Results 21 to 30 of about 17,902,926 (294)
On a Newton‐Type Method for Differential‐Algebraic Equations [PDF]
Journal of Applied Mathematics, 2012 This paper deals with the approximation of systems of differential‐algebraic equations based on a certain error functional naturally associated with the system. In seeking to minimize the error, by using standard descent schemes, the procedure can never get stuck in local minima but will always and steadily decrease the error until getting to the ...
Sergio Amat +2 more
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Newton-type methods for simultaneous matrix diagonalization
Calcolo, 2022 This paper proposes a Newton-type method to solve numerically the eigenproblem of several diagonalizable matrices, which pairwise commute. A classical result states that these matrices are simultaneously diagonalizable. From a suitable system of equations associated to this problem, we construct a sequence that converges quadratically towards the ...
Rima Khouja +2 more
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Newton-type Methods for Minimax Optimization
CoRR, 2020 Differential games, in particular two-player sequential zero-sum games (a.k.a. minimax optimization), have been an important modeling tool in applied science and received renewed interest in machine learning due to many recent applications, such as adversarial training, generative models and reinforcement learning.
Guojun Zhang +3 more
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DINO: Distributed Newton-Type Optimization Method [PDF]
, 2020 We present a novel communication-efficient Newton-type algorithm for finite-sum optimization over a distributed computing environment. Our method, named DINO, overcomes both theoretical and practical shortcomings of similar existing methods. Under minimal assumptions, we guarantee global sub-linear convergence of DINO to a first-order stationary point ...
Crane, Rixon, Roosta, Fred
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Pseudo-loadflow formulation as a starting process for the Newton Raphson [PDF]
, 2010 This paper introduces new models which approximate the AC loadflow problem, but are able to converge (using the Newton Raphson algorithm) from a wider range of starting points.
Irving, MR
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Learning regularized Gauss-Newton methods
, 2022 We consider variational networks for a class of nonlinear-ill-posed least squares inverse problems. These problems are addressed by regularized Gauss-Newton type optimization algorithms where the regularization is learned by a neural network.
Francesco Colibazzi +3 more
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Evaluation of estimation methods for parameters of the probability functions in tree diameter distribution modeling [PDF]
Environmental Resources Research, 2020 One of the most commonly used statistical models for characterizing the variations of tree diameter at breast height is Weibull distribution. The usual approach for estimating parameters of a statistical model is the maximum likelihood estimation ...
M. Teimouri +2 more
doaj +1 more source
Strongly interacting bumps for the schrodinger-newton equations [PDF]
, 2009 We study concentrated bound states of the Schrodinger-Newton equations Moroz, Penrose and Tod proved the existence and uniqueness of ground states.
Winter, M, Wei, J
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On Fractional Newton‐Type Method for Nonlinear Problems
Journal of Mathematics, 2022 The current manuscript is concerned with the development of the Newton–Raphson method, playing a significant role in mathematics and various other disciplines such as optimization, by using fractional derivatives and fractional Taylor series expansion.
Mine Aylin Bayrak +2 more
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Various Newton-type iterative methods for solving nonlinear equations [PDF]
, 2013 The aim of the present paper is to introduce and investigate new ninth and seventh order convergent Newton-type iterative methods for solving nonlinear equations.
Singh, Akhilesh Kumar +2 more
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