A Squared Smoothing Newton Method for Nonsmooth Matrix Equations and Its Applications in Semidefinite Optimization Problems.
Jie SunDefeng SunLiqun QiPublished in: SIAM J. Optim. (2004)
Keyphrases
- semidefinite
- superlinear convergence
- interior point methods
- optimization problems
- newton method
- globally convergent
- semidefinite programming
- convex optimization
- linear equations
- linear programming
- linear program
- quadratic programming
- nonlinear programming
- optimality conditions
- evolutionary algorithm
- convergence analysis
- objective function
- convex sets
- primal dual
- variational inequalities
- optimization methods
- global convergence
- cost function
- metaheuristic
- linear systems
- sufficient conditions
- least squares
- regularized least squares
- nonnegative matrix factorization
- genetic algorithm