Solving Quadratic Equations via Amplitude-based Nonconvex Optimization.
Vincent MonardoYuanxin LiYuejie ChiPublished in: ICASSP (2019)
Keyphrases
- globally convergent
- nonlinear programming
- quadratic program
- optimization problems
- convex optimization
- objective function
- variational inequalities
- subgradient method
- global optimization
- combinatorial optimization
- quadratic programming
- discrete optimization
- convex optimization problems
- linear programming
- line search
- nonlinear equations
- autocalibration
- global convergence
- polynomial equations
- lagrange multipliers
- quadratic optimization problems
- semidefinite programming
- optimization algorithm
- semidefinite
- newton method
- computational complexity
- linearly constrained
- algebraic equations
- linear program
- constrained optimization
- mixed integer
- optimization process
- augmented lagrangian
- cost function
- global optimization problems
- wave equation
- sequential quadratic programming
- linear constraints
- pairwise
- linear equations