Pages that link to "Item:Q1004767"

The following pages link to A limited memory BFGS-type method for large-scale unconstrained optimization (Q1004767):

Displaying 34 items.

• A limited memory BFGS algorithm for non-convex minimization with applications in matrix largest eigenvalue problem (Q283997) (← links)
• A modified PRP conjugate gradient algorithm with nonmonotone line search for nonsmooth convex optimization problems (Q295480) (← links)
• Global convergence of a modified limited memory BFGS method for non-convex minimization (Q385195) (← links)
• A simple sufficient descent method for unconstrained optimization (Q613840) (← links)
• Another three-term conjugate gradient method close to the memoryless BFGS for large-scale unconstrained optimization problems (Q821530) (← links)
• A compact limited memory method for large scale unconstrained optimization (Q869145) (← links)
• A new regularized limited memory BFGS-type method based on modified secant conditions for unconstrained optimization problems (Q897051) (← links)
• On the limited memory BFGS method for large scale optimization (Q911463) (← links)
• An active set limited memory BFGS algorithm for large-scale bound constrained optimization (Q929334) (← links)
• Modified subspace limited memory BFGS algorithm for large-scale bound constrained optimization (Q955062) (← links)
• Notes on the Dai-Yuan-Yuan modified spectral gradient method (Q984907) (← links)
• Nonlinear conjugate gradient methods with sufficient descent condition for large-scale unconstrained optimization (Q1036299) (← links)
• Updating the self-scaling symmetric rank one algorithm with limited memory for large-scale unconstrained optimization (Q1424786) (← links)
• A new adaptive trust region algorithm for optimization problems (Q1637037) (← links)
• A new method with sufficient descent property for unconstrained optimization (Q1725328) (← links)
• Improved Hessian approximations for the limited memory BFGS method (Q1964059) (← links)
• Global convergence of a modified two-parameter scaled BFGS method with Yuan-Wei-Lu line search for unconstrained optimization (Q2007164) (← links)
• A limited memory \(q\)-BFGS algorithm for unconstrained optimization problems (Q2053210) (← links)
• Limited-memory common-directions method for large-scale optimization: convergence, parallelization, and distributed optimization (Q2088969) (← links)
• Limited memory BFGS algorithm for the matrix approximation problem in Frobenius norm (Q2176186) (← links)
• Global convergence of a family of modified BFGS methods under a modified weak-Wolfe-Powell line search for nonconvex functions (Q2190800) (← links)
• A regularized limited memory BFGS method for nonconvex unconstrained minimization (Q2248965) (← links)
• A modified Polak-Ribière-Polyak conjugate gradient algorithm for nonsmooth convex programs (Q2252688) (← links)
• Limited memory BFGS method based on a high-order tensor model (Q2340525) (← links)
• A limited memory adaptive trust-region approach for large-scale unconstrained optimization (Q2412106) (← links)
• A conjugate directions approach to improve the limited-memory BFGS method (Q2449186) (← links)
• Shifted limited-memory variable metric methods for large-scale unconstrained optimization (Q2573468) (← links)
• Limited memory BFGS method for least squares semidefinite programming with banded structure (Q2674941) (← links)
• A modified limited memory BFGS method for large-scale optimization (Q2860281) (← links)
• (Q3640943) (← links)
• A family of quasi-Newton methods for unconstrained optimization problems (Q4646526) (← links)
• (Q4990986) (← links)
• A hybrid iterated local search algorithm with adaptive perturbation mechanism by success-history based parameter adaptation for differential evolution (SHADE) (Q5059314) (← links)
• Ensemble of physics-informed neural networks for solving plane elasticity problems with examples (Q6639905) (← links)