Neumann fractional diffusion problems: BURA solution methods and algorithms.
Stanislav HarizanovNikola KosturskiSvetozar MargenovYavor VutovPublished in: Math. Comput. Simul. (2021)
Keyphrases
- methods can be applied
- problems in computer vision
- computational cost
- iterative methods
- heuristic methods
- benchmark datasets
- approximate solutions
- alternative methods
- difficult problems
- significant improvement
- optimization problems
- methods outperform
- computational challenges
- theoretical guarantees
- practical problems
- machine learning methods
- huge data sets
- convergence analysis
- computer vision algorithms
- search methods
- optimization methods
- numerical methods
- efficient solutions
- iterative algorithms
- specific problems
- methods require
- computationally expensive
- exact and approximate
- estimation problems
- provide efficient solutions
- learning algorithm
- solution quality
- benchmark problems
- machine learning algorithms
- np complete
- quadratic program
- genetic algorithm
- optimal solution
- convex optimization problems
- data structure
- computational complexity
- evolutionary algorithm
- simulated annealing
- control problems
- combinatorial optimization
- finite element
- exact algorithms