Yuan, "An augmented lagrangian algorithm for large scale multicommodity routing," Comput. Optim. Appl., vol. 27, no. 2, pp. 187-215, 2004.Larsson T, Yuan D (2004) An augmented Lagrangian algorithm for large scale multicommodity routing. Computational Optimization and Applications 27:187–215...
2. Algorithm 2.1 The Primal-Dual Augmented Lagrangian Method For Constrained Optimization 2.2 Primal-Dual Augmented Lagrangian For Constrained Differential Dynamic Programming 1. Contribution 这篇文章主要是作者综合了之前的两篇论文研究以及参考BCL算法整合出了一个完整的扩展拉格朗日DDP算法,同时考虑等式约束和不等...
1) augmented Lagrangian algorithm 增广Lagrangian算法 1. Stochastic granule discontinuous deformation(SGDD) model is presented from mesomechanical view;random distribution model of rockfill granule is built by Monte Carlo method;and nonlinear contact algorithm is presented based on modifiedaugmented Lagrangian...
1.1Augmented Lagrangian function In the literature, there are several different penalty terms used in an augmented Lagrangian (AL) function, such as the classic one [37,38], the quadratic penalty on constraint violation [4], and the exponential penalty [41]. The work [3] gives a general cla...
We present a smooth augmented Lagrangian algorithm for semiinfinite programming (SIP). For this algorithm, we establish a perturbation theorem under mild conditions. As a corollary of the perturbation theorem, we obtain the global convergence result, that is, any accumulation point of the sequence ...
We propose a new first-order augmented Lagrangian algorithm ALCC for solving convex conic programs of the form min{rho(x)+gamma(x): Ax-b in K, x in chi}, where rho and gamma are closed convex functions, and gamma has a Lipschitz continuous gradient, A is mxn real matrix, K is a ...
Dual Augmented Lagrangian (DAL) algorithm for sparse/low-rank reconstruction and learning - ryotat/dal
Paper tables with annotated results for Restricted Linearized Augmented Lagrangian Method for Euler's Elastica Model
Augmented LagrangiansAdaptive precision controlA variant of the augmented Lagrangian algorithm for strictly convex quadratic programing problems with equality constraints is considered. An update rule for the penalty parameter is introduced that is related to an increase of the augmented Lagrangian. The ...
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