Results 41 to 50 of about 418,071 (190)
MethodsX, 2015 The Laplace equation that results from specifying either the normal or tangential force equilibrium equation in terms of the warping functions or its conjugate can be modeled as a complex variable boundary element method or CVBEM mixed boundary problem ...
Anthony N. Johnson, T.V. Hromadka II
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Empirical Likelihood Confidence Region for Parameters in Semi-linear Errors-in-Variables Models [PDF]
, 2006 This paper proposes a constrained empirical likelihood confidence region for a parameter in the semi-linear errors-in-variables model. The confidence region is constructed by combining the score function corresponding to the squared orthogonal distance
Cui, Hengjian, Kong, Efang
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The problem of the initial approximation for a special nonlinear least squares problem [PDF]
, 1996 In [6] the existence theorem for the best least squares approximation of parameters for the exponential function is proved.
D. Jukić
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A Levinson-Galerkin algorithm for regularized trigonometric approximation
, 1999 Trigonometric polynomials are widely used for the approximation of a smooth function $f$ from a set of nonuniformly spaced samples $\{f(x_j)\}_{j=0}^{N-1}$.
Strohmer, Thomas
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A Christoffel function weighted least squares algorithm for collocation approximations
Mathematics of Computation, 2016 We propose, theoretically investigate, and numerically validate an algorithm for the Monte Carlo solution of least-squares polynomial approximation problems in a collocation frame- work. Our method is motivated by generalized Polynomial Chaos approximation in uncertainty quantification where a polynomial approximation is formed from a combination of ...
Narayan, Akil +2 more
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Using Maximum Likelihood Method to Estimate Parameters of the Linear Regression T Truncated Model
NTU Journal of Pure Sciences, 2022 The estimation of the parameters is one of an important issues in the mathematical statistics. The development of estimation methods requires accurate estimation and finds the best estimator for parameters.
Elham Abduklreem Hussain +2 more
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Least Squares Solutions of the HJB Equation With Neural Network Value-Function Approximators [PDF]
IEEE Transactions on Neural Networks, 2007 In this paper, we present an empirical study of iterative least squares minimization of the Hamilton-Jacobi-Bellman (HJB) residual with a neural network (NN) approximation of the value function. Although the nonlinearities in the optimal control problem and NN approximator preclude theoretical guarantees and raise concerns of numerical instabilities ...
Yuval, Tassa, Tom, Erez
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Civil Engineering Dimension, 2007 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
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Numerical simulation based on FEM/MLS coupling for solid mechanics [PDF]
, 2013 This paper presents the development of Meshless Methods based on the weighted least squares approximation (MLS) [1,3,14] to solve 2D mechanical problems.
Ghozzi, Y., Labergere, C., Villon, P.
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Algerian Journal of Signals and Systems, 2020 This paper presents a study of fractional order systems modeling and identification by recursive least squares (RLS) with forgetting factor estimation technique.
Yamina Ali Larnene +2 more
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