Results 61 to 70 of about 2,487 (204)

Dual-Augmented Lagrangian Method for Efficient Sparse Reconstruction [PDF]

IEEE Signal Processing Letters, 2009
We propose an efficient algorithm for sparse signal reconstruction problems. The proposed algorithm is an augmented Lagrangian method based on the dual sparse reconstruction problem. It is efficient when the number of unknown variables is much larger than the number of observations because of the dual formulation.
Tomioka, R., Sugiyama, M.
openaire   +2 more sources

An optimized augmented Lagrangian method and its implementation in discontinuous deformation analysis (DDA)

Yantu gongcheng xuebao, 2019
One of the key factors regarding the validity of the results of discontinuous deformation analysis (DDA) is the computational accuracy of the contact force.
ZHANG Hong
doaj   +1 more source

Localized Quadratic RF Encoded Spin‐Echo With Spiral‐PRIME Reconstruction: A Practical Alternative to 3D FSE for High‐Resolution Volumetric Brain MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To extend localized quadratic (LQ) RF encoded spin‐echo imaging with acquisition and reconstruction strategies that improve efficiency and artifact robustness, positioning it as a practical alternative to 3D FSE for high‐resolution volumetric brain MRI.
Guruprasad Krishnamoorthy, Julia V. Velikina, James G. Pipe   +2 more
wiley   +1 more source

Pontryagin’s Principle-Based Algorithms for Optimal Control Problems of Parabolic Equations

Mathematics
This paper applies the Method of Successive Approximations (MSA) based on Pontryagin’s principle to solve optimal control problems with state constraints for semilinear parabolic equations.
Weilong You, Fu Zhang
doaj   +1 more source

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

Sustainable 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, Shahzad Alvi, Scott J. Niblock, Hamid Ghazi H. Sulimany, Md. Mustaqim Roshid, Frédéric Mirindi   +5 more
wiley   +1 more source

Vehicle Lateral Control Based on Augmented Lagrangian DDPG Algorithm

Applied Sciences
This paper studies the safe trajectory tracking control of intelligent vehicles, which is still an open and challenging problem. A deep reinforcement learning algorithm based on augmented Lagrangian safety constraints is proposed to the lateral control ...
Zhi Li, Meng Wang, Haitao Zhao
doaj   +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?

Sustainable 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, Erick Okoth, Yasin Sogut, Nazli Demirtas   +3 more
wiley   +1 more source

Optimality properties of an Augmented Lagrangian method on infeasible problems [PDF]

Computational Optimization and Applications, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ernesto G. Birgin, José Mario Martínez, Leandro da Fonseca Prudente   +2 more
openaire   +2 more sources

Solution of the Simultaneous Routing and Bandwidth Allocation Problem in Energy-Aware Networks Using Augmented Lagrangian-Based Algorithms and Decomposition

Energies
We discuss several algorithms for solving a network optimization problem of simultaneous routing and bandwidth allocation in green networks in a decomposed way, based on the augmented Lagrangian. The problem is difficult due to the nonconvexity caused by
Anthony Chukwuemeka Nwachukwu, Andrzej Karbowski   +1 more
doaj   +1 more source

RES‐AD: An AutoML‐Driven Robust Ensemble Framework for Real‐Time Anomaly Detection and Energy Forecasting in Smart Grids

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurate load forecasting and reliable anomaly detection are critical for the stable operation of modern smart grids (SGs), which increasingly rely on cyber‐connected infrastructures. However, the integration of smart metres and two‐way communication exposes SGs to data integrity attacks that can manipulate consumption measurements, degrade ...
Murad Ali Khan, Naeem Iqbal, Syed Shehryar Ali Naqvi, Muhammad Faseeh, Do‐Hyeun Kim   +4 more
wiley   +1 more source