Pages that link to "Item:Q3195438"
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The following pages link to On Efficiently Computing the Eigenvalues of Limited-Memory Quasi-Newton Matrices (Q3195438):
Displaying 13 items.
- A limited memory quasi-Newton trust-region method for box constrained optimization (Q269370) (← links)
- On solving large-scale limited-memory quasi-Newton equations (Q501277) (← links)
- On solving L-SR1 trust-region subproblems (Q513714) (← links)
- Representations of quasi-Newton matrices and their use in limited memory methods (Q1322551) (← links)
- A new regularized quasi-Newton method for unconstrained optimization (Q1800450) (← links)
- Exact linesearch limited-memory quasi-Newton methods for minimizing a quadratic function (Q2044499) (← links)
- A dense initialization for limited-memory quasi-Newton methods (Q2322555) (← links)
- On efficiently combining limited-memory and trust-region techniques (Q2398109) (← links)
- A limited-memory trust-region method for nonlinear optimization with many equality constraints (Q2695671) (← links)
- Trust-region algorithms for training responses: machine learning methods using indefinite Hessian approximations (Q5113710) (← links)
- A new multipoint symmetric secant method with a dense initial matrix (Q6113526) (← links)
- Algorithm 1030: SC-SR1: MATLAB software for limited-memory SR1 trust-region methods (Q6599988) (← links)
- Shape-changing trust-region methods using multipoint symmetric secant matrices (Q6644991) (← links)
