Results 51 to 60 of about 9,204,806 (93)

Weighted Majorization Algorithms for Weighted Least Squares Decomposition Models [PDF]

For many least-squares decomposition models efficient algorithms are well known. A more difficult problem arises in decomposition models where each residual is weighted by a nonnegative value.
Groenen, P.J.F., Kiers, H.A.L., Giaquinto, P.   +2 more
core  

Block-Toeplitz/Hankel structured total least squares

, 2005
A multivariate structured total least squares problem is considered, in which the extended data matrix is partitioned into blocks and each of the blocks is block-Toeplitz/Hankel structured, unstructured, or noise free.
Pintelon, R., Van Huffel, S., Markovsky, I.   +2 more
core   +1 more source

Development of a new meshless — point weighted least-squares (PWLS) method for computational mechanics

, 2004
A truly meshless approach, point weighted least-squares (PWLS) method, is developed in this paper. In the present PWLS method, two sets of distributed points are adopted, i.e. fields node and collocation point.
Li, Hua, Wang, Q. X., Lam, K. Y.
core   +1 more source

Application of structured total least squares for system identification and model reduction

, 2004
The following identification problem is considered: minimize the l2 norm of the difference between a given time series and an approximating one under the constraint that the approximating time series is a trajectory of a linear time invariant system of a
Pintelon, R., Van Huffel, S., Willems, J. C., Rik Pintelon, Ivan Markovsky, Jan C. Willems, Markovsky, I., Bart De Moor, Sabine Van Huffel, De Moor, B.   +9 more
core  

Application of structured total least squares for system identification and model reduction

, 2005
The following identification problem is considered: minimize the l2 norm of the difference between a given time series and an approximating one under the constraint that the approximating time series is a trajectory of a linear time invariant system of a
Pintelon, R., Van Huffel, S., Willems, J. C., Markovsky, I., De Moor, B.   +4 more
core  

Analysis of microelectromechanical systems (MEMS) devices by the meshless point weighted least-squares method

, 2007
In this paper, the characteristics of microelectromechanical systems (MEMS) devices are analyzed by a meshless method—point weighted least-squares (PWLS) method. In the present meshless method, field nodes and collocation points are adopted.
Li, Hua, Wang, Q. X., Lam, K. Y.
core   +1 more source

Exact optimal designs for weighted least squares analysis with correlated errors [PDF]

In the common linear and quadratic regression model with an autoregressive error structure exact D-optimal designs for weighted least squares analysis are determined.
Kunert, Joachim, Dette, Holger
core  

Structured low-rank approximation with missing data

The approach of SIAM J. Matrix Anal. Appl., 26(4):1083--1099 for solving structured total least squares problems is generalized to weighted structured low-rank approximation with missing data. The method proposed is based on elimination of the correction
Markovsky, Ivan, Usevich, Konstantin
core   +1 more source

Benchmarking least squares support vector machine classifiers. [PDF]

In Support Vector Machines (SVMs), the solution of the classification problem is characterized by a ( convex) quadratic programming (QP) problem. In a modified version of SVMs, called Least Squares SVM classifiers (LS-SVMs), a least squares cost function
Suykens, Johan, Vandewalle, Joos, De Moor, Bart, Van Gestel, Tony, Vanthienen, Jan, Baesens, Bart, Dedene, Guido, Viaene, Stijn   +7 more
core  

Raw Data-Based Motion Compensation for High-Resolution Sliding Spotlight Synthetic Aperture Radar. [PDF]

Sensors (Basel), 2018
Li N, Niu S, Guo Z, Liu Y, Chen J.
europepmc   +1 more source