Results 71 to 80 of about 46,156 (218)

The Role of Energy Transition, Digitalization, and Green Goods in Material Footprints and Sustainability

open access: yesSustainable Development, EarlyView.
ABSTRACT This study investigates how green and non‐green goods, energy transition, digitalization, economic growth, and population affect the material footprint of G‐7 countries from 1990 to 2023. Using an extended STIRPAT framework, we show that green and non‐green goods increase material footprint, demonstrating the resource intensity associated with
Sohidul Islam   +5 more
wiley   +1 more source

Edge detection based on augmented lagrangian method for lowquality medical images

open access: yesHo Chi Minh City Open University Journal of Science - Engineering and Technology, 2018
Medical images are useful for the treatment process. They contain a lot of information on displaying abnormalities in your body. The contour of medical images is a matter of interest.
Vo Thi Hong Tuyet
doaj   +1 more source

A note on embeddings for the Augmented Lagrange Method [PDF]

open access: yesYugoslav Journal of Operations Research, 2010
Nonlinear programs (P) can be solved by embedding problem P into one parametric problem P(t), where P(1) and P are equivalent and P(0), has an evident solution.
Bouza-Allende Gemayqzel, Guddat Jurgen
doaj   +1 more source

Super-Linear Convergence of Dual Augmented-Lagrangian Algorithm for Sparsity Regularized Estimation [PDF]

open access: yes, 2011
We analyze the convergence behaviour of a recently proposed algorithm for regularized estimation called Dual Augmented Lagrangian (DAL). Our analysis is based on a new interpretation of DAL as a proximal minimization algorithm.
Masashi Sugiyama   +7 more
core   +1 more source

Managing the SDG‐Aligned Energy Transition in OECD Countries: How Do Economic Growth, Income Inequality, and Environmental Protection Expenditures Impact Energy Transition?

open access: yesSustainable Development, EarlyView.
ABSTRACT In recent years, transition to renewable energy has emerged as a vital strategy for achieving sustainable development and reducing environmental degradation. Only when backed by a solid institutional and macroeconomic context can economic growth serve as a stimulus for the development of renewable energy.
Azad Erdem   +3 more
wiley   +1 more source

Generalized Quadratic Augmented Lagrangian Methods with Nonmonotone Penalty Parameters

open access: yesJournal of Applied Mathematics, 2012
For nonconvex optimization problem with both equality and inequality constraints, we introduce a new augmented Lagrangian function and propose the corresponding multiplier algorithm. New iterative strategy on penalty parameter is presented.
Xunzhi Zhu   +3 more
doaj   +1 more source

Augmented Lagrangian Approach to the Newsvendor Model with Component Commonality

open access: yesMathematical and Computational Applications, 2019
Component commonality is a well-known approach in manufacturing, where the same components are used for multiple products. It has been implemented by many established companies such as Airbus, Kodak, Toyota, etc.
Abdelouahed Hamdi, Lotfi Tadj
doaj   +1 more source

A new ADMM algorithm for the Euclidean median and its application to robust patch regression

open access: yes, 2015
The Euclidean Median (EM) of a set of points $\Omega$ in an Euclidean space is the point x minimizing the (weighted) sum of the Euclidean distances of x to the points in $\Omega$.
Chaudhury, Kunal N., Ramakrishnan, K. R.
core   +1 more source

Dynamic Wave Trains: A Procedural Approach to Spatially Varying Ocean Synthesis

open access: yesComputer Graphics Forum, EarlyView.
In this paper, we present a high performance procedural model capable of synthesizing and rendering a virtually infinite ocean. Our method exhibits spatial variations as the orientations, speed and choppiness of the waves is parametrized for each frequencies and each point in space. The provided visual abstract exhibits a sunset rendering of a large 40 
Romain Fournier   +4 more
wiley   +1 more source

An Augmented Lagrangian Approach for Sparse Principal Component Analysis [PDF]

open access: yes, 2009
Principal component analysis (PCA) is a widely used technique for data analysis and dimension reduction with numerous applications in science and engineering. However, the standard PCA suffers from the fact that the principal components (PCs) are usually
Lu, Zhaosong, Zhang, Yong
core   +2 more sources

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