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Complete coverage autonomous underwater vehicles path planning based on glasius bio-inspired neural network algorithm for discrete and centralized programming
For the complete coverage path planning of autonomous underwater vehicles (AUVs), a
new strategy with Glasius bio-inspired neural network (GBNN) algorithm with discrete and …
new strategy with Glasius bio-inspired neural network (GBNN) algorithm with discrete and …
A novel formulation for heat conduction using non-convex meshes based on smoothed finite element method
SW Wu, R Yang, RP Niu, LX Cao, X Liu, DT Wan… - International Journal of …, 2025 - Elsevier
A novel formulation for non-convex polygon mesh based on cell-based smoothed finite
element method (CS-FEM) is presented for analyzing heat conduction. The major ingredient …
element method (CS-FEM) is presented for analyzing heat conduction. The major ingredient …
Improved time-space trade-offs for computing Voronoi diagrams
B Banyassady, M Korman, W Mulzer… - ar** the total running …
Time-space trade-offs for computing Euclidean minimum spanning trees
B Banyassady, L Barba, W Mulzer - … , Buenos Aires, Argentina, April 16-19 …, 2018 - Springer
In the limited-workspace model, we assume that the input of size n lies in a random access
read-only memory. The output has to be reported sequentially, and it cannot be accessed or …
read-only memory. The output has to be reported sequentially, and it cannot be accessed or …
Experimental study of compressed stack algorithms in limited memory environments
The {\em compressed stack} is a data structure designed by Barba {\em et al.}(Algorithmica
2015) that allows to reduce the amount of memory needed by an algorithm (at the cost of …
2015) that allows to reduce the amount of memory needed by an algorithm (at the cost of …