Numerical Linear Algebra with ApplicationsBellavia S,Gondzio J,Morini B.Computational experience with numerical methods for nonnegative least-squares problems,Report 09/04,Dipartimento di Energetica S.Stecco,Universit◊di Firenze,(submitted for publication)....
We consider Newton-like line search descent methods for solving non-linear least-squares problems. The basis of our approach is to choose a method, or parameters within a method, by minimizing a variational measure which estimates the error in an inverse Hessian approximation. In one approach we...
1) non linear least square model fit 非线性最小二乘法模型嵌合1. Methods Velocity time ( v t ) equation of each mini tablet was deduced by non linear least square model fit. 方法 采用非线性最小二乘法模型嵌合通用程序求出各小片释药的速率方程 ,比较 4种方案的组合释药理论速率 时间曲线与...
Continuous (integral) and discrete (point-matching) least-squares methods are presented for linear and non-linear problems in boundary-value, eigenvalue, a... ED Eason - 《International Journal for Numerical Methods in Engineering》 被引量: 233发表: 1976年 A Comparison of Block Pivoting and Int...
Blind Gain and Phase Calibration via Sparse Spectral Methods (2017) Blind Deconvolution by a Steepest Descent Algorithm on a Quotient Manifold (2017) Regularized Gradient Descent: A Nonconvex Recipe for Fast Joint Blind Deconvolution and Demixing (2017) Self-Calibration via Linear Least Squares (2016...
Least-squares finite element processes in h, p, k mathematical and computational framework for a non-linear conservation law doi:10.1002/fld.1695International Journal for Numerical Methods in FluidsSurana, K. S.Allu, S.Reddy, J. N.Tenpas, P. W....
The non-linear least-squares estimator is inherently biased, even with unbiased range measurements, since the expectation of the higher order terms in the final estimator is non-zero. This bias is generally negligible for GNSSs, with ... Junlin Yan 被引量: 12发表: 2010年 Localization and Der...
Using least squares methods consistent averages for stress and strain of a nonhomogeneous granular assembly are derived. The expression for the average of the strain increment serves as a constraint in a functional approach to solving the displacements and spins of particles of a granular assembly ...
[16]O. A. Arqub, “Numerical solutions for the Robin time-fractional partial differential equations of heat and fluid flows based on the reproducing kernel algorithm,”Int. J. Numer. Methods Heat Fluid Flow, vol. 28, pp. 828–856, 2018.https://doi.org/10.1108/hff-07-2016-0278.Search...
Non-linear least squares methods were applied to estimate parameters of the non-linear model. We assumed the nonlinear model was Y = f (X, β). To solve the estimated value of parameter β, the least squares equation is min \({Q}({\beta })={\sum }_{i=1}^{n}{({\rm{Y}...