least‐squares methodNavier–Stokes equationL2 error estimateThis article studies the least-squares finite element method for the linearized, stationary Navier–Stokes equation based on the stress-velocity-pressure formulation in d dimensions ( d = 2 or 3). The least-squares functional is simply ...
This article studies the least-squares finite element method for the linearized, stationary Navier–Stokes equation based on the stress-velocity-pressure formulation in d dimensions ( d = 2 or 3). The least-squares functional is simply defined as the sum of the squares of the L 2 norm of ...
The equal width (EW) equation is solved by a least-squares technique using linear space–time finite elements. In simulations of the migration of a single solitary wave this algorithm is shown to have good accuracy and conservation. The development of solitary waves from an arbitrary initial cond...
Questions & AnswersStatistics and Probability Find the equation of the least-squares regression line ŷ and the... Question Answered step-by-step Asked by PrivateSeahorse8209 Find the equation of the least-squares regression line ŷ and the linear correla...
Least squares treatment of the Arrhenius equation by a programmable calculator 来自 Semantic Scholar 喜欢 0 阅读量: 30 作者: DLF Detar 摘要: Design features are described for a sophisticated calculator program for Arrhenius equation calculations. The algorithms have been implemented on the Hewlett...
Partial Least Squares as applied to models with latent variables, measured indirectly by indicators, is well-known to be inconsistent. The linear compounds of indicators that PLS substitutes for the latent variables do not obey the equations that the latter satisfy. We propose simple, non-iterative...
A systematic solution approach for the neutron transport equation, based on a least-squares finite-element discretization, is presented. This approach includes the theory for the existence and uniqueness of the analytical as well as of the discrete solution, bounds for the discretization error, and ...
By using the complex representations of quaternion matrices, Moore–Penrose generalized inverse and the Kronecker product of matrices, we derive the expression of the least squares Hermitian solution of the matrix equation ( A X B , C X D ) = ( E , F ) with the least norm over the skew...
This program gives a least squares fit of an equation to data, and obviates the need for non-statistical approximations, with their inherent bias. Equations to be fit are written in the form (numerator)/(denominator), where each ... RH Matthews,JO Alben - 《Journal of Theoretical Biology》...
Partial least squares structural equation modeling (PLS-SEM) has become a popular method for estimating (complex) path models with latent variables and the... DJK Jr - 《Long Range Planning》 被引量: 4008发表: 2013年 An assessment of the use of partial least squares structural equation modeli...