Suchergebnisse - Iteration of real functions in one variable

Accuracy, Speed and Robustness of Policy Function Iteration von Richter, Alexander W., Throckmorton, Nathaniel A., Walker, Todd B.

“… Policy function iteration methods for solving and analyzing dynamic stochastic general equilibrium models are powerful from a theoretical and computational perspective …”
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Solving Nonlinear Optimization Problems of Real Functions in Complex Variables by Complex-Valued Iterative Methods von Zhang, Songchuan, Xia, Youshen

“… This paper proposes two efficient complex-valued optimization methods for solving constrained nonlinear optimization problems of real functions in complex variables, respectively …”
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Matrices, Moments and Quadrature with Applications von Golub, Gene H, Meurant, Gérard

“… The book bridges different mathematical areas to obtain algorithms to estimate bilinear forms involving two vectors and a function of the matrix …”
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Dynamics in one complex variable von Milnor, John

“… The reader is assumed to be familiar with the rudiments of complex variable theory and of two-dimensional differential geometry, as well as some basic topics from topology …”
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Pohožaev method and nontrivial ground state solutions for a class of quasilinear Schrödinger system: Solutions for a class of quasilinear Schrödinger system von Zhang, Zaiyun, Chen, Jiannan, Chen, Yongqi, Liu, Jie, Yang, Yu

“… = a kj are positive real numbers. Using the Pohožaev manifold approach and Moser iteration technique, we demonstrate the existence of the nontrivial ground state …”
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Dynamics in One Complex Variable. (AM-160): Third Edition. (AM-160) von Milnor, John

“… The reader is assumed to be familiar with the rudiments of complex variable theory and of two-dimensional differential geometry, as well as some basic topics from topology …”
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Iterative sure independence screening EM-Bayesian LASSO algorithm for multi-locus genome-wide association studies von Tamba, Cox Lwaka, Ni, Yuan-Li, Zhang, Yuan-Ming

“… ) in a limited sample with hundreds of individuals, implying a variable selection problem in the high dimensional dataset …”
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Handbook of capture-recapture analysis von Amstrup, Steven C, McDonald, Trent L, Manly, Bryan F. J

“… But many times, representatives of the two professions do not fully understand one another's roles …”
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Thermodynamical formalism and multifractal analysis for meromorphic functions of finite order von Mayer, Volker, Urbański, Mariusz

“… The thermodynamical formalism has been developed by the authors for a very general class of transcendental meromorphic functions …”
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Gauss meets Newton again: How to make Gauss orbit determination from two position vectors more efficient and robust with Newton–Raphson iterations von Danchick, Roy

“… ( x-iteration) is formed by substituting (ii) into (i). In either case a further reduction of dimension from two to one is obtained …”
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Variable quasi-Bregman monotone sequences von Van Nguyen, Quang

“… -Fejér monotone sequences and that of Bregman monotone sequences. The results are applied to analyze the asymptotic behavior of proximal iterations based on variable …”
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Computation of eigenvalues in proportionally damped viscoelastic structures based on the fixed-point iteration von Lázaro, Mario, Pérez-Aparicio, José L., Epstein, Marcelo

“… The central idea is the construction of two complex-valued functions of a complex variable, whose fixed points are precisely the eigenvalues …”
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Spectral-Spatial Classification with Naive Bayes and Adaptive FFT for Improved Classification Accuracy of Hyperspectral Images von Singh, Arvind Kumar, Sunkara, Renuvenkataswamy, Kadambi, Govind R., Palade, Vasile

“… ) and a probabilistic closeness function. These probabilities are then combined to generate a precise spectral-spatial classification map …”
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Sparse Estimation of High-Dimensional Inverse Covariance Matrices with Explicit Eigenvalue Constraints von Xiao, Yun-Hai, Li, Pei-Li, Lu, Sha

“… Under the normality assumption, the zero components in the inverse covariance matrices represent the conditional independence between pairs of variables given all the other variables …”
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Variable sample-size optimistic mirror descent algorithm for stochastic mixed variational inequalities von Yang, Zhen-Ping, Zhao, Yong, Lin, Gui-Hua

“… Different from those conventional variable sample-size extragradient algorithms to evaluate the expected mapping twice at each iteration, our algorithm requires only one evaluation of the expected …”
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Proximal Iteration for Nonlinear Adaptive Lasso von Wycoff, Nathan, Singh, Lisa O, Arab, Ali, Donato, Katharine M

“… Augmenting a smooth cost function with an \(\ell_1\) penalty allows analysts to efficiently conduct estimation and variable selection simultaneously in sophisticated models and can be efficiently implemented using proximal gradient methods …”
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Research on Stability of Removal Function in Figuring Process of Mandrel of X-Ray-Focusing Mirror with Variable Curvature von Xue, Jiadai, Li, Yuhao, Gao, Mingyang, Gu, Dongyun, Wu, Yanlin, Liu, Yanwen, Fan, Yuxin, Zheng, Peng, Chen, Wentao, Chen, Zhigao, Qiao, Zheng, Jin, Yuan, Ding, Fei, Wu, Yangong, Wang, Bo

“… The Wolter-I focusing mirror with variable-curvature surfaces demands high precision. However, there has been limited investigation into the removal mechanisms …”
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On control intervals of chaos with Fréchet derivative of certain iterations as discrete dynamical system in Banach spaces von Sekman, Derya, Karakaya, Vatan

“… Dynamical systems are one of the interesting concepts where iteration algorithms and chaos can be considered together …”
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A nonmonotone accelerated proximal gradient method with variable stepsize strategy for nonsmooth and nonconvex minimization problems von Liu, Hongwei, Wang, Ting, Liu, Zexian

“… In this paper, we consider the problem that minimizing the sum of a nonsmooth function with a smooth one in the nonconvex setting, which arising in many contemporary applications such as machine …”
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Estimation and testing of expectile regression with efficient subsampling for massive data von Chen, Baolin, Song, Shanshan, Zhou, Yong

“… This paper offers an alternative to the traditional asymmetric least square (ALS) estimator via smooth approximation of loss function …”
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