Algorithms in Stochastic Models
A special issue of Algorithms (ISSN 1999-4893).
Deadline for manuscript submissions: closed (31 August 2021) | Viewed by 11813
Special Issue Editors
Interests: optimal control; decision-making under uncertainty; predictive modeling; data analytics; and optimization in autonomous/semi-autonomous systems
Interests: systems, control, and optimization; wireless networks and cellular systems; computer and communication networks; sensor networks; resource allocation and management; information theory; stochastic optimization and approximation; discrete event systems
Special Issue Information
Dear Colleagues,
Stochastic models are useful in many real-world scenarios to capture their inherent randomness. Examples of their applications include biological processes, financial markets, manufacturing processes, control systems, power grids, and weather prediction. As stochastic models often suffer from significant complexity, we are interested in algorithms to tackle computationally intensive challenges in stochastic models, including decision-making, control, signal processing, optimization, and resource allocation.
This will bring together algorithms, modeling, and numerical studies on algorithms in stochastic models in applications, including (but not limited to) intelligent transportation, smart and connected communities, sensing, smart grids, finance, and telecommunications.
Prof. Dr. Edwin K P Chong
Dr. Shankarachary Ragi
Guest Editors
Manuscript Submission Information
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Keywords
- Algorithms in stochastic models
- Consensus algorithms
- Optimization
- Decision making under uncertainty
- Game-theoretic approaches
- Smart grids
- Computer networks
- Connected autonomous vehicles
- Finance
- Telecommunications
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