Results 41 to 50 of about 2,699 (199)
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT This study investigates how internal governance design supports credible ESG performance by distinguishing between Incentive and Oversight Architectures. Using 13,993 firm‐year observations of US nonfinancial firms from 2018 to 2024, we estimate fixed effects and two‐step system GMM models.
Beyza Gürel +2 more
wiley +1 more source
Saddle Points of Partial Augmented Lagrangian Functions
Mathematical and Computational ApplicationsIn this paper, we study a class of optimization problems with separable constraint structures, characterized by a combination of convex and nonconvex constraints.
Longfei Huang +3 more
doaj +1 more source
Combining Deep Image Prior and Second-Order Generalized Total Variance for Image Denoising
IEEE Access, 2023 Deep image prior is a classical unsupervised deep learning method that does not require plenty of training samples, because in some practical applications, like medical imaging, collecting tons of training samples is not always viable.
Jianlou Xu +3 more
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Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT Rocking podium isolation systems have gained significant research interest as a method of limiting seismic demands on superstructures and eliminating residual post‐earthquake drifts through self‐centring behaviour. However, while numerous models of varying complexity, including analytical, phenomenological, and physical formulations, have been
Marawan Zaki +2 more
wiley +1 more source
An Augmented Lagrangian‐Based Approach to the Oseen Problem [PDF]
SIAM Journal on Scientific Computing, 2006 We describe an effective solver for the discrete Oseen problem based on an augmented Lagrangian formulation of the corresponding saddle point system. The proposed method is a block triangular preconditioner used with a Krylov subspace iteration like BiCGStab.
Michele Benzi, Maxim A. Olshanskii
openaire +1 more source
Selecciones MatemáticasThe purpose of the present paper is to improve the global convergence results established so far concerning the Augmented Lagrangian Algorithm with exponential penalty function for solving nonlinear programming problems with equality and inequality ...
Frank Navarro Rojas +1 more
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Threshold Asymmetric Conditional Autoregressive Range (TACARR) Model
Journal of Forecasting, EarlyView.ABSTRACT This paper introduces a Threshold Asymmetric Conditional Autoregressive Range (TACARR) model for analyzing the daily price ranges of financial assets. The proposed formulation assumes that the conditional expected range switches between two regimes, representing upward and downward market states, with the disturbance distribution also allowed ...
Isuru Ratnayake, V. A. Samaranayake
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New Convergence Properties of the Primal Augmented Lagrangian Method
Abstract and Applied Analysis, 2011 New convergence properties of the proximal augmented Lagrangian method is established for continuous nonconvex optimization problem with both equality and inequality constrains.
Jinchuan Zhou +3 more
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A fast constrained image segmentation algorithm
Results in Applied Mathematics, 2020 Normalized cut or Ncut has been one of the most widely used models for image processing. A constraint can also be included in the framework of Ncut to represent a priori information for an effective image segmentation.
Iván Ojeda-Ruiz, Young-Ju Lee
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Journal of Magnetic Resonance Imaging, EarlyView.ABSTRACT Background The performance of 5D imaging in CHD has been previously demonstrated using ferumoxytol rather than gadolinium. Purpose To evaluate the performance of gadolinium enhanced 5D MRI relative to 2D and 3D MRI in CHD patients. Study Type Retrospective.
Christopher W. Roy +13 more
wiley +1 more source