scholarly journals Optimal Vector Smoothing Splines with Coupled Constraints

2012 ◽  
Vol 2012 (0) ◽  
pp. 113-118
Author(s):  
Hiroyuki Fujioka ◽  
Hiroyuki Kano
Keyword(s):  
Smoothing Splines ◽  
Optimal Vector ◽  
Coupled Constraints

scholarly journals Improving Computational Efficiency in Crowded Task Allocation Games with Coupled Constraints

2019 ◽  
Vol 9 (10) ◽  
pp. 2117
Author(s):  
Ming Chong Lim ◽  
Han-Lim Choi
Keyword(s):  
Task Allocation ◽  
Random Sampling ◽  
Scheduling Algorithm ◽  
Stochastic Algorithm ◽  
Speed Of Convergence ◽  
Temporal Dependence ◽  
Real World Applications ◽  
Coupled Constraints ◽  
Multi Agent ◽  
Feasible Solutions

Multi-agent task allocation is a well-studied field with many proven algorithms. In real-world applications, many tasks have complicated coupled relationships that affect the feasibility of some algorithms. In this paper, we leverage on the properties of potential games and introduce a scheduling algorithm to provide feasible solutions in allocation scenarios with complicated spatial and temporal dependence. Additionally, we propose the use of random sampling in a Distributed Stochastic Algorithm to enhance speed of convergence. We demonstrate the feasibility of such an approach in a simulated disaster relief operation and show that feasibly good results can be obtained when the confirmation and sample size requirements are properly selected.

The optimal vector phase matching conditions in crystalline materials determined by extreme surfaces method: Example of uniaxial nonlinear crystals

2021 ◽  
Vol 120 ◽  
pp. 111420
Author(s):  
Nazariy Andrushchak ◽  
Oleh Buryy ◽  
Andriy Danylov ◽  
Anatoliy Andrushchak ◽  
Bouchta Sahraoui
Keyword(s):  
Phase Matching ◽  
Matching Conditions ◽  
Crystalline Materials ◽  
Nonlinear Crystals ◽  
Optimal Vector
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