On the convergence of s-dependent GFR conjugate gradient method for unconstrained optimization.
Wenling ZhaoChangyu WangYajing GuPublished in: Numer. Algorithms (2018)
Keyphrases
- conjugate gradient method
- unconstrained optimization
- objective function
- conjugate gradient
- line search
- convergence property
- trust region
- constrained optimization
- convergence rate
- optimization methods
- nonlinear optimization
- gradient method
- iterative methods
- penalty function
- faster convergence
- search methods
- global convergence
- global optimum
- training algorithm
- multi objective
- convergence speed
- optimal solution
- neural network
- cost function
- positive definite
- convergence analysis
- optimization problems
- image sequences