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Global convergence of multidirectional algorithms for . . .

by J. A. Gomez, M. Romero , 1998
"... ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
Abstract not found

A new, globally convergent

by Hiroyuki Sato, Toshihiro Iwai , 2013
"... ar ..."
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Abstract not found

GLOBALLY CONVERGENT INEXACT NEWTON METHODS*

by Stanley C. Eisenstatt, Homer, F. Walkei
"... Abstract. Inexact Newton methods for finding a zero of F 1 1 are variations of Newton’s method in which each step only approximately satisfies the linear Newton equation but still reduces the norm of the local linear model of F. Here, inexact Newton methods are formulated that incorporate features d ..."
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designed to improve convergence from arbitrary starting points. For each method, a basic global convergence result is established to the effect that, under reasonable assump-tions, if a sequence of iterates has a limit point at which F is invertible, then that limit point is a solution and the sequence

Globally Convergent Methods for Nonlinear Equations

by M. Ferris, S. Lucidi - Journal of Optimization Theory and Applications , 1991
"... We are concerned with enlarging the domain of convergence for solution methods of nonlinear equations. To this end, we produce a general framework in which to prove global convergence. Our framework relies on several notions: the use of a merit function, a generalization of a forcing function and co ..."
Abstract - Cited by 9 (3 self) - Add to MetaCart
We are concerned with enlarging the domain of convergence for solution methods of nonlinear equations. To this end, we produce a general framework in which to prove global convergence. Our framework relies on several notions: the use of a merit function, a generalization of a forcing function

A globally convergent parallel algorithm for zeros of polynomial systems

by Alexander P. Morgan, Layne T. Watson - Dept. of Computer , 1986
"... hypercube, globally convergent homotopy algorithm. ..."
Abstract - Cited by 5 (1 self) - Add to MetaCart
hypercube, globally convergent homotopy algorithm.

Fast and Globally Convergent Pose Estimation From Video Images

by Chien-ping Lu, Gregory D. Hager, Eric Mjolsness , 1998
"... Determining the rigid transformation relating 2D images to known 3D geometry is a classical problem in photogrammetry and computer vision. Heretofore, the best methods for solving the problem have relied on iterative optimization methods which cannot be proven to converge and/or which do not effecti ..."
Abstract - Cited by 151 (6 self) - Add to MetaCart
directly computes orthogonal rotation matrices and which is globally convergent. Experimentally, we show that the method is computationally efficient, that it is no less accurate than the best currently employed optimization methods, and that it outperforms all tested methods in robustness to outliers

On the Global Convergence of Stochastic Fictitious Play

by Josef Hofbauer, William H. Sandholm , 2001
"... We establish global convergence results for stochastic fictitious play for four classes of games: games with an interior ESS, zero sum games, potential games, and supermodular games. We do so by appealing to techniques from stochastic approximation theory, which relate the limit behavior of a stoch ..."
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We establish global convergence results for stochastic fictitious play for four classes of games: games with an interior ESS, zero sum games, potential games, and supermodular games. We do so by appealing to techniques from stochastic approximation theory, which relate the limit behavior of a

Global convergence in the vulnerability of forests to drought.

by Brendan Choat , Steven Jansen , Tim J Brodribb , Hervé Cochard , Sylvain Delzon , Radika Bhaskar , Sandra J Bucci , Taylor S Feild , Sean M Gleason , Uwe G Hacke , Anna L Jacobsen , Frederic Lens , Hafiz Maherali , Jordi Martínez-Vilalta , Stefan Mayr , Maurizio Mencuccini , Patrick J Mitchell , Andrea Nardini , Jarmila Pittermann , R Brandon Pratt , John S Sperry , Mark Westoby , Ian J Wright - Nature , 2012
"... ..."
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Globally convergent ordered subsets algorithms: Application to tomography

by Sangtae Ahn , Jeffrey A Fessler - in Proc. IEEE Nuc. Sci. Symp. Med. Im. Conf , 2001
"... Abstract-We present new algorithms for penalized-likelihood image reconstruction: modified BSREM (block sequential regularized expectation maximization) and relaxed OS-SPS (ordered subsets separable paraboloidal surrogates). Both of them are globally convergent to the unique solution, easily incorp ..."
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Abstract-We present new algorithms for penalized-likelihood image reconstruction: modified BSREM (block sequential regularized expectation maximization) and relaxed OS-SPS (ordered subsets separable paraboloidal surrogates). Both of them are globally convergent to the unique solution, easily

Synthesis of global convergence and adaptivity for a hyperbolic coefficient

by Larisa Beilina, Michael V. Klibanov , 2009
"... A globally convergent numerical method for a multidimensional Coefficient Inverse Problem for a hyperbolic equation is presented. The global convergence is analytically established. It is shown that this technique provides a good first guess for the adaptivity method, which entails to a synthesis of ..."
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A globally convergent numerical method for a multidimensional Coefficient Inverse Problem for a hyperbolic equation is presented. The global convergence is analytically established. It is shown that this technique provides a good first guess for the adaptivity method, which entails to a synthesis
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