Treating the Gibbs phenomenon in barycentric rational interpolation and approximation via the S-Gibbs algorithm.
Jean-Paul BerrutStefano De MarchiGiacomo ElefanteFrancesco MarchettiPublished in: Appl. Math. Lett. (2020)
Keyphrases
- cost function
- monte carlo
- dynamic programming
- detection algorithm
- experimental evaluation
- objective function
- computational complexity
- high accuracy
- optimization algorithm
- significant improvement
- computational cost
- theoretical analysis
- learning algorithm
- expectation maximization
- approximation ratio
- times faster
- input data
- np hard
- search space
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- image interpolation
- markov random field
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- matching algorithm
- segmentation algorithm
- probabilistic model
- reinforcement learning
- similarity measure