搜索结果: 1-13 共查到“数学 Least Squares”相关记录13条 . 查询时间(0.081 秒)
Least-squares covariance matrix adjustment
Symmetric matrices linear equations inequalities the original matrix
2015/8/10
We consider the problem of finding the smallest adjustment to a given symmetric n by n matrix, as measured by the Euclidean or Frobenius norm, so that it satisfies some given linear equalities and ine...
Generalized modified least squares in the univariate linear model
Ordinary least squares Modified least squares Generalized modified least squares Univariate linear model
2011/11/9
In this short paper, we mainly aim to appeal to readers to pay close attention to the criterion of modified least squares and develop it to generalized modified least squares. The closed-form of the g...
Real Homology Cohomology and Harmonic Cochains, Least Squares, and Diagonal Dominance
Real Homology Cohomology Harmonic Cochains Least Squares Diagonal Dominance
2011/3/2
We give new algorithms for computing basis cochains for real-valued homology, cohomology, and
harmonic cochains on manifold simplicial complexes. We discuss only planar, surface, and solid
meshes.
First-Order System Least Squares and the Energetic Variational Approach for Two-Phase Flow
First-Order System Least Squares Energetic Variational Approach Two-Phase Flow
2010/12/14
This paper develops a rst-order system least-squares (FOSLS) formulation for equations of two-phase ow. The main goal is to show that this discretization, along with numerical
techniques such as nes...
Nonnegative-definite covariance structures for which the least squares estimator is the best linear unbiased estimator
Nonnegative-definite covariance structures the least squares estimator
2010/9/15
For the Gauss-Markov model with E(y) = Xβ and Var(y) = V,we establish a new explicit characterization of the general nonnegative-definite covariance structure V such that the best
linear unbiased est...
An unstructured mesh finite volume discretisation method for simulating diffusion in anisotropic media in two-dimensional space is discussed. This technique is considered as an extension of the fully ...
CHEBYSHEV WEIGHTED NORM LEAST-SQUARES SPECTRAL METHODS FOR THE ELLIPTIC PROBLEM
Least-squares methods Spectral method Negative norm
2007/12/12
We develop and analyze a first-order system least-squares spectral
method for the second-order elliptic boundary value problem with
variable coefficients. We first analyze the Chebyshev weighted nor...
A new column recurrence algorithm based on the classical Greville method and
modified Huang update is proposed for computing generalized
inverse matrix and least squares solution. The numerical resu...
This paper gives a class of descent methods for nonlinear least squares solution.
A class of updating formulae is obtained by using generalized inverse matrices.
These formulae generate an approxima...
Recursive Least Squares Estimator with Multiple Exponential Windows in Vector Autoregression
exponential window rectangular window
2007/12/11
In the parameter tracking of time-varying systems, the ordinary method is weighted least squares with the rectangular window or the exponential window. In this paper we propose a new kind of sliding w...
A Note on the Nonparametric Least-squares Test for Checking a Polynomial Relationship
ocal polynomial fitting polynomial regression
2007/12/10
Recently, Gijbels and Rousson suggested a new approach, called nonparametric least-squares test, to check polynomial regression relationships. Although this test procedure is not only simple but also ...
The automatic co-registration of point clouds, representing 3D surfaces, is a relevant problem in 3D modeling. This registration
problem can be defined as a surface matching problem. We treat it as l...
Generalized Inverse Estimator and comparison with Least Squares Estimator
Inverse Estimator Least Squares Estimator
2010/3/4
Trenkler [13] described an iteration estimator. This estimator is defined as follows: for 0 < g < 1/li \max \[ \hat{b}m, g = g \summi=0 (1-g X'X)i X'y , \] where li are eigenvalues of X'X. In this pap...