A Random Line-Search Optimization Method via Modified Cholesky Decomposition for Non-linear Data Assimilation.
Elias David Niño RuizPublished in: ICCS (5) (2020)
Keyphrases
- optimization method
- line search
- global convergence
- optimization procedure
- global optimum
- data assimilation
- optimization methods
- optimization algorithm
- particle swarm
- quadratic programming
- genetic algorithm
- evolutionary algorithm
- kalman filter
- anomaly detection
- simulated annealing
- objective function
- differential evolution
- risk minimization
- step size
- simulation models
- remote sensing
- conjugate gradient
- hybrid algorithm
- convergence rate
- simulation model
- image sequences
- machine learning
- linear program
- convergence speed
- multi objective
- primal dual
- smart environments
- video sequences
- motion field
- metaheuristic
- three dimensional