Results 131 to 140 of about 245,277 (249)
This paper proposes a Trust-Region Based Augmented Method (TRALM) to solve a combined Environmental and Economic Power Dispatch (EEPD) problem. The EEPD problem is a multi-objective problem with competing and non-commensurable objectives.
H. Mohammadian Bishe +2 more
doaj
Multiplier-continuation algorthms for constrained optimization [PDF]
Several path following algorithms based on the combination of three smooth penalty functions, the quadratic penalty for equality constraints and the quadratic loss and log barrier for inequality constraints, their modern counterparts, augmented ...
Bing, Yang +2 more
core +1 more source
In this paper, we propose a stochastic primal-dual adaptive method based on an inexact augmented Lagrangian function to solve non-convex programs, referred to as the SPDAM.
Rulei Qi, Dan Xue, Yujia Zhai
doaj +1 more source
Modified hybrid decomposition of the augmented Lagrangian method with larger step size for three-block separable convex programming. [PDF]
Sun M, Wang Y.
europepmc +1 more source
Self-adaptive alternating direction method of multiplier for a fourth order variational inequality
We propose an alternating direction method of multiplier for approximation solution of the unilateral obstacle problem with the biharmonic operator.
Jia Wu, Shougui Zhang
doaj +1 more source
Preconditioning ideas for the Augmented Lagrangian method
A preconditioning strategy for the Powell-Hestenes-Rockafellar Augmented Lagrangian method (ALM) is presented. The scheme exploits the structure of the Augmented Lagrangian Hessian. It is a modular preconditioner consisting of two blocks. The first one is associated with the Lagrangian of the objective while the second administers the Jacobian of the ...
openaire +2 more sources
An augmented Lagrangian method for sliding contact of soft tissue. [PDF]
Guo H +3 more
europepmc +1 more source
An efficient augmented Lagrangian method with applications to total variation minimization
Chengbo Li +3 more
semanticscholar +1 more source
The Alternating Direction Method of Multipliers for Sufficient Dimension Reduction
The minimum average variance estimation (MAVE) method has proven to be an effective approach to sufficient dimension reduction. In this study, we apply the computationally efficient optimization algorithm named alternating direction method of multipliers
Sheng Ma, Qin Jiang, Zaiqiang Ku
doaj +1 more source
Fast X-ray CT image reconstruction using a linearized augmented Lagrangian method with ordered subsets. [PDF]
Nien H, Fessler JA.
europepmc +1 more source

