technique is used to shorten the run-time of sub-network computation.
其中,对于子网运算,通过对Cholesky分解法三角化对称正定阵的图模型分析,并基于Mesh结构网络的自身特点,提出了一个基于图顶点排序的加速子网分析运算策略;并用基于MPI的并行结构实现了P/G布线网络分析的并行运算。
3.
To shorten the run-time of computing sub-net using Cholesky factorization technique, a graph model for Cholesky factors dealing with symmetric positive coefficient matrix is discussed and a novel technique based on vertex sorting and removing is presented.
其中,对于子网运算,通过对Cholesky分解法三角化对称正定阵的图模型分析,提出了基于图顶点消去排序的加速子网分析运算策略,并用基于MPI的并行结构实现了P/G网分析的并行运算。
6) Cholesky-like factorization
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Cholesky-like分解
1.
Every real skew-symmetric matrix B admits Cholesky-like factorizations B=R~T J R,where J=(0 (-I) I 0),R is a permuted triangular matrix.
设实反对称矩阵B的Cholesky-like分解为B=R~TJR,其中J=(0 (-I) I 0),R是上三角矩阵的重排。
补充资料:广义
范围较宽的定义(跟‘狭义’相对):~的杂文也可以包括小品文在内。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
参考词条