An efficient adaptive boundary algorithm to reconstruct Neumann boundary data in the MFS for the inverse Stefan problem.
G. Murali Mohan ReddyMichael VynnyckyJosé Alberto CuminatoPublished in: J. Comput. Appl. Math. (2019)
Keyphrases
- data sets
- input data
- learning algorithm
- synthetic data
- data collection
- probabilistic model
- noisy data
- detection algorithm
- preprocessing
- training data
- computational complexity
- data structure
- incremental algorithms
- k means
- voronoi diagram
- synthetic datasets
- data reduction
- spectral clustering
- prior information
- database
- optimization algorithm
- segmentation algorithm
- computationally efficient
- data analysis
- matching algorithm
- worst case
- data sources
- dynamic programming
- np hard
- search space
- optimal solution
- simulated annealing
- image segmentation
- feature selection
- probability distribution
- computational cost
- neural network
- optical flow