An index search method based inner-outer iterative algorithm for solving nonnegative least squares problems.
Yueh-Cheng KuoChing-Sung LiuPublished in: J. Comput. Appl. Math. (2023)
Keyphrases
- least squares
- algebraic equations
- high accuracy
- combinatorial optimization
- cost function
- computational cost
- objective function
- dynamic programming
- preprocessing
- detection algorithm
- optimization algorithm
- computational complexity
- segmentation algorithm
- search strategy
- k means
- search methods
- exhaustive search
- clustering method
- linear least squares
- search procedure
- levenberg marquardt
- curve fitting
- search space
- quadratic programming
- sparse linear
- decision directed
- energy function
- matching algorithm
- hill climbing
- iterative methods
- quadratic optimization problems
- segmentation method
- linear programming
- optimization problems
- convergence rate
- efficient algorithms for solving
- branch and bound search
- support vector machine
- iterative algorithms
- simulated annealing
- negative matrix factorization
- tree structure
- evolutionary algorithm
- learning algorithm
- convex quadratic programming
- pruning power
- implicit enumeration
- parameter estimation
- newton method
- probabilistic model
- model free
- iterative process
- backtracking algorithm
- nonnegative matrix factorization
- optimal solution
- similarity measure
- clustering algorithm
- em algorithm