A numerical algorithm for finding positive solutions for classes of p-Laplacian equations.
G. A. AfrouziS. MahdaviZ. NaghizadehPublished in: Appl. Math. Comput. (2007)
Keyphrases
- optimal solution
- computational complexity
- benchmark problems
- objective function
- preprocessing
- detection algorithm
- image processing
- learning algorithm
- expectation maximization
- high accuracy
- worst case
- experimental evaluation
- linear systems
- solution quality
- times faster
- optimization algorithm
- computational cost
- dynamic programming
- np hard
- simulated annealing
- cost function
- segmentation algorithm
- significant improvement
- k means
- clustering method
- evolutionary algorithm
- positive and negative
- convergence rate
- search space
- lower bound
- recognition algorithm
- similarity measure