Residual Expansion Algorithm: Fast and Effective Optimization for Nonconvex Least Squares Problems.
Daiki IkamiToshihiko YamasakiKiyoharu AizawaPublished in: CoRR (2017)
Keyphrases
- least squares
- optimization problems
- efficient algorithms for solving
- optimization algorithm
- objective function
- cost function
- benchmark problems
- combinatorial optimization
- optimization process
- dynamic programming
- computational complexity
- simulated annealing
- learning algorithm
- expectation maximization
- optimization method
- subgradient method
- knapsack problem
- global optimization
- quadratic optimization problems
- k means
- probabilistic model
- computationally efficient
- segmentation algorithm
- np hard
- linear programming
- np complete
- worst case
- linear program
- detection algorithm
- constrained optimization
- levenberg marquardt
- continuous optimization
- sparse linear
- nonlinear least squares
- parameter estimation
- lower bound
- optimal solution