Pages that link to "Item:Q4147882"

The following pages link to Matrix conditioning and nonlinear optimization (Q4147882):

Displaying 50 items.

• A limited memory quasi-Newton trust-region method for box constrained optimization (Q269370) (← links)
• Scaling damped limited-memory updates for unconstrained optimization (Q306311) (← links)
• Two modified scaled nonlinear conjugate gradient methods (Q390466) (← links)
• A restarting approach for the symmetric rank one update for unconstrained optimization (Q632383) (← links)
• A symmetric rank-one method based on extra updating techniques for unconstrained optimization (Q651495) (← links)
• Analysis of a self-scaling quasi-Newton method (Q689143) (← links)
• An efficient method for nonlinearly constrained networks (Q706946) (← links)
• Scaled memoryless symmetric rank one method for large-scale optimization (Q720629) (← links)
• Impulse noise removal by an adaptive trust-region method (Q780152) (← links)
• An example of numerical nonconvergence of a variable-metric method (Q795739) (← links)
• On diagonally-preconditioning the 2-step BFGS method with accumulated steps for linearly constrained nonlinear programming (Q797502) (← links)
• On diagonally preconditioning the truncated Newton method for super-scale linearly constrained nonlinear prrogramming (Q800833) (← links)
• A parallel unconstrained quasi-Newton algorithm and its performance on a local memory parallel computer (Q809551) (← links)
• The use of alternation and recurrences in two-step quasi-Newton methods (Q815228) (← links)
• Three-step fixed-point quasi-Newton methods for unconstrained optimisation (Q815230) (← links)
• Extra multistep BFGS updates in quasi-Newton methods (Q884227) (← links)
• On large scale nonlinear network optimization (Q908858) (← links)
• Some numerical experiments with variable-storage quasi-Newton algorithms (Q909585) (← links)
• On the limited memory BFGS method for large scale optimization (Q911463) (← links)
• A compact variable metric algorithm for nonlinear minimax approximation (Q1062915) (← links)
• Adding variables to quasi-newton Hessian approximations (Q1077886) (← links)
• Parallel quasi-Newton methods for unconstrained optimization (Q1116897) (← links)
• Perspectives on self-scaling variable metric algorithms (Q1151823) (← links)
• An assessment of quasi-Newton sparse update techniques for nonlinear structural analysis (Q1153746) (← links)
• New combined method for unconstrained minimization (Q1154119) (← links)
• Partitioned variable metric updates for large structured optimization problems (Q1162795) (← links)
• A new and dynamic method for unconstrained minimization (Q1172368) (← links)
• Numerical comparison of several variable metric algorithms (Q1243254) (← links)
• Numerical expirience with a class of self-scaling quasi-Newton algorithms (Q1264971) (← links)
• Variationally derived scaling and variable metric updates from the preconvex part of the Broyden family (Q1321183) (← links)
• Sizing the BFGS and DFP updates: Numerical study (Q1321366) (← links)
• Preconditioned low-order Newton methods (Q1321417) (← links)
• Computational experience with known variable metric updates (Q1337205) (← links)
• Family of optimally conditioned quasi-Newton updates for unconstrained optimization (Q1338563) (← links)
• Family of projected descent methods for optimization problems with simple bounds (Q1364228) (← links)
• Alternating multi-step quasi-Newton methods for unconstrained optimization (Q1372056) (← links)
• A Kantorovich theorem for the structured PSB update in Hilbert space. (Q1584028) (← links)
• Variable metric methods for unconstrained optimization and nonlinear least squares (Q1593813) (← links)
• A double-parameter scaling Broyden-Fletcher-Goldfarb-Shanno method based on minimizing the measure function of Byrd and Nocedal for unconstrained optimization (Q1670017) (← links)
• A double parameter scaled BFGS method for unconstrained optimization (Q1677470) (← links)
• A new restarting adaptive trust-region method for unconstrained optimization (Q1689065) (← links)
• Cubic regularization in symmetric rank-1 quasi-Newton methods (Q1741108) (← links)
• Global convergence property of scaled two-step BFGS method (Q1744145) (← links)
• A rank-one fitting algorithm for unconstrained optimization problems. (Q1767174) (← links)
• Vectorization of conjugate-gradient methods for large-scale minimization in meteorology (Q1823863) (← links)
• New implicit updates in multi-step quasi-Newton methods for unconstrained optimisation (Q1872935) (← links)
• A trust-region strategy for minimization on arbitrary domains (Q1890927) (← links)
• Mechanical system modelling using recurrent neural networks via quasi- Newton learning methods (Q1900577) (← links)
• Using function-values in multi-step quasi-Newton methods (Q1919371) (← links)
• A regularized limited memory BFGS method for large-scale unconstrained optimization and its efficient implementations (Q2125067) (← links)