A feasible direction algorithm for nonlinear second-order cone programs.
Alfredo CanelasMiguel CarrascoJulio LópezPublished in: Optim. Methods Softw. (2019)
Keyphrases
- high accuracy
- learning algorithm
- optimal solution
- times faster
- computational cost
- experimental evaluation
- cost function
- detection algorithm
- dynamic programming
- computational complexity
- objective function
- simulated annealing
- neural network
- k means
- significant improvement
- search space
- data sets
- matching algorithm
- provably correct
- piecewise linear
- recognition algorithm
- classification algorithm
- optimization algorithm
- particle swarm optimization
- least squares
- probabilistic model
- mobile robot
- lower bound
- preprocessing