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Journal of the Operations Research Society of China is a peer-reviewed journal published by Springer Nature, covering Advanced Optimization Algorithms Research, Sparse and Compressive Sensing Techniques, Optimization and Variational Analysis.
| Publisher | Springer Nature |
|---|---|
| Reference style | Numbered (Springer) Numbered — [1], [2] in the text 1. Smith, A., Jones, B., Lee, C.: A representative article title. Journal of the Operations Research Society of China 12, 45–58 (2023)
Formats any DOI in Journal of the Operations Research Society of China style. No sign-up. |
| Publishes research in | Advanced Optimization Algorithms Research Sparse and Compressive Sensing Techniques Optimization and Variational Analysis Optimization and Search Problems Scheduling and Optimization Algorithms |
| ISSN | 2194-668X |
| Citation impact (2-yr) | 0.81 |
| h-index | 27 |
| i10-index | 108 |
| Total citations | 4,094 |
| Article processing charge | $2,990 |
| Top institutions publishing here | Chinese Academy of Sciences |
| Journal website | link.springer.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Abstract Manifold optimization is ubiquitous in computational and applied mathematics, statistics, engineering, machine learning, physics, chemistry, etc. One of the main challenges usually is the non-convexity of the manifold constraints. By utilizing the geometry of manifold, a large class of constrained optimization problems can be viewed as unconstrained optimization problems on manifold. From this perspective,…
Abstract Recently, alternating direction method of multipliers (ADMM) attracts much attentions from various fields and there are many variant versions tailored for different models. Moreover, its theoretical studies such as rate of convergence and extensions to nonconvex problems also achieve much progress. In this paper, we give a survey on some recent developments of ADMM…
