Pages that link to "Item:Q2125067"
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The following pages link to A regularized limited memory BFGS method for large-scale unconstrained optimization and its efficient implementations (Q2125067):
Displaying 17 items.
- 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)
- Improved Hessian approximations for the limited memory BFGS method (Q1964059) (← links)
- Limited-memory common-directions method for large-scale optimization: convergence, parallelization, and distributed optimization (Q2088969) (← links)
- A regularized limited memory BFGS method for nonconvex unconstrained minimization (Q2248965) (← links)
- Limited memory BFGS method based on a high-order tensor model (Q2340525) (← 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)
- A modified limited memory BFGS method for large-scale optimization (Q2860281) (← links)
- (Q4990986) (← links)
- Adaptive, Limited-Memory BFGS Algorithms for Unconstrained Optimization (Q5231665) (← links)
- Regularization of limited memory quasi-Newton methods for large-scale nonconvex minimization (Q6095733) (← links)
- A regularized limited memory subspace minimization conjugate gradient method for unconstrained optimization (Q6141538) (← links)
- A structured L-BFGS method and its application to inverse problems (Q6557640) (← links)
