Results 41 to 50 of about 41,026 (224)
Augmented Lagrangian Method for Constrained Nuclear Density Functional Theory [PDF]
, 2010 The augmented Lagrangiam method (ALM), widely used in quantum chemistry constrained optimization problems, is applied in the context of the nuclear Density Functional Theory (DFT) in the self-consistent constrained Skyrme Hartree-Fock-Bogoliubov (CHFB ...
A. Baran +34 more
core +2 more sources
Constrained composite optimization and augmented Lagrangian methods
Mathematical Programming, 2023 AbstractWe investigate finite-dimensional constrained structured optimization problems, featuring composite objective functions and set-membership constraints. Offering an expressive yet simple language, this problem class provides a modeling framework for a variety of applications.
Alberto De Marchi +3 more
openaire +2 more sources
An augmented Lagrangian method for solving total variation (TV)-based image registration model
Journal of Algorithms & Computational Technology, 2020 Variational methods for image registration basically involve a regularizer to ensure that the resulting well-posed problem admits a solution. Different choices of regularizers lead to different deformations.
Noppadol Chumchob, Ke Chen
doaj +1 more source
Equilibrium path and stability analysis of rigid origami using energy minimization of frame model
Frontiers in Built Environment, 2022 This paper presents a method of equilibrium path analysis and stability analysis of an equilibrium state for a rigid origami, which consists of rigid flat faces connected by straight crease lines (folding lines) and can be folded and unfolded without ...
Kentaro Hayakawa, Makoto Ohsaki
doaj +1 more source
On barrier and modified barrier multigrid methods for 3d topology optimization [PDF]
, 2019 One of the challenges encountered in optimization of mechanical structures, in particular in what is known as topology optimization, is the size of the problems, which can easily involve millions of variables.
Brune, Alexander, Kocvara, Michal
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Challenges and enablers in fluidization technology
AIChE Journal, EarlyView.Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
wiley +1 more source
Accounting for animal health in efficiency analysis: An application to Swedish dairy farms
American Journal of Agricultural Economics, EarlyView.Abstract Poor animal health is a central concern in modern livestock production. Despite the necessity to incorporate animal health in efficiency analysis, the theoretical and empirical developments are limited on this subject. This article appropriately characterizes the axiomatic properties of animal health within a production framework.
Frederic Ang +3 more
wiley +1 more source
Quantizing non-Lagrangian gauge theories: an augmentation method [PDF]
, 2006 We discuss a recently proposed method of quantizing general non-Lagrangian gauge theories. The method can be implemented in many different ways, in particular, it can employ a conversion procedure that turns an original non-Lagrangian field theory in $d$
A.S. Cattaneo +9 more
core +2 more sources
A Hybrid Semi‐Inverse Variational and Machine Learning Approach for the Schrödinger Equation
Advanced Physics Research, EarlyView.A hybrid semi‐inverse variational and machine‐learning framework is presented for solving the Schrödinger equation with complex quantum potentials. Physics‐based variational solutions generate high‐quality training data, enabling Random Forest and Neural Network models to deliver near‐perfect energy predictions.
Khalid Reggab +5 more
wiley +1 more source
A new parallel splitting augmented Lagrangian-based method for a Stackelberg game
Journal of Inequalities and Applications, 2016 This paper addresses a novel solution scheme for a special class of variational inequality problems which can be applied to model a Stackelberg game with one leader and three or more followers.
Xihong Yan, Ruiping Wen
doaj +1 more source