2) low-rank approximation
低秩逼近
1.
As a technology for obtaining low rank denotation of extremely large matrix, Low-Rank Approximation plays an important role in many fields such as pattern recognition, machine learning and data mining.
低秩逼近是一种寻求大规摸矩阵的低秩近似表示技术,在模式识别,机器学习和数据挖掘等领域有着广泛的应用,是人们从复杂的数据中寻找有用信息的强有力的方法。
3) Low Rank Approximation of Matrix
矩阵低秩近似
4) Matrix approximation
矩阵逼近
1.
Based on matrix optimal approximation and weighted residuals theory, the matrix approximation and the extremal algorithm for resolving inverse problems of vibration engineering are integrated with least squares problem under definition of norms in this paper.
根据矩阵最佳逼近与加权残值理论 ,把求解振动反问题时所使用的矩阵逼近法和极值化算法统一为不同范数定义下的最小二乘问题 ,这对部分振频和 /或振型给定情况下振动反问题的求解提供了一个有效工具。
2.
From the eigenequation and the orthogonality conditions a best matrix approximation technique for updated analytical model based on test identified modal parameters is presented in this paper.
本文从特征方程和模态正交条件出发，给出了一种应用模态参数识别结果修正理论模型的最佳矩阵逼近方法。
3.
For uncertain continuous system and uncertain discrete-time system with input contraints,the optimization problem with given expectation value of performance index is discussed,which can be transformed into the problem of matrix approximation with matrix inequalities contraints.
针对不确定连续系统和具有控制约束的不确定离散系统,讨论了具有给定性能指标期望值的最优控制问题,这一问题可转变为具有矩阵不等式约束的矩阵逼近问题,而且进一步把解决具有矩阵不等式约束的矩阵逼近问题转变成具有线性矩阵不等式约束的广义特征值最小化问题,并结合算例说明通过LMI工具箱中的求解器可求出系统的最优解。
5) approximation matrix
逼近矩阵
6) matrix Padé approximation
矩阵Padé逼近
1.
When all interpolation points approach zero,a matrix Padé approximation with chosen coefficients is constructed,whose coefficients can be obtained by the least square method.
当所有的插值结点都趋于零时,导出了系数可选择的矩阵Padé逼近,其中的系数可用非常有效的最小二乘法求得。
补充资料：誾誾秩秩
1.人才众多貌。
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