Chen, A damped Gauss-Newton method for the second-order cone complementarity problem, Applied Mathematics and Optimization, vol.59, pp. 293-318, 2009.S. Pan and J.-S. Chen. A damped Gauss-Newton method for the second-order cone comple- mentarity problem. Appl. Math. Opt., 59:293-318...
The damped Gauss-Newton (dGN) algorithm for CANDECOMP/PARAFAC (CP) decomposition can handle the challenges of collinearity of factors and different magnitudes of factors; nevertheless, for factorization of an $N$-D tensor of size $I_1\times I_N$ with rank $R$, the algorithm is computationally...
Fit(cf, InputWorkspace=data_ws1, Minimizer='Damped GaussNewton', MaxIterations=100, Output='fit') crashes with the following traceback: Fit-[Notice] Fit started *** UNHANDLED EXCEPTION *** what(): GSLVector index = 26 is out of range = 26 in GSLVector.get() Backtrace: /opt/Mantid...
The Levenberg–Marquardt (LM) Algorithm is used to solve nonlinearleast squares problems. Thiscurve-fitting methodis a combination of two other methods: the gradient descent and theGauss-Newton. Both the Gradient Descent and Gauss-Newton methods areiterative algorithms,which means they use a series ...
Newton methodlocal error boundquadratic convergenceALGORITHMSYSTEMSPOINTWe consider the weighted linear complementarity problem (denoted by wLCP). Many numerical algorithms have been proposed for solving the monotone wLCP. In this paper, we propose a damped Gauss鈥揘ewton method to solve the non-...
damped Gauss-Newton methodglobal convergencenumerical resultsThe extended linear complementarity problem (denoted by XLCP), of which the linear and horizontal linear complementarity problems are two special cases, can be reformulated as the solution of a nonsmooth system of equations. By the ...
Changfeng Ma, Lihua Jiang and Desheng Wang, The convergence of a smoothing damped Gauss- Newton method for nonlinear complementarity problem, Nonlinear Analysis: Real World Appli- cations, 10(2009), 2072-2087.Ma C F,Jiang L H.The convergence of a smoothing damped Gauss-Newton method for ...
Damped gauss-newton algorithm for nonnegative tucker decomposition. In Statistical Signal Processing Workshop (SSP), 2011 IEEE, pages 665-668. IEEE, 2011.Phan, A.H., Tichavsky, P., Cichocki, A.: Damped Gauss-Newton Algorithm for Nonnegative Tucker Decomposition, pp. 665–668 (2011)...
The damped Gauss--Newton (dGN) algorithm for CANDECOMP/PARAFAC (CP) decomposition can handle the challenges of collinearity of factors and different magnitudes of factors; nevertheless, for factorization of an order-N tensor of size I1 x ... x IN with rank R, the algorithm is computationally...
damped Gauss-Newton algorithmIn this paper, a novel implementation of the damped Gauss-Newton algorithm (also known as Levenberg-Marquart) for the CANDECOMP-PARAFAC (CP) tensor decomposition is proposed. The method is based on a fast inversion of the approximate Hessian for the problem. It is ...