Results 21 to 30 of about 24,488,282 (297)
High-performance numerical algorithms and software for structured total least squares [PDF]
, 2005 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
Constructive Analysis for Least Squares Regression with Generalized K-Norm Regularization
Abstract and Applied Analysis, 2014 We introduce a constructive approach for the least squares algorithms with generalized K-norm regularization. Different from the previous studies, a stepping-stone function is constructed with some adjustable parameters in error decomposition.
Cheng Wang, Weilin Nie
doaj +1 more source
Error analysis of a least squares pseudo-derivative moving least squares method [PDF]
Proyecciones (Antofagasta), 2017 Meshfree methods offer the potential to relieve the scientist from the time consuming grid generation process especially in cases where localized mesh refinement is desired. Moving least squares (MLS) methods are considered such a meshfree technique.
Clack, Jhules +2 more
openaire +3 more sources
Mathematics, 2019 We study an iterative differential-difference method for solving nonlinear least squares problems, which uses, instead of the Jacobian, the sum of derivative of differentiable parts of operator and divided difference of nondifferentiable parts. Moreover,
Ioannis Argyros +2 more
doaj +1 more source
Orthogonal least squares regression with tunable kernels [PDF]
, 2005 A novel technique is proposed to construct sparse regression models based on the orthogonal least squares method with tunable kernels. The proposed technique tunes the centre vector and diagonal covariance matrix of individual regressor by incrementally ...
Wang, X.X., Chen, S., Brown, D.J.
core +2 more sources
Analysis of MIMO Receiver Using Generalized Least Squares Method in Colored Environments
Journal of Computer Networks and Communications, 2014 The classical detection techniques for multiple-input multiple-output (MIMO) systems are usually designed with the assumption that the additive complex Gaussian noise is uncorrelated. However, for closely spaced antennas, the additive noise is correlated
Mohamed Lassaad Ammari, Paul Fortier
doaj +1 more source
Operational Transfer Path Analysis with Total Least Squares Method
水下无人系统学报Operational transfer path analysis(OTPA) utilizes response data under different working conditions to decompose and predict vibration noise and is therefore widely used in various engineering fields.
Juntao GUI +3 more
doaj +1 more source
IEEE Access, 2020 We propose new appearance-based face recognition methods based on global-local structure-preserving partial least squares discriminant analysis. Two variants of the method are described in this article: the neighbourhood-preserving partial least squares ...
Muhammad Aminu, Noor Atinah Ahmad
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk +10 more
wiley +1 more source
Performance Analysis of the Least-Squares Estimator in Astrometry [PDF]
Publications of the Astronomical Society of the Pacific, 2015 We characterize the performance of the widely-used least-squares estimator in astrometry in terms of a comparison with the Cramer-Rao lower variance bound. In this inference context the performance of the least-squares estimator does not offer a closed-form expression, but a new result is presented (Theorem 1) where both the bias and the mean-square ...
Lobos, Rodrigo A. +3 more
openaire +7 more sources