Convergence of Meissner Minimizers of the Ginzburg-Landau Energy of Superconductivity as κ->+∞.
Alexis BonnetS. Jonathan ChapmanRégis MonneauPublished in: SIAM J. Math. Anal. (2000)
Keyphrases
- global minima
- energy consumption
- monte carlo
- energy minimization
- convergence rate
- high temperature
- energy saving
- low energy
- energy efficient
- sufficient conditions
- energy efficiency
- neural network
- global convergence
- stochastic approximation
- energy distribution
- minimum energy
- solar energy
- convergence speed
- regularization method
- real time
- markov chain
- case study
- genetic algorithm
- machine learning
- data sets