We introduce a tactical resource allocation model for large aerospace engine system manufacturer aimed at long-term production planning. Our identifies the routings product takes through factory, and which machines should be qualified balanced loading, to reduce lead times. prove some important mathematical properties of that are used develop heuristic providing good initial feasible solution. ...

Chang H-W, Wu V-C, Huang C-Y, Huang H-Y, Chen Y-M, Chu T-S, Wu K-D, Hsieh B-S. D4 dopamine receptor enhances angiotensin II-stimulated aldosterone secretion through PKC-ε and calcium signaling. Am J Physiol Endocrinol Metab 294: E622–E629, 2008. First published January 2, 2008; doi:10.1152/ajpendo.00657.2007.—Aldosterone secretion is subjected to dopaminergic regulation. Our previous study show...

Abstract. The augmented Lagrangian method is an attractive approach for solving linearly constrained convex optimization problems (CCOP). The method is iterative and the task in each iteration is to solve a (convex optimization) sub-problem whose dimension is equal to the number of variables. For large problems, solving such a sub-problem can be still very expensive. In this paper, we propose a...

In order to select the location of fire stations more scientifically and improve efficiency emergency management in chemical industry parks (CIPs), an improved risk calculation model for hazardous chemicals has been proposed by taking domino effect identification major installations into account. analysis effect, Monte Carlo simulation was used. Then, a established with optimization objectives ...

We propose explicit K-symplectic and symplectic-like methods for the charged particle system in a general strong magnetic field. The are also symmetric. can be expressed both canonical non-canonical Hamiltonian system. If three components of field integrated closed forms, we construct system; otherwise, constructed by extending original phase space obtaining augmented separable Hamiltonian, the...

Based on the classic augmented Lagrangian multiplier method, we propose, analyze and test an algorithm for solving a class of equality-constrained nonsmooth optimization problems (chiefly but not necessarily convex programs) with a particular structure. The algorithm effectively combines an alternating direction technique with a nonmonotone line search to minimize the augmented Lagrangian funct...

The Augmented Lagragian Method (ALM) and Alternating Direction Method of Multiplier (ADMM) have been powerful optimization methods for general convex programming subject to linear constraint. We consider the convex problem whose objective consists of a smooth part and a nonsmooth but simple part. We propose the Fast Proximal Augmented Lagragian Method (Fast PALM) which achieves the convergence ...

We consider a one-dimensional variational problem arising in connection with model for cholesteric liquid crystals. The principal feature of our study is the assumption that twist deformation nematic director incurs much higher energy penalty than other modes deformation. appropriate ratio elastic constants then gives small parameter ε entering an Allen-Cahn-type functional augmented by term. b...

EQUALITY CONSTRAINED OPTIMIZATION Masao Fukushima Kyoto University Hisashi Mine Kansai University Eiki Yamakawa Kyoto University (Received November 12, 1984: Revised June 12, 1985) This paper is concerned with a differentiable exact penalty function derived by modifying the Wolfe dual of an equality constrained problem. It may be considered that this penalty function belongs to a class of gener...