Results 91 to 100 of about 16,083 (234)

Exploring the 3D Gravity Inversion Problem Using a Compact Hybrid Transformer‐Based Deep Learning Model

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract The three‐dimensional (3D) gravity inversion problem is the process of delineating the volumetric mass distributions from the surface gravity anomalies. Recently, many innovative Convolutional Neural Network (CNN) based algorithms have found some success in reduction of computation costs and delineation of sharper boundaries of causative ...
Abhirup Chaudhuri, Akanksha Tirkey, Ankit Singh   +2 more
wiley   +1 more source

Power optimisation of simultaneously transmitted communication and radar waveforms from a common array

The Journal of Engineering, 2019
Synthesising radar and communication waveforms in different directions using a common array is a hardware-saving solution for the coexistence of communication and radar in competitive spectrum environments.
Xiang Liu, Huaiying Tan, Tianyao Huang, Yimin Liu, Jie Zhou   +4 more
doaj   +1 more source

Next Generation 7 Tesla Arterial Spin Labeling With Rotated Spiral Acquisition Enables Mesoscale Resolution in 3D Brain Perfusion and Functional MRI

Magnetic Resonance in Medicine, Volume 95, Issue 5, Page 2702-2717, May 2026.
ABSTRACT Purpose To achieve high resolution (≤ 1 mm isotropic) whole‐brain perfusion imaging at 7 T with next generation ASL pulse sequence, reconstruction algorithm, and MRI hardware. Methods We capitalized on three major innovations: (1) FLASH‐based pseudo‐Continuous ASL (pCASL) sequence with rotated golden‐angle stack‐of‐spirals (rGA‐SoS) sampling; (
Chenyang Zhao, Fanhua Guo, Zidong Yang, Xingfeng Shao, Samantha J. Ma, Alexander J. S. Beckett, An T. Vu, David A. Feinberg, Danny J. J. Wang   +8 more
wiley   +1 more source

A Modified Approach to Distributed Bregman ADMM for a Class of Nonconvex Consensus Problems

Journal of Mathematics
This article presents a refined iteration of the distributed Bregman alternating direction method of multipliers (ADMM) tailored to tackle nonconvex consensus issues, especially those with multiple blocks.
Zhonghui Xue, Qianfeng Ma, Yazheng Dang
doaj   +1 more source

Total Variation Regularized GRACE(‐FO) Inversion

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 5, May 2026.
Abstract Gravity estimation from satellite‐satellite tracking missions such as GRACE(‐FO) is an ill‐posed inverse problem. The conventional approach to regularized inversion of GRACE(‐FO) measurements uses L2 ${L}_{2}$‐Tikhonov regularization with a heuristic constraint matrix derived based on knowledge of spatiotemporal distribution of the signal ...
G. Jacob, S. Bettadpur, H. Save, P. Nagel, F. Wang   +4 more
wiley   +1 more source

Constructing hidden differential equations using a data-driven approach with the alternating direction method of multipliers (ADMM)

Electronic Research Archive
This paper adopted the alternating direction method of multipliers (ADMM) which aims to delve into data-driven differential equations. ADMM is an optimization method designed to solve convex optimization problems. This paper attempted to illustrate the conceptual ideas and parameter discovery of the linear coupled first-order ODE. The estimation of the
Jye Ying Sia, Yong Kheng Goh, How Hui Liew, Yun Fah Chang   +3 more
openaire   +2 more sources

Alternating Direction Method of Multipliers for Linear Programming

, 2016
© 2016, Operations Research Society of China, Periodicals Agency of Shanghai University, Science Press, and Springer-Verlag Berlin Heidelberg. Linear programming is the core problem of various operational research problems.
Yuan, Xiao Ming, He, Bing Sheng, Bing-Sheng He, Xiao-Ming Yuan   +3 more
core   +1 more source

Penjadwalan Pemeliharaan Trek Kereta dengan Metode Distributed Model Predictive Control

Jurnal Nasional Teknik Elektro dan Teknologi Informasi, 2019
This work addresses the development of Distributed Model Predictive Control (DMPC) approaches for the planning of maintenance operations of large-scale railway infrastructure formulated as a Mixed-Integer Linear Programming (MILP) problem.
Muhammad Faris, Ircham Ircham
doaj   +1 more source

On convergence rates of proximal alternating direction method of multipliers

, 2023
In this paper we consider from two different aspects the proximal alternating direction method of multipliers (ADMM) in Hilbert spaces. We first consider the application of the proximal ADMM to solve well-posed linearly constrained two-block separable ...
Jin, Qinian
core  

Distributed Inexact Consensus-Based ADMM Method for Multi-Agent Unconstrained Optimization Problem

IEEE Access, 2019
Recently, the alternating direction method of multipliers (ADMM) has been used effectively to solve the multi-agent unconstrained optimization problems, where the objective function is the sum of privately known local objective functions of agents.
Long Jian, Yiyi Zhao, Jiangping Hu, Peng Li   +3 more
doaj   +1 more source