Results 51 to 60 of about 14,024,872 (145)
The element-wise weighted total least squares problem
A new technique for parameter estimation is considered in a linear measurement error model AX approx B, A = A0 + tilde A, B = B0 + tilde B, with row-wise independent and non-identically distributed measurement errors tilde A, tilde B.
Premoli, P. +3 more
core +1 more source
In recent years, meshless methods have gained their popularity, mainly due to the fact that absolutely no elements are required to discretize the problem domain.
Effendy Tanojo
doaj
High-performance numerical algorithms and software for structured total least squares [PDF]
We present a software package for structured total least squares approximation problems. The allowed structures in the data matrix are block-Toeplitz, block-Hankel, unstructured, and exact.
Van Huffel, S. +3 more
core +2 more sources
For the laser tracking and positioning system of a moving target using a four-quadrant detector, the accuracy of laser spot position detection has a serious impact on the tracking performance of the system.
Wugang Zhang +3 more
doaj +1 more source
An on-line adaptive input estimation method that estimates the moving force inputs of the bridge structure is presented in this research. By using the inverse method, input forces acting on bridge structural system can be estimated from the measured ...
Tsung-Chien Chen, Ming-Hui Lee
doaj +1 more source
On the computation of the structured total least squares estimator
A class of structured total least squares problems 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.
Van Huffel, S. +2 more
core +1 more source
Self-Adaptive Moving Least Squares Measurement Based on Digital Image Correlation
Digital image correlation (DIC) is a non-contact measurement technique used to evaluate surface deformation of objects. Typically, pointwise moving least squares (PMLS) fitting is applied to process the noisy data from DIC to obtain an accurate strain ...
Hengsi Zhu, Yurong Guo, Xiao Tan
doaj +1 more source
Least squares fitting the three-parameter inverse Weibull density [PDF]
The inverse Weibull model was developed by Erto [10]. In practice, the unknown parameters of the appropriate inverse Weibull density are not known and must be estimated from a random sample.
Marušić, Miljenko +5 more
core +1 more source
Convergence rate for the moving least-squares learning with dependent sampling
We consider the moving least-squares (MLS) method by the regression learning framework under the assumption that the sampling process satisfies the α-mixing condition.
Qin Guo, Peixin Ye
doaj +1 more source
The Maximum Likelihood PCA (MLPCA) method has been devised in chemometrics as a generalization of the well-known PCA method in order to derive consistent estimators in the presence of errors with known error distribution.
Markovsky, Ivan +2 more
core +1 more source

