Results 31 to 40 of about 2,487 (204)
A Stochastic Composite Augmented Lagrangian Method for Reinforcement Learning
29 pages, 6 ...
Yongfeng Li +3 more
openaire +2 more sources
An augmented Lagrangian method for solving total variation (TV)-based image registration model
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
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
Given that PEEK chest wall implants induce shear force at the soft tissue‐implant interface due to respiratory motion in the early in vivo post‐implantation stage. We confirmed that this mechanical stimulus triggers the PIEZO1/ITGB1/YAP1 signalling axis in L929 and the STAT6/p‐STAT6 pathway in RAW264.7, which in turn mediates adhesion and migration of ...
Rou Huang +14 more
wiley +1 more source
The Augmented Lagrangian Method as a Framework for Stabilised Methods in Computational Mechanics
AbstractIn this paper we will present a review of recent advances in the application of the augmented Lagrange multiplier method as a general approach for generating multiplier-free stabilised methods. The augmented Lagrangian method consists of a standard Lagrange multiplier method augmented by a penalty term, penalising the constraint equations, and ...
Erik Burman +2 more
openaire +4 more sources
Passive resistive memory arrays promise efficient in‐memory computing but suffer from sneak paths and programming variability. Here, highly uniform 32 × 32 passive RRAM crossbars are programmed with multilevel precision below 3% error and 99.5% yield.
S. Ricci +6 more
wiley +1 more source
Insight into Primal Augmented Lagrangian Multilplier Method
We provide a simplified form of Primal Augmented Lagrange Multiplier algorithm. We intend to fill the gap in the steps involved in the mathematical derivations of the algorithm so that an insight into the algorithm is made. The experiment is focused to show the reconstruction done using this algorithm.
B. Premjith +4 more
openaire +2 more sources
Robust Representation Learning for Clean Feature Discovery in Incomplete Multi‐View Clustering
Robust feature discovery in incomplete multi‐view clustering is achieved by coupling RPCA‐based clean representation recovery with neural‐network‐assisted graph learning. The resulting RIMVC framework constructs cleaner and more discriminative graph‐structured representations from incomplete and noisy multi‐view data, improving clustering robustness ...
Ping Hu +4 more
wiley +1 more source
Augmented Lagrangian method for coupled-cluster
We propose to improve the convergence properties of the single-reference coupled cluster (CC) method through an augmented Lagrangian formalism. The conventional CC method changes a linear high-dimensional eigenvalue problem with exponential size into a problem of determining the roots of a nonlinear system of equations that has a manageable size ...
Fabian M. Faulstich +2 more
openaire +2 more sources
A new parallel splitting augmented Lagrangian-based method for a Stackelberg game
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

