A two-dimensional randomized extended Gauss-Seidel algorithm for solving least squares problems.
Ashif MustafaManideepa SahaPublished in: Numer. Algorithms (2024)
Keyphrases
- least squares
- benchmark problems
- efficient algorithms for solving
- global optimization problems
- optimal solution
- convex quadratic programming
- combinatorial optimization
- np hard
- quadratic optimization problems
- optimization algorithm
- linear programming
- k means
- detection algorithm
- constrained problems
- simulated annealing
- cost function
- linear least squares
- algebraic equations
- differential evolution
- curve fitting
- search algorithm for solving
- robust estimation
- gauss seidel method
- parameter estimation
- particle swarm optimization
- worst case
- computational complexity
- knapsack problem
- parallel processing
- quadratic programming
- levenberg marquardt
- reinforcement learning
- randomized algorithm
- expectation maximization
- sparse linear
- dynamic programming
- multi objective
- artificial neural networks
- objective function